| Future Program: Laguna |
DARPA/BTO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) announced the forthcoming Laguna program to mitigate reliance on foreign supply chains for specialty chemical... |
2026-11-30T23:59:00 ET |
Integrated Chemical ManufacturingSpecialty Chemical FormulationAdvanced Protective CoatingsComposite Resins and AdhesivesHigh-Performance Polymeric MaterialsMolded Structural ComponentsNon-Fluorinated Polymer SynthesisDomestic Feedstock ConversionPredictive Materials ModelingChemical Process OptimizationMaterial Property PredictionBiochemical ConversionPetrochemical Feedstock Processing |
Integrated Manufacturing of Specialty ChemicalsPredictive Modeling and Optimization |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
Future Program: Laguna | DARPA/BTO | DARPA-SN-27-15 | BSA, CSA, ESA, ETA, PSA | Integrated Chemical Manufacturing | Specialty Chemical Formulation | Advanced Protective Coatings | Composite Resins and Adhesives | High-Performance Polymeric Materials | Molded Structural Components | Non-Fluorinated Polymer Synthesis | Domestic Feedstock Conversion | Predictive Materials Modeling | Chemical Process Optimization | Material Property Prediction | Biochemical Conversion | Petrochemical Feedstock Processing | The Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) announced the forthcoming Laguna program to mitigate reliance on foreign supply chains for specialty chemicals. The program's goal is to develop integrated manufacturing methods that directly convert abundant domestic feedstocks (e.g., sugars, ethylene, BTX) into application-ready specialty chemical formulations, such as protective coatings, composite resins, and high-performance polymers for defense systems. This approach seeks to bypass conventional multi-step chemical synthesis by integrating synthesis, formulation, and validation to reduce waste and intermediate processing. The 36-month program will consist of two Technical Areas (TAs): TA1 (Make & Formulate) for performers to develop and demonstrate products, and TA2 (Model) for government partners and research centers to create predictive models optimizing the process and final material properties. (Source: DARPA-SN-27-15.pdf.) | Dr. William Mounfield | Didier Perrodin Francesco Ricci Gao Liu Peidong Yang Andrew Minor Eric Schaible Brooks Abel Amy Herr Michael Mahoney Zixi Hu Talita Perciano Costa Leite Kenny Higa Minliang Yang Kristin Persson Philip Mallon Neil Razdan Jean Luca Bez Sabbie Miller Eric Dailing Eric Masanet Houjun Tang Nawa Raj Baral Venkataramana Pidatala Anna Giannakou Qin Yu | Integrated Manufacturing of Specialty Chemicals | Predictive Modeling and Optimization |
| Request for Information: Flexoelectric Future |
DARPA/MXO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) has issued a Request for Information (RFI) for 'Flexoelectric Futures' to inform a potential research program. The RFI seeks to explore flexoelect... |
2026-12-04T14:00:00 ET |
Flexoelectric MaterialsStrain-Gradient TransductionElectromechanical Response MechanismsAdvanced Dielectric MaterialsComputational Materials ModelingPredictive Materials DesignElectromechanical MetrologyState-Selective Device DesignCompliant Robotic StructuresDistributed Sensing SystemsAdaptive TransductionPhysical & Morphological ComputingScalable Material FabricationDevice Integration & Packaging |
Mechanism-Resolved Compliant Flexoelectric MaterialsState-Selective Strain-Gradient Transduction Device ElementsExploratory Concepts and Technology Roadmapping |
BSACSAEESAESAETAPSA· Dielectric Materials· Material Synthesis Concepts |
AI Summary | Collaboration Graph |
Request for Information: Flexoelectric Future | DARPA/MXO | DARPA-SN-27-10 | BSA, CSA, EESA, ESA, ETA, PSA, · Dielectric Materials, · Material Synthesis Concepts | Flexoelectric Materials | Strain-Gradient Transduction | Electromechanical Response Mechanisms | Advanced Dielectric Materials | Computational Materials Modeling | Predictive Materials Design | Electromechanical Metrology | State-Selective Device Design | Compliant Robotic Structures | Distributed Sensing Systems | Adaptive Transduction | Physical & Morphological Computing | Scalable Material Fabrication | Device Integration & Packaging | The Defense Advanced Research Projects Agency (DARPA) has issued a Request for Information (RFI) for 'Flexoelectric Futures' to inform a potential research program. The RFI seeks to explore flexoelectricity and other strain-gradient-driven electromechanical responses as a new technology platform for Department of War (DoW) sensing and transduction needs, particularly where mechanical compliance and geometric complexity limit conventional piezoelectric systems. The primary technical goal is to transform poorly understood phenomena (e.g., interfaces, defects, ionic transport, geometry) from sources of variability into controllable design variables for creating reproducible, high-performance materials and devices. The RFI solicits information in three areas: 1) 'Mechanism-Resolved Compliant Flexoelectric Materials' focuses on understanding fundamental mechanisms, developing predictive design rules, and creating stable, high-response materials. 2) 'State-Selective Strain-Gradient Transduction Device Elements' seeks device concepts that can intrinsically distinguish between different mechanical states (e.g., bend vs. impact, contact vs. slip) to perform local, material-level computation. 3) 'Idea Exploration' is an open call for novel concepts and key research questions to advance the field. The overall objective is to assess the viability of strain-gradient transduction for future applications like distributed sensing, adaptive transduction, and physical-compute systems. (Source: DARPA-SN-27-10.pdf.) | Dr. David Meyer | Didier Perrodin Francesco Ricci Kevin Cruse Yu Chen Alex Newkirk Marina Radulaski Marcus Noack Prabal Dutta Lane Martin Anastasiia Butko Angelos Ioannou Rajshree Deshmukh Kristin Persson Bruce Nordman Petr Horava Dilip Vasudevan Nobumichi Tamura Linqing Luo Yuan Mei Harold Barnard Eric Masanet Zhi Jackie Yao John Thomas Arian Gashi Maximilian Auffhammer Ahmad Omar Thomas Hendrickson Michael Zaletel Georgios Michelogiannakis Panagiotis Zarkos Ian Lacey Qin Yu Zachary Jones | Mechanism-Resolved Compliant Flexoelectric Materials | State-Selective Strain-Gradient Transduction Device Elements | Exploratory Concepts and Technology Roadmapping |
| RFI CNET Reverse Engineering and AI |
JWAC/CNET LAB |
Sources Sought |
The Joint Warfare Analysis Center (JWAC) is issuing a Request for Information (RFI) to identify contractors capable of providing specialized engineering support for its CNET Lab in Dahlgren, VA. The e... |
2026-11-15T12:00:00 ET |
Software Reverse EngineeringArtificial IntelligenceFoundation Model DevelopmentDistributed AI/ML TrainingLarge-Scale Data PipelinesHardware-Software Co-designNeurosymbolic AI IntegrationAdversarial Machine LearningAI/ML Inference OptimizationNetwork Modeling and SimulationNetwork Data AnalysisCyber Threat AnalysisMulti-Architecture Reverse EngineeringCryptography and Obfuscation AnalysisEmbedded Systems Security |
Software and Firmware Reverse Engineering for Cyber OperationsFoundation Model Development for Network and Cyber Data Analysis |
BSACSAEESAETA |
AI Summary | Collaboration Graph |
RFI CNET Reverse Engineering and AI | JWAC/CNET LAB | FA489027RFI0004 | BSA, CSA, EESA, ETA | Software Reverse Engineering | Artificial Intelligence | Foundation Model Development | Distributed AI/ML Training | Large-Scale Data Pipelines | Hardware-Software Co-design | Neurosymbolic AI Integration | Adversarial Machine Learning | AI/ML Inference Optimization | Network Modeling and Simulation | Network Data Analysis | Cyber Threat Analysis | Multi-Architecture Reverse Engineering | Cryptography and Obfuscation Analysis | Embedded Systems Security | The Joint Warfare Analysis Center (JWAC) is issuing a Request for Information (RFI) to identify contractors capable of providing specialized engineering support for its CNET Lab in Dahlgren, VA. The effort requires on-site personnel with TS//SCI clearance to support equipment maintenance, troubleshooting, and proof-of-concept tactic development within telecommunications and computer network environments. The core technical requirements are expertise in two areas: 1) Software Reverse Engineering, focusing on analyzing software, binaries, and firmware from various architectures (e.g., x86, ARM, MIPS) to support threat network and TTP development. 2) Artificial Intelligence, requiring deep expertise in the full lifecycle of foundation model development, including pre-training on massive datasets (PCAP, simulation outputs, RE artifacts), distributed training on GPU clusters, post-training alignment, and optimized production deployment for tasks related to cybersecurity and network analysis. (Source: (U) CNET LAB Reverse Engineering and Artificial Intelligence (REAI) FY28.pdf.) | N/A | Seth Carbon Eric Chagnon Christoph Kirst Katherine Rasmussen Jason Lowe-Power Tiffany Connors Steven Hofmeyr Alexandre Bayen Koushik Sen Angelos Ioannou Julien Esseiva Suren Byna Zachary Needell Cees De Laat Evangelos Chaniotakis Gregory Lemieux Arpit Gupta Houjun Tang Anna Giannakou Matthew Henderson Scott Beamer Daniel Arnold | Software and Firmware Reverse Engineering for Cyber Operations | Foundation Model Development for Network and Cyber Data Analysis |
| Request for Information (RFI): Formal Learning and Abstractions for System Heterogeneity (FLASH) |
DARPA/IPTO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) Information Processing Techniques Office (IPTO) has issued a Request for Information (RFI) for the Formal Learning and Abstractions for System Het... |
2026-11-30T17:00:00 ET |
Formal MethodsSystem HeterogeneityAutomated System SynthesisHigh-Assurance Cyber-Physical SystemsGenerative AI ModelsSymbolic ReasoningFormal Specification & VerificationProvable System CorrectnessAutomated Assurance GenerationFormal Knowledge RepresentationInductive SynthesisInteractive Theorem ProvingMulti-Agent System ArchitecturesAdversarial AI Resilience |
Formal Specification and Design Space ExplorationAutomated Synthesis of Heterogeneous SystemsCo-generation of Assurance and Explainable ArtifactsEvaluation of System Robustness and Heterogeneity |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Request for Information (RFI): Formal Learning and Abstractions for System Heterogeneity (FLASH) | DARPA/IPTO | DARPA-SN-27-17 | BSA, CSA, EESA, ESA, ETA, PSA | Formal Methods | System Heterogeneity | Automated System Synthesis | High-Assurance Cyber-Physical Systems | Generative AI Models | Symbolic Reasoning | Formal Specification & Verification | Provable System Correctness | Automated Assurance Generation | Formal Knowledge Representation | Inductive Synthesis | Interactive Theorem Proving | Multi-Agent System Architectures | Adversarial AI Resilience | The Defense Advanced Research Projects Agency (DARPA) Information Processing Techniques Office (IPTO) has issued a Request for Information (RFI) for the Formal Learning and Abstractions for System Heterogeneity (FLASH) program. The RFI seeks to gather information on novel methodologies that use generative models and symbolic reasoning to automatically synthesize and understand high-assurance, heterogeneous cyber-physical systems from formal specifications. The central goal is to enhance system robustness by generating diverse instances that share core functionality but possess different failure modes and attack surfaces, thereby mitigating the transferability of adversary knowledge. DARPA is requesting information in two primary areas: (1) national security applications (e.g., autonomous platforms, secure communications, industrial control systems) that could benefit from this dynamic heterogeneity, and (2) potential technical frameworks, synthesis techniques, and evaluation criteria to achieve the FLASH vision of provably correct, varied system generation. (Source: DARPA-SN-27-17.pdf.) | FLASH@darpa.mil | Kevin Cruse Chris Mungall Eric Chagnon Xiaoye Sherry Li Katherine Rasmussen Tiffany Connors Zixi Hu Sarah Poon Talita Perciano Costa Leite Anastasiia Butko Steven Hofmeyr Alexandre Bayen Koushik Sen Angelos Ioannou Gunther Weber Christian Schmid Zachary Needell Luisa Caldas Jingjing Zhang Gregory Lemieux Houjun Tang Eric Masanet Gazi Mahmud Hannah Cohoon Anna Giannakou Jeetika Malik Matthew Henderson Sascha Diefenbacher Sunhee Baik Scott Beamer Daniel Arnold | Formal Specification and Design Space Exploration | Automated Synthesis of Heterogeneous Systems | Co-generation of Assurance and Explainable Artifacts | Evaluation of System Robustness and Heterogeneity |
| CNET Emulation and Expertise |
Joint Staff/JWAC |
Sources Sought |
The Joint Warfare Analysis Center (JWAC) is seeking contractor support to provide hardware emulation expertise and computer scientists/engineers for its CNET (Computer Network and Telecommunications) ... |
2026-11-15T12:00:00 ET |
Hardware Emulation & VirtualizationNetwork Simulation & ModelingForeign Systems AnalysisSystems Programming (C/C++/Rust)Operating System InternalsKernel NetworkingCyber Capability DevelopmentRouter Architecture EmulationData Plane & Control Plane ProgrammingEmulation Architecture DesignHardware-in-the-Loop (HIL) SystemsEmulation Validation & Verification (V&V)Formal Methods & Model CheckingSystem State Monitoring & TelemetryConcurrency & Deterministic Systems |
Hardware Emulation and VirtualizationLow-Level Systems ProgrammingEmulation Architecture and ScalabilityValidation and Verification (V&V) of Emulations |
BSACSAEESAETAPSA |
AI Summary | Collaboration Graph |
CNET Emulation and Expertise | Joint Staff/JWAC | FA489027RFI0003 | BSA, CSA, EESA, ETA, PSA | Hardware Emulation & Virtualization | Network Simulation & Modeling | Foreign Systems Analysis | Systems Programming (C/C++/Rust) | Operating System Internals | Kernel Networking | Cyber Capability Development | Router Architecture Emulation | Data Plane & Control Plane Programming | Emulation Architecture Design | Hardware-in-the-Loop (HIL) Systems | Emulation Validation & Verification (V&V) | Formal Methods & Model Checking | System State Monitoring & Telemetry | Concurrency & Deterministic Systems | The Joint Warfare Analysis Center (JWAC) is seeking contractor support to provide hardware emulation expertise and computer scientists/engineers for its CNET (Computer Network and Telecommunications) lab. The objective is to conduct comprehensive modeling and network system emulations of both US and foreign systems for experimentation and proof-of-concept tactic development. Key technical requirements include emulating telecommunications and computer network hardware using platforms like QEMU-KVM, validating the emulations, and developing monitoring tools. Required expertise spans systems programming (C/C++), OS internals, virtualization, router emulation (protocol stacks, data/control planes), and advanced simulation concepts such as cycle-accuracy, state checkpointing, and Hardware-in-the-Loop (HIL). The contractor must have personnel with TS/SCI clearance available to work on-site at Dahlgren, VA. (Source: (U) CNET Lab Emulatoin and Expertise FY28.pdf.) | N/A | Claire Tomlin Dipak Ghosal Zhengji Zhao Kirill Lozinskiy Ronal Kumar Katherine Rasmussen Jason Lowe-Power Tiffany Connors Sukhpreet Kaur Prabal Dutta Scott Baden Anastasiia Butko Steven Hofmeyr Alexandre Bayen Koushik Sen Angelos Ioannou Bruce Nordman Cees De Laat Jean Luca Bez Evangelos Chaniotakis Stefan Lasiewski Gregory Lemieux Kameshwar Poolla Eric Masanet Thomas Hendrickson Anna Giannakou Georgios Michelogiannakis Bruce Mah Scott Beamer | Hardware Emulation and Virtualization | Low-Level Systems Programming | Emulation Architecture and Scalability | Validation and Verification (V&V) of Emulations |
| Request for Information (RFI) for a Cislunar Space System (CSS) |
Department of the Air Force |
Special Notice |
The Department of the Air Force (DAF) is seeking information from industry for a Cislunar Space System (CSS) to inform a potential acquisition. The DAF is interested in procuring up to five space vehi... |
2026-11-13T12:00:00 ET |
Cislunar Orbit DynamicsSpacecraft Bus DesignPayload Integration & InterfacesGuidance, Navigation & Control (GNC)Autonomous Spacecraft OperationsSpace Vehicle Integration & Test (AI&T)Ground Segment Command & Control (C2)Mission Planning & Scheduling (MPS)Onboard & Ground Data ProcessingSpacecraft Communications SystemsLaunch Integration & Fairing OptimizationSpace Systems CybersecurityLaunch Environment AnalysisCislunar Pointing, Navigation, & Timing (PNT) |
Space Segment and Cislunar OperationsGround Segment, C2, and Data ProcessingLaunch and Communication Segment IntegrationSystem Engineering, Interfaces, and Program Management |
BSACSAEESAETALDPSA |
AI Summary | Collaboration Graph |
Request for Information (RFI) for a Cislunar Space System (CSS) | Department of the Air Force | 10302026-01 | BSA, CSA, EESA, ETA, LD, PSA | Cislunar Orbit Dynamics | Spacecraft Bus Design | Payload Integration & Interfaces | Guidance, Navigation & Control (GNC) | Autonomous Spacecraft Operations | Space Vehicle Integration & Test (AI&T) | Ground Segment Command & Control (C2) | Mission Planning & Scheduling (MPS) | Onboard & Ground Data Processing | Spacecraft Communications Systems | Launch Integration & Fairing Optimization | Space Systems Cybersecurity | Launch Environment Analysis | Cislunar Pointing, Navigation, & Timing (PNT) | The Department of the Air Force (DAF) is seeking information from industry for a Cislunar Space System (CSS) to inform a potential acquisition. The DAF is interested in procuring up to five space vehicles (SVs) as seed vehicles for a future proliferated cislunar constellation, with an initial launch capability goal of late calendar year 2029. The RFI requests information on rapid, low-risk, commercial or non-developmental solutions. The complete system includes the spacecraft bus, integration of a government-provided payload, SV integration and test, a ground segment for mission management and communications, a launch solution, system integration, and operations. Key technical objectives for each SV include a 3 to 5-year design life, a payload capacity up to 2,000 kg, payload power of 1-3 kW, 72-hour autonomous operations, and NSA Type-I encryption. The government intends to award up to five Firm Fixed Price (FFP) preliminary design study contracts based on the RFI responses. (Source: (U) CSS RFI_2026_10_30 Final.pdf.) | Shelby.Sommer@us.af.mil | Alessio Amodio Claire Tomlin Peter Therkelsen Jeremy Smith Daniel Gerber Dipak Ghosal Juan Pablo Carvallo Louis-Benoit Desroches Tiffany Connors Shawn Tornga Grant Cutler Steven Hofmeyr Alexandre Bayen Zachary Needell Rich Wolski Holger Mueller Han Lee Nicholas DeForest Minliang Yang Peter Tennessen Bruce Nordman Kristina S. H. LaCommare Revathi Jambunathan Evangelos Chaniotakis Gregory Lemieux Yuan Mei Simo Makiharju Kameshwar Poolla Houjun Tang Eric Masanet Stijn (Stan) Wielandt Thomas Hendrickson Chad Mitchell Anna Giannakou Bruce Mah Panagiotis Zarkos Mario Cromaz | Space Segment and Cislunar Operations | Ground Segment, C2, and Data Processing | Launch and Communication Segment Integration | System Engineering, Interfaces, and Program Management |
| Area of Interest: OSW Cost Assessment and Program Evaluation (CAPE) Modeling and Simulation |
Department of War/CAPE |
Combined Synopsis/Solicitation |
The Department of War's Cost Assessment and Program Evaluation (CAPE) seeks a commercial, turnkey, managed high-performance computing solution to replace its slow and inflexible legacy Modeling & Simu... |
2026-11-12T16:00:00 ET |
Campaign-level Modeling & SimulationHigh-Performance Computing (HPC) ArchitecturePhysics-based Simulation EnginesMachine Learning Surrogate ModelsNeural Network DevelopmentDesign of Experiments (DoE)Quantitative Sensitivity AnalysisTradespace Decision AnalysisScalable Data PlatformsData Pipeline IntegrationContainer Orchestration & ParallelizationArtificial Intelligence (AI) / LLMsNumerical Optimization Tools |
High-Throughput Simulation ExecutionMachine-Learned Surrogate EmulationInteractive Quantitative Analysis and VisualizationSecure and Scalable Managed Infrastructure |
BSACSAEESAESAETA |
AI Summary | Collaboration Graph |
Area of Interest: OSW Cost Assessment and Program Evaluation (CAPE) Modeling and Simulation | Department of War/CAPE | HQ003427AOI5 | BSA, CSA, EESA, ESA, ETA | Campaign-level Modeling & Simulation | High-Performance Computing (HPC) Architecture | Physics-based Simulation Engines | Machine Learning Surrogate Models | Neural Network Development | Design of Experiments (DoE) | Quantitative Sensitivity Analysis | Tradespace Decision Analysis | Scalable Data Platforms | Data Pipeline Integration | Container Orchestration & Parallelization | Artificial Intelligence (AI) / LLMs | Numerical Optimization Tools | The Department of War's Cost Assessment and Program Evaluation (CAPE) seeks a commercial, turnkey, managed high-performance computing solution to replace its slow and inflexible legacy Modeling & Simulation (M&S) infrastructure. The objective is to dramatically accelerate analytical support for defense investment decisions by establishing a next-generation, three-layer architecture: a high-performance simulation execution layer, a machine-learned surrogate emulation layer, and a self-service quantitative analysis layer. Key technical requirements include the capacity to run up to 150,000 simulations in under two weeks (a task currently requiring one year), operation at Impact Level 6 (IL6), support for a diverse software ecosystem including Python, R, and AI/ML tools, and network throughput of 100 Mbps-1 Gbps. The commercial provider will be responsible for the underlying platform and infrastructure IT operations, while the government will maintain full administrative control over the analytical environment. (Source: P07 Phase I HQ003427AOI05 OSW CAPE Modeling and Simulation.docx.) | danny.j.uhr.civ@mail.mil | Seth Carbon Stefan M. Wild Wei Zhang Xiaoya Chong Eric Chagnon Dipak Ghosal Cory Snavely Matthew Zahr Christoph Kirst Milica Grahovac Erich Strohmaier Devarshi Ghoshal Tiffany Connors Zixi Hu Scott Baden Sarah Poon Talita Perciano Costa Leite Kunhwi Kim Angelos Ioannou Suren Byna Zhe Bai Rich Wolski Zachary Needell Rajshree Deshmukh Cees De Laat Jingjing Zhang Likun Zhang Arpit Gupta Mah Kadidia Konate Stefan Lasiewski Gregory Lemieux Chris Harris Nicholas Tyler Houjun Tang Eric Masanet Annette Greiner Reijo Keskitalo Gazi Mahmud Thomas Hendrickson Anna Giannakou Ling Jin Abdelilah Essiari Oluwamayowa Amusat | High-Throughput Simulation Execution | Machine-Learned Surrogate Emulation | Interactive Quantitative Analysis and Visualization | Secure and Scalable Managed Infrastructure |
| Unison |
DARPA/STO |
Solicitation |
The Defense Advanced Research Projects Agency (DARPA) Unison program seeks to develop and evaluate collaborative autonomy approaches where teams of autonomous agents (tens to hundreds) jointly adapt t... |
2026-12-04T17:00:00 ET |
Multi-Agent Collaborative AutonomyJoint Autonomy-Communications Co-adaptationDecentralized Decision Processes (Dec-POMDP)Faster-Than-Real-Time (FTRT) SimulationConstrained Communications ModelingMulti-Agent Reinforcement LearningSemantic and Pragmatic CommunicationsHierarchical and Federated LearningState Abstraction and RepresentationDynamic Coordination GraphsAdaptive Policy ExecutionSensor Data ModelingAdaptive Counter-AutonomyPNT-Denied Navigation |
Joint Co-adaptation of Autonomy and Communications (TA-1)Scalable Modeling and Simulation for Autonomous Systems (TA-2) |
BSACSAEESAETA |
AI Summary | Collaboration Graph |
Unison | DARPA/STO | DARPA-PS-27-06 | BSA, CSA, EESA, ETA | Multi-Agent Collaborative Autonomy | Joint Autonomy-Communications Co-adaptation | Decentralized Decision Processes (Dec-POMDP) | Faster-Than-Real-Time (FTRT) Simulation | Constrained Communications Modeling | Multi-Agent Reinforcement Learning | Semantic and Pragmatic Communications | Hierarchical and Federated Learning | State Abstraction and Representation | Dynamic Coordination Graphs | Adaptive Policy Execution | Sensor Data Modeling | Adaptive Counter-Autonomy | PNT-Denied Navigation | The Defense Advanced Research Projects Agency (DARPA) Unison program seeks to develop and evaluate collaborative autonomy approaches where teams of autonomous agents (tens to hundreds) jointly adapt their decision-making (actions) and communication strategies during mission execution. The core hypothesis is that unifying action and communication planning in real-time will improve mission effectiveness, scalability, and resilience in dynamic, uncertain environments with constrained or degraded communications. The program is divided into two interdependent Technical Areas (TAs). TA-1, Joint Co-Adaptation, focuses on creating the autonomy software prototypes that dynamically balance computational tractability, communications efficiency, and operational resilience, with a key objective of reducing communication dependence by up to 50,000x compared to a baseline. TA-2, Modeling and Simulation Environment, will develop a common Faster-Than-Real-Time (FTRT, ≥100x) simulation testbed to train, integrate, and evaluate the TA-1 solutions across various mission scenarios. The program will use a modified version of the DARPA Contested Operations in Denied Environments (CODE) software as a government-furnished benchmark for performance comparison and testbed validation. (Source: DARPA-PS-27-06.pdf.) | Unison@darpa.mil | Seth Carbon Claire Tomlin Wei Zhang Dipak Ghosal Erich Strohmaier Devarshi Ghoshal Zixi Hu Prabal Dutta Talita Perciano Costa Leite Alexandre Bayen Christian Schmid Myles Collins Angelos Ioannou Suren Byna Zachary Needell Koushik Sen Cristian Poliziani Satyarth Praveen Arpit Gupta Gregory Lemieux Evangelos Chaniotakis Kameshwar Poolla Houjun Tang Michael Sohn Zhi Jackie Yao Kaiyu Sun Bruce Mah Daniel Arnold | Joint Co-adaptation of Autonomy and Communications (TA-1) | Scalable Modeling and Simulation for Autonomous Systems (TA-2) |
| Grid Supply Chain Alternatives to Lead Energy Dominance (SCALED) |
DOE/Office of Electricity |
Cooperative Agreement |
The Department of Energy's (DOE) Office of Electricity (OE) has announced the 'Grid Supply Chain Alternatives to Lead Energy Dominance (SCALED)' funding opportunity (DE-FOA-0003641), making approximat... |
2027-02-08T00:00:00 ET |
Grid Equipment RefurbishmentComponent Reclamation and ReuseCritical Materials RecoveryCircular Economy for Grid ComponentsAlternative Materials IntegrationAdvanced Subcomponent ManufacturingElectrical Steel TechnologiesAdvanced Conductor MaterialsHigh-Voltage Component DesignBattery Storage Component ManufacturingManufacturing Process Scale-UpComponent Testing and ValidationPower Transformer Technologies |
Refurbishment and Reuse of Critical Grid EquipmentAlternative Materials and Subcomponents for Grid Equipment |
BSAESAETAPSA |
AI Summary | Collaboration Graph |
Grid Supply Chain Alternatives to Lead Energy Dominance (SCALED) | DOE/Office of Electricity | DE-FOA-0003641 | BSA, ESA, ETA, PSA | Grid Equipment Refurbishment | Component Reclamation and Reuse | Critical Materials Recovery | Circular Economy for Grid Components | Alternative Materials Integration | Advanced Subcomponent Manufacturing | Electrical Steel Technologies | Advanced Conductor Materials | High-Voltage Component Design | Battery Storage Component Manufacturing | Manufacturing Process Scale-Up | Component Testing and Validation | Power Transformer Technologies | The Department of Energy's (DOE) Office of Electricity (OE) has announced the 'Grid Supply Chain Alternatives to Lead Energy Dominance (SCALED)' funding opportunity (DE-FOA-0003641), making approximately $237 million available to enhance the domestic supply chain for critical grid components. This initiative aims to reduce reliance on foreign sources, withstand supply chain shocks, and strengthen U.S. energy infrastructure. The program is divided into two topic areas, both requiring a minimum 50% non-federal cost share. Topic Area 1, 'Refurbishment and Reuse of Critical Grid Equipment' ($50M), will fund projects (TRL 8+) to reclaim, repair, and recertify retired or damaged grid equipment to quickly return it to service. Topic Area 2, 'Alternative Materials and Subcomponents' ($187M), will support the adoption and large-scale integration of domestically sourced alternative materials and subcomponents (TRL 6+) into U.S. manufacturing processes. Topic Area 2 follows a two-phase structure (planning and execution) with a Go/No-Go decision point to de-risk and scale up domestic production. (Source: FundOpp_DE-FOA-0003641.pdf.) | DE-FOA-0003641@netl.doe.gov | Prakash Rao Didier Perrodin Minok Park Margaret Busse Nihan Karali Chang Dou Alexandre Moreira da Silva Carl Blumstein Alex Newkirk Zahid Hussain Kenny Higa Jiyun Kang Han Lee Miguel Heleno Kristin Persson Baishakhi Bose Ravi Prasher Reed Teyber Umed Paliwal Eric Masanet Nawa Raj Baral Thomas Hendrickson Qin Yu Daniel Arnold | Refurbishment and Reuse of Critical Grid Equipment | Alternative Materials and Subcomponents for Grid Equipment |
| Request for Information (RFI): Verification and Compliance Checking for Natural-Language Network Requirements (FastVacc) |
DARPA/IPTO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) Information Processing Techniques Office (IPTO) has issued a Request for Information (RFI) for the Verification and Compliance Checking for Natura... |
2026-11-13T17:00:00 ET |
Natural Language UnderstandingNetwork Formal VerificationAutomated Reasoning SystemsSecurity Compliance CheckingNetwork Configuration AnalysisLarge Language Model ApplicationsDomain-Specific Language (DSL) DesignFormal SemanticsDeductive SystemsSymbolic EvaluationAbstract InterpretationRequirements Consistency AnalysisInductive ReasoningFormalized Proof Libraries |
Natural Language Understanding for Network RequirementsAutomated Reasoning on Abstract Network PoliciesReal-Time, Verifiable Compliance Evaluation |
BSACSAEESAESAETA |
AI Summary | Collaboration Graph |
Request for Information (RFI): Verification and Compliance Checking for Natural-Language Network Requirements (FastVacc) | DARPA/IPTO | DARPA-SN-27-13 | BSA, CSA, EESA, ESA, ETA | Natural Language Understanding | Network Formal Verification | Automated Reasoning Systems | Security Compliance Checking | Network Configuration Analysis | Large Language Model Applications | Domain-Specific Language (DSL) Design | Formal Semantics | Deductive Systems | Symbolic Evaluation | Abstract Interpretation | Requirements Consistency Analysis | Inductive Reasoning | Formalized Proof Libraries | The Defense Advanced Research Projects Agency (DARPA) Information Processing Techniques Office (IPTO) has issued a Request for Information (RFI) for the Verification and Compliance Checking for Natural-Language Network Requirements (FastVacc) program. The program seeks to dramatically reduce the time and cost (by 2-3 orders of magnitude) of verifying that network configurations comply with security requirements written in natural language. DARPA envisions a capability that accepts two inputs: a natural language requirements document and a concrete network configuration. The system would first perform an offline analysis of the requirements to identify and resolve inconsistencies, redundancies, and incompleteness. It would then perform a near real-time check to verify if the network's configuration satisfies the refined requirements. The RFI identifies three core challenges: Natural Language Understanding, Reasoning (about abstract requirements), and Evaluation (against concrete configurations). DARPA is requesting information on potential approaches, including the adequacy of Large Language Models (LLMs), the need for an intermediate formal system or Domain-Specific Language (DSL), metrics for success, and existing relevant technologies. (Source: DARPA-SN-27-13.pdf.) | FastVacc@darpa.mil | Kevin Cruse Dale Carder Chris Mungall Eric Chagnon Adam Slagell Harry Caufield Xiaoye Sherry Li Katherine Rasmussen Michael Mahoney Vern Paxson Talita Perciano Costa Leite Steven Hofmeyr Koushik Sen Alexandre Bayen Angelos Ioannou Zachary Needell Rafael Zamora-Resendiz Cees De Laat Arpit Gupta Gregory Lemieux Gazi Mahmud Matthew Henderson Abdelilah Essiari Scott Beamer | Natural Language Understanding for Network Requirements | Automated Reasoning on Abstract Network Policies | Real-Time, Verifiable Compliance Evaluation |
| AFRL/AFOSR-Taiwan NSTC Frontiers in Materials and Nanostructures: AI-Driven Discovery, Quantum Geometry, and Energy-Efficient Information Technologies 2027-2030 |
AFRL/AFOSR |
Grant |
This Notice of Funding Opportunity (NOFO) from the Air Force Office of Scientific Research (AFOSR) and Taiwan’s National Science and Technology Council (NSTC) announces a three-year collaborative rese... |
2027-02-19T00:00:00 ET |
AI-Driven Materials DiscoveryPhysics-Informed AIQuantum-Level ModelingPredictive Materials DesignAI-Enabled Multiscale ModelingEnergy-Efficient ElectronicsNanoscale Photonic StructuresQuantum Information TechnologiesLow-Dimensional HeterostructuresQuantum Geometry in SolidsTopological MaterialsNonlinear Optical ResponsesMany-Body Systems Theory |
AI-Driven Materials DiscoveryMaterials for Energy-Efficient Information TechnologiesQuantum Geometry in Solids |
BSACSAEESAESAETAPSA· Berry Curvature· Materials Synthesis |
AI Summary | Collaboration Graph |
AFRL/AFOSR-Taiwan NSTC Frontiers in Materials and Nanostructures: AI-Driven Discovery, Quantum Geometry, and Energy-Efficient Information Technologies 2027-2030 | AFRL/AFOSR | FA955027S0002 | BSA, CSA, EESA, ESA, ETA, PSA, · Berry Curvature, · Materials Synthesis | AI-Driven Materials Discovery | Physics-Informed AI | Quantum-Level Modeling | Predictive Materials Design | AI-Enabled Multiscale Modeling | Energy-Efficient Electronics | Nanoscale Photonic Structures | Quantum Information Technologies | Low-Dimensional Heterostructures | Quantum Geometry in Solids | Topological Materials | Nonlinear Optical Responses | Many-Body Systems Theory | This Notice of Funding Opportunity (NOFO) from the Air Force Office of Scientific Research (AFOSR) and Taiwan’s National Science and Technology Council (NSTC) announces a three-year collaborative research program titled "Frontiers in Materials and Nanostructures: AI-Driven Discovery, Quantum Geometry, and Energy-Efficient Information Technologies." The program funds joint basic research projects between U.S. and Taiwanese investigators. Proposals must address one of three core areas: 1) AI-driven materials discovery integrating machine learning with physics-based modeling and experiments; 2) Materials and nanostructures for energy-efficient electronic, photonic, and quantum information technologies; or 3) The study of quantum geometry in solids, including advanced experimental and theoretical methods. Applications require a team of one U.S. and one Taiwanese PI who must first submit a joint pre-proposal. If selected, full proposals are submitted to their respective agencies. Selected U.S. PIs are eligible for up to $150,000 per year for three years, with projects starting around October 2027. | alexander.kamrud.1@us.af.mil | Francesco Ricci Andy Nonaka Kevin Cruse Erhan Saglamyurek Mohammad Kaazem Pur Mofrad Marc Vila Tusell Daniel Gerber Armand Alivisatos Jeremy Munday Ben Erichson Ran Cheng Dunghai Lee Yizhi Shen Lane Martin Joelle Frechette Yasunori Nomura Zhe Bai Michael Lindsey Kin Yu Kristin Persson Ehud Altman Gregory Lemieux Mengjie Yu Michael Crommie Kameshwar Poolla Tanny Andrea Chavez Esparza Feng Wang Tara Mishra Michael Zaletel Jack Deslippe Anthony Ciavarella Piotr Zarzycki | AI-Driven Materials Discovery | Materials for Energy-Efficient Information Technologies | Quantum Geometry in Solids |
| Electric Modernization Upgrade |
Naval Air Warfare Center/Weapons Division |
Sources Sought |
[Analyzed from API Fallback] The Naval Air Warfare Center Weapons Division (NAWCWD) seeks solutions to mature a modular, COTS-based capability for the MH-60R Seahawk helicopter. While a baseline syste... |
2026-12-01T16:00:00 ET |
Avionics Systems IntegrationCOTS Component IntegrationCustom Hardware DesignManufacturing Process EngineeringProduction Process DesignSystems Sustainment EngineeringSoftware Deployment ProcessesConfiguration ManagementRuggedized Packaging DesignHuman Factors EngineeringMechanical Chassis DesignSystem Installation OptimizationSystem Inspection & TestShipboard Equipment Integration |
Integrated Process Design and SustainmentRuggedized Packaging and Global LogisticsHuman Factors and Mechanical Optimization |
BSACSAEESAETAPSA |
AI Summary | Collaboration Graph |
Electric Modernization Upgrade | Naval Air Warfare Center/Weapons Division | BAA-N6893625S0001-0001 | BSA, CSA, EESA, ETA, PSA | Avionics Systems Integration | COTS Component Integration | Custom Hardware Design | Manufacturing Process Engineering | Production Process Design | Systems Sustainment Engineering | Software Deployment Processes | Configuration Management | Ruggedized Packaging Design | Human Factors Engineering | Mechanical Chassis Design | System Installation Optimization | System Inspection & Test | Shipboard Equipment Integration | [Analyzed from API Fallback] The Naval Air Warfare Center Weapons Division (NAWCWD) seeks solutions to mature a modular, COTS-based capability for the MH-60R Seahawk helicopter. While a baseline system exists, it lacks standardized and sustainable processes for production, deployment, and sustainment, making the current ad-hoc model inefficient and costly. The project requires the development of lightweight, repeatable processes for the entire system lifecycle that can be executed by a small team. Key requirements also include designing a rugged, reusable packaging plan compatible with global air transport and optimizing the hardware's human factors (chassis, mounts) to simplify installation and removal in shipboard and austere environments. The overall goal is to improve operational availability and reduce lifecycle costs ahead of a planned Q1 FY2028 initial operational capability. | Jennifer A. Felton | Seth Carbon Maxime Bergeret Kelly Kissock Sukhpreet Kaur Grant Cutler Jiyun Kang Adrian Spucces Koushik Sen Han Lee Nicholas DeForest Cristian Poliziani Peter Tennessen Abhi Rajagopala Nicholas Wenner Laura Garcia Fajardo Arnaud Allézy Anjana Saravanan Gregory Lemieux Simo Makiharju Stefan Lasiewski Merlin J Lopez Eric Masanet Thomas Hendrickson Luisa Gonzalez | Integrated Process Design and Sustainment | Ruggedized Packaging and Global Logistics | Human Factors and Mechanical Optimization |
| Broad Other Transaction Authority Announcement (BOTAA) for Military Engineering and Engineered Resilient Systems |
U.S. Army/ERDC |
Special Notice |
[Analyzed from API Fallback] The U.S. Army Engineer Research and Development Center (ERDC) has issued a Broad Other Transaction Authority Announcement (BOTAA) seeking prototype concept white papers fo... |
2028-10-30T18:00:00 ET |
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N/A |
AI Summary | Collaboration Graph |
Broad Other Transaction Authority Announcement (BOTAA) for Military Engineering and Engineered Resilient Systems | U.S. Army/ERDC | W912HZ27BOTAA | N/A | | [Analyzed from API Fallback] The U.S. Army Engineer Research and Development Center (ERDC) has issued a Broad Other Transaction Authority Announcement (BOTAA) seeking prototype concept white papers for research in Military Engineering (ME) and Engineered Resilient Systems (ERS). This is a continuously open and competitive announcement where offerors can submit white papers against any focus area. Submissions will be evaluated individually, and awards are contingent upon the availability of funds. Interested parties should visit the ERDCWERX website for further information and submission guidelines. | N/A | Seth Carbon Maxime Bergeret Kelly Kissock Sukhpreet Kaur Grant Cutler Adrian Spucces Han Lee Cristian Poliziani Abhi Rajagopala Peter Tennessen Nicholas Wenner Laura Garcia Fajardo Arnaud Allézy Anjana Saravanan Gregory Lemieux Stefan Lasiewski Merlin J Lopez Eric Masanet Thomas Hendrickson |
| Future Announcement: Quantum Computing – Applications Workshops (QC-AW) |
DARPA/MXO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) has issued a Special Notice (DARPA-SN-27-14) to announce its intent to host a series of Quantum Computing – Applications Workshops (QC-AW). These ... |
2026-12-30T23:59:00 ET |
Utility-Scale Quantum ComputersQuantum Application BenchmarksQuantum Algorithm DevelopmentCommercial Application WorkloadsQuantum Advantage AnalysisQuantum Computation PricingOptimized Circuit DesignsQuantum Hardware RoadmappingQuantum Resource EstimationQuantum Information ScienceScientific Computational Problems |
High-Value Quantum Application and Use Case IdentificationCommercial Quantum Benchmarking and Value AssessmentAlgorithm and Hardware Co-DevelopmentInnovative Economic and Funding Models for Quantum Technology |
CSAEESAETALD |
AI Summary | Collaboration Graph |
Future Announcement: Quantum Computing – Applications Workshops (QC-AW) | DARPA/MXO | DARPA-SN-27-14 | CSA, EESA, ETA, LD | Utility-Scale Quantum Computers | Quantum Application Benchmarks | Quantum Algorithm Development | Commercial Application Workloads | Quantum Advantage Analysis | Quantum Computation Pricing | Optimized Circuit Designs | Quantum Hardware Roadmapping | Quantum Resource Estimation | Quantum Information Science | Scientific Computational Problems | The Defense Advanced Research Projects Agency (DARPA) has issued a Special Notice (DARPA-SN-27-14) to announce its intent to host a series of Quantum Computing – Applications Workshops (QC-AW). These workshops, beginning no later than January 2027, will aim to determine the commercial impact and identify high-value use cases for future utility-scale quantum computers, which DARPA anticipates will be realized by 2033. The key goals are to develop new, industrially relevant application benchmarks, define a path for pricing quantum computations, and bring together end-users, quantum algorithm developers, hardware experts, and financial stakeholders to accelerate quantum advantage and strengthen national defense. A formal Request for Information (RFI) will precede the workshops. | Micah Stoutimore | Stefan M. Wild Neil Mehta Akash Dixit Erhan Saglamyurek Greg Leventis Xiaoye Sherry Li Nikit Abhyankar Jason Lowe-Power Alex Newkirk Siyuan Niu Marina Radulaski Oscar Antepara Shawn Tornga Anastasiia Butko Hartmut Haeffner Nica Campbell Myles Collins Angelos Ioannou Unique Karki Costin Iancu Drew Paine Pengcheng Xie Sean Murphy Eric O'Shaughnessy Meriam Gay Bautista-Jurney Gregory Lemieux Marcos Lopez de Prado Aaron Lattanzi Katherine Klymko Xu Liu Eric Masanet Reshma Singh Hongyou Lu Ravi Naik Hannah Cohoon Thomas Hendrickson Anna Giannakou Anthony Ciavarella Scott Beamer | High-Value Quantum Application and Use Case Identification | Commercial Quantum Benchmarking and Value Assessment | Algorithm and Hardware Co-Development | Innovative Economic and Funding Models for Quantum Technology |
| Space Electronic Systems Prototype Development |
NRL/SED |
Presolicitation |
[Analyzed from API Fallback] The U.S. Naval Research Laboratory (NRL) has issued a presolicitation notice for the upcoming "Space Electronic Systems Prototype Development (SESPD) Phase III" contract (... |
2026-11-06T16:00:00 ET |
Space Systems DevelopmentAerospace Systems DevelopmentSpacecraft Electronics DesignExperimental Payload DevelopmentSpace Mission SystemsSystems EngineeringSystem Concept FormulationPrototype DevelopmentSystem Integration and TestingOperational System DemonstrationLaunch SupportMission Operations SupportMission Data Analysis |
Space Systems Engineering and DesignPrototype Development of Space Electronic SystemsSystem Integration, Testing, and Mission Operations |
BSACSAEESAESAETAOperationsPSA |
AI Summary | Collaboration Graph |
Space Electronic Systems Prototype Development | NRL/SED | N00173-27-R-0001 | BSA, CSA, EESA, ESA, ETA, Operations, PSA | Space Systems Development | Aerospace Systems Development | Spacecraft Electronics Design | Experimental Payload Development | Space Mission Systems | Systems Engineering | System Concept Formulation | Prototype Development | System Integration and Testing | Operational System Demonstration | Launch Support | Mission Operations Support | Mission Data Analysis | [Analyzed from API Fallback] The U.S. Naval Research Laboratory (NRL) has issued a presolicitation notice for the upcoming "Space Electronic Systems Prototype Development (SESPD) Phase III" contract (RFP N00173-27-R-0001). The purpose is to acquire research and development support for NRL's Spacecraft Engineering Division, covering the entire lifecycle of space and aerospace systems, including spacecraft electronics and experimental payloads. The planned contract is a five-year Indefinite-Delivery, Indefinite-Quantity (IDIQ) vehicle to be awarded via full and open competition, with an estimated total level of effort of 531,280 labor hours. The NAICS code is 541715 (Research and Development in the Physical, Engineering, and Life Sciences) and the PSC is AR13 (Space R&D Services). | graham.d.irby.civ@us.navy.mil | Prakash Rao Seth Carbon Helen Cademartori Jacob Hilzinger Sukhpreet Kaur Zixi Hu Mark Delucchi Patrick Huck Alexandre Bayen Koushik Sen Zachary Needell Han Lee Drew Paine Peter Tennessen Bruce Nordman Aikaterini Papadopoulou Yuan Mei Gregory Lemieux Jingjing Zhang Stefan Lasiewski Umed Paliwal Merlin J Lopez Eric Masanet Reijo Keskitalo Hannah Cohoon Philippe Butler Luisa Gonzalez | Space Systems Engineering and Design | Prototype Development of Space Electronic Systems | System Integration, Testing, and Mission Operations |
| Traumatic Brain Injury and Psychological Health Research Program Public Request for Information |
Congressionally Directed Medical Research Programs (CDMRP)/Traumatic Brain Injury and Psychological Health Research Program (TBIPHRP) |
Sources Sought |
The Congressionally Directed Medical Research Programs (CDMRP) has issued a Request for Information (RFI) to gather stakeholder feedback for strategic planning of the Fiscal Year 2027 (FY27) Traumatic... |
2026-12-11T16:00:00 ET |
Epidemiological & Etiological ModelingPredictive Health Trajectory ModelingRisk Prediction AlgorithmsGenetic and Endophenotype AnalysisCumulative Exposure Impact AnalysisBiomarker Development and ValidationMulti-Sensor Data FusionPharmacologic and Non-Pharmacologic InterventionsPsychological Resilience EnhancementPersonalized Preventive InterventionsMechanism-Based TherapeuticsCognitive and Functional RestorationRapid-Acting InterventionsMobile and Digital Health TechnologiesImplementation Science Research |
Understanding TBI and Psychological Health Etiology and TrajectoriesPrevention, Assessment, and Diagnostics for TBI and Psychological HealthNovel Therapeutic Interventions and Treatment Strategies |
BSACSAEESAETALDOperationsPSA· Diagnostic Development |
AI Summary | Collaboration Graph |
Traumatic Brain Injury and Psychological Health Research Program Public Request for Information | Congressionally Directed Medical Research Programs (CDMRP)/Traumatic Brain Injury and Psychological Health Research Program (TBIPHRP) | HT9427RFI2027TBIPHRP | BSA, CSA, EESA, ETA, LD, Operations, PSA, · Diagnostic Development | Epidemiological & Etiological Modeling | Predictive Health Trajectory Modeling | Risk Prediction Algorithms | Genetic and Endophenotype Analysis | Cumulative Exposure Impact Analysis | Biomarker Development and Validation | Multi-Sensor Data Fusion | Pharmacologic and Non-Pharmacologic Interventions | Psychological Resilience Enhancement | Personalized Preventive Interventions | Mechanism-Based Therapeutics | Cognitive and Functional Restoration | Rapid-Acting Interventions | Mobile and Digital Health Technologies | Implementation Science Research | The Congressionally Directed Medical Research Programs (CDMRP) has issued a Request for Information (RFI) to gather stakeholder feedback for strategic planning of the Fiscal Year 2027 (FY27) Traumatic Brain Injury and Psychological Health Research Program (TBIPHRP). The purpose is to inform future research focus areas and funding opportunities. This RFI is not a solicitation for proposals but a survey seeking input from a broad audience, including academia, industry, healthcare providers, and the public. The survey asks respondents to rate the urgency of funding specific research gaps categorized under three strategic goals: 'Understand' (etiology, predictive models), 'Prevent and Assess' (biomarkers, interventions, resilience), and 'Treat' (therapeutics, point-of-injury protocols, implementation science). It also seeks opinions on which stage of the research pipeline most needs funding and what critical research topics are currently overlooked. | Patrick M. Younkins | Seth Carbon Jennifer Rosenbluth Harry Caufield Dipak Ghosal Jovan Tadic Steffen Uhlemann Momoe Kato Zixi Hu Morgan Price Thomas McKone Alexandre Bayen Fengchen Liu Michelle O'Malley Drew Paine Rafael Zamora-Resendiz Eleanor Zizka Satyarth Praveen Georgios Pavlopoulos Aris Polyzos Alan Meier Ehud Isacoff Mark D. Risser Stephanie Holm Karthik Shekhar Kevin Fan Jing Ke Victor Negut Anna Giannakou Justin Reese Jian-Hua Mao | Understanding TBI and Psychological Health Etiology and Trajectories | Prevention, Assessment, and Diagnostics for TBI and Psychological Health | Novel Therapeutic Interventions and Treatment Strategies |
| A-- TREDS III supporting DOE, NNSA and NFO |
NNSA/NFO |
Special Notice |
[Analyzed from API Fallback] This contract, titled TREDS III, is for providing Technical Research, Engineering, and Development Services to the Department of Energy (DOE) National Nuclear Security Adm... |
2026-11-12T18:00:00 ET |
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N/A |
AI Summary | Collaboration Graph |
A-- TREDS III supporting DOE, NNSA and NFO | NNSA/NFO | 89233127RNA000340 | N/A | | [Analyzed from API Fallback] This contract, titled TREDS III, is for providing Technical Research, Engineering, and Development Services to the Department of Energy (DOE) National Nuclear Security Administration (NNSA), specifically supporting the Nevada Field Office (NFO). | N/A | Seth Carbon Jennifer Rosenbluth Harry Caufield Dipak Ghosal Steffen Uhlemann Momoe Kato Zixi Hu Morgan Price Alexandre Bayen Fengchen Liu Michelle O'Malley Drew Paine Rafael Zamora-Resendiz Eleanor Zizka Satyarth Praveen Georgios Pavlopoulos Aris Polyzos Alan Meier Ehud Isacoff Mark D. Risser Stephanie Holm Karthik Shekhar Kevin Fan Victor Negut Anna Giannakou Justin Reese Jian-Hua Mao |
| RFI Alzheimer’s Research Program (AZRP) Public |
Department of War/CDMRP |
Sources Sought |
The Congressionally Directed Medical Research Programs (CDMRP) has issued a Request for Information (RFI) in the form of a stakeholder survey to inform the strategic planning for the Fiscal Year 2027 ... |
2026-12-04T16:00:00 ET |
AD/ADRD Risk Factor IdentificationPrecision Prevention StrategiesDifferential Risk Pathway AnalysisMilitary Exposure Risk AnalysisBlood-Based Biomarker ValidationNeuroimaging Biomarker PanelsCognitive Impairment EtiologyDigital Biomarker DevelopmentComputational Disease ModelingDisease Progression ForecastingScalable Biomarker ValidationTBI vs AD/ADRD DifferentiationBiological Signature DevelopmentPrognostic Marker DevelopmentCognitive Decline Prediction Models |
Risk Factor Analysis and Prevention StrategiesEarly and Accurate Diagnosis and PrognosisQuality of Life and Caregiver Support |
BSACSAEESAETALD· Clinical Trial Design |
AI Summary | Collaboration Graph |
RFI Alzheimer’s Research Program (AZRP) Public | Department of War/CDMRP | HT9427RFI2027AZRP | BSA, CSA, EESA, ETA, LD, · Clinical Trial Design | AD/ADRD Risk Factor Identification | Precision Prevention Strategies | Differential Risk Pathway Analysis | Military Exposure Risk Analysis | Blood-Based Biomarker Validation | Neuroimaging Biomarker Panels | Cognitive Impairment Etiology | Digital Biomarker Development | Computational Disease Modeling | Disease Progression Forecasting | Scalable Biomarker Validation | TBI vs AD/ADRD Differentiation | Biological Signature Development | Prognostic Marker Development | Cognitive Decline Prediction Models | The Congressionally Directed Medical Research Programs (CDMRP) has issued a Request for Information (RFI) in the form of a stakeholder survey to inform the strategic planning for the Fiscal Year 2027 (FY27) Alzheimer’s Research Program (AZRP). The RFI seeks to identify research gaps and funding priorities from a broad audience, including researchers, clinicians, patients, and federal partners. The survey is structured around three core strategic goals: 1) Understanding risk factors to reduce and prevent Alzheimer's Disease and related dementias (AD/ADRD), with a focus on military-relevant exposures and veteran cohorts; 2) Improving early and accurate diagnosis and prognosis through the development of biomarkers (digital, blood-based, neuroimaging) and methods to distinguish AD/ADRD from chronic traumatic brain injury (TBI); and 3) Improving the quality of life for individuals with AD/ADRD and their caregivers through non-pharmacological and behavioral interventions. This RFI is for planning purposes only and is not a solicitation for proposals. | Jared D. Acre | Seth Carbon Raymond Lee Daniel Rokhsar Jinyi Qi Spencer Dutton Jennifer Rosenbluth Harry Caufield Meghana Faltane Zixi Hu Fernando Perez Christopher Petzold Talita Perciano Costa Leite Steven Hofmeyr Thomas McKone Amy Kronenberg Jeremy Schmutz Drew Paine C. Anna Spurlock Rafael Zamora-Resendiz Li-Wen (Audrey) Wang Eleanor Zizka Georgios Pavlopoulos Monte Goode Stephanie Holm Karthik Shekhar Kevin Fan Jing Ke Sharon Greenblum Josh North Hannah Cohoon Anna Giannakou Harshini Mukundan Donghun Kim Jian-Hua Mao | Risk Factor Analysis and Prevention Strategies | Early and Accurate Diagnosis and Prognosis | Quality of Life and Caregiver Support |
| FLOW Market Survey |
Office of the Director of National Intelligence/OESET |
Special Notice |
[Analyzed from API Fallback] The Office of Economic Security and Emerging Technologies (OESET) within the Office of the Director of National Intelligence is conducting a market survey to assess indust... |
2026-11-16T17:00:00 ET |
Data Platform DevelopmentCommercial Data IntegrationEconomic Security AnalyticsFinancial Intelligence AnalysisSanctions Compliance AnalyticsSupply Chain AnalysisForeign Investment AnalysisData FusionEntity ResolutionGraph and Network AnalysisCloud Data PlatformsData Visualization Tools |
Economic and Financial Security AnalyticsSupply Chain AnalyticsSecure Multi-Agency Data Platform |
BSACSAETAPSA |
AI Summary | Collaboration Graph |
FLOW Market Survey | Office of the Director of National Intelligence/OESET | 91f630de254c48469d3fac2a9e7c925c | BSA, CSA, ETA, PSA | Data Platform Development | Commercial Data Integration | Economic Security Analytics | Financial Intelligence Analysis | Sanctions Compliance Analytics | Supply Chain Analysis | Foreign Investment Analysis | Data Fusion | Entity Resolution | Graph and Network Analysis | Cloud Data Platforms | Data Visualization Tools | [Analyzed from API Fallback] The Office of Economic Security and Emerging Technologies (OESET) within the Office of the Director of National Intelligence is conducting a market survey to assess industry capabilities for providing a data platform. This platform is intended to support U.S. Government agencies in their use of commercial data for missions involving economic security, financial intelligence, sanctions, supply chain analysis, and foreign investment. This survey is for acquisition planning and market research purposes only and does not constitute a formal solicitation or guarantee a future contract award. Responses are due by 5:00 PM Eastern on November 16, 2026. | Elias V. | Seth Carbon Wei Zhang Cory Snavely Devarshi Ghoshal Michael Mahoney Tiffany Connors Steven Hofmeyr Nica Campbell Rajshree Deshmukh Suren Byna Marta Gonzalez Rich Wolski Alan Sanstad Cristian Poliziani C. Anna Spurlock Eric O'Shaughnessy Cees De Laat Mark Bandstra Marcos Lopez de Prado Annette Greiner Gazi Mahmud Thomas Hendrickson Kaiyu Sun Jeetika Malik Abdelilah Essiari | Economic and Financial Security Analytics | Supply Chain Analytics | Secure Multi-Agency Data Platform |
| Solid-State Energy Conversion from Heat to Electricity Request for Information (RFI) |
DARPA/DSO |
Sources Sought |
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) has issued a Request for Information (RFI) to gather insights on the current state, technological limits, and potent... |
2026-11-23T16:00:00 ET |
Solid-State Energy ConversionThermoelectric GenerationThermionic Energy ConversionThermophotovoltaic (TPV) ConversionAlkali Metal Thermal-to-Electric (AMTEC) ConvertersLow Work Function MaterialsBand Structure EngineeringNanomaterials EngineeringMicrofabrication TechniquesHigh-Temperature Structural CeramicsNanostructured CoatingsWide-Bandgap SemiconductorsSub-Micron Thermal Radiative EngineeringThermodynamic Efficiency AnalysisHybrid Conversion Architectures |
State-of-the-Art Performance CharacterizationOvercoming Fundamental Technical BarriersApplication and Use-Case Development |
CSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Solid-State Energy Conversion from Heat to Electricity Request for Information (RFI) | DARPA/DSO | DARPA-SS-27-01 | CSA, EESA, ESA, ETA, PSA | Solid-State Energy Conversion | Thermoelectric Generation | Thermionic Energy Conversion | Thermophotovoltaic (TPV) Conversion | Alkali Metal Thermal-to-Electric (AMTEC) Converters | Low Work Function Materials | Band Structure Engineering | Nanomaterials Engineering | Microfabrication Techniques | High-Temperature Structural Ceramics | Nanostructured Coatings | Wide-Bandgap Semiconductors | Sub-Micron Thermal Radiative Engineering | Thermodynamic Efficiency Analysis | Hybrid Conversion Architectures | The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) has issued a Request for Information (RFI) to gather insights on the current state, technological limits, and potential applications of solid-state direct thermal-to-electric energy conversion technologies. These technologies, which include thermoelectric, thermionic, thermophotovoltaic, and AMTEC converters, convert heat directly to electricity without mechanical moving parts. DARPA is motivated by recent advancements in materials science, microfabrication, and nanostructuring that may overcome historical efficiency limitations. The RFI seeks information in three key areas: 1) Current capabilities of existing systems, including operating parameters, efficiency, and SWaP; 2) The potential for performance improvements and evidence for overcoming current technical barriers; and 3) High-impact applications that would benefit from these improved technologies. The information collected will be used to identify research opportunities and inform the potential development of a future DARPA program in this field. | Mike McDonald | Michael Pettes Lisa Claus Francesco Ricci Michael Tucker Neil Mehta Armand Alivisatos Jeremy Munday Kelly Kissock Kevin G Knauss Dunghai Lee Tae Hwan Lim Alex Newkirk Zixi Hu Zakaria Al Balushi Andre Anders Zachary Needell Han Lee Kin Yu Minliang Yang Nicholas DeForest Kristin Persson Thomas Schutzius Helcio Blum Ravi Prasher Yuan Mei Mengjie Yu Michael Crommie Amol Phadke Eric Masanet Thomas Hendrickson Sooyeon Park Scott Mccormack Masao Suzuki Shibata Ian Lacey Rohan Dhall Daniel Arnold | State-of-the-Art Performance Characterization | Overcoming Fundamental Technical Barriers | Application and Use-Case Development |
| Protein Palace Proposers Day |
DARPA/MXO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) Protein Palace program aims to develop a universal and generalizable platform for the rapid purification of virtually any protein with high specif... |
2026-11-09T16:00:00 ET |
Protein Purification TechnologiesDynamic Chemical SeparationDynamic Physical SeparationPhysicochemical Protein AnalysisTunable Molecular SeparationGeneralizable Purification PlatformsBiomanufacturing Process DevelopmentHigh-Throughput PurificationProcess Scalability EngineeringBioactivity Preservation MethodsBiochemical Purification DesignBiomacromolecule Production |
Novel Tunable Separation PlatformsGeneralizable High-Specificity PurificationScalable Biomanufacturing and Throughput |
BSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Protein Palace Proposers Day | DARPA/MXO | DARPA-SN-27-01 | BSA, EESA, ESA, ETA, PSA | Protein Purification Technologies | Dynamic Chemical Separation | Dynamic Physical Separation | Physicochemical Protein Analysis | Tunable Molecular Separation | Generalizable Purification Platforms | Biomanufacturing Process Development | High-Throughput Purification | Process Scalability Engineering | Bioactivity Preservation Methods | Biochemical Purification Design | Biomacromolecule Production | The Defense Advanced Research Projects Agency (DARPA) Protein Palace program aims to develop a universal and generalizable platform for the rapid purification of virtually any protein with high specificity, purity, and yield. This initiative seeks to overcome the limitations of current state-of-the-art methods, which are slow, expensive, and rely on a rigid "one protein, one ligand" paradigm. The program will fund the development of novel, tunable systems that leverage dynamic chemical and physical approaches to probe subtle physicochemical variations between proteins, moving beyond fixed lock-and-key mechanisms. The program consists of two phases: a 24-month Phase 1 focused on demonstrating specificity and generalizability by purifying eight different proteins at a small scale, and an 18-month Phase 2 focused on scalability, throughput, and successfully purifying two proteins that are inseparable using current methods. This notice announces a Proposers Day to introduce the program and encourage teaming. | Dr. Huanan Zhang | Hiroki Makita Andy DeGiovanni Seth Carbon David Carruthers Chang Dou Jose Chirinos Shaowei Li Jacob Hilzinger Ramkrishna Singh Amy Herr Corie Ralston Alexandre Bayen Joelle Frechette Michelle O'Malley Han Lee Minliang Yang Kristin Persson Natalia Molchanova Tyler Backman Hans Carlson Carlos Bustamante Kameshwar Poolla Susan Marqusee Eric Masanet Wenming Dong Nawa Raj Baral Carolina Araujo Barcelos Line Kristensen Zachary Jones Banumathi Sankaran Yan Chen Piotr Zarzycki | Novel Tunable Separation Platforms | Generalizable High-Specificity Purification | Scalable Biomanufacturing and Throughput |
| Unlocking New Levels of Output and Capacity for Key Subsurface Resources (UNLOCK) |
ARPA-E |
Cooperative Agreement |
The Unlocking New Levels of Output and Capacity for Key Subsurface Resources (UNLOCK) program, issued by ARPA-E, seeks to fund the development of transformative technologies to dramatically improve re... |
2026-11-20T00:00:00 ET |
Subsurface Fracture MechanicsHydraulic Fracturing AlternativesEnhanced Geothermal Systems (EGS)Engineered Proppant TechnologiesAdvanced Subsurface Recovery FluidsIn-Situ Resource LeachingSubsurface Reservoir CharacterizationDownhole Sensor TechnologiesReservoir Simulation and ModelingGeochemical Fluid-Rock InteractionsSubsurface Water ManagementQuantum Sensing and ComputingDownhole Materials Science |
Novel Subsurface Stimulation TechnologiesAdvanced Recovery Fluids and ProppantsAdvanced Subsurface Diagnostics and Integrated Modeling |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Unlocking New Levels of Output and Capacity for Key Subsurface Resources (UNLOCK) | ARPA-E | DE-FOA-0003630 | BSA, CSA, EESA, ESA, ETA, PSA | Subsurface Fracture Mechanics | Hydraulic Fracturing Alternatives | Enhanced Geothermal Systems (EGS) | Engineered Proppant Technologies | Advanced Subsurface Recovery Fluids | In-Situ Resource Leaching | Subsurface Reservoir Characterization | Downhole Sensor Technologies | Reservoir Simulation and Modeling | Geochemical Fluid-Rock Interactions | Subsurface Water Management | Quantum Sensing and Computing | Downhole Materials Science | The Unlocking New Levels of Output and Capacity for Key Subsurface Resources (UNLOCK) program, issued by ARPA-E, seeks to fund the development of transformative technologies to dramatically improve resource recovery from low-permeability subsurface formations. The program's primary objective is to double the per-well recovery efficiency of energy and mineral resources, while maintaining or reducing per-unit costs and wastewater volumes compared to the state-of-the-art. The funding opportunity is structured into two categories: Category A focuses on Shale and Tight Oil & Gas, while Category B addresses Other Low-Permeability Subsurface Resources, such as enhanced geothermal systems (EGS) and in-situ mineral leaching. Key technical areas of interest include waterless/low-water stimulation techniques, advanced recovery fluids, engineered proppants, and advanced diagnostics and modeling. Projects must integrate stimulation and recovery methods, supported by sensing and modeling. A mandatory two-phase structure requires 18 months of laboratory validation followed by a competitive down-select for an 18-month field test at a pre-committed site. Applicants must provide a letter of commitment from a field site operator with their application and meet specific performance targets, such as achieving ≥40% oil or ≥50% gas recovery factors in Category A. | ARPA-E-CO@hq.doe.gov | Evan Um Yves Guglielmi Armand Alivisatos Michael Sangid Kevin G Knauss Brooks Abel Edward Nichols Slavomir Nemsak Angelos Ioannou George Moridis Niklas Mundhenk Kristin Persson Pramod Bhuvankar Linqing Luo F. Dean Toste David Alumbaugh Aaron Lattanzi Lijing Wang Eric Masanet Wenming Dong Stanislav Glubokovskikh Tsubasa Sasaki Anandharaj Marimuthu Chun Chang Teamrat Ghezzehei Clayton Radke Haimei Zheng Preston Jordan Aodhan McIlvenny Anthony Ciavarella Zachary Jones Ashok Ajoy William Foxall Piotr Zarzycki | Novel Subsurface Stimulation Technologies | Advanced Recovery Fluids and Proppants | Advanced Subsurface Diagnostics and Integrated Modeling |
| Tracking Layer Tranche 4 On-orbit Demonstrations and Operations Request for Information |
USSF/SDA |
Special Notice |
[Analyzed from API Fallback] The Space Development Agency (SDA) is issuing a Request for Information (RFI) to gather industry feedback for the Tracking Layer Tranche 4 of its Proliferated Warfighter S... |
2026-12-04T12:00:00 ET |
Proliferated Space ArchitecturesOn-Orbit DemonstrationsSatellite Mission PayloadsResilient MWTD SystemsSpace-Based Target DetectionSpace-Based Target TrackingRapid Prototyping PayloadsFlight Demonstration Payloads |
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N/A |
AI Summary | Collaboration Graph |
Tracking Layer Tranche 4 On-orbit Demonstrations and Operations Request for Information | USSF/SDA | SDA-SN-27-0003 | N/A | Proliferated Space Architectures | On-Orbit Demonstrations | Satellite Mission Payloads | Resilient MWTD Systems | Space-Based Target Detection | Space-Based Target Tracking | Rapid Prototyping Payloads | Flight Demonstration Payloads | [Analyzed from API Fallback] The Space Development Agency (SDA) is issuing a Request for Information (RFI) to gather industry feedback for the Tracking Layer Tranche 4 of its Proliferated Warfighter Space Architecture (PWSA). The agency seeks information on enhancing its baseline Resilient MWTD (Missile Warning/Tracking/Defense) mission payloads and architecture to improve the detection and tracking of challenging targets across their full flight trajectories. This feedback will inform the scope of future on-orbit demonstrations, rapid prototyping, and the formal Tranche 4 solicitation, which will include production contracts and partnership opportunities. The full RFI documents contain Controlled Unclassified Information (CUI) and a classified addendum, which must be requested from the SDA. | ussf.pentagon.sda.mesg.sda-sn-27-0003-mbx@mail.mil | Evan Um Yves Guglielmi Ronald Cohen Armand Alivisatos Michael Sangid Brooks Abel Piotr Zarzycki Prabal Dutta Slavomir Nemsak Shawn Tornga Alexandre Bayen Angelos Ioannou Peter Tennessen Kristin Persson Mark Bandstra Linqing Luo Yuan Mei Gregory Lemieux F. Dean Toste David Alumbaugh Aaron Lattanzi Lijing Wang Eric Masanet Wenming Dong Stanislav Glubokovskikh Tsubasa Sasaki Anandharaj Marimuthu Chun Chang Haimei Zheng Georgios Michelogiannakis Clayton Radke Preston Jordan Aodhan McIlvenny Anthony Ciavarella Zachary Jones Ashok Ajoy William Foxall Mario Cromaz |
| Commercial Solutions Opening (CSO) - PAE-MC, PM Training Systems |
United States Marine Corps/PM TRASYS |
Special Notice |
The U.S. Marine Corps Program Manager Training Systems (PM TRASYS) has released an umbrella Commercial Solutions Opening (CSO) under the authority of 10 U.S.C. § 3458 to rapidly procure mature commerc... |
2031-10-19T11:59:00 ET |
Ground Training SystemsModeling and SimulationSynthetic Training SystemsRange Management TechnologyForce on Force TrainingSynthetic Vehicle TrainingWarfighter Training TechnologiesCommercial Technology IntegrationAgile Development ActivitiesTraining System Life-cycle Support |
|
N/A |
AI Summary | Collaboration Graph |
Commercial Solutions Opening (CSO) - PAE-MC, PM Training Systems | United States Marine Corps/PM TRASYS | M67854-27-S-8000 | N/A | Ground Training Systems | Modeling and Simulation | Synthetic Training Systems | Range Management Technology | Force on Force Training | Synthetic Vehicle Training | Warfighter Training Technologies | Commercial Technology Integration | Agile Development Activities | Training System Life-cycle Support | The U.S. Marine Corps Program Manager Training Systems (PM TRASYS) has released an umbrella Commercial Solutions Opening (CSO) under the authority of 10 U.S.C. § 3458 to rapidly procure mature commercial technologies and solutions for ground training systems. This streamlined acquisition vehicle, open for awards through October 19, 2031, will be used to address specific needs detailed in separate Areas of Interest (AoIs). The process uses a multi-phased, non-traditional FAR approach: Phase 1 (Solution Brief), Phase 2 (Pitch/Demonstration, if applicable), and Phase 3 (Request for Commercial Solution Proposal). Submissions are evaluated on their individual merit, technical feasibility, and relevance to the AoI, not comparatively against other submissions. All awards will be structured as fixed-price contracts and the opportunity is open to all responsible sources. | nicole.batts2@usmc.mil | Evan Um Yves Guglielmi Armand Alivisatos Michael Sangid Brooks Abel Alex Newkirk Slavomir Nemsak Steven Hofmeyr Eliot Crowe Alexandre Bayen Angelos Ioannou Zachary Needell Samveg Saxena Kristin Persson Tianzhen Hong Linqing Luo Gregory Lemieux F. Dean Toste David Alumbaugh Aaron Lattanzi Lijing Wang Eric Masanet Wenming Dong Stanislav Glubokovskikh Tsubasa Sasaki Maximilian Auffhammer Anandharaj Marimuthu Chun Chang Haimei Zheng Clayton Radke Preston Jordan Aodhan McIlvenny Anthony Ciavarella Zachary Jones Ashok Ajoy William Foxall Piotr Zarzycki |
| ARMY APPLICATIONS LABORATORY BROAD AGENCY ANNOUNCEMENT FOR DISRUPTIVE TECHNOLOGIES |
Army Futures Command/AAL |
Solicitation |
The U.S. Army Applications Laboratory (AAL) has issued a five-year Broad Agency Announcement (BAA), W911NF-24-S-0008, to solicit proposals for basic and applied research on disruptive technologies sup... |
2029-04-04T17:00:00 ET |
Autonomous Platforms and RoboticsArtificial Intelligence and Machine LearningData Visualization and Synthetic EnvironmentsAssured Position, Navigation, and Timing (PNT)Power Generation and ManagementAdvanced Sensing and DetectionSecure Communications and NetworkingHigh Performance and Edge ComputingSpace Systems and PayloadsInternet of Things (IoT) ManagementQuantum Information ScienceSignature Reduction TechnologiesSoldier and Platform ProtectionHuman Performance AugmentationKinetic Payload Delivery Systems |
Key Research Areas |
BSACSAETAPSA |
AI Summary | Collaboration Graph |
ARMY APPLICATIONS LABORATORY BROAD AGENCY ANNOUNCEMENT FOR DISRUPTIVE TECHNOLOGIES | Army Futures Command/AAL | W911NF-24-S-0008 | BSA, CSA, ETA, PSA | Autonomous Platforms and Robotics | Artificial Intelligence and Machine Learning | Data Visualization and Synthetic Environments | Assured Position, Navigation, and Timing (PNT) | Power Generation and Management | Advanced Sensing and Detection | Secure Communications and Networking | High Performance and Edge Computing | Space Systems and Payloads | Internet of Things (IoT) Management | Quantum Information Science | Signature Reduction Technologies | Soldier and Platform Protection | Human Performance Augmentation | Kinetic Payload Delivery Systems | The U.S. Army Applications Laboratory (AAL) has issued a five-year Broad Agency Announcement (BAA), W911NF-24-S-0008, to solicit proposals for basic and applied research on disruptive technologies supporting Army modernization priorities. The BAA, valid from April 5, 2024, to April 4, 2029, aims to discover, accelerate, and translate innovations from industry, academia, and civilian ecosystems to provide the Army with a significant capability overmatch, with a focus on dual-use solutions applicable to commercial markets. Key technology areas of interest include autonomous platforms, AI/ML, data visualization, assured PNT, power and energy, sensing, communications, computation (including edge), space systems, IoT, quantum technologies, signature reduction, soldier protection, human performance, contested logistics, and kinetic payloads. The application process is staged, starting with a mandatory whitepaper submission through the AAL website. Based on a favorable review and funding availability, applicants may be invited to submit a full proposal. The government anticipates awarding a variety of instruments, including procurement contracts, grants, cooperative agreements, and Other Transactions (OTs) for research or prototypes. | aal-baa@army.mil | Houjun Tang Nirmalendu Patra Bruce Nordman Claire Tomlin Scott Moura Thomas Hendrickson Mark Bandstra Victor Negut Adam Slagell Xianglei Mao Anna Giannakou Bruce Mah Venkatesh Akella Hartmut Haeffner Alexandre Bayen Ezra Kissel | Key Research Areas |
| Request for Information – Prophylactic Platform for Medical Countermeasures |
Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND)/JPM CBRN Medical |
Special Notice |
This document, Appendix 1 to RFI W911SR-26-S-PPFC, outlines the Chemical, Biological, Radiological, and Nuclear (CBRN) threats of concern for the JPM CBRN Medical Accelerated Defense Pharmaceuticals (... |
2026-11-18T16:30:00 ET |
Prophylactic Platform TechnologiesMedical Countermeasure DevelopmentBiopharmaceutical ManufacturingNon-clinical TestingClinical Testing & TrialsVirology ResearchBacteriology & MicrobiologyAntimicrobial Resistance ResearchToxin Countermeasure DevelopmentChemical Threat CountermeasuresRadiation Biology & CountermeasuresImmunogenicity & Efficacy StudiesHemorrhagic Fever VirusesEncephalitis Viruses |
Prophylactic Platforms for Viral ThreatsProphylactic Platforms for Bacterial ThreatsProphylactic Platforms for Toxin ThreatsProphylactic Platforms for Chemical ThreatsProphylactic Platforms for Radiation Threats |
BSACSAEESAESAETALDOperationsPSA |
AI Summary | Collaboration Graph |
Request for Information – Prophylactic Platform for Medical Countermeasures | Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND)/JPM CBRN Medical | W911SR27SPPFC | BSA, CSA, EESA, ESA, ETA, LD, Operations, PSA | Prophylactic Platform Technologies | Medical Countermeasure Development | Biopharmaceutical Manufacturing | Non-clinical Testing | Clinical Testing & Trials | Virology Research | Bacteriology & Microbiology | Antimicrobial Resistance Research | Toxin Countermeasure Development | Chemical Threat Countermeasures | Radiation Biology & Countermeasures | Immunogenicity & Efficacy Studies | Hemorrhagic Fever Viruses | Encephalitis Viruses | This document, Appendix 1 to RFI W911SR-26-S-PPFC, outlines the Chemical, Biological, Radiological, and Nuclear (CBRN) threats of concern for the JPM CBRN Medical Accelerated Defense Pharmaceuticals (ADP) program. The program is requesting information from product developers on the design, manufacturing, and testing of advanced prophylactic platform technologies targeting one or more of these specified threats. The prioritized list includes Viral Targets (e.g., Filoviruses, Nipah), Bacterial Targets (e.g., Antimicrobial Resistant Bacteria, Plague, Anthrax), Toxin Targets (e.g., Ricin, Botulinum Toxin), Chemical Targets (e.g., Fentanyl Derivatives, Nerve Agents), and Radiation Targets (e.g., Ionizing, Nuclear). | N/A | Eva Myskova Seth Carbon Jian-Hua Chen Behzad Rad Jinyi Qi Sam Diaz-Munoz Jose Chirinos John Hartwig Jacob Hilzinger Priscilla Cooper Cory Snavely Javier Caravaca Rodriguez Woon-Seng Choong Amy Herr Piotr Zarzycki Xiaochen Tang Daniel Minor Christopher Petzold Amy Kronenberg Deepika Awasthi Romy Chakraborty Nicholas Bouskill Marion Russell Natalia Molchanova Eleanor Zizka Stefan Lasiewski F. Dean Toste Hans Carlson Ryan Heller Jay Nix Jill Fuss Jamie Inman Yasuo Yoshikuni Tin Ho Tamas Torok Valentine Trotter John Conboy Harshini Mukundan Simruthi Subramanian Banumathi Sankaran Yan Chen Benjamin Cole | Prophylactic Platforms for Viral Threats | Prophylactic Platforms for Bacterial Threats | Prophylactic Platforms for Toxin Threats | Prophylactic Platforms for Chemical Threats | Prophylactic Platforms for Radiation Threats |
| Pre-Award Synopsis Texas Shield |
DARPA/BTO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) has issued a pre-award synopsis for the Texas Shield Program. The program's goal is to develop and transition... |
2026-11-15T17:00:00 ET |
Autonomous Medical CareAutonomous Medical SystemsSemi-Autonomous Medical TechnologiesRobotic Surgical SystemsAutonomous Casualty EvacuationArtificial Blood InnovationResilient Medical SuppliesScalable Medical ConsumablesArtificial Intelligence (AI) DevelopmentClinical Decision Support SoftwareMass-Casualty ScienceMass-Casualty Simulation |
Autonomous and Robotic Medical SystemsAI-Enabled Clinical Decision Support and SimulationResilient Medical Supplies and Consumables |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
Pre-Award Synopsis Texas Shield | DARPA/BTO | DARPA-SN-27-07 | BSA, CSA, ESA, ETA, PSA | Autonomous Medical Care | Autonomous Medical Systems | Semi-Autonomous Medical Technologies | Robotic Surgical Systems | Autonomous Casualty Evacuation | Artificial Blood Innovation | Resilient Medical Supplies | Scalable Medical Consumables | Artificial Intelligence (AI) Development | Clinical Decision Support Software | Mass-Casualty Science | Mass-Casualty Simulation | The Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) has issued a pre-award synopsis for the Texas Shield Program. The program's goal is to develop and transition an integrated ecosystem of autonomous and semi-autonomous medical technologies to support lifesaving care in contested, austere, and resource-limited environments. DARPA intends to enter into an agreement with The University of Texas System consortium for this research initiative. Key technical areas include autonomous medical systems, casualty evacuation, robotic surgery, artificial blood and resilient medical supplies, AI-enabled clinical decision support, and mass-casualty science and simulation. This notice is not a competitive solicitation, but other qualified entities may submit information describing their capabilities. | TexasShieldxBTO@DARPA.mil | Alexander Sim Claire Tomlin Francesco Ricci Didier Perrodin Jean-Francois Croteau Chris Mungall Harry Caufield John Dueber Jacob Hilzinger Reginald Lee Michael Mahoney Sarah Poon Talita Perciano Costa Leite Steven Hofmeyr Alexandre Bayen Zachary Needell Drew Paine Peter Tennessen Kristin Persson Grace Lau Zachary Jones Baishakhi Bose Satyarth Praveen Kameshwar Poolla Houjun Tang Eric Masanet Thomas Hendrickson Victor Negut Kaiyu Sun Anna Giannakou Donghun Kim Yan Chen | Autonomous and Robotic Medical Systems | AI-Enabled Clinical Decision Support and Simulation | Resilient Medical Supplies and Consumables |
| Broad Other Transaction Authority Announcement (BOTAA) for Military Engineering and Engineered Resilient Systems |
U.S. Army/ERDC |
Special Notice |
[Analyzed from API Fallback] The U.S. Army Engineer Research and Development Center (ERDC) is soliciting prototype concept white papers through a continuously open Broad Other Transaction Authority An... |
2026-12-31T18:00:00 ET |
Military EngineeringEngineered Resilient Systems |
Key Research Areas |
CSAEESAETA |
AI Summary | Collaboration Graph |
Broad Other Transaction Authority Announcement (BOTAA) for Military Engineering and Engineered Resilient Systems | U.S. Army/ERDC | W912HZ25BOTAA | CSA, EESA, ETA | Military Engineering | Engineered Resilient Systems | [Analyzed from API Fallback] The U.S. Army Engineer Research and Development Center (ERDC) is soliciting prototype concept white papers through a continuously open Broad Other Transaction Authority Announcement (BOTAA). The focus areas are Military Engineering (ME) and Engineered Resilient Systems (ERS). Submissions will be evaluated competitively on an ongoing basis, with potential awards being contingent on the availability of funds. | N/A | Eric Masanet Jing Ke Kristina S. H. LaCommare Thomas Hendrickson Wei Zhang Victor Negut Abigayle Hodson Sylvain Fiolleau Jeetika Malik Sunhee Baik Alexandre Bayen Zachary Needell Cory Snavely Daniel Arnold | Key Research Areas |
| RFI Lupus Research Program (LRP) Public |
Congressionally Directed Medical Research Programs/LRP |
Sources Sought |
The Congressionally Directed Medical Research Programs (CDMRP) has released a Request for Information (RFI) on behalf of the Lupus Research Program (LRP) to guide strategic planning and potential futu... |
2026-11-16T16:00:00 ET |
Lupus Disease HeterogeneityBiopsychosocial StudiesPersonalized MedicineSystems BiologyEpidemiological StudiesLupus Biological MechanismsPathobiology of End Organ InjuryOutcomes ResearchComparative Effectiveness ResearchMaternal Fetal Health ResearchGenetic and Epigenetic AnalysisGene-Environment InteractionsFunctional Genomic StudiesInnovative Health Care Delivery |
Mechanistic Understanding of Lupus Heterogeneity and PathobiologyImproving Patient-Centered Outcomes and Health Care Delivery |
BSACSAEESAETA |
AI Summary | Collaboration Graph |
RFI Lupus Research Program (LRP) Public | Congressionally Directed Medical Research Programs/LRP | HT9427RFI2027LRP | BSA, CSA, EESA, ETA | Lupus Disease Heterogeneity | Biopsychosocial Studies | Personalized Medicine | Systems Biology | Epidemiological Studies | Lupus Biological Mechanisms | Pathobiology of End Organ Injury | Outcomes Research | Comparative Effectiveness Research | Maternal Fetal Health Research | Genetic and Epigenetic Analysis | Gene-Environment Interactions | Functional Genomic Studies | Innovative Health Care Delivery | The Congressionally Directed Medical Research Programs (CDMRP) has released a Request for Information (RFI) on behalf of the Lupus Research Program (LRP) to guide strategic planning and potential future funding opportunities for Fiscal Year 2027 (FY27). This RFI is for information and planning purposes only and does not constitute a solicitation for proposals. The LRP seeks feedback from a wide range of stakeholders, including academia, industry, patient advocates, and the public, through a survey. The survey aims to identify critical gaps in the LRP's current strategic goals and focus areas, determine the most underfunded yet impactful areas of lupus research, and prioritize research types (e.g., heterogeneity, biological mechanisms, quality of life, clinical trials) that would most significantly advance the field. | jared.d.acre.civ@health.mil | Jennifer Rosenbluth Mohammad Kaazem Pur Mofrad Momoe Kato Yuko Yoshinaga Adam Deutschbauer Morgan Price Steven Hofmeyr Rajshree Deshmukh Deepika Awasthi Alan Sanstad Drew Paine Rafael Zamora-Resendiz Eleanor Zizka Jamie Inman Timothy Hackmann Joshua Apte Stephanie Holm Jing Ke Abby Dernburg Sharon Greenblum Kenneth Wan Maximilian Auffhammer Cynthia Gerlein-Safdi Dianna LaFerry Jian-Hua Mao | Mechanistic Understanding of Lupus Heterogeneity and Pathobiology | Improving Patient-Centered Outcomes and Health Care Delivery |
| Liquid Surge |
DARPA/DSO |
Solicitation |
The Defense Advanced Research Projects Agency (DARPA) 'Liquid Surge' program is a Disruption Opportunity focused on advancing the fundamental understanding, predictive modeling, and metrology of trans... |
2026-12-14T16:00:00 ET |
Wave Propagation in Compressible FluidsNovel Metrology DevelopmentTransient Wave PhenomenaCoupled Thermodynamic ProcessesExperimental Fluid DiagnosticsNon-Intrusive Sensing TechniquesPhysics-Based Predictive ModelingMultiscale Computational MethodsKinetic Theory SimulationsComputational Fluid DynamicsHigh-Performance ComputingExperimental Model ValidationMicrofluidics and MicroreactorsUncertainty Quantification |
Advanced Experimental Metrology for Transient Wave PhenomenaPhysics-Based Predictive Modeling of Transient Fluid Behavior |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Liquid Surge | DARPA/DSO | DARPA-PA-25-07-05 | BSA, CSA, EESA, ESA, ETA, PSA | Wave Propagation in Compressible Fluids | Novel Metrology Development | Transient Wave Phenomena | Coupled Thermodynamic Processes | Experimental Fluid Diagnostics | Non-Intrusive Sensing Techniques | Physics-Based Predictive Modeling | Multiscale Computational Methods | Kinetic Theory Simulations | Computational Fluid Dynamics | High-Performance Computing | Experimental Model Validation | Microfluidics and Microreactors | Uncertainty Quantification | The Defense Advanced Research Projects Agency (DARPA) 'Liquid Surge' program is a Disruption Opportunity focused on advancing the fundamental understanding, predictive modeling, and metrology of transient wave phenomena in compressible fluids under challenging conditions. The program mandates a dual-thrust approach, requiring proposers to concurrently develop: 1) innovative prototype experimental hardware for diagnosing and validating wave propagation in pressurized liquids, and 2) a novel, physics-based computational prediction tool to model the coupled thermodynamic and mechanical fluid behavior across scales. The effort is structured as an 18-month, two-phase project (Phase 1: Feasibility, Phase 2: Proof of Concept) with a total award value up to $995,000. Performers are expected to meet increasingly stringent technical metrics for operating conditions (pressure, temperature, wave Mach number), measurement accuracy, and prediction error, ultimately delivering prototype hardware designs and a standalone computational tool. | LiquidSurge@darpa.mil | Lisa Claus Mohammad Kaazem Pur Mofrad Guanjing Lin Stephen Holland Kevin G Knauss Carl Blumstein Amy Herr Erich Strohmaier Steven Pride Tarek Zohdi Joelle Frechette Zhe Bai Holger Mueller Han Lee Pramod Bhuvankar Jon Wilkening Simo Makiharju Gregory Lemieux Aaron Lattanzi Noel Keen Ahmad Omar Per-Olof Persson Ian Lacey Anthony Ciavarella Piotr Zarzycki | Advanced Experimental Metrology for Transient Wave Phenomena | Physics-Based Predictive Modeling of Transient Fluid Behavior |
| Building America Subject Matter Expert Technical Support |
Department of Energy/Building America Program |
Solicitation |
This document is a sample indefinite-quantity, firm-fixed-price subcontract for Subject Matter Expert (SME) services supporting the Department of Energy's (DOE) Building America program, managed by th... |
2026-11-16T20:00:00 ET |
Building Science ResearchField Validation Data CollectionBuilding Systems ModelingBuilding Envelope RetrofitsWhole-Home Systems AnalysisEnvelope Upgrade AnalysisMoisture and Humidity ControlManufacturing Factory OptimizationBuilding Product DesignBuilding Materials InnovationDigital Tools and ModelingNew Construction Technologies |
Advanced New Construction and ManufacturingHigh-Performance Building Envelope RetrofitsBuilding Energy Analysis and Market Transformation |
CSAESAETA· Materials Innovation |
AI Summary | Collaboration Graph |
Building America Subject Matter Expert Technical Support | Department of Energy/Building America Program | RFP-2026-10245() | CSA, ESA, ETA, · Materials Innovation | Building Science Research | Field Validation Data Collection | Building Systems Modeling | Building Envelope Retrofits | Whole-Home Systems Analysis | Envelope Upgrade Analysis | Moisture and Humidity Control | Manufacturing Factory Optimization | Building Product Design | Building Materials Innovation | Digital Tools and Modeling | New Construction Technologies | This document is a sample indefinite-quantity, firm-fixed-price subcontract for Subject Matter Expert (SME) services supporting the Department of Energy's (DOE) Building America program, managed by the National Laboratory of the Rockies (NLR). The objective is to engage technical experts to help the building industry produce lower-cost, high-quality, energy-efficient buildings. The scope covers new construction (focusing on factory optimization, materials innovation, and digital modeling) and existing home retrofits (addressing envelope upgrades for moisture, humidity, and infiltration). The contract is structured with a one-year base period and four one-year options, operating on a work order basis where tasks are individually negotiated and priced. Key provisions include requirements for key personnel, invoicing procedures, and strict compliance with DOE directives on foreign government affiliations and non-discriminatory DEI activities. | N/A | Jingjing Liu Prakash Rao Luis Fernandes Shankar Earni Guanjing Lin Elizabeth Stuart Carl Blumstein Travis Walter Alex Newkirk Haley Gilbert Lane Martin Rory Schmick Henry Willem Zachary Needell Natalie Frick Nicholas DeForest Iain Walker Bruce Nordman Jordan Shackelford Luisa Caldas William Delp Thomas Schutzius Samuel Fernandes Haegyum Kim Robert Hart Jingjing Zhang Ettore Zanetti Sang woo Ham Eric Masanet Thomas Hendrickson Kaiyu Sun Donghun Kim | Advanced New Construction and Manufacturing | High-Performance Building Envelope Retrofits | Building Energy Analysis and Market Transformation |
| High-throughput Unmasking of Biological Interactomes with Binding Landscape Emulators (HUBBLE) |
DARPA |
Solicitation |
This document is a model Other Transaction (OT) agreement for the Defense Advanced Research Projects Agency (DARPA) HUBBLE (High-throughput Unmasking of Biological Interactomes with Binding Landscape ... |
2026-11-05T15:00:00 ET |
Computational BiologyIn-Silico ModelingProtein-Protein Interaction MappingHigh-Throughput Data AnalysisBiological Interactome AnalysisMolecular Binding EmulationTherapeutic Target IdentificationDiagnostic Target DiscoveryTraumatic Brain Injury ModelingMachine Learning for BiologyBioinformatics Algorithm DevelopmentSystems BiologyProteomics |
|
N/A |
AI Summary | Collaboration Graph |
High-throughput Unmasking of Biological Interactomes with Binding Landscape Emulators (HUBBLE) | DARPA | DARPA-PA-27-01 | N/A | Computational Biology | In-Silico Modeling | Protein-Protein Interaction Mapping | High-Throughput Data Analysis | Biological Interactome Analysis | Molecular Binding Emulation | Therapeutic Target Identification | Diagnostic Target Discovery | Traumatic Brain Injury Modeling | Machine Learning for Biology | Bioinformatics Algorithm Development | Systems Biology | Proteomics | This document is a model Other Transaction (OT) agreement for the Defense Advanced Research Projects Agency (DARPA) HUBBLE (High-throughput Unmasking of Biological Interactomes with Binding Landscape Emulators) program. The program's objective is to develop an in-silico capability for the high-throughput mapping of all protein-protein interactions. This capability is intended to be used to identify novel diagnostic and therapeutic targets, with a specific demonstration focused on the interaction space underlying traumatic brain injury (TBI). The provided document serves as a template for the research agreement, detailing the legal and administrative terms and conditions, including project scope, management, payment schedules, intellectual property rights, data rights, and cybersecurity requirements for performers. | N/A | Jingjing Liu Luis Fernandes Shankar Earni Guanjing Lin Elizabeth Stuart Momoe Kato Travis Walter Alex Newkirk Lane Martin Morgan Price Christopher Petzold Rory Schmick Henry Willem Natalie Frick Nicholas DeForest Iain Walker Bruce Nordman Jordan Shackelford Zhong Wang Luisa Caldas William Delp Thomas Schutzius Haegyum Kim Georgios Pavlopoulos Jingjing Zhang Robert Hart Ettore Zanetti Sang woo Ham Eric Masanet Zhi Jackie Yao Sharon Greenblum Thomas Hendrickson Kaiyu Sun Maciej Haranczyk Donghun Kim Banumathi Sankaran Piotr Zarzycki |
| Silicon Carbide Cladding Lead Test Rod Development-Phase 1 |
DOE |
Cooperative Agreement |
This funding opportunity supports Phase 1 of the development of Silicon Carbide (SiC) cladding for nuclear fuel rods. The primary objective is to advance the technological maturity of SiC cladding for... |
2026-12-07T00:00:00 ET |
Silicon Carbide CladdingNuclear Fuel Rod DevelopmentCladding Specimen FabricationNuclear Materials IrradiationPost-Irradiation Examination (PIE)Research Reactor OperationsLight Water Reactor TechnologyNuclear Materials ScienceAdvanced Nuclear FuelsReactor Materials Testing |
SiC Cladding Development and FabricationIrradiation Testing and In-Reactor PerformancePost-Irradiation Examination and Characterization |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Silicon Carbide Cladding Lead Test Rod Development-Phase 1 | DOE | DE-FOA-0003577 | BSA, CSA, EESA, ESA, ETA, PSA | Silicon Carbide Cladding | Nuclear Fuel Rod Development | Cladding Specimen Fabrication | Nuclear Materials Irradiation | Post-Irradiation Examination (PIE) | Research Reactor Operations | Light Water Reactor Technology | Nuclear Materials Science | Advanced Nuclear Fuels | Reactor Materials Testing | This funding opportunity supports Phase 1 of the development of Silicon Carbide (SiC) cladding for nuclear fuel rods. The primary objective is to advance the technological maturity of SiC cladding for future use in commercial light water reactors. The project involves the research, development, and fabrication of SiC cladding specimens, which will undergo insertion, irradiation, and post-irradiation examinations in a research reactor by 2030. | rtesinfo@hq.doe.gov | Didier Perrodin Francesco Ricci Mauricio Ayllon Unzueta Igor Jovanovic Amy Herr Marina Radulaski Patrick Huck Rajshree Deshmukh Peter Hosemann Jennifer Pore Kristin Persson Philip Mallon Pramod Bhuvankar Alexander Ditter Nobumichi Tamura Mingwei Zhang Hannah Parrilla Yuan Mei Simo Makiharju M Shamsuzzoha Basunia Harold Barnard Pranta Saha Colin Ophus Stefan Finsterle Federico Moretti Haimei Zheng Bethany Goldblum Qin Yu | SiC Cladding Development and Fabrication | Irradiation Testing and In-Reactor Performance | Post-Irradiation Examination and Characterization |
| NGA - Boosting Innovative GEOINT - Science & Technology Broad Agency Announcement (BIG-ST BAA): Topic # 07 – Lidar Analysis for Surface & Environmental Reconnaissance (LASER) |
NGA |
Solicitation |
The National Geospatial-Intelligence Agency (NGA) is soliciting innovative research and development proposals under the Boosting Innovative GEOINT - Science & Technology (BIG-ST) Broad Agency Announce... |
2026-12-11T23:59:00 ET |
Geodetic & Geophysical ModelingAssured Positioning & NavigationAutomated Feature ExtractionHuman & Environmental ModelingBathymetric & Topographic ModelingAdvanced Sensor Data ProcessingTarget Detection & TrackingNovel Source ExploitationSpace Situational AwarenessMulti-Domain Data AggregationArtificial Intelligence & Machine LearningComputer Vision & Image UnderstandingAutomated Target Recognition (ATR)Predictive Analytics & ForecastingKnowledge & Ontology Modeling |
Foundational GEOINTAdvanced PhenomenologiesAnalytic Technologies |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
NGA - Boosting Innovative GEOINT - Science & Technology Broad Agency Announcement (BIG-ST BAA): Topic # 07 – Lidar Analysis for Surface & Environmental Reconnaissance (LASER) | NGA | HM047627XXXX | BSA, CSA, EESA, ESA, ETA, PSA | Geodetic & Geophysical Modeling | Assured Positioning & Navigation | Automated Feature Extraction | Human & Environmental Modeling | Bathymetric & Topographic Modeling | Advanced Sensor Data Processing | Target Detection & Tracking | Novel Source Exploitation | Space Situational Awareness | Multi-Domain Data Aggregation | Artificial Intelligence & Machine Learning | Computer Vision & Image Understanding | Automated Target Recognition (ATR) | Predictive Analytics & Forecasting | Knowledge & Ontology Modeling | The National Geospatial-Intelligence Agency (NGA) is soliciting innovative research and development proposals under the Boosting Innovative GEOINT - Science & Technology (BIG-ST) Broad Agency Announcement (BAA), HM0476-23-BAA-0001. The BAA aims to address challenging Geospatial-Intelligence (GEOINT) problems to support U.S. national security. This is a general solicitation under which specific "Topic Calls," such as the active "Topic #07 – Lidar Analysis for Surface & Environmental Reconnaissance (LASER)," are released. Proposed research must fall within Technology Readiness Levels (TRL) 1-7 and align with one of three technical domains: (1) Foundational GEOINT, focusing on high-resolution Earth representations; (2) Advanced Phenomenologies, involving novel data sensing and processing; and (3) Analytic Technologies, leveraging AI/ML, computer vision, and advanced analytics. The process requires a mandatory abstract submission for a specific Topic Call before a full proposal can be submitted. The government may issue various award types, including procurement contracts, grants, cooperative agreements, or Other Transactions (OTs). | BIGSTBAA@nga.mil | Emil Rofors Wei Zhang Chris Mungall Nicola Falco Sylvain Fiolleau Michael Mahoney Oscar Antepara Talita Perciano Costa Leite Alexandre Bayen Marta Gonzalez Drew Paine C. Anna Spurlock Mark Bandstra Satyarth Praveen Florian Soom Yuan Mei Gregory Lemieux David Alumbaugh Craig Ulrich Akito Kusaka Roland Burgmann Oliver Gessner Houjun Tang Tanny Andrea Chavez Esparza Daniel Feldman Annette Greiner Gazi Mahmud Sophie Morley Josh North Victor Negut Anna Giannakou Matthew Henderson Cynthia Gerlein-Safdi Yuankun Xu | Foundational GEOINT | Advanced Phenomenologies | Analytic Technologies |
| Commercial Solutions Opening (CSO) |
DLA/DCSO-P5 |
Combined Synopsis/Solicitation |
[Analyzed from API Fallback] The Defense Logistics Agency (DLA) is utilizing a Commercial Solutions Opening (CSO) framework from 2026 to 2031 to solicit innovative commercial solutions for its mission... |
2031-10-01T09:00:00 ET |
|
|
N/A |
AI Summary | Collaboration Graph |
Commercial Solutions Opening (CSO) | DLA/DCSO-P5 | SP4701-27-S-C001 | N/A | | [Analyzed from API Fallback] The Defense Logistics Agency (DLA) is utilizing a Commercial Solutions Opening (CSO) framework from 2026 to 2031 to solicit innovative commercial solutions for its mission requirements. This is a rolling submission process where DLA will publish specific Areas of Interest (AOIs). Interested offerors are to submit a streamlined 'Solution Brief' which will be technically evaluated based on feasibility, importance to agency programs, and viability. Selected briefs may lead to a pitch, a full proposal request, or direct negotiations for a fixed-price award. The primary award vehicle is an Other Transaction (OT) Agreement for prototype projects, which upon successful completion, may lead to a non-competitive follow-on production contract. Alternatively, DLA may use a standard FAR-based commercial contract. The process emphasizes agility and collaboration to rapidly adapt commercial technology for defense logistics. | Thomas.Walsh@dla.mil | Emil Rofors Wei Zhang Chris Mungall Nicola Falco Sylvain Fiolleau Michael Mahoney Oscar Antepara Talita Perciano Costa Leite Marta Gonzalez Drew Paine Satyarth Praveen Florian Soom Yuan Mei Gregory Lemieux David Alumbaugh Craig Ulrich Akito Kusaka Oliver Gessner Roland Burgmann Tanny Andrea Chavez Esparza Daniel Feldman Annette Greiner Sophie Morley Josh North Anna Giannakou Matthew Henderson Cynthia Gerlein-Safdi Yuankun Xu |
| Broad Agency Announcement (BAA) for Naval Warfare and Weapons at NAWCWD, China Lake, CA. |
NAVAIR/NAWCWD |
Special Notice |
The Naval Air Warfare Center Weapons Division (NAWCWD) at China Lake, CA, has issued a Broad Agency Announcement (BAA N6893626R5014) open until September 30, 2027, soliciting proposals for basic resea... |
2027-09-30T17:00:00 ET |
Advanced Aerospace PropulsionNaval Aviation TechnologyInsensitive Munitions DevelopmentEnergetic Materials ResearchAdvanced Combustion ScienceHigh-Energy Dense OxidizersHigh-Speed Weapon SystemsBatteries & Power SystemsEnhanced Weapon SystemsHigh-Density Reactive Materials |
Aerospace Propulsion and Vehicle TechnologiesEnergetic Materials and MunitionsAdvanced Weapon Systems and Power |
BSACSAESAETA |
AI Summary | Collaboration Graph |
Broad Agency Announcement (BAA) for Naval Warfare and Weapons at NAWCWD, China Lake, CA. | NAVAIR/NAWCWD | N6893626R5014 | BSA, CSA, ESA, ETA | Advanced Aerospace Propulsion | Naval Aviation Technology | Insensitive Munitions Development | Energetic Materials Research | Advanced Combustion Science | High-Energy Dense Oxidizers | High-Speed Weapon Systems | Batteries & Power Systems | Enhanced Weapon Systems | High-Density Reactive Materials | The Naval Air Warfare Center Weapons Division (NAWCWD) at China Lake, CA, has issued a Broad Agency Announcement (BAA N6893626R5014) open until September 30, 2027, soliciting proposals for basic research, applied research, and advanced technology development to improve Navy and Marine Corps operations. Key technical areas of interest include aerospace science (advanced propulsion, energetic materials, high-speed weapons, batteries/power systems) and air warfare applications (enhanced weapons systems, future naval capabilities, high-density reactive materials). All responsible sources from academia and industry are eligible to submit proposals, with teaming arrangements encouraged. FFRDCs and other government labs are not eligible to receive awards directly but may participate as team members. The submission process encourages a preliminary 'White Paper' before a full proposal. Awards may be issued as contracts, cooperative agreements, or Other Transaction Agreements (OTAs), and will be evaluated based on technical merit, naval relevance, offeror capabilities, and cost realism. | Ephraim Washburn | Olivia Gunther Didier Perrodin Claire Tomlin Francesco Ricci Michael Tucker Alexandre Chorin Daniel Gerber Matthew Zahr Kenny Higa Vi Rapp Alexandre Bayen Meirong Zeng Zachary Needell Kristin Persson Neil Razdan Haegyum Kim Ravi Prasher Simo Makiharju Ettore Zanetti Harold Barnard Aaron Lattanzi Eric Masanet Xianglei Mao Masao Suzuki Shibata Xiong Peng Anne Pham Qin Yu Daniel Arnold | Aerospace Propulsion and Vehicle Technologies | Energetic Materials and Munitions | Advanced Weapon Systems and Power |
| The Science, Mathematics and Research for Transformation (SMART) Scholarship for Service Program Cooperative Agreement |
Under Secretary of War for Research and Engineering/Science & Technology Foundations Office |
Cooperative Agreement |
The Department of War (DoW) is offering a single, ten-year Cooperative Agreement (CA) with a maximum value of $1.3 billion to an entity to partner in the implementation and execution of the Science, M... |
2026-12-03T00:00:00 ET |
Information Systems ManagementAgile Software DevelopmentSecure Web Portal DevelopmentData Analytics and ReportingLongitudinal Program EvaluationInformation Systems SecuritySecure Cloud Infrastructure (FedRAMP)Aeronautical and Mechanical EngineeringComputer Science and EngineeringData Science and Operations ResearchElectrical and Nuclear EngineeringMaterials Science and ChemistryBiosciences and Biomedical EngineeringNaval Architecture and OceanographyCognitive and Behavioral Sciences |
Program Management and AdministrationData Management, Analysis, and ReportingStrategic Communications and MarketingScholar Payments and Financial ManagementIndependent Program Evaluation |
BSACSAEESAETALDOperations |
AI Summary | Collaboration Graph |
The Science, Mathematics and Research for Transformation (SMART) Scholarship for Service Program Cooperative Agreement | Under Secretary of War for Research and Engineering/Science & Technology Foundations Office | W911NF-27-R-A001 | BSA, CSA, EESA, ETA, LD, Operations | Information Systems Management | Agile Software Development | Secure Web Portal Development | Data Analytics and Reporting | Longitudinal Program Evaluation | Information Systems Security | Secure Cloud Infrastructure (FedRAMP) | Aeronautical and Mechanical Engineering | Computer Science and Engineering | Data Science and Operations Research | Electrical and Nuclear Engineering | Materials Science and Chemistry | Biosciences and Biomedical Engineering | Naval Architecture and Oceanography | Cognitive and Behavioral Sciences | The Department of War (DoW) is offering a single, ten-year Cooperative Agreement (CA) with a maximum value of $1.3 billion to an entity to partner in the implementation and execution of the Science, Mathematics and Research for Transformation (SMART) Scholarship-for-Service Program. This program provides scholarships to undergraduate and graduate students in 22 critical STEM disciplines in exchange for a post-graduation service commitment as a DoW civilian employee. The selected recipient will be responsible for five fundamental elements in collaboration with the government: 1) Program Management and Administration, including the entire scholar lifecycle from application through post-service tracking; 2) Data Management, Analysis, and Reporting, centered on maintaining and enhancing the SMART Information Management System (SIMS) on a FedRAMP High/Impact Level 4 platform; 3) Strategic Communications and Marketing to promote the program nationally; 4) Scholar Payments and Expenses, involving the disbursement of tuition, stipends, and other allowances projected at $60M-$100M annually; and 5) Independent Program Evaluation to assess program impact and identify growth opportunities. A significant portion of the budget, no less than 82-87% of the total annual award, must be dedicated to direct scholarship costs. Proposals will be evaluated on technical plan, management, past performance, credentials, and cost, with an emphasis on the feasibility of the implementation plan. | charlotte.a.george.4.civ@mail.mil | Seth Carbon Alexander Sim Neil Mehta Shankar Earni Patty Angus Cory Snavely Carl Blumstein Juan Pablo Carvallo Jason Lowe-Power Louis-Benoit Desroches Devarshi Ghoshal Tiffany Connors Zixi Hu Steven Hofmeyr Rory Schmick Nica Campbell Christian Schmid Peter Cappers Zachary Needell Sydny Fujita Natalie Baillargeon Drew Paine Alan Sanstad Kristin Persson Grace Lau Kristina S. H. LaCommare Qin Yu Rafael Zamora-Resendiz Cees De Laat Sean Peisert Eric O'Shaughnessy Laleh Cote' Hannah Parrilla Jingjing Zhang Gregory Lemieux Stefan Lasiewski Arpit Gupta Kripa Jagannathan Laura Crosby Nicholas Tyler Eric Masanet Robi Nilson Jing Ke Maximilian Auffhammer Galen Barbose Thomas Hendrickson Edward Vine Anna Giannakou Philippe Butler Dianna LaFerry Oluwamayowa Amusat Piotr Zarzycki | Program Management and Administration | Data Management, Analysis, and Reporting | Strategic Communications and Marketing | Scholar Payments and Financial Management | Independent Program Evaluation |
| REQUEST FOR INFORMATION – PACIFIC GREENFIELD INITIATIVE (ADVANCED MANUFACTURING AND INDUSTRIAL RESILIENCE OPPORTUNITY ON OAHU, HI) |
Department of the Navy |
Sources Sought |
The Department of the Navy (DON) has issued a Request for Information (RFI) for its 'Pacific Greenfield' initiative, which seeks to establish advanced manufacturing (AM) capabilities on Oahu, Hawaii. ... |
2026-11-10T17:00:00 ET |
|
|
N/A |
AI Summary | Collaboration Graph |
REQUEST FOR INFORMATION – PACIFIC GREENFIELD INITIATIVE (ADVANCED MANUFACTURING AND INDUSTRIAL RESILIENCE OPPORTUNITY ON OAHU, HI) | Department of the Navy | RFI-PGI-20260929 | N/A | | The Department of the Navy (DON) has issued a Request for Information (RFI) for its 'Pacific Greenfield' initiative, which seeks to establish advanced manufacturing (AM) capabilities on Oahu, Hawaii. The primary objective is to create theater-scale production to reduce reliance on long-lead supply chains from the continental U.S. The DON is gathering industry feedback on site requirements, infrastructure, utilities, and various acquisition models, including Enhanced Use Leases (EULs), Other Transaction Authorities (OTAs), and joint ventures. The initiative emphasizes environmentally resilient, industrial-scale facilities with modern manufacturing footprints that will also strengthen Hawaii's local workforce and economy. This RFI is for informational purposes only and is not a solicitation for proposals. | N/A | Seth Carbon Alexander Sim Neil Mehta Shankar Earni Patty Angus Cory Snavely Carl Blumstein Juan Pablo Carvallo Jason Lowe-Power Louis-Benoit Desroches Devarshi Ghoshal Tiffany Connors Zixi Hu Rory Schmick Nica Campbell Christian Schmid Peter Cappers Zachary Needell Sydny Fujita Natalie Baillargeon Drew Paine Alan Sanstad Kristina S. H. LaCommare Eric O'Shaughnessy Sean Peisert Cees De Laat Laleh Cote' Jingjing Zhang Gregory Lemieux Stefan Lasiewski Arpit Gupta Laura Crosby Nicholas Tyler Eric Masanet Robi Nilson Jing Ke Maximilian Auffhammer Galen Barbose Thomas Hendrickson Edward Vine Philippe Butler Dianna LaFerry Kripa Jagannathan |
| F26AS00023 FY2026 Prescott Marine Mammal Rescue and Response Grant Program |
U.S. Fish and Wildlife Service |
Cooperative Agreement |
The U.S. Fish and Wildlife Service (FWS) announces the FY2026 John H. Prescott Marine Mammal Rescue and Response Grant Program, providing financial assistance to support stranded marine mammals under ... |
2026-11-30T00:00:00 ET |
Marine Mammal Veterinary CareStranding and Entanglement ResponseMarine Mammal NecropsyTissue Sampling and AnalysisPathogen and Toxin TestingMarine Mammal Health AssessmentPost-Release Survival MonitoringSatellite TelemetryMortality Source InvestigationHarmful Algal Bloom (HAB) AnalysisOil Spill Response PlanningAnimal Husbandry and RehabilitationPopulation Genetics AnalysisHabitat Use Analysis |
Stranding Response, Rescue, and RehabilitationScientific Investigation and Health AssessmentNetwork Capacity Building and OperationsThreat Analysis and Mitigation |
BSACSAEESAESAETAOperationsPSA |
AI Summary | Collaboration Graph |
F26AS00023 FY2026 Prescott Marine Mammal Rescue and Response Grant Program | U.S. Fish and Wildlife Service | F26AS00023 | BSA, CSA, EESA, ESA, ETA, Operations, PSA | Marine Mammal Veterinary Care | Stranding and Entanglement Response | Marine Mammal Necropsy | Tissue Sampling and Analysis | Pathogen and Toxin Testing | Marine Mammal Health Assessment | Post-Release Survival Monitoring | Satellite Telemetry | Mortality Source Investigation | Harmful Algal Bloom (HAB) Analysis | Oil Spill Response Planning | Animal Husbandry and Rehabilitation | Population Genetics Analysis | Habitat Use Analysis | The U.S. Fish and Wildlife Service (FWS) announces the FY2026 John H. Prescott Marine Mammal Rescue and Response Grant Program, providing financial assistance to support stranded marine mammals under the Department of the Interior's authority, which includes West Indian manatees, sea otters, Pacific walruses, and polar bears. With an estimated total of $2,350,000 available for approximately 21 awards, the program has an award ceiling of $150,000 per 12-month period for up to three years. Eligible activities encompass (A) recovery, care, or treatment of sick, injured, or entangled mammals; (B) emergency response to strandings; (C) scientific data and sample collection from stranded animals; (D) related facility operating costs; and (E) developing stranding network capacity. Eligible applicants are U.S. marine mammal stranding network participants or collaborators, including state/local/tribal governments, non-profits, and educational institutions, who hold required authorizations under the Marine Mammal Protection Act (MMPA) and Endangered Species Act (ESA), if applicable. A minimum non-Federal cost share of 25% of total project costs is mandatory. Projects must address specific funding priorities outlined for each species and region. New construction is not eligible, but facility build-outs, alterations, and upgrades are considered. | Anita_Harrington@fws.gov | Sang Hoon Lee Michiko Taga Luca Iliesiu Shankar Earni James Watkins Erhan Saglamyurek Carl Blumstein Alex Newkirk Daniel Stolper Zixi Hu Rory Schmick Michelle O'Malley Marta Gonzalez Natalie Baillargeon Cristian Poliziani Amelie Gaudin Kristina S. H. LaCommare Anna Spiers Evan Williams Li-Wen (Audrey) Wang Samuel Fernandes Ehud Altman Markus Bill Yun Song Michelle Newcomer Timothy Hackmann W. Stephen Chan Kameshwar Poolla Laura Crosby Wenming Dong Mingqin Shao Reijo Keskitalo Abby Dernburg Kristie Boering Josh North Robi Nilson Michael Zaletel Thomas Hendrickson Abigayle Hodson Jeetika Malik Oskar Hallatschek Cynthia Gerlein-Safdi Ashley Brereton Zachary Jones Daniel Arnold | Stranding Response, Rescue, and Rehabilitation | Scientific Investigation and Health Assessment | Network Capacity Building and Operations | Threat Analysis and Mitigation |
| Request for Information: Multi-Source PNT UE |
Space Force |
Presolicitation |
[Analyzed from API Fallback] The U.S. Space Force has issued a Request for Information (RFI) for market research on industry capabilities for Multi-Source Position, Navigation, and Timing User Equipme... |
2026-11-16T14:00:00 ET |
Position, Navigation, and Timing (PNT)Multi-Source PNT IntegrationResilient PNT SystemsNavigation Warfare (NAVWAR)GPS Signal ProcessingM-Code Signal IntegrationAnti-Jamming & Anti-SpoofingPNT in Denied EnvironmentsModular Open Systems Architecture (MOSA)Onboard Data Fusion EnginesSatellite Navigation (SATNAV) ArchitecturePNT User Equipment DesignSpace Service Volume PNTSupply Chain Risk Management (SCRM)Force Design Systems Analysis |
Multi-Platform PNT User Equipment IntegrationModular Open Architecture and Signal FusionResilient PNT and Navigation Warfare (NAVWAR) |
CSAETAPSA |
AI Summary | Collaboration Graph |
Request for Information: Multi-Source PNT UE | Space Force | MultiSourcePNT_RFI_01 | CSA, ETA, PSA | Position, Navigation, and Timing (PNT) | Multi-Source PNT Integration | Resilient PNT Systems | Navigation Warfare (NAVWAR) | GPS Signal Processing | M-Code Signal Integration | Anti-Jamming & Anti-Spoofing | PNT in Denied Environments | Modular Open Systems Architecture (MOSA) | Onboard Data Fusion Engines | Satellite Navigation (SATNAV) Architecture | PNT User Equipment Design | Space Service Volume PNT | Supply Chain Risk Management (SCRM) | Force Design Systems Analysis | [Analyzed from API Fallback] The U.S. Space Force has issued a Request for Information (RFI) for market research on industry capabilities for Multi-Source Position, Navigation, and Timing User Equipment (PNT UE). The goal is to enhance Navigation Warfare (NAVWAR) resilience for the Joint Force in contested environments by developing user equipment that integrates diverse PNT sources (e.g., M-Code, commercial signals) via an onboard fusion engine. The RFI seeks information on solutions for both terrestrial and space-based platforms, specifying a requirement for a Modular Open System Architecture (MOSA). A major emphasis is placed on security, requiring respondents to demonstrate their capabilities and compliance regarding facility/personnel security clearances, cybersecurity standards (DFARS, NIST SP 800-171, CMMC), and Supply Chain Risk Management (SCRM), including NDAA Section 889. Information gathered will inform future acquisition strategies and support analyses by the Space Warfighting Analysis Center (SWAC). | hanna.wardell@spaceforce.mil | Emil Rofors Dipak Ghosal Cory Snavely Jason Lowe-Power Tiffany Connors Sukhpreet Kaur Prabal Dutta Steven Hofmeyr Alexandre Bayen Nica Campbell Angelos Ioannou Marta Gonzalez Han Lee Bruce Nordman Sean Peisert Stefan Lasiewski Kameshwar Poolla Eric Masanet Zhi Jackie Yao Stijn (Stan) Wielandt Thomas Hendrickson Hannah Cohoon Victor Negut Horst Simon Panagiotis Zarkos Jeetika Malik Abdelilah Essiari Scott Beamer Daniel Arnold | Multi-Platform PNT User Equipment Integration | Modular Open Architecture and Signal Fusion | Resilient PNT and Navigation Warfare (NAVWAR) |
| ISOF Range 2027 |
USSOCOM/PM-SL |
Special Notice |
U.S. Special Operations Command (USSOCOM) is issuing a Request for Information (RFI) for technology demonstrations at the International Special Operations Forces (ISOF) Range 2027 event, scheduled for... |
2027-01-29T17:00:00 ET |
Weapon Suppressor DesignVisual & Thermal Signature ReductionAdvanced Ammunition DevelopmentVisual Augmentation Systems (VAS)Infrared Imaging TechnologiesNext Generation Night VisionLaser Targeting & DesignationRemote Breaching TechnologiesShoulder Launched MunitionsUnmanned Lethal Strike SystemsCounter Unmanned Aircraft Systems (CUAS)Crew Served Weapon ModernizationDigital Fire Control SystemsGPS-Denied Navigation & Communications |
Advanced Small Arms and AmmunitionVisual Augmentation and Sensor Systems (VAS)Unmanned and Counter-Unmanned SystemsCrew-Served Weapons, Munitions, and Breaching |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
ISOF Range 2027 | USSOCOM/PM-SL | SOFRange2027 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Weapon Suppressor Design | Visual & Thermal Signature Reduction | Advanced Ammunition Development | Visual Augmentation Systems (VAS) | Infrared Imaging Technologies | Next Generation Night Vision | Laser Targeting & Designation | Remote Breaching Technologies | Shoulder Launched Munitions | Unmanned Lethal Strike Systems | Counter Unmanned Aircraft Systems (CUAS) | Crew Served Weapon Modernization | Digital Fire Control Systems | GPS-Denied Navigation & Communications | U.S. Special Operations Command (USSOCOM) is issuing a Request for Information (RFI) for technology demonstrations at the International Special Operations Forces (ISOF) Range 2027 event, scheduled for April 13-14, 2027, at the Nevada Test and Training Range. This event is a market research opportunity for vendors to showcase innovative lethality technologies to SOF end-users, developers, and international partners. Key technology categories of interest include: Weapons, Visual Augmentation Systems (VAS), Demolitions/Breaching, Ammunition, Shoulder Launched Munitions, Unmanned Lethal Strike Systems (ULLS), Counter-UAS (CUAS), and Crew Served Weapons, primarily at a Technology Readiness Level (TRL) of 7 or higher. Interested parties must submit a technology application via the event website, with deadlines on October 30, 2026, and January 29, 2027. This is not a solicitation for proposals, and the government will not award contracts or pay for participation based on this RFI. | marvin.marcia@socom.mil | Emil Rofors Didier Perrodin Claire Tomlin Minok Park Jacob C. Jonsson Antoine Islegen-Wojdyla Mauricio Ayllon Unzueta Mario Cromaz Dipak Ghosal Igor Jovanovic Jeremy Munday Steve Virostek Dongwoo Paeng Damon Todd Najm Us Saqib Alexandre Bayen Zachary Needell Holger Mueller Han Lee Hans Bechtel Peter Tennessen Kristin Persson Nicholas Wenner Baishakhi Bose Linqing Luo Mark Bandstra Ravi Prasher Mengjie Yu Yuan Mei Brett Helms Russell Wilcox Houjun Tang Eric Masanet Zhi Jackie Yao Stijn (Stan) Wielandt Victor Negut Xianglei Mao Donghun Kim Luisa Gonzalez Piotr Zarzycki | Advanced Small Arms and Ammunition | Visual Augmentation and Sensor Systems (VAS) | Unmanned and Counter-Unmanned Systems | Crew-Served Weapons, Munitions, and Breaching |
| Atomically Precise Molecules (APM) |
DARPA/MXO |
Solicitation |
The DARPA Atomically Precise Molecules (APM) program seeks to fund the development of innovative synthesis techniques for creating programmable precision polymers (PPPs) with exact control over monome... |
2026-12-18T13:00:00 ET |
Polymer Synthesis TechniquesNonlinear Optical (NLO) MaterialsProgrammable Precision PolymersSequence-Controlled PolymerizationComputational Materials DesignMultiscale Modeling & SimulationMolecular Dynamics SimulationComputational Chemistry (DFT)Molecular Self-AssemblyElectro-Optic Device IntegrationOptical Performance MeasurementAdvanced Materials CharacterizationMaterial Production ScalingFoundry Process Integration |
Programmable Precision Polymer SynthesisComputational Materials Design and SimulationNonlinear Optical (NLO) Material DevelopmentScalable Manufacturing and Device Integration |
BSACSAESAETAPSA· Electro-Optic Materials |
AI Summary | Collaboration Graph |
Atomically Precise Molecules (APM) | DARPA/MXO | DARPA-PS-26-141 | BSA, CSA, ESA, ETA, PSA, · Electro-Optic Materials | Polymer Synthesis Techniques | Nonlinear Optical (NLO) Materials | Programmable Precision Polymers | Sequence-Controlled Polymerization | Computational Materials Design | Multiscale Modeling & Simulation | Molecular Dynamics Simulation | Computational Chemistry (DFT) | Molecular Self-Assembly | Electro-Optic Device Integration | Optical Performance Measurement | Advanced Materials Characterization | Material Production Scaling | Foundry Process Integration | The DARPA Atomically Precise Molecules (APM) program seeks to fund the development of innovative synthesis techniques for creating programmable precision polymers (PPPs) with exact control over monomer sequence, orientation, and composition. The primary application is to produce revolutionary nonlinear optical (NLO) materials for use in technologies like LiDAR and optical communications. This 36-month, two-phase program requires performers to first develop and demonstrate a PPP synthesis capability resulting in an NLO material that meets state-of-the-art performance (Phase I, 12 months). Subsequently, performers will optimize these synthesis methods to create a revolutionary NLO material with significantly enhanced properties (e.g., n3r33 ≥ 8000 pm/V) and integrate it into a government-provided electro-optic modulator for final demonstration (Phase II, 24 months). The program emphasizes the use of computational modeling to guide synthesis and material design, and it requires a clear path to scalability and integration into manufacturing processes. Performance will be validated by an independent government team. The solicitation excludes proposals focused solely on inorganic materials or incremental improvements to existing technologies. | APM@darpa.mil | Beihang Yu Amartya Banerjee Francesco Ricci Lisa Claus Didier Perrodin John Hartwig Chang Dou Mohammad Kaazem Pur Mofrad Jeremy Munday Kelly Kissock Andrew Minor Eric Schaible Brooks Abel Mauro Del Ben Yi Liu Alex Newkirk John Terning Marina Radulaski Yizhi Shen Lane Martin Kin Yu Kristin Persson F. Dean Toste Mengjie Yu Jeremy Demarteau Harold Barnard Ishan Srivastava Thomas Russell Stephen Whitelam Oliver Gessner Brett Helms Eric Masanet Robert Bergman Stephanie Gilbert Corder Arian Gashi Ahmad Omar Aurelie Champagne Panagiotis Zarkos Ian Lacey | Programmable Precision Polymer Synthesis | Computational Materials Design and Simulation | Nonlinear Optical (NLO) Material Development | Scalable Manufacturing and Device Integration |
| Aircraft Defensive Electro-optical Protection Technologies (ADEPT) |
AFRL/RF |
Solicitation |
This federal contract, issued by the Air Force Research Laboratory (AFRL) under solicitation FA237726RB011, is for the Aircraft Defensive Electro-optical Protection Technologies (ADEPT) program. The o... |
2026-11-09T12:00:00 ET |
Electro-Optical (EO) CountermeasuresDirected Energy SystemsExpendable Countermeasure TechnologiesNovel Countermeasure DevelopmentAircraft Defensive SystemsThreat Hardware AnalysisExecutable Threat AnalysisAdvanced Countermeasure EngineeringElectro-Optical Spectrum AnalysisMulti-mode EO/RF SystemsRadio Frequency (RF) EngineeringSystem Experimentation and EvaluationDefensive Hardware DevelopmentDefensive Software Development |
Hardware & Executable Analysis of Threats (HEAT)Advanced Countermeasure Engineering (ACE) |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
Aircraft Defensive Electro-optical Protection Technologies (ADEPT) | AFRL/RF | FA2377-26-R-B011 | BSA, CSA, ESA, ETA, PSA | Electro-Optical (EO) Countermeasures | Directed Energy Systems | Expendable Countermeasure Technologies | Novel Countermeasure Development | Aircraft Defensive Systems | Threat Hardware Analysis | Executable Threat Analysis | Advanced Countermeasure Engineering | Electro-Optical Spectrum Analysis | Multi-mode EO/RF Systems | Radio Frequency (RF) Engineering | System Experimentation and Evaluation | Defensive Hardware Development | Defensive Software Development | This federal contract, issued by the Air Force Research Laboratory (AFRL) under solicitation FA237726RB011, is for the Aircraft Defensive Electro-optical Protection Technologies (ADEPT) program. The objective is to research and develop pre-emptive or reactive countermeasure solutions—including expendable, directed energy, and other novel developmental solutions in the electro-optical (UV, visible, infrared) spectrum—to protect U.S. aircraft and aircrew in contested environments. The program is divided into two technical areas: 'Hardware & Executable Analysis of Threats (HEAT)' and 'Advanced Countermeasure Engineering (ACE)'. The effort is structured as a Cost-Plus-Fixed-Fee (CPFF) Indefinite Delivery Indefinite Quantity (IDIQ) contract with an 84-month period of performance. Key deliverables include experimentation and assessment reports, all developed hardware, and all developed software, including source code. | Lesley Breitzman | Claire Tomlin Junze Zhou Antoine Islegen-Wojdyla Dongwoo Paeng Louis-Benoit Desroches Tiffany Connors Vern Paxson Anastasiia Butko Steven Hofmeyr Koushik Sen Angelos Ioannou Zachary Needell Han Lee Peter Tennessen Abhi Rajagopala Bruce Nordman Mengjie Yu Cameron Geddes Kameshwar Poolla Russell Wilcox Eric Masanet Stephanie Gilbert Corder Stijn (Stan) Wielandt Victor Negut Luisa Gonzalez | Hardware & Executable Analysis of Threats (HEAT) | Advanced Countermeasure Engineering (ACE) |
| Intrinsic Market Resilience (IMR) |
DARPA/IPTO |
Solicitation |
The Intrinsic Market Resilience (IMR) program aims to develop methods to protect essential economic sectors from attacks that exploit the public interfaces of modern digital markets. The program's goa... |
2026-12-07T14:00:00 ET |
Economic Market ModelingLarge Language Model (LLM) AutomationFormal Methods for MarketsMachine-Analyzable Model GenerationResilience Conjecture FormulationAutomated Conjecture AnalysisComplex Systems AnalysisState Space Explosion MitigationAutomated Conjecture RefinementAutomated Market Repair RecommendationHolistic Impact AnalysisTest and Evaluation FrameworksModel Weakness SeedingModel and Repair Validation |
Market Modeling and Resilience AnalysisAutomated Market Repair and Conjecture RefinementTest, Evaluation, and Validation Framework |
BSACSAEESAESAETA |
AI Summary | Collaboration Graph |
Intrinsic Market Resilience (IMR) | DARPA/IPTO | DARPA-PS-26-138 | BSA, CSA, EESA, ESA, ETA | Economic Market Modeling | Large Language Model (LLM) Automation | Formal Methods for Markets | Machine-Analyzable Model Generation | Resilience Conjecture Formulation | Automated Conjecture Analysis | Complex Systems Analysis | State Space Explosion Mitigation | Automated Conjecture Refinement | Automated Market Repair Recommendation | Holistic Impact Analysis | Test and Evaluation Frameworks | Model Weakness Seeding | Model and Repair Validation | The Intrinsic Market Resilience (IMR) program aims to develop methods to protect essential economic sectors from attacks that exploit the public interfaces of modern digital markets. The program's goal is to counter adversaries seeking to cause disruption, rather than just profit. The technical approach involves creating a prototype capability to automatically model market designs, identify hidden weaknesses, and recommend repairs. This will be achieved by using Large Language Models (LLMs) and other automation to translate informal market descriptions (e.g., regulatory filings) into formal, machine-analyzable models. Against these models, the program will formulate and assess "resilience conjectures"—mathematical statements about desirable market properties. If a conjecture is disproven, the system will generate a counterexample illustrating a specific weakness, which will then be used to refine the conjecture and recommend validated repairs. The program is divided into three Technical Areas (TAs): TA1 (Modeling and Analysis), TA2 (Resiliency and Repair), and TA3 (Test and Evaluation), which will independently validate the work of TA1 and TA2. | IMR@darpa.mil | Stefan M. Wild Sam Murthy Eric Chagnon Xiaoye Sherry Li Steven Hofmeyr Alexandre Bayen Koushik Sen Myles Collins Zachary Needell Holger Mueller Pengcheng Xie Alan Sanstad Minliang Yang C. Anna Spurlock Eric O'Shaughnessy Rafael Zamora-Resendiz Naïm Darghouth Gregory Lemieux Ryan Knox Kameshwar Poolla Eric Masanet Maximilian Auffhammer Thomas Hendrickson Doru Adrian Thom Popovici Ian Lacey Matthew Henderson | Market Modeling and Resilience Analysis | Automated Market Repair and Conjecture Refinement | Test, Evaluation, and Validation Framework |
| Fox Tail |
DARPA/DSO |
Solicitation |
The Defense Advanced Research Projects Agency (DARPA) is soliciting proposals for the 'Fox Tail' program, a classified (SECRET level) effort to develop innovative theoretical and computational models ... |
2027-01-29T16:00:00 ET |
Extreme-Scale HydrodynamicsHigh Amplitude Wave PropagationVery High Reynolds Number FlowsAbrupt Phase ChangesTheoretical Modeling ApproachesComputational Modeling ApproachesFirst Principles-Based ClosuresFluid Motion Governing LawsAnomalous Thermo-fluid-dynamicsThermodynamically Consistent ClosuresLocal Thermodynamic Non-EquilibriumDisturbance Energy BudgetsPhase Transformation Modeling |
Extreme-Scale Hydrodynamic Phenomena ModelingFirst-Principles Computational and Theoretical ApproachesAdvanced Thermodynamics and Phase Change Physics |
CSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Fox Tail | DARPA/DSO | DARPA-PS-26-136 | CSA, EESA, ESA, ETA, PSA | Extreme-Scale Hydrodynamics | High Amplitude Wave Propagation | Very High Reynolds Number Flows | Abrupt Phase Changes | Theoretical Modeling Approaches | Computational Modeling Approaches | First Principles-Based Closures | Fluid Motion Governing Laws | Anomalous Thermo-fluid-dynamics | Thermodynamically Consistent Closures | Local Thermodynamic Non-Equilibrium | Disturbance Energy Budgets | Phase Transformation Modeling | The Defense Advanced Research Projects Agency (DARPA) is soliciting proposals for the 'Fox Tail' program, a classified (SECRET level) effort to develop innovative theoretical and computational models for extreme-scale hydrodynamics. The program seeks to advance the understanding and prediction of phenomena such as high amplitude wave propagation, very high Reynolds number flows, and abrupt phase changes, particularly in seawater. Research should focus on first principles-based approaches to create thermodynamically consistent closures for fluid motion laws under these extreme conditions, including potential local thermodynamic non-equilibrium (LTNE) effects. The 18-month program anticipates multiple awards in the form of Other Transaction (OT) Agreements for Prototypes. Critical details regarding metrics, schedule, and proposal submission are contained in a classified addendum. | FoxTail@darpa.mil | Francesco Ricci Suncica Canic Alexandre Chorin Mahesh Natarajan Steven Louie Xiaoye Sherry Li Matthew Zahr Kevin G Knauss Bingqing Cheng Erich Strohmaier Louis-Benoit Desroches Zixi Hu Oscar Antepara Steven Pride Tarek Zohdi Suren Byna Alice Koniges Pramod Bhuvankar Jingjing Zhang Simo Makiharju David Alumbaugh Yuxin Wu Aaron Lattanzi W. Stephen Chan John Bell Reijo Keskitalo Ahmad Omar Per-Olof Persson Scott Mccormack Vojtech Vlcek Piotr Zarzycki | Extreme-Scale Hydrodynamic Phenomena Modeling | First-Principles Computational and Theoretical Approaches | Advanced Thermodynamics and Phase Change Physics |
| Deployed Warfighter Protection FY27 |
Defense Health Program/AFPMB |
Grant |
The Deployed Warfighter Protection (DWFP) Program is soliciting proposals under Broad Agency Announcement AFPMB-BAA-27-01 for innovative, product-oriented advanced technology development (TRL 4-6) to ... |
2027-03-17T00:00:00 ET |
Insecticide Formulation DevelopmentNovel Insecticide ResearchArthropod Personal ProtectionVector Control TechnologiesPesticide Application EquipmentArthropod Bite PreventionVector Surveillance TechnologiesVector Pathogen DiagnosticsPredictive Modeling SoftwareEntomological Product TestingField Evaluation MethodologiesGood Laboratory Practice (GLP) StudiesRegulatory Science (EPA/FIFRA) |
Key Research Areas |
N/A |
AI Summary | Collaboration Graph |
Deployed Warfighter Protection FY27 | Defense Health Program/AFPMB | AFPMB-BAA-27-01 | N/A | Insecticide Formulation Development | Novel Insecticide Research | Arthropod Personal Protection | Vector Control Technologies | Pesticide Application Equipment | Arthropod Bite Prevention | Vector Surveillance Technologies | Vector Pathogen Diagnostics | Predictive Modeling Software | Entomological Product Testing | Field Evaluation Methodologies | Good Laboratory Practice (GLP) Studies | Regulatory Science (EPA/FIFRA) | The Deployed Warfighter Protection (DWFP) Program is soliciting proposals under Broad Agency Announcement AFPMB-BAA-27-01 for innovative, product-oriented advanced technology development (TRL 4-6) to protect military personnel from disease-carrying and nuisance arthropods. The program prioritizes research in two main focus areas: Bite Prevention (new personal protection tools) and Vector Control (new insecticides, formulations, or application techniques). Research into decision support tools, vector surveillance, or pathogen diagnostics is not a high priority. The program will not fund basic research, vector pathogen research, human clinical trials, or EPA registration costs. Awards will be grants or cooperative agreements with a maximum budget of $975,000 over a 36-month period. Eligible applicants are U.S.-based organizations, and submission is a two-step process requiring a pre-application followed by an invited full application. | help@eBRAP.org | Seth Carbon Claire Tomlin Li-Wen (Audrey) Wang Sukhpreet Kaur Edward Vine Gregory Lemieux Thomas McKone Marcin Joachimiak Zachary Needell Alan Meier | Key Research Areas |
| Propulsion and Power of Naval Air Vehicles (FY27 BAA) |
NAVAIR/NAWCAD |
Combined Synopsis/Solicitation |
[Analyzed from API Fallback] The Naval Air Warfare Center Aircraft Division (NAWCAD) seeks White Papers for its Fiscal Year 2027 Broad Agency Announcement (BAA) focused on the research and development... |
2027-09-30T03:00:00 ET |
|
|
N/A |
AI Summary | Collaboration Graph |
Propulsion and Power of Naval Air Vehicles (FY27 BAA) | NAVAIR/NAWCAD | N0042126S0002 | N/A | | [Analyzed from API Fallback] The Naval Air Warfare Center Aircraft Division (NAWCAD) seeks White Papers for its Fiscal Year 2027 Broad Agency Announcement (BAA) focused on the research and development of Propulsion and Power systems for Naval Air Vehicles. This is a two-step solicitation, starting with White Papers (due September 30, 2027), followed by an invitation-only formal proposal submission for successful offerors. Proposals will be evaluated primarily on their scientific/technical merits and potential contributions to the Navy. The government anticipates awarding Cost-Plus-Fixed-Fee (CPFF), Cost-Sharing, or Cost type contracts. The overall objective is to foster advancements in naval aviation propulsion and power technology as detailed in the 'Guide to Naval Aviation Propulsion and Power Technology Development Programs for Fiscal Year 2027'. | stacey.l.stone9.civ@us.navy.mil | |
| BROAD AGENCY ANNOUNCEMENT - BIOMEDICAL RESEARCH AND DIVING EQUIPMENT DEVELOPMENT |
NAVSEA |
Solicitation |
[Analyzed from API Fallback] The Naval Sea Systems Command (NAVSEA) is soliciting proposals under Broad Agency Announcement (BAA) N00024-27-S-0001 for applied research and development in biomedical an... |
2027-11-30T15:00:00 ET |
Biomedical Research for DiversCO2 Scrubbing TechnologyDiver Breathing Gas SystemsUnderwater Gas Sensor DevelopmentHyperbaric Human PerformanceOxygen Toxicity MitigationDiver Thermal Protection SystemsContaminated Water Diving ProtectionDecompression Sickness ModelingUnderwater Acoustic ProtectionUnderwater Communication and TrackingSubmarine Atmosphere AssessmentSubmarine Rescue DecompressionHyperthermia and Heat Stress MitigationSubmarine Rescue Casualty Care |
Diver Physiology and Biomedical InterventionsAdvanced Diving Systems and EquipmentSubmarine Escape, Rescue, and Survivability |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
BROAD AGENCY ANNOUNCEMENT - BIOMEDICAL RESEARCH AND DIVING EQUIPMENT DEVELOPMENT | NAVSEA | N0002427S0001 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Biomedical Research for Divers | CO2 Scrubbing Technology | Diver Breathing Gas Systems | Underwater Gas Sensor Development | Hyperbaric Human Performance | Oxygen Toxicity Mitigation | Diver Thermal Protection Systems | Contaminated Water Diving Protection | Decompression Sickness Modeling | Underwater Acoustic Protection | Underwater Communication and Tracking | Submarine Atmosphere Assessment | Submarine Rescue Decompression | Hyperthermia and Heat Stress Mitigation | Submarine Rescue Casualty Care | [Analyzed from API Fallback] The Naval Sea Systems Command (NAVSEA) is soliciting proposals under Broad Agency Announcement (BAA) N00024-27-S-0001 for applied research and development in biomedical and diving equipment. The primary objectives are to enhance Diver Health, Safety, and Performance; advance Deep Diving capabilities; and improve Submarine Escape and Rescue. Key technical areas for diving include breathing gas systems (CO2 scrubbing, O2/CO2 sensors, high-pressure flasks), human performance (oxygen toxicity, hypercapnia, underwater acoustics), environmental protection (thermal, contamination), decompression models, and diver tools (communications, tracking, propulsion). For submarine rescue, the focus is on assessing disabled submarine atmospheres, mitigating oxygen toxicity, accelerating decompression, managing physiological stress (thermal, dehydration), and improving casualty care. The BAA has a two-year open period for FY28 and FY29 funding cycles, with a two-phase submission process starting with a pre-proposal. Projects typically span two years, with historical annual funding around $300K, though this is not a strict limit. | lisa.m.grayum.civ@us.navy.mil | Francesco Ricci Margaret Busse Peter Therkelsen Philip Long Mohammad Kaazem Pur Mofrad Ronald Cohen Andrew Doran Mark Alper Jacob Hilzinger Tae Hwan Lim Zixi Hu Julia dos Santos Maia Correa Yi-Chuan Lu Steven Hofmeyr Amy Kronenberg Zachary Needell Peter Tennessen Kristin Persson Zachary Jones Linqing Luo Ravi Prasher Simo Makiharju Gerard Marriott Jamie Inman Aaron Lattanzi Alan Meier Eric Masanet Karthik Shekhar Kevin Fan Kristie Boering Stijn (Stan) Wielandt Panagiotis Zarkos Preston Jordan John Conboy Donghun Kim Piotr Zarzycki | Diver Physiology and Biomedical Interventions | Advanced Diving Systems and Equipment | Submarine Escape, Rescue, and Survivability |
| Defense Logistics Information Research (DLIR) BAA |
DLA/Research and Development (R&D) Program Office |
Combined Synopsis/Solicitation |
The Defense Logistics Agency (DLA) seeks innovative Research and Development (R&D) proposals through the Defense Logistics Information Research (DLIR) Broad Agency Announcement (BAA) SP4701-26-B-0004.... |
2031-09-16T17:00:00 ET |
Industrial Base ResilienceAI-Enabled Manufacturing CapacitySupplier Capability MappingAutomated Source QualificationAdvanced ManufacturingPublic-Private Partnership FrameworksSecure Technical Data ExchangeStandardized Data FormatsCircular Economy CapabilitiesAI-Driven Material IdentificationAutomated Material ClassificationDigital Twin Organization (DTO)Mission Process ModelingPredictive AnalyticsHuman-Machine Teaming |
Industrial Base Resilience, Surge, and Manufacturing CapabilityPublic-Private Partnerships for Surge and SustainmentCircular Economy and Resource RecoveryDigital Twin of the Organization (DTO) for Enterprise Transformation |
BSACSAEESAESAETAOperations |
AI Summary | Collaboration Graph |
Defense Logistics Information Research (DLIR) BAA | DLA/Research and Development (R&D) Program Office | SP4701-26-B-0004 | BSA, CSA, EESA, ESA, ETA, Operations | Industrial Base Resilience | AI-Enabled Manufacturing Capacity | Supplier Capability Mapping | Automated Source Qualification | Advanced Manufacturing | Public-Private Partnership Frameworks | Secure Technical Data Exchange | Standardized Data Formats | Circular Economy Capabilities | AI-Driven Material Identification | Automated Material Classification | Digital Twin Organization (DTO) | Mission Process Modeling | Predictive Analytics | Human-Machine Teaming | The Defense Logistics Agency (DLA) seeks innovative Research and Development (R&D) proposals through the Defense Logistics Information Research (DLIR) Broad Agency Announcement (BAA) SP4701-26-B-0004. This is a five-year initiative with a $50 million ceiling, open until September 16, 2031, aiming to strengthen industrial base resilience, improve readiness, and transition DLA to Industry 4.0/5.0 standards. The process starts with an 8-page white paper; if interest is shown, a full technical and cost proposal will be requested for potential award of cost-type IDIQ or definitive contracts. Key technical areas of interest are: 1) Industrial Base Resilience, Surge, and Manufacturing Capability; 2) Public-Private Partnerships for Surge and Sustainment; 3) Circular Economy and Resource Recovery; and 4) Digital Twin of the Organization (DTO) for Enterprise Transformation. All proposals must include a detailed transition plan for operational use within DLA. Evaluation criteria focus on technical feasibility, viability, desirability, and past performance, alongside a cost realism analysis. | Latoya.Monroe@dla.mil | Prakash Rao Seth Carbon Minok Park Francesco Ricci Alexander Sim Kevin Cruse Margaret Busse Sam Murthy Nihan Karali Alex Newkirk Heidi Fuchs Michael Mahoney Talita Perciano Costa Leite Steven Hofmeyr Nica Campbell Koushik Sen Valerie Skye Unique Karki Sean Murphy Cristian Poliziani Kristin Persson Galina Ovchinnikova Sean Peisert Samuel Fernandes Satyarth Praveen Gregory Lemieux Alexander Hexemer Laura Crosby Tanny Andrea Chavez Esparza Nawa Raj Baral Thomas Hendrickson Hannah Cohoon Anna Giannakou Jeetika Malik Sunhee Baik Abdelilah Essiari | Industrial Base Resilience, Surge, and Manufacturing Capability | Public-Private Partnerships for Surge and Sustainment | Circular Economy and Resource Recovery | Digital Twin of the Organization (DTO) for Enterprise Transformation |
| Firefox |
DARPA |
Solicitation |
The DARPA Firefox program aims to advance a non-invasive coherent optical system for recording human neural signals into a revolutionary Brain-Computer Interface (BCI). This Federal Contract, structur... |
2026-11-09T15:00:00 ET |
Non-invasive NeuroimagingCoherent Optical SystemsNeural Signal RecordingBrain-Computer Interfaces (BCI)Dynamic Optical ScanningOptical Rastering ComponentsHigh-Rate Data ProcessingNovel Data Processing ArchitecturesAnalog Domain ProcessingHigh-Resolution Imaging SystemsNeural Data Analysis |
Dynamic Optical Signal Steering for Neural TargetingAdvanced Data Processing for High-Bandwidth Neural Signals |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
Firefox | DARPA | DARPA-PS-26-137 | BSA, CSA, ESA, ETA, PSA | Non-invasive Neuroimaging | Coherent Optical Systems | Neural Signal Recording | Brain-Computer Interfaces (BCI) | Dynamic Optical Scanning | Optical Rastering Components | High-Rate Data Processing | Novel Data Processing Architectures | Analog Domain Processing | High-Resolution Imaging Systems | Neural Data Analysis | The DARPA Firefox program aims to advance a non-invasive coherent optical system for recording human neural signals into a revolutionary Brain-Computer Interface (BCI). This Federal Contract, structured as an Other Transaction (OT) for a prototype, solicits approaches to overcome two primary technical challenges: 1) the development of components for dynamic scanning of the optical signal to target multiple brain regions, and 2) the creation of new data processing architectures beyond the digital domain to handle high data rates. The program's ultimate objective is to develop a 100-channel, non-invasive BCI achieving 50-micron spatial and 100-microsecond temporal resolution. | N/A | Junze Zhou Costas P. Grigoropoulos Kenneth Goldberg Antoine Islegen-Wojdyla Christoph Kirst Weilun Chao Jason Lowe-Power John Wu Marina Radulaski Dan Wang Angelos Ioannou Walan Grizolli Suren Byna Dilip Vasudevan Eleanor Zizka Jean Luca Bez Mengjie Yu Bernhard Luttgenau Houjun Tang Karthik Shekhar Kevin Fan Senajith Rekawa Venkatesh Akella Panagiotis Zarkos Luisa Gonzalez | Dynamic Optical Signal Steering for Neural Targeting | Advanced Data Processing for High-Bandwidth Neural Signals |
| Resilient Ultra Short Pulsed Laser Sources - RFI |
DARPA/MXO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) Multi X Office (MXO) has issued a Request for Information (RFI) to gather insights on the development of compact, rugged, and fieldable millijoule... |
2026-11-20T17:00:00 ET |
Ultra-Short Pulsed Lasers (USPL)Ruggedized Laser SystemsMode-Locked Laser StabilityIntegrated PhotonicsChip-Scale Mode-Locked LasersHigh Energy Pulse AmplificationDoped Waveguide TechnologyIntegrated Titanium-Sapphire LasersFiber-Based Laser ArchitecturesTunable Laser ParametersLaser Waveform GenerationVibration and Thermal CompensationOptical Frequency Comb Shaping |
Compact and Rugged Millijoule-Class USPL System DesignEnvironmental Resilience and Performance MaintenanceBroad Parameter Tunability in Ruggedized USPLs |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
Resilient Ultra Short Pulsed Laser Sources - RFI | DARPA/MXO | DARPA-SN-26-124 | BSA, CSA, ESA, ETA, PSA | Ultra-Short Pulsed Lasers (USPL) | Ruggedized Laser Systems | Mode-Locked Laser Stability | Integrated Photonics | Chip-Scale Mode-Locked Lasers | High Energy Pulse Amplification | Doped Waveguide Technology | Integrated Titanium-Sapphire Lasers | Fiber-Based Laser Architectures | Tunable Laser Parameters | Laser Waveform Generation | Vibration and Thermal Compensation | Optical Frequency Comb Shaping | The Defense Advanced Research Projects Agency (DARPA) Multi X Office (MXO) has issued a Request for Information (RFI) to gather insights on the development of compact, rugged, and fieldable millijoule-class ultra-short pulsed laser (USPL) sources. DARPA is interested in innovative system architectures, including chip-scale and fiber-based approaches, that can achieve sub-picosecond pulses with energies ranging from microjoules to millijoules and repetition rates from tens of kilohertz to gigahertz. Key areas of inquiry include methods to maintain stable mode-locking under significant environmental stressors like vibration and thermal transients (per MIL-STD-810H), and strategies for enabling broad, real-time tunability of laser parameters such as wavelength, pulse energy, repetition rate, and pulse shape within a ruggedized form factor. The information gathered will be used to inform future DARPA research programs and performance targets. | Error: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'Resource exhausted. Please try again later. Please refer to https://cloud.google.com/vertex-ai/generative-ai/docs/error-code-429 for more details.', 'status': 'RESOURCE_EXHAUSTED'}} | Alessio Amodio Francesco Ricci Claire Tomlin Olga Shapoval Antoine Islegen-Wojdyla Jeroen van Tilborg Hao Ding Dongwoo Paeng Hai-En Tsai Marina Radulaski Lane Martin Grant Cutler Steven Hofmeyr Henry Willem Fanting Kong Angelos Ioannou Kin Yu Nicholas Wenner Abhi Rajagopala Philip Haves Philip Mallon Csaba Toth Arnaud Allézy Tong Zhou Ravi Prasher Mengjie Yu Russell Wilcox Ellie Tubman | Compact and Rugged Millijoule-Class USPL System Design | Environmental Resilience and Performance Maintenance | Broad Parameter Tunability in Ruggedized USPLs |
| Presolicitation Notice - Resilient Missile Warning and Tracking (RMWT) Low Earth Orbit (LEO) Ground Entry Points (GEPs) |
USAF |
Presolicitation |
[Analyzed from API Fallback] The U.S. Government requires a contractor to provide comprehensive engineering, integration, testing, and operational support for the terrestrial communications and ground... |
N/A |
|
|
N/A |
AI Summary | Collaboration Graph |
Presolicitation Notice - Resilient Missile Warning and Tracking (RMWT) Low Earth Orbit (LEO) Ground Entry Points (GEPs) | USAF | FA240126R0006 | N/A | | [Analyzed from API Fallback] The U.S. Government requires a contractor to provide comprehensive engineering, integration, testing, and operational support for the terrestrial communications and ground segment of the Proliferated Warfighter Space Architecture (PWSA). The scope includes end-to-end lifecycle support for new and existing Ground Entry Point (GEP) facilities, necessitating collaboration with various stakeholders, space vehicle vendors, and mission partners. | N/A | Alessio Amodio Francesco Ricci Claire Tomlin Olga Shapoval Antoine Islegen-Wojdyla Jeroen van Tilborg Marina Radulaski Lane Martin Grant Cutler Steven Hofmeyr Henry Willem Fanting Kong Angelos Ioannou Kin Yu Nicholas Wenner Abhi Rajagopala Philip Haves Philip Mallon Csaba Toth Arnaud Allézy Ravi Prasher Mengjie Yu Russell Wilcox Ellie Tubman |
| TTO Office-Wide Solicitation 2026 |
DARPA/TTO |
Solicitation |
The Defense Advanced Research Projects Agency's (DARPA) Tactical Technology Office (TTO) has released an Office-Wide Solicitation (DARPA-PS-26-123) seeking revolutionary research proposals to develop ... |
2027-06-17T16:00:00 ET |
New Naval PlatformsNew Aerospace PlatformsNovel Propulsion TechnologiesAdvanced Autonomy SystemsAdvanced Munitions DevelopmentRevolutionary Systems DevelopmentNovel Weapon Systems |
Novel Naval and Aerospace PlatformsAdvanced Propulsion TechnologiesAdvanced AutonomyAdvanced Munitions |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
TTO Office-Wide Solicitation 2026 | DARPA/TTO | DARPA-PS-26-123 | BSA, CSA, EESA, ESA, ETA, PSA | New Naval Platforms | New Aerospace Platforms | Novel Propulsion Technologies | Advanced Autonomy Systems | Advanced Munitions Development | Revolutionary Systems Development | Novel Weapon Systems | The Defense Advanced Research Projects Agency's (DARPA) Tactical Technology Office (TTO) has released an Office-Wide Solicitation (DARPA-PS-26-123) seeking revolutionary research proposals to develop new classes of platforms and weapons that provide decisive U.S. military advantages. The focus is on creating innovative, not evolutionary, advancements in areas including new naval and aerospace platforms, novel propulsion technologies, advanced autonomy, and advanced munitions. The acquisition strategy involves a required abstract submission, followed by an invitation-only full proposal submission. Proposals are evaluated primarily on Overall Scientific and Technical Merit and Potential Contribution to the DARPA Mission, with Cost Realism as a third criterion. Key requirements for proposers include compliance with export control laws (ITAR/EAR) and meeting Cybersecurity Maturity Model Certification (CMMC) Level 2 for handling Controlled Unclassified Information (CUI). Awards will be issued as Other Transaction (OT) agreements. | DARPA-PS-26-123@darpa.mil | Emil Rofors Marco Salathe Didier Perrodin Claire Tomlin Alessio Amodio Alexandre Chorin Mohammad Kaazem Pur Mofrad Yukumo Tanaka Jeremy Smith Nirmalendu Patra Bingqing Cheng Michael Mahoney Zahid Hussain Lane Martin Talita Perciano Costa Leite Steven Hofmeyr Vi Rapp Alexandre Bayen Zachary Needell Revathi Jambunathan Thomas Schenkel Satyarth Praveen Yuan Mei Simo Makiharju Aaron Lattanzi Kameshwar Poolla Eric Masanet Michael Sohn Jayson Vavrek Nawa Raj Baral Victor Negut Anna Giannakou Abigayle Hodson Xiong Peng Harshini Mukundan Meirong Zeng | Novel Naval and Aerospace Platforms | Advanced Propulsion Technologies | Advanced Autonomy | Advanced Munitions |
| Defense Sciences Office (DSO) Office-wide BAA |
DARPA/DSO |
Cooperative Agreement |
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is soliciting proposals under Broad Agency Announcement (BAA) HR001126S0015 for innovative research that enables rev... |
2027-08-27T00:00:00 ET |
Advanced Materials ScienceFlexible Manufacturing SystemsAdvanced Propulsion TechnologyEnergy Systems ResearchAdvanced Sensing and MeasurementAdvanced Communication SystemsNovel Control SystemsQuantum Computing ResearchNovel Computing ArchitecturesAdvanced Processing AlgorithmsApplied Mathematics ResearchComplex Adaptive SystemsHuman-AI EcosystemsArtificial Intelligence ResearchRevolutionary Scientific Methods |
Materials, Manufacturing, and Energy SystemsSensing, Measuring, and AffectingMath, Computation, and ProcessingComplex, Dynamic, and Intelligent Systems |
BSACSAEESAESAETAPSA· Acoustics |
AI Summary | Collaboration Graph |
Defense Sciences Office (DSO) Office-wide BAA | DARPA/DSO | HR001126S0015 | BSA, CSA, EESA, ESA, ETA, PSA, · Acoustics | Advanced Materials Science | Flexible Manufacturing Systems | Advanced Propulsion Technology | Energy Systems Research | Advanced Sensing and Measurement | Advanced Communication Systems | Novel Control Systems | Quantum Computing Research | Novel Computing Architectures | Advanced Processing Algorithms | Applied Mathematics Research | Complex Adaptive Systems | Human-AI Ecosystems | Artificial Intelligence Research | Revolutionary Scientific Methods | The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is soliciting proposals under Broad Agency Announcement (BAA) HR001126S0015 for innovative research that enables revolutionary advances in science, devices, or systems for national security. The BAA specifically excludes projects that offer only evolutionary improvements. While open to novel ideas, proposals are encouraged within four key technical thrust areas: (1) Materials, Manufacturing, and Energy Systems; (2) Sensing, Measuring, and Affecting; (3) Math, Computation, and Processing; and (4) Complex, Dynamic, and Intelligent Systems. A mandatory pre-proposal phase requires submission of an executive summary or abstract for DARPA review before a full proposal can be submitted. Submissions are accepted on a rolling basis until August 27, 2027. Anticipated awards include Cooperative Agreements, Procurement Contracts, and Other Transactions. The BAA includes provisions for an accelerated award option for proposals under $2M, a DSO Fundamental Defense Research Talent Award (FDRTA) option for university primes, and specific Cybersecurity Maturity Model Certification (CMMC) requirements. Federally Funded Research and Development Centers (FFRDCs), University Affiliated Research Centers (UARCs), and Government Entities are ineligible to propose. | HR001126S0015@darpa.mil | Minok Park Claire Tomlin Francesco Ricci Bin Wang Jeremy Smith Mark Alper Nirmalendu Patra Alexandre Moreira da Silva Ran Cheng Jason Lowe-Power Michael Mahoney Prabal Dutta Talita Perciano Costa Leite Steven Hofmeyr Alexandre Bayen Angelos Ioannou Kin Yu Samveg Saxena Costin Iancu Drew Paine Kristin Persson Peter Tennessen Neil Razdan Dilip Vasudevan Samuel Fernandes Satyarth Praveen Jingjing Zhang Ravi Prasher Mengjie Yu Yuan Mei Harish Bhat Jamie Inman Kameshwar Poolla Zhi Jackie Yao Stijn (Stan) Wielandt Anna Giannakou Per-Olof Persson Anthony Ciavarella Abdelilah Essiari Zachary Jones Ashok Ajoy | Materials, Manufacturing, and Energy Systems | Sensing, Measuring, and Affecting | Math, Computation, and Processing | Complex, Dynamic, and Intelligent Systems |
| DoW Breast Cancer, Clinical Research Extension Award |
DHA |
Grant |
[Analyzed from API Fallback] The Fiscal Year 2026 (FY26) Breast Cancer Research Program (BCRP) Clinical Research Extension Award supports extending the data collection, follow-up, and analysis of exis... |
2026-11-18T00:00:00 ET |
Breast Cancer ResearchClinical Research StudiesClinical Trial AnalysisLongitudinal Data CollectionPatient Follow-up AnalysisClinical Data AnalysisBiostatistical AnalysisBiological Sample CollectionBiological Sample AnalysisOncology Clinical ResearchHealth Outcomes Research |
Extending and Enhancing Breast Cancer Clinical Studies |
BSACSA· Breast Cancer Research |
AI Summary | Collaboration Graph |
DoW Breast Cancer, Clinical Research Extension Award | DHA | HT942526BCRPCREA2 | BSA, CSA, · Breast Cancer Research | Breast Cancer Research | Clinical Research Studies | Clinical Trial Analysis | Longitudinal Data Collection | Patient Follow-up Analysis | Clinical Data Analysis | Biostatistical Analysis | Biological Sample Collection | Biological Sample Analysis | Oncology Clinical Research | Health Outcomes Research | [Analyzed from API Fallback] The Fiscal Year 2026 (FY26) Breast Cancer Research Program (BCRP) Clinical Research Extension Award supports extending the data collection, follow-up, and analysis of existing breast cancer clinical studies. The award's purpose is to maximize the clinical impact from patient participation in studies, particularly those that were terminated early, had limited follow-up, or featured suboptimal data collection. Applications are required to address one of the FY26 BCRP overarching challenges. A distinctive feature is the mandatory inclusion of two or more breast cancer consumer advocates on the research team. The award allows for either a single Principal Investigator (PI) or a Partnering PI option. | N/A | Amy Herr Wenming Dong Hyun-Ro Lee Zhong Wang Antoine Snijders Michael Mahoney James Garbe Zixi Hu Georgios Pavlopoulos Justin Reese Jennifer Rosenbluth Christopher Petzold Morgan Price Steven Hofmeyr Andrew Tritt Dawn Chiniquy Zachary Jones | Extending and Enhancing Breast Cancer Clinical Studies |
| DoW Breast Cancer, Breakthrough Award Levels 1 and 2 |
Department of Defense/BCRP |
Grant |
[Analyzed from API Fallback] The Fiscal Year 2026 (FY26) Breast Cancer Research Program (BCRP) Breakthrough Award supports high-impact research for breakthroughs in breast cancer. This specific announ... |
2026-11-18T00:00:00 ET |
Breast Cancer BiologyCancer Genetics and GenomicsTumor Microenvironment ResearchCancer ImmunologyTherapeutic DevelopmentTreatment Resistance MechanismsBiomarker Discovery and ValidationTranslational Cancer ResearchPopulation Science StudiesCancer EpidemiologyHealth Disparities ResearchComputational Biology and BioinformaticsClinical Research DesignAdvanced Cancer Imaging |
|
N/A |
AI Summary | Collaboration Graph |
DoW Breast Cancer, Breakthrough Award Levels 1 and 2 | Department of Defense/BCRP | HT942526BCRPBTA122 | N/A | Breast Cancer Biology | Cancer Genetics and Genomics | Tumor Microenvironment Research | Cancer Immunology | Therapeutic Development | Treatment Resistance Mechanisms | Biomarker Discovery and Validation | Translational Cancer Research | Population Science Studies | Cancer Epidemiology | Health Disparities Research | Computational Biology and Bioinformatics | Clinical Research Design | Advanced Cancer Imaging | [Analyzed from API Fallback] The Fiscal Year 2026 (FY26) Breast Cancer Research Program (BCRP) Breakthrough Award supports high-impact research for breakthroughs in breast cancer. This specific announcement covers Level 1 and Level 2 funding. Level 2 offers a Population Science Studies option, which may allow for higher funding and an extended period of performance. Applications must address an FY26 BCRP overarching challenge and can be submitted by a single Principal Investigator (PI) or through a Partnering PI Option (PPIO) with two PIs. | N/A | Antoine Snijders Zhong Wang Sharon Greenblum Michael Mahoney James Garbe Chris Mungall Jinyi Qi Georgios Pavlopoulos Justin Reese Zixi Hu Jennifer Rosenbluth Yun Song Steven Hofmeyr Andrew Tritt Jian-Hua Mao Javier Caravaca Rodriguez |
| Simulator Collection for Atomic to Continuum Scales (SCACS) |
DOE |
Special Notice |
The Simulator Collection for Atomic to Continuum Scales (SCACS) is an AI-driven, multiscale simulation platform developed by Los Alamos National Laboratory to accelerate the design and deployment of a... |
2027-02-15T19:00:00 ET |
Multiscale Simulation PlatformsPhysics-Informed Machine LearningGraph Neural NetworksFinite Element AnalysisComputational Materials ScienceThermal Transport ModelingElectrical Transport ModelingAtomistic SimulationsMolecular DynamicsContinuum Mechanics ModelsHigh-Performance ComputingAnisotropic Material PropertiesFirst-Principles CalculationsCoarse-Graining Methods |
AI-Accelerated Multiscale Materials ModelingSpatially-Resolved Thermal and Electrical Transport PhysicsIntegration with Finite Element Analysis (FEA) Workflows |
CSAEESAESAPSA |
AI Summary | Collaboration Graph |
Simulator Collection for Atomic to Continuum Scales (SCACS) | DOE | S-196281 | CSA, EESA, ESA, PSA | Multiscale Simulation Platforms | Physics-Informed Machine Learning | Graph Neural Networks | Finite Element Analysis | Computational Materials Science | Thermal Transport Modeling | Electrical Transport Modeling | Atomistic Simulations | Molecular Dynamics | Continuum Mechanics Models | High-Performance Computing | Anisotropic Material Properties | First-Principles Calculations | Coarse-Graining Methods | The Simulator Collection for Atomic to Continuum Scales (SCACS) is an AI-driven, multiscale simulation platform developed by Los Alamos National Laboratory to accelerate the design and deployment of advanced materials. It bridges the gap between high-fidelity atomic-scale physics and engineering-scale continuum models by using graph neural networks trained on proprietary methods (SPTC-AI for thermal and SPEC-AI for electronic conductivity). SCACS decomposes a material's conductivity into per-atom contributions, allowing it to predict spatially varying and direction-dependent heat and electricity flow across large, million-atom systems. This enables engineers to identify potential failure points like hot-spots and accurately model the impact of microstructural defects. The platform significantly reduces simulation times from days to minutes and integrates with standard finite element solvers, providing a physics-grounded tool for industries such as semiconductors, fusion energy, and aerospace to improve product reliability and shorten development cycles. | licensing@lanl.gov | Michael Pettes Francesco Ricci Lisa Claus Jeremy Smith Nirmalendu Patra Ben Erichson Bingqing Cheng Michael Mahoney Zahid Hussain Talita Perciano Costa Leite Tarek Zohdi Koushik Sen Angelos Ioannou Kunhwi Kim Yuanran Zhu Costin Iancu Chris Dames Kristin Persson Nobumichi Tamura Ehud Altman Gregory Lemieux Ishan Srivastava Hans Wenk Ann Almgren Zhi Jackie Yao Ahmad Omar Aurelie Champagne Anna Giannakou Per-Olof Persson Daniel Murnane Jean Sexton Piotr Zarzycki | AI-Accelerated Multiscale Materials Modeling | Spatially-Resolved Thermal and Electrical Transport Physics | Integration with Finite Element Analysis (FEA) Workflows |
| Military Unique Sustainment Technology III (MUST III) Research and Development SP4701-26-B-0001 |
DLA/Research and Development |
Solicitation |
The Defense Logistics Agency (DLA) is seeking research and development (R&D) partners for the Military Unique Sustainment Technology III (MUST III) program, a Department of Defense Manufacturing Techn... |
2030-12-02T17:00:00 ET |
Digital Twin & Thread TechnologiesModel-Based Systems EngineeringArtificial Intelligence / Machine LearningPredictive Analytics & SimulationAdvanced Manufacturing TechniquesAutomated Production & RoboticsNovel Materials & TextilesAdvanced Wearable TechnologiesPoint-of-Need ManufacturingDigital Technical Data ManagementProduct Lifecycle Management Systems3D Knitting TechnologyAugmented Reality ApplicationsIT Architecture & Cybersecurity |
Digital Authoritative Source for Clothing and EquipmentSupply Chain Resilience for Clothing and Individual EquipmentInnovation in Clothing and Individual Equipment |
CSAEESAESAETA |
AI Summary | Collaboration Graph |
Military Unique Sustainment Technology III (MUST III) Research and Development SP4701-26-B-0001 | DLA/Research and Development | SP470126B0001_ | CSA, EESA, ESA, ETA | Digital Twin & Thread Technologies | Model-Based Systems Engineering | Artificial Intelligence / Machine Learning | Predictive Analytics & Simulation | Advanced Manufacturing Techniques | Automated Production & Robotics | Novel Materials & Textiles | Advanced Wearable Technologies | Point-of-Need Manufacturing | Digital Technical Data Management | Product Lifecycle Management Systems | 3D Knitting Technology | Augmented Reality Applications | IT Architecture & Cybersecurity | The Defense Logistics Agency (DLA) is seeking research and development (R&D) partners for the Military Unique Sustainment Technology III (MUST III) program, a Department of Defense Manufacturing Technology initiative. The program aims to leverage commercial advancements in the clothing and textile industry, such as Industry 4.0/5.0 technologies, to modernize the design, engineering, and manufacturing of military Clothing and Individual Equipment (CIE). With a total planned investment of up to $50 million over five years, the BAA solicits proposals for short-term R&D projects (typically 3-24 months) across three primary technical areas of equal priority: 1) establishing 'Digital as an authoritative source' for product data through digital twins and model-based engineering; 2) enhancing 'Supply chain resilience' via adaptive manufacturing, predictive analytics, and surge readiness strategies; and 3) fostering 'Innovation in clothing and individual equipment' by exploring novel materials, advanced wearables, and automated production methods like 3D knitting. The government intends to award cost-type Indefinite Delivery, Indefinite Quantity (IDIQ) contracts to form a collaborative working group, as well as standalone project contracts, to enable rapid prototyping, scalable production, and cost-effective solutions for military textile applications. | Andrea.Nicolucci@dla.mil | Prakash Rao Alexander Sim Francesco Ricci Minok Park Deborah Agarwal Kelly Kissock Alex Newkirk Devarshi Ghoshal Michael Mahoney Prabal Dutta Lane Martin Ronald Pandolfi Talita Perciano Costa Leite Kenny Higa Steven Hofmeyr Nica Campbell Angelos Ioannou Zachary Needell Unique Karki Cristian Poliziani Kristin Persson Arnur Nigmetov Samuel Fernandes Satyarth Praveen Gregory Lemieux Amol Phadke Alan Meier Ting Xu Gazi Mahmud Thomas Hendrickson Anna Giannakou | Digital Authoritative Source for Clothing and Equipment | Supply Chain Resilience for Clothing and Individual Equipment | Innovation in Clothing and Individual Equipment |
| Broad Agency Announcement (BAA) C4ISR, Information Operations, Cyberspace Operations and Information Technology System Research, Cryogenics and Quantum |
Department of the Navy/NIWC Pacific |
Solicitation |
[Analyzed from API Fallback] The Naval Information Warfare Center, Pacific (NIWC Pacific) is issuing a Broad Agency Announcement (BAA) to solicit white papers and proposals for research into unique an... |
2027-08-12T20:00:00 ET |
C4ISR CapabilitiesCommand and Control SystemsCommunications TechnologiesIntelligence Data AnalysisSurveillance and ReconnaissanceInformation OperationsCyberspace OperationsCybersecurity ResearchInformation Technology SystemsSystem IntegrationCryogenics ResearchQuantum TechnologiesNext-Generation Command Suites |
Advanced C4ISR CapabilitiesInformation and Cyberspace OperationsInformation Technology Systems ResearchCryogenics and Quantum Research |
CSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Broad Agency Announcement (BAA) C4ISR, Information Operations, Cyberspace Operations and Information Technology System Research, Cryogenics and Quantum | Department of the Navy/NIWC Pacific | N6600126S4701 | CSA, EESA, ESA, ETA, PSA | C4ISR Capabilities | Command and Control Systems | Communications Technologies | Intelligence Data Analysis | Surveillance and Reconnaissance | Information Operations | Cyberspace Operations | Cybersecurity Research | Information Technology Systems | System Integration | Cryogenics Research | Quantum Technologies | Next-Generation Command Suites | [Analyzed from API Fallback] The Naval Information Warfare Center, Pacific (NIWC Pacific) is issuing a Broad Agency Announcement (BAA) to solicit white papers and proposals for research into unique and innovative approaches for next-generation C4ISR capabilities. Key technical areas include the advancement of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR), as well as enabling technologies for Information Operations, Cyberspace Operations, and Information Technology systems. The government intends to award procurement contracts, grants, cooperative agreements, or other transactions to develop these next-generation integratable C4ISR capabilities and command suites. | N/A | Emil Rofors Claire Tomlin Francesco Ricci Jose Luis Rudeiros Fernandez Erhan Saglamyurek Dipak Ghosal Cory Snavely Jason Lowe-Power Tiffany Connors Michael Mahoney Prabal Dutta Dan Gunter Vern Paxson Talita Perciano Costa Leite Steven Hofmeyr Alexandre Bayen Koushik Sen Angelos Ioannou Rich Wolski Han Lee Costin Iancu Kristin Persson Cees De Laat Arpit Gupta Gregory Lemieux Mengjie Yu Reed Teyber Cynthia Regnier Frances Hellman Michael Sohn Ravi Naik Stijn (Stan) Wielandt Victor Negut Anna Giannakou Bruce Mah Georgios Michelogiannakis Anthony Ciavarella Abdelilah Essiari Ashok Ajoy Luisa Gonzalez | Advanced C4ISR Capabilities | Information and Cyberspace Operations | Information Technology Systems Research | Cryogenics and Quantum Research |
| DLA Battery Network IV (BATTNET) Broad Agency Announcement |
DLA/J68 |
Combined Synopsis/Solicitation |
The Defense Logistics Agency (DLA) has issued Broad Agency Announcement (BAA) SP4701-26-B-0006 for the fourth iteration of its Battery Network (BATTNET) program. The program aims to improve Department... |
2031-08-09T14:00:00 ET |
Automated Battery ManufacturingAutomated Battery TestingBattery Component FabricationDesign for ManufacturabilityBattery Design OptimizationBattery Manufacturing ProcessesProcess Quality ControlProcess Qualification & ValidationAlternative Battery ChemistriesManufacturing Readiness MaturationCommercial Technology AdaptationModular Battery SystemsBattery Electronics DesignBattery Shelf-Life ExtensionBattery Materials Science |
Advanced Manufacturing and Process InnovationSupply Chain Resilience and ManagementTechnology Integration and Standardization |
BSACSAEESAESAETALDOperationsPSA |
AI Summary | Collaboration Graph |
DLA Battery Network IV (BATTNET) Broad Agency Announcement | DLA/J68 | SP470126B0006 | BSA, CSA, EESA, ESA, ETA, LD, Operations, PSA | Automated Battery Manufacturing | Automated Battery Testing | Battery Component Fabrication | Design for Manufacturability | Battery Design Optimization | Battery Manufacturing Processes | Process Quality Control | Process Qualification & Validation | Alternative Battery Chemistries | Manufacturing Readiness Maturation | Commercial Technology Adaptation | Modular Battery Systems | Battery Electronics Design | Battery Shelf-Life Extension | Battery Materials Science | The Defense Logistics Agency (DLA) has issued Broad Agency Announcement (BAA) SP4701-26-B-0006 for the fourth iteration of its Battery Network (BATTNET) program. The program aims to improve Department of Defense (DoD) battery logistics by leveraging advanced manufacturing technologies to enhance the U.S. industrial base. The BAA seeks innovative research and development solutions to increase battery performance, quality, safety, and shelf life, while reducing costs and lead times. The announcement outlines a three-step submission process, beginning with a mandatory white paper. Promising white papers may lead to a request for a full technical and cost proposal. The BAA has a total ceiling of $25 million over five years (FY2026-2031), with individual project awards ranging from 6 to 24 months and not exceeding $2 million. Key areas of interest include manufacturing and automation, design for manufacturability, process improvements, alternative supplies, domestic supply chain enhancements, commercial technology transfer, battery standardization, and supply chain management. Technical proposals will be evaluated on scientific merit, viability, desirability, and past performance, while cost proposals will be analyzed for realism. | Michelle.Harrison@dla.mil | Prakash Rao Daniel Gerber Alexandre Moreira da Silva Ramkrishna Singh Amy Herr Jhanis Jose Gonzalez Alex Newkirk Dylan Bauer Kenny Higa Vincent Battaglia Koushik Sen Nica Campbell Muhammad Ihsan Ul Haq Stephen Harris Unique Karki Angelos Ioannou Cristian Poliziani Peter Tennessen Bruce Nordman Scott Moura Haegyum Kim Hang Chen Ravi Prasher Amol Phadke Gregory Lemieux Meriam Gay Bautista-Jurney Cynthia Regnier Laura Crosby Eric Masanet Nawa Raj Baral Thomas Hendrickson Harshini Mukundan Zachary Jones Daniel Arnold | Advanced Manufacturing and Process Innovation | Supply Chain Resilience and Management | Technology Integration and Standardization |
| ERIS Shopping Notice: Distributed Decentralized Control & Estimation |
DARPA/IPTO |
Special Notice |
The Defense Advanced Research Projects Agency's (DARPA) Information Processing Techniques Office (IPTO) is seeking innovative solutions via the ERIS Marketplace for decentralized, distributed, and hor... |
2027-07-31T17:00:00 ET |
Distributed Decentralized ControlHeterogeneous Agent CollaborationModeling and SimulationSoftware-Defined SystemsResilient Autonomy FrameworksOptimization-Based ControlSystems and Control TheoryInformation Theoretic ApproachesEdge Computing and ProcessingScalable Autonomy ArchitecturesDistributed Tracking and FusionUnmanned Systems AutonomySatellite Constellation ManagementLightweight Algorithm Design |
Decentralized Control and Autonomy FrameworksScalable and Efficient Edge ComputingAdvanced Distributed Sensing and Collaboration |
BSACSAETAPSA |
AI Summary | Collaboration Graph |
ERIS Shopping Notice: Distributed Decentralized Control & Estimation | DARPA/IPTO | DARPA-SN-26-101 | BSA, CSA, ETA, PSA | Distributed Decentralized Control | Heterogeneous Agent Collaboration | Modeling and Simulation | Software-Defined Systems | Resilient Autonomy Frameworks | Optimization-Based Control | Systems and Control Theory | Information Theoretic Approaches | Edge Computing and Processing | Scalable Autonomy Architectures | Distributed Tracking and Fusion | Unmanned Systems Autonomy | Satellite Constellation Management | Lightweight Algorithm Design | The Defense Advanced Research Projects Agency's (DARPA) Information Processing Techniques Office (IPTO) is seeking innovative solutions via the ERIS Marketplace for decentralized, distributed, and horizontally integrated command and control (C2). This shopping notice (DARPA-SN-26-101) targets modeling, simulation, and software-defined approaches to enable resilient autonomy for heterogeneous combat agents—such as unmanned systems, satellite constellations, and sensing grids—in contested, low-connectivity environments. Key technical interests include optimization-based controls, information theory, and edge processing techniques for managing C2 at the edge. Desired solutions must be scalable to thousands of nodes, feature lightweight algorithms for constrained hardware, and advance the state of the art in collaborative control and estimation. The scope covers both short-term efforts and a longer-term space autonomy program. Responses are to be submitted as video solutions to the ERIS marketplace between August 10, 2026, and July 31, 2027. | ERIS@darpa.mil | Marco Salathe Claire Tomlin Dipak Ghosal Jason Lowe-Power Michael Mahoney Prabal Dutta Oscar Antepara Steven Hofmeyr Alexandre Bayen Angelos Ioannou Eric Pouyoul Suren Byna Zachary Needell Rich Wolski Costin Iancu Pengcheng Xie Abhi Rajagopala Farzad Fatollahi-Fard Scott Moura Jean Luca Bez Satyarth Praveen Arpit Gupta Gregory Lemieux Kameshwar Poolla Victor Negut Doru Adrian Thom Popovici Anna Giannakou Venkatesh Akella Sunhee Baik Abdelilah Essiari Scott Beamer | Decentralized Control and Autonomy Frameworks | Scalable and Efficient Edge Computing | Advanced Distributed Sensing and Collaboration |
| DAF Battle Network "Megatron" MAC IDIQ |
DAF |
Special Notice |
[Analyzed from API Fallback] The DAF Battle Network (DBN) 'Megatron' is a Multiple Award Contract (MAC) Indefinite Delivery/Indefinite Quantity (IDIQ) vehicle intended to rapidly deliver capabilities ... |
N/A |
Digital ArchitectureSensor IntegrationSecure ProcessingNetwork ConnectivityApplication DevelopmentSynthetic Environment DevelopmentC3BM Systems DevelopmentSystems IntegrationResilient Systems EngineeringDecision Support SystemsProduct Line SustainmentSystems Assembly |
Command, Control, and Communications (C3) Capabilities |
CSAEESAETAPSA |
AI Summary | Collaboration Graph |
DAF Battle Network "Megatron" MAC IDIQ | DAF | FA861227RB001 | CSA, EESA, ETA, PSA | Digital Architecture | Sensor Integration | Secure Processing | Network Connectivity | Application Development | Synthetic Environment Development | C3BM Systems Development | Systems Integration | Resilient Systems Engineering | Decision Support Systems | Product Line Sustainment | Systems Assembly | [Analyzed from API Fallback] The DAF Battle Network (DBN) 'Megatron' is a Multiple Award Contract (MAC) Indefinite Delivery/Indefinite Quantity (IDIQ) vehicle intended to rapidly deliver capabilities for Program Executive Office Command, Control, Communications, and Battle Management (PAE C3BM). This hybrid supply and service contract will support the development, procurement, and sustainment of C3BM product lines, including digital architecture, sensor integration, secure processing, connectivity, and applications. The contract will be competed under RFO Part 15 and will have both a Small Business and an unrestricted pool of awardees. A virtual Industry Day is scheduled for October 7, 2026, with a draft RFP targeted for late Q4 FY26 and an anticipated award in Q3 FY27. | N/A | Eric Masanet Jason Lowe-Power Luisa Caldas Thomas Hendrickson Cynthia Regnier Victor Negut Hannah Cohoon Satyarth Praveen Arpit Gupta Gregory Lemieux Anna Giannakou Abdelilah Essiari Alexandre Bayen Angelos Ioannou Zachary Needell Han Lee | Command, Control, and Communications (C3) Capabilities |
| Next Generation Identification and Awareness Initiative |
USSOCOM/PMSP |
Sources Sought |
[Analyzed from API Fallback] The U.S. Army, on behalf of the United States Special Operations Command (USSOCOM), is seeking partners for the Next Generation Identification and Awareness Initiative (NG... |
2027-07-30T16:00:00 ET |
Tagging, Tracking, and Locating (TTL)Low Probability Communications (LPI/LPD)Satellite Communications SystemsUnattended Ground SensorsMachine Vision & Object RecognitionAudio/Video Signal ProcessingUnmanned & Autonomous SystemsGPS-Denied NavigationCounter-Unmanned Systems (C-UAS)RF Signature ManagementElectronic Warfare (EW) SystemsSignals Intelligence (SIGINT)Cyber Operations & ToolsAI / Machine Learning AnalyticsTactical Communication Networks |
Tagging, Tracking, and Locating (TTL)Reconnaissance & Surveillance (R&S)Unmanned Systems (UMS)Integrated Information and Electromagnetic Operations (I2EO) |
BSACSAETAPSA |
AI Summary | Collaboration Graph |
Next Generation Identification and Awareness Initiative | USSOCOM/PMSP | W911SR-22-S-NGIA | BSA, CSA, ETA, PSA | Tagging, Tracking, and Locating (TTL) | Low Probability Communications (LPI/LPD) | Satellite Communications Systems | Unattended Ground Sensors | Machine Vision & Object Recognition | Audio/Video Signal Processing | Unmanned & Autonomous Systems | GPS-Denied Navigation | Counter-Unmanned Systems (C-UAS) | RF Signature Management | Electronic Warfare (EW) Systems | Signals Intelligence (SIGINT) | Cyber Operations & Tools | AI / Machine Learning Analytics | Tactical Communication Networks | [Analyzed from API Fallback] The U.S. Army, on behalf of the United States Special Operations Command (USSOCOM), is seeking partners for the Next Generation Identification and Awareness Initiative (NGIA) to prototype advanced technologies. This Sources Sought notice outlines four primary focus areas: 1) Tagging, Tracking, and Locating (TTL) for high-value targets with Over-The-Horizon and Low Probability of Intercept/Detection (LPI/LPD) capabilities; 2) Reconnaissance & Surveillance (R&S) using unattended ground sensors with novel modalities; 3) Unmanned Systems (UMS) with enhanced autonomy, anti-jamming/GPS-denied capabilities, and counter-drone solutions; and 4) Integrated Information and Electromagnetic Operations (I2EO) to combine Cyber, Electronic Warfare (EW), and SIGINT for spectrum dominance. The initiative will utilize Other Transaction Authority (OTA), and successful prototypes may lead to follow-on production contracts. Interested parties must demonstrate technical expertise in these areas to participate. | elizabeth.m.nordell.civ@army.mil | Emil Rofors Christoph Gehbauer Claire Tomlin Zhi Jackie Yao Tiffany Connors Stijn (Stan) Wielandt Victor Negut Prabal Dutta Douglas Black Anna Giannakou Bruce Mah Kameshwar Poolla Dipak Ghosal Alexandre Bayen Suren Byna Daniel Arnold | Tagging, Tracking, and Locating (TTL) | Reconnaissance & Surveillance (R&S) | Unmanned Systems (UMS) | Integrated Information and Electromagnetic Operations (I2EO) |
| IARPA Solutions Marketplace |
IARPA |
Special Notice |
The Intelligence Advanced Research Projects Activity (IARPA), in partnership with The Applied Research Institute (ARI), manages the IARPA Solutions Marketplace, an open-call initiative for the Intelli... |
2027-07-31T16:00:00 ET |
Secure Communication ProtocolsAnonymous Data TransmissionLow Probability of Detection SystemsAdversarial AI DefenseAutonomous Cyber DefenseAI Model SecuritySecure Federated LearningAI-driven Vulnerability ManagementAutomated Test and EvaluationMultimodal Biometric RecognitionPrivacy-Enhancing TechnologiesBiometric Anti-SpoofingReal-time Speech AnonymizationStylometric Analysis and AnonymizationAI Red Teaming |
Secure CommunicationsCyber and Artificial Intelligence SecurityAutomating Research & Development ProcessesBiometric Recognition and Multimodal Privacy Preservation |
BSACSAEESAESAETA |
AI Summary | Collaboration Graph |
IARPA Solutions Marketplace | IARPA | IARPA-OT-26-001 | BSA, CSA, EESA, ESA, ETA | Secure Communication Protocols | Anonymous Data Transmission | Low Probability of Detection Systems | Adversarial AI Defense | Autonomous Cyber Defense | AI Model Security | Secure Federated Learning | AI-driven Vulnerability Management | Automated Test and Evaluation | Multimodal Biometric Recognition | Privacy-Enhancing Technologies | Biometric Anti-Spoofing | Real-time Speech Anonymization | Stylometric Analysis and Anonymization | AI Red Teaming | The Intelligence Advanced Research Projects Activity (IARPA), in partnership with The Applied Research Institute (ARI), manages the IARPA Solutions Marketplace, an open-call initiative for the Intelligence Community (IC). This program solicits solutions through a submission process requiring a 5-minute unclassified video pitch and a 5-slide package. Submissions are collected monthly and must address strategic focus areas including Secure Communications, Cyber and AI Security, Automating R&D, Biometric Recognition, or other IC-relevant topics. A peer panel of experts assesses submissions for technical merit, mission impact, and other criteria. Solutions deemed 'awardable' are placed in a digital marketplace for up to 24 months, making them eligible for rapid, post-competition acquisition by IC and other federal agencies. The program is open to a wide range of participants, including US and foreign entities, and provides feedback for non-awardable submissions to encourage resubmission. | success@iarpamarketplace.us | Michael Dopheide Han Li Xiaoya Chong Christopher Tracy Dipak Ghosal Ben Erichson Amir Kamil Jason Lowe-Power Tiffany Connors Prabal Dutta Vern Paxson Gilberto Pastorello Steven Hofmeyr Koushik Sen Alexandre Bayen Ana Kupresanin Eric Pouyoul Suren Byna Dmitriy Morozov Cary Whitney Sung-Joo Yoo Zhi Yao Kirch Czarina Quijano Sean Peisert Ta-Hsuan Chang Lavanya Ramakrishnan Satyarth Praveen Arpit Gupta Aditi Krishnapriyan Hang Chang Joshua Apte Silvia Crivelli Tanny Andrea Chavez Esparza Zhi Jackie Yao Anna Giannakou Venkatesh Akella Jenny Duong Charuleka Varadharajan Abdelilah Essiari Oluwamayowa Amusat Daniel Arnold | Secure Communications | Cyber and Artificial Intelligence Security | Automating Research & Development Processes | Biometric Recognition and Multimodal Privacy Preservation |
| Subnet BAA |
DLA/SUBNET |
Solicitation |
The Defense Logistics Agency (DLA) seeks Research and Development (R&D) proposals for its Subsistence Network (SUBNET) program under BAA SP4701-26-B-0003, with a total planned ceiling of $35 million o... |
2031-07-14T17:00:00 ET |
Food Preservation TechnologyNutritional Science & OptimizationSmart Packaging & SensorsAdvanced Packaging MaterialsAutonomous Logistics SystemsRobotics and AutomationAI/ML for Supply ChainsFood Additive ManufacturingSustainable Food ProductionCircular Economy SystemsFood Safety & DefenseField Feeding EquipmentWater Security TechnologyEmbedded Sensor Systems |
Advanced Subsistence and AcquisitionSmart Packaging and Asset MonitoringAutonomous and AI-Driven LogisticsEfficient and Sustainable Field Operations |
BSACSAETAPSA |
AI Summary | Collaboration Graph |
Subnet BAA | DLA/SUBNET | SP4701-26-B-0003 | BSA, CSA, ETA, PSA | Food Preservation Technology | Nutritional Science & Optimization | Smart Packaging & Sensors | Advanced Packaging Materials | Autonomous Logistics Systems | Robotics and Automation | AI/ML for Supply Chains | Food Additive Manufacturing | Sustainable Food Production | Circular Economy Systems | Food Safety & Defense | Field Feeding Equipment | Water Security Technology | Embedded Sensor Systems | The Defense Logistics Agency (DLA) seeks Research and Development (R&D) proposals for its Subsistence Network (SUBNET) program under BAA SP4701-26-B-0003, with a total planned ceiling of $35 million over five years (FY2026-2030). The program's primary focus is the 'Advanced Logistics Initiative for Contested Environments' (ALICE), aimed at enhancing the Class I (subsistence) supply chain. The BAA is structured around three core pillars: 1) Agile & Predictive Acquisition for novel, long-shelf-life rations (5-7+ years); 2) Smart Packaging & Strategic Pre-Positioning using intelligent packaging with embedded sensors for real-time quality and location monitoring; and 3) Autonomous & Resilient Distribution for last-mile delivery using unmanned platforms. Other areas of interest include robotics in ration assembly, AI-driven supply chain optimization, sustainable food production, additive manufacturing for food, and enhanced food safety. The acquisition process is a two-stage approach, starting with a mandatory Stage I Feasibility Study (up to 12 months), followed by an invitation-only Stage II for prototype/conceptual solution development (up to 24 months). Initial submissions are made via a 6-page white paper. | Andrea.Nicolucci@dla.mil | Prakash Rao Nihan Karali Bin Wang Daniel Udwary Tao Dai Peng Peng Ramkrishna Singh Dongwoo Paeng Amy Herr Prabal Dutta Omer Savas Zakaria Al Balushi Matthew Hamilton Eric Hoek Yuan Gao Unique Karki Minliang Yang Cristian Poliziani Thomas Schutzius Amelie Gaudin Scott Moura Helcio Blum Tyler Backman Sabbie Miller Aditi Krishnapriyan Kameshwar Poolla Joshua Apte Ning Sun Eric Masanet Thomas Hendrickson Deepti Tanjore Randy Louie Douglas Black Manasa Gadde Abigayle Hodson Deepanwita Banerjee Dre Helmns Changho Kim Oluwamayowa Amusat | Advanced Subsistence and Acquisition | Smart Packaging and Asset Monitoring | Autonomous and AI-Driven Logistics | Efficient and Sustainable Field Operations |
| Alternate Access for Cyber Applications: Exodus |
AFRL/Information & Spectrum Warfare Directorate |
Presolicitation |
The Department of the Air Force, through the Air Force Research Laboratory (AFRL), is soliciting proposals for the 'Alternate Access for Cyber Applications: Exodus' program (ARA #FA8750-26-S-7004). Th... |
2031-06-30T18:00:00 ET |
Offensive Cyberspace OperationsAlternate Access CapabilitiesCyber Weaponry DevelopmentDisconnected Command and ControlCyber Effects CapabilitiesPredictive AnalysisCross-Domain Cyber EffectsCyber Intelligence GatheringAutomated Data AnalyticsStealth & Persistence TechniquesHigh Assurance ArchitecturesAdvanced Endpoint MonitoringNetwork Automation & Deception |
Alternate Access & Last-Mile Cyber OperationsC2 and Intelligence for Contested EnvironmentsStealth, Persistence, and Effects Weaponry |
CSAESAETA |
AI Summary | Collaboration Graph |
Alternate Access for Cyber Applications: Exodus | AFRL/Information & Spectrum Warfare Directorate | FA8750-26-S-7004 | CSA, ESA, ETA | Offensive Cyberspace Operations | Alternate Access Capabilities | Cyber Weaponry Development | Disconnected Command and Control | Cyber Effects Capabilities | Predictive Analysis | Cross-Domain Cyber Effects | Cyber Intelligence Gathering | Automated Data Analytics | Stealth & Persistence Techniques | High Assurance Architectures | Advanced Endpoint Monitoring | Network Automation & Deception | The Department of the Air Force, through the Air Force Research Laboratory (AFRL), is soliciting proposals for the 'Alternate Access for Cyber Applications: Exodus' program (ARA #FA8750-26-S-7004). This initiative aims to develop offensive cyberspace operations (OCO) alternate access cyber capability prototypes for use in disconnected and contested environments, supporting Long Range Kill Chains (LRKC). The focus is on creating cyber platforms and weaponry that enable Special Operations Forces (SOF) to access adversary infrastructure not reachable by traditional means. Key technology areas of interest include capabilities for last-mile operations, command and control, effects delivery, predictive analysis, cross-domain operations, intelligence gathering, stealth, and persistence. The program has a total estimated funding of $999M, with multiple individual awards anticipated, typically ranging from $10M to $50M over periods up to 60 months. This is a two-step announcement, requiring initial white paper submissions, with formal proposals accepted by invitation only. White papers are accepted until September 30, 2030. The program is generally closed to foreign participation and awards may be structured as FAR-based contracts or Other Transactions (OTs). | Thomas Parisi | Michael Dopheide Alexander Sim Dale Carder Christopher Tracy Dipak Ghosal Daniel Gerber Nirmalendu Patra Christoph Kirst Amir Kamil Jason Lowe-Power Bin Dong Tiffany Connors Steven Hofmeyr Alexandre Bayen Eric Pouyoul Angelos Ioannou Marta Gonzalez Cary Whitney Zhi Yao Sung-Joo Yoo Lavanya Ramakrishnan Arpit Gupta Chris Anderson Zhi Jackie Yao Anna Giannakou Bruce Mah Venkatesh Akella Abdelilah Essiari Scott Beamer | Alternate Access & Last-Mile Cyber Operations | C2 and Intelligence for Contested Environments | Stealth, Persistence, and Effects Weaponry |
| Next Generation Undersea Security Initiative (NG-USI) |
Strategic Systems Programs/SSP |
Sources Sought |
[Analyzed from API Fallback] The Strategic Systems Programs (SSP) is soliciting participants for the Next Generation Undersea Security Initiative (NG-USI) to rapidly prototype state-of-the-art technol... |
2031-07-01T17:00:00 ET |
Signal Mitigation & StealthCounter-Unmanned Systems (C-UXS)Adversarial AI CountermeasuresElectronic Security & Sensor FusionRobotics & Autonomous PlatformsAdvanced Manufacturing & MaterialsSolid Rocket Motor PropulsionHypersonic Thermal ProtectionAdvanced Avionics & NavigationFire Control System DevelopmentMaritime Surveillance & SecurityElectronic Warfare SystemsCyber-Physical System SecurityKinetic & Non-Kinetic EffectorsNovel Launch & Warhead Systems |
Pervasive Security for Strategic Assets and FacilitiesCountering Advanced and Autonomous ThreatsNext-Generation Strategic Weapon and Hypersonic SystemsAdvanced Fire Control and Command SystemsSupply Chain Resiliency and Advanced Manufacturing |
CSAESAETAPSA |
AI Summary | Collaboration Graph |
Next Generation Undersea Security Initiative (NG-USI) | Strategic Systems Programs/SSP | SSP_NG-USI | CSA, ESA, ETA, PSA | Signal Mitigation & Stealth | Counter-Unmanned Systems (C-UXS) | Adversarial AI Countermeasures | Electronic Security & Sensor Fusion | Robotics & Autonomous Platforms | Advanced Manufacturing & Materials | Solid Rocket Motor Propulsion | Hypersonic Thermal Protection | Advanced Avionics & Navigation | Fire Control System Development | Maritime Surveillance & Security | Electronic Warfare Systems | Cyber-Physical System Security | Kinetic & Non-Kinetic Effectors | Novel Launch & Warhead Systems | [Analyzed from API Fallback] The Strategic Systems Programs (SSP) is soliciting participants for the Next Generation Undersea Security Initiative (NG-USI) to rapidly prototype state-of-the-art technologies for strategic naval superiority. Using an Other Transaction Authority (OTA) mechanism, the initiative focuses on 22 distinct areas. Key technical domains include mitigating submarine signal signatures, countering unmanned systems (C-UXS), defeating adversarial AI, and enhancing physical security for facilities, maritime transits, and ground convoys. The initiative also covers the development and modernization of strategic weapon systems components, such as fire control, solid rocket motors, thermal protection, avionics, and launch systems for programs like TRIDENT II and Conventional Prompt Strike (CPS), alongside advancements in manufacturing methods and materials to improve industrial resiliency. | david.shriner@ssp.navy.mil | Didier Perrodin Claire Tomlin Andrew Lake Peter Therkelsen Dale Carder Daniel Arnold Michael Frenklach Christopher Tracy Dipak Ghosal Katherine Ray Danielle Svehla Christianson Peng Peng Christoph Kirst Jason MacDonald Najm Us Saqib Diego Arbelaez Dhruva Kulkarni Sowmya Balasubramanian Omer Savas Daniel Cheng Scott Dimaggio Kenny Higa Alexandre Bayen Yuan Gao Giorgio Vallone Damian Rouson Grace Lau Zhi Yao Sung-Joo Yoo Scott Moura Nicolas Abgrall Hannah Parrilla Simo Makiharju Joshua Robert Boverhof Sabbie Miller Valerie Hendrix Eric Lizotte Kameshwar Poolla Sudip Dosanjh Eric Masanet Tanny Andrea Chavez Esparza Chris Anderson Jing Ke Zhi Jackie Yao Robert Ritchie Victor Negut Dre Helmns Venkatesh Akella Qin Yu John D. Owens | Pervasive Security for Strategic Assets and Facilities | Countering Advanced and Autonomous Threats | Next-Generation Strategic Weapon and Hypersonic Systems | Advanced Fire Control and Command Systems | Supply Chain Resiliency and Advanced Manufacturing |
| Advanced Metal Castings Research & Development (R&D) Requirement Program (Formerly Castings) |
DLA |
Solicitation |
The Defense Logistics Agency (DLA) is seeking research and development proposals under a five-year, $90 million Broad Agency Announcement (BAA) for the Advanced Metal Castings Program. The program's g... |
2031-06-29T17:00:00 ET |
Advanced Alloy DevelopmentMetal Casting Process InnovationDie Materials ScienceComponent Repair TechnologiesAdvanced Coatings and LubricantsMetallurgy ResearchIndustry 4.0 IntegrationSmart Manufacturing SystemsIndustrial Robotics and AutomationManufacturing Process OptimizationIntegrated Sensor TechnologiesSupply Chain Modeling ToolsCasting Tooling Data Analysis |
Procurement and Supply Chain Solutions for Metal CastingsAdvanced Casting Manufacturing TechnologiesSmart Manufacturing and Automation for Metal CastingCasting Industry Workforce Development and Training |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
Advanced Metal Castings Research & Development (R&D) Requirement Program (Formerly Castings) | DLA | SP4701-26-B-0002 | BSA, CSA, ESA, ETA, PSA | Advanced Alloy Development | Metal Casting Process Innovation | Die Materials Science | Component Repair Technologies | Advanced Coatings and Lubricants | Metallurgy Research | Industry 4.0 Integration | Smart Manufacturing Systems | Industrial Robotics and Automation | Manufacturing Process Optimization | Integrated Sensor Technologies | Supply Chain Modeling Tools | Casting Tooling Data Analysis | The Defense Logistics Agency (DLA) is seeking research and development proposals under a five-year, $90 million Broad Agency Announcement (BAA) for the Advanced Metal Castings Program. The program's goals are to reduce DLA backorders for items with metal castings and to enhance the quality, productivity, and technology of the metal casting industry. Key focus areas include: 1) Procurement Solutions, developing tools to improve DLA's acquisition and supply chain management for cast parts, and 2) Manufacturing Technologies, demonstrating innovative processes, materials, alloys, automation (Industry 4.0), and workforce development initiatives. The submission process is staged, beginning with an 8-page white paper. If interest is shown, DLA will request a full technical proposal (20-page limit) and a subsequent cost proposal. Proposals will be evaluated on technical feasibility, viability, desirability, and past performance. | Deborah.P.Lombardi@dla.mil | Prakash Rao Minok Park Francesco Ricci Natalie Popovich Billie Holecek Paul Sheaffer Zixuan Li Katherine Ray Tao Dai Marco Pritoni Kelly Kissock Mariusz Juchno Zi Qiu Alex Newkirk Prabal Dutta Gilberto Pastorello Alexandre Bayen Nica Campbell Henry Willem Michael Green Peter Hosemann Cristian Poliziani Jordan Shackelford Zhi Yao Kirch Czarina Quijano Scott Moura Lavanya Ramakrishnan Helcio Blum Arpit Gupta Sabbie Miller Kameshwar Poolla Sang woo Ham Eric Masanet Daryl Chrzan Nawa Raj Baral Thomas Hendrickson Robert Ritchie Randy Louie Dre Helmns Qin Yu Oluwamayowa Amusat | Procurement and Supply Chain Solutions for Metal Castings | Advanced Casting Manufacturing Technologies | Smart Manufacturing and Automation for Metal Casting | Casting Industry Workforce Development and Training |
| DOW Combat Readiness – Medical Research Program Translational Research Award |
DHA |
Cooperative Agreement |
The Fiscal Year 2026 (FY26) Combat Readiness – Medical Research Program (CRRP) Translational Research Award (TRA) supports hypothesis-driven, high-impact translational research to accelerate the devel... |
2026-11-18T00:00:00 ET |
Translational Trauma ResearchBattlefield Medical DiagnosticsClinical Decision Support ToolsProlonged Casualty CarePreclinical Animal ModelingPilot Clinical Trial DesignBiomedical Device DevelopmentTherapeutic Product DevelopmentStatistical Modeling & Data AnalysisFDA Regulatory StrategyAustere Environment MedicineMedical Knowledge Product DevelopmentGood Manufacturing Practices (GMP)Human Subjects Clinical Research |
Battlefield Diagnostics, Triage, and Decision Support ToolsAdvanced Trauma Treatments for Austere EnvironmentsWarfighter Battlefield Readiness and Prehospital Solutions |
N/A |
AI Summary | Collaboration Graph |
DOW Combat Readiness – Medical Research Program Translational Research Award | DHA | HT942526CRRPTRA | N/A | Translational Trauma Research | Battlefield Medical Diagnostics | Clinical Decision Support Tools | Prolonged Casualty Care | Preclinical Animal Modeling | Pilot Clinical Trial Design | Biomedical Device Development | Therapeutic Product Development | Statistical Modeling & Data Analysis | FDA Regulatory Strategy | Austere Environment Medicine | Medical Knowledge Product Development | Good Manufacturing Practices (GMP) | Human Subjects Clinical Research | The Fiscal Year 2026 (FY26) Combat Readiness – Medical Research Program (CRRP) Translational Research Award (TRA) supports hypothesis-driven, high-impact translational research to accelerate the development of solutions for trauma care to maximize casualty survivability and improve patient care closer to the point of injury. Research must address at least one of three focus areas: Battlefield diagnostics, triage and decision aids; Treatments for point of injury and austere environments; or Battlefield readiness. Proposals require preliminary data and must represent a mature research effort with a minimum biomedical Technology Readiness Level (TRL) of 4 or Knowledge Readiness Level (KRL) of 4. Independent investigators at all career levels are eligible, but an individual may be the Principal Investigator (PI) on only one application. The award may be structured as a base award with a maximum of $1.45M over 2 years, or as a base award plus a 1-year optional research phase, with a total cost cap of $2.45M over 3 years. A small-scale pilot clinical trial is only permissible during the optional phase. Funding is administered by the Defense Health Agency (DHA) as a grant or cooperative agreement. | help@eBRAP.org | Seth Carbon Zixi Hu Yi-Chuan Lu Harry Caufield Amy Kronenberg Gerard Marriott Jamie Inman Zachary Jones Jian-Hua Mao Reginald Lee | Battlefield Diagnostics, Triage, and Decision Support Tools | Advanced Trauma Treatments for Austere Environments | Warfighter Battlefield Readiness and Prehospital Solutions |
| Information Processing Techniques Office Office-Wide |
DARPA/IPTO |
Solicitation |
The Defense Advanced Research Projects Agency (DARPA) Information Processing Techniques Office (IPTO) is soliciting revolutionary research proposals under this Broad Agency Announcement (BAA) for topi... |
2027-06-22T14:00:00 ET |
Artificial Intelligence InnovationEnergy-Efficient AI SystemsTrustworthy and Understandable AIAI AlignmentInherent System SecurityInherent Data PrivacyResilient Cyber SystemsSecure Networking and ComputingResilient Megasystems AnalysisComplex System ModelingSystemic Risk IdentificationMission-Critical Function AssuranceResilient Software DevelopmentFormal Methods VerificationComputational Science |
AI Innovation and ExecutionInherent Security and PrivacyResilient MegasystemsFormal Methods for Resilient Software |
CSAEESAESAETA |
AI Summary | Collaboration Graph |
Information Processing Techniques Office Office-Wide | DARPA/IPTO | HR001126S0011 | CSA, EESA, ESA, ETA | Artificial Intelligence Innovation | Energy-Efficient AI Systems | Trustworthy and Understandable AI | AI Alignment | Inherent System Security | Inherent Data Privacy | Resilient Cyber Systems | Secure Networking and Computing | Resilient Megasystems Analysis | Complex System Modeling | Systemic Risk Identification | Mission-Critical Function Assurance | Resilient Software Development | Formal Methods Verification | Computational Science | The Defense Advanced Research Projects Agency (DARPA) Information Processing Techniques Office (IPTO) is soliciting revolutionary research proposals under this Broad Agency Announcement (BAA) for topics not addressed by ongoing IPTO programs. The BAA focuses on three primary thrust areas: 1) AI Innovation and Execution for energy-efficient, assured, and trustworthy AI; 2) Inherent Security and Privacy to create fundamentally secure systems; and 3) Resilient Megasystems for modeling and assuring complex interconnected systems like supply chains and power grids. The office seeks unconventional, high-risk approaches that challenge accepted assumptions and offer revolutionary advances, specifically excluding evolutionary improvements. The submission process is two-tiered, requiring a mandatory abstract submission, with full proposals accepted by invitation only. The announcement emphasizes the use of formal methods for developing resilient software and outlines security requirements, including Cybersecurity Maturity Model Certification (CMMC) and a Fundamental Research Risk-Based Security (FRRBS) review for certain award types. A variety of award instruments are anticipated, including contracts, grants, cooperative agreements, and Other Transactions (OTs). | HR001126S0011@darpa.mil | Michael Dopheide Alexander Sim Han Li Sophia Shao Xiaoya Chong Adam Slagell Leonid Oliker Dipak Ghosal Nirmalendu Patra Amir Kamil Jason Lowe-Power Florin Rusu Tiffany Connors Talita Perciano Costa Leite Anastasiia Butko Steven Hofmeyr Alexandre Bayen Nica Campbell Angelos Ioannou Marta Gonzalez Cary Whitney Cristian Poliziani Damian Rouson Sean Peisert Scott Moura Dan Bonachea Lavanya Ramakrishnan Arpit Gupta Gregory Lemieux Nestor Demeure Sabbie Miller Aditi Krishnapriyan Kameshwar Poolla Jessica Granderson Hasita Veluri Thomas Hendrickson Anna Giannakou Venkatesh Akella Anthony Ciavarella Abdelilah Essiari Sunhee Baik Scott Beamer Samuel Williams Luisa Gonzalez | AI Innovation and Execution | Inherent Security and Privacy | Resilient Megasystems | Formal Methods for Resilient Software |
| DEVCOM ARMY RESEARCH LABORATORY BROAD AGENCY ANNOUNCEMENT FOR FOUNDATIONAL RESEARCH |
DEVCOM Army Research Laboratory/ARO |
Solicitation |
The U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory (ARL) is soliciting research proposals for its Broad Agency Announcement (BAA) for Foundational Research (W911NF... |
2027-11-20T23:59:00 ET |
Quantum ComputingSensor Network ArchitecturesCollaborative Decision MakingFoundational Materials ScienceArtificial Intelligence & Machine LearningAutonomous & Robotic SystemsAdvanced Component PrototypingNetwork & Information ScienceHuman-Technology IntegrationComputational Modeling & SimulationAdvanced Electronics & PhotonicsDisruptive Technology ExplorationBasic and Applied Research |
Quantum Information Science and ComputingNetworked Information Architectures for Decision SupportFoundational Research for Army Overmatch |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
DEVCOM ARMY RESEARCH LABORATORY BROAD AGENCY ANNOUNCEMENT FOR FOUNDATIONAL RESEARCH | DEVCOM Army Research Laboratory/ARO | W911NF-23-S-0001 | BSA, CSA, ESA, ETA, PSA | Quantum Computing | Sensor Network Architectures | Collaborative Decision Making | Foundational Materials Science | Artificial Intelligence & Machine Learning | Autonomous & Robotic Systems | Advanced Component Prototyping | Network & Information Science | Human-Technology Integration | Computational Modeling & Simulation | Advanced Electronics & Photonics | Disruptive Technology Exploration | Basic and Applied Research | The U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory (ARL) is soliciting research proposals for its Broad Agency Announcement (BAA) for Foundational Research (W911NF-23-S-0001), which is open until November 20, 2027. The BAA seeks innovative basic (6.1) and applied (6.2) research, with potential for advanced technology development, to support the ARL's mission of operationalizing science for future Army overmatch. Research topics are detailed on the ARL BAA website. The program is executed by the Army Research Directorate (ARD) and the Army Research Office (ARO), which also offers targeted opportunities like the Early Career Program (ECP), Short-Term Innovative Research (STIR) awards, and a Visiting Scientist Program (VSP). The submission process encourages a preliminary whitepaper before a full proposal. A key requirement is the Army Research Risk Assessment Program (ARRP), which evaluates proposals and key personnel for undue foreign influence and requires disclosure of all support and a signed Privacy Act consent form. Awards may be structured as contracts, grants, cooperative agreements, or Other Transactions (OTs). | usarmy.rtp.devcom-arl.mbx.baa@army.mil | Alexander Sim Alp Sipahigil Christopher Tracy Leonid Oliker Dipak Ghosal Christoph Kirst Dongwoo Paeng Diego Arbelaez Ermal Rrapaj Marina Radulaski Alexander Pattison Prabal Dutta Omer Savas Steven Hofmeyr Hartmut Haeffner Alexandre Bayen Kunhwi Kim Eric Pouyoul Costin Iancu Joel Moore Kristin Persson Abhi Rajagopala Dan Stamper-Kurn Bruce Nordman Sung-Joo Yoo Laura Garcia Fajardo Mengjie Yu Aditi Krishnapriyan Kasra Nowrouzi Zhi Jackie Yao Ruoxi Yang Nawa Raj Baral Federico Moretti Michael Zaletel Venkatesh Akella Anthony Ciavarella Jan Balewski Luisa Gonzalez | Quantum Information Science and Computing | Networked Information Architectures for Decision Support | Foundational Research for Army Overmatch |
| TECHNOLOGY LICENSING OPPORTUNITY: Heat Pipe Reactor Fire Mitigation and Suppression System |
Los Alamos National Laboratory |
Special Notice |
[Analyzed from API Fallback] This technology from Los Alamos National Laboratory is an automated, sensor-driven fire mitigation and suppression system for advanced alkali metal-cooled heat pipe reacto... |
2026-12-19T19:00:00 ET |
Nuclear Reactor EngineeringHeat Pipe TechnologyThermal Management SystemsAlkali Metal ChemistryAutomated Fire SuppressionSensor and Instrumentation SystemsEmbedded Control SystemsPhase Change Material ScienceNuclear Core PhysicsNeutron Absorber MaterialsReactor Safety EngineeringFluid Dynamics and Dispersion |
Automated Safety and Control SystemsIntegrated Thermal-Fluidic DesignNuclear Reactor Core Safety and Shutdown |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
TECHNOLOGY LICENSING OPPORTUNITY: Heat Pipe Reactor Fire Mitigation and Suppression System | Los Alamos National Laboratory | S-133663 | BSA, CSA, EESA, ESA, ETA, PSA | Nuclear Reactor Engineering | Heat Pipe Technology | Thermal Management Systems | Alkali Metal Chemistry | Automated Fire Suppression | Sensor and Instrumentation Systems | Embedded Control Systems | Phase Change Material Science | Nuclear Core Physics | Neutron Absorber Materials | Reactor Safety Engineering | Fluid Dynamics and Dispersion | [Analyzed from API Fallback] This technology from Los Alamos National Laboratory is an automated, sensor-driven fire mitigation and suppression system for advanced alkali metal-cooled heat pipe reactors. It repurposes the reactor's heat pipes into active fire defense components. Upon detecting fire-like conditions via sensors, a controller initiates a rapid, multi-stage response that includes injecting suppressant into the heat pipes, evacuating the alkali metal working fluid, and releasing suppressant into a surrounding inert gas chamber. Key technical features include redundant suppressant injection points, a phase change material jacket that doubles as a fire retardant, and an optional mechanism to disperse a neutron absorber into the reactor core to aid shutdown. The system's purpose is to provide a layered, automated safeguard against one of the most challenging hazards in advanced microreactors, enabling safer operation in remote, unattended, and space-constrained deployments without requiring major redesigns for external suppression equipment. | licensing@lanl.gov | Peter Therkelsen Li Wang Bin Wang Michael Frenklach Katherine Ray Najm Us Saqib Diego Arbelaez Alexander Pattison Sumanjeet Kaur Peter Hosemann Giorgio Vallone Jennifer Pore Chris Dames Abhi Rajagopala Thomas Schutzius Zhi Yao Pramod Bhuvankar Scott Moura Hannah Parrilla Lee Bernstein Ravi Prasher Yuan Mei M Shamsuzzoha Basunia Aaron Lattanzi Kameshwar Poolla Andrew Dopilka Sang woo Ham Volker Koch Randy Louie Dre Helmns Duncan Callaway Eric Anderssen Bethany Goldblum Oluwamayowa Amusat Johannes Mahl | Automated Safety and Control Systems | Integrated Thermal-Fluidic Design | Nuclear Reactor Core Safety and Shutdown |
| DoW Parkinson’s, Early Investigator Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Parkinson’s Research Program (PRP) Early Investigator Research Award (EIRA) supports Parkinson's disease (PD) research by early-career investigators to benefit Service Memb... |
2026-11-06T00:00:00 ET |
Parkinson's Disease HeterogeneityClinical Course AnalysisIn Vitro Disease ModelingBiological Mechanisms of PDBiomarker Discovery and ValidationNeuroimaging TechniquesNon-Motor Symptom ResearchMotor Symptom ResearchPharmacological InterventionsNon-Pharmacological InterventionsCentral Nervous System StimulationPreclinical Therapeutic ModelsAnimal Models of NeurodegenerationBiostatistical Analysis and Modeling |
Key Research Areas |
N/A |
AI Summary | Collaboration Graph |
DoW Parkinson’s, Early Investigator Research Award | DHA | HT942526PRPEIRA | N/A | Parkinson's Disease Heterogeneity | Clinical Course Analysis | In Vitro Disease Modeling | Biological Mechanisms of PD | Biomarker Discovery and Validation | Neuroimaging Techniques | Non-Motor Symptom Research | Motor Symptom Research | Pharmacological Interventions | Non-Pharmacological Interventions | Central Nervous System Stimulation | Preclinical Therapeutic Models | Animal Models of Neurodegeneration | Biostatistical Analysis and Modeling | The Fiscal Year 2026 (FY26) Parkinson’s Research Program (PRP) Early Investigator Research Award (EIRA) supports Parkinson's disease (PD) research by early-career investigators to benefit Service Members, Veterans, and their families. The award offers two distinct funding levels. Funding Level 1 is for postdoctoral or clinical fellows, requires a mentor, has a total cost cap of $0.3M, and does not require preliminary data. Funding Level 2 is for early-career independent investigators (within 10 years of their advanced degree), does not require a mentor, has a total cost cap of $1.0M, and requires preliminary data. The maximum period of performance for both levels is 2 years. All projects must address at least one of four FY26 PRP Focus Areas: PD heterogeneity, in vitro models, biological mechanisms/biomarkers of unmet needs, or interventions for unmet needs. Clinical trials are not allowed. | help@eBRAP.org | Karthik Shekhar Kevin Fan Josh North Zixi Hu Eleanor Zizka Jennifer Rosenbluth Aris Polyzos Gerard Marriott Jian-Hua Mao Christoph Kirst | Key Research Areas |
| DoW Parkinson’s, Investigator-Initiated Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Parkinson’s Research Program (PRP) Investigator-Initiated Research Award (IIRA) is a grant or cooperative agreement supporting rigorous, multidisciplinary, high-impact rese... |
2026-11-06T00:00:00 ET |
Parkinson's Disease HeterogeneityTherapeutic Outcome ResearchIn Vitro Model DevelopmentBiological Mechanisms ResearchBiomarker DiscoveryClinical Biomarker AnalysisNeuroimaging TechniquesPharmacological InterventionsNon-Pharmacological InterventionsNon-Invasive CNS StimulationClinical Trial DesignPreclinical Animal ModelsMotor Symptom ResearchNon-Motor Symptom ResearchBioinformatics and Statistical Analysis |
Understanding Parkinson's Disease Heterogeneity and ProgressionAdvanced In Vitro Model SystemsBiomarkers and Mechanisms for Unmet Medical NeedsTherapeutic Interventions for Parkinson's Disease |
N/A |
AI Summary | Collaboration Graph |
DoW Parkinson’s, Investigator-Initiated Research Award | DHA | HT942526PRPIIRA | N/A | Parkinson's Disease Heterogeneity | Therapeutic Outcome Research | In Vitro Model Development | Biological Mechanisms Research | Biomarker Discovery | Clinical Biomarker Analysis | Neuroimaging Techniques | Pharmacological Interventions | Non-Pharmacological Interventions | Non-Invasive CNS Stimulation | Clinical Trial Design | Preclinical Animal Models | Motor Symptom Research | Non-Motor Symptom Research | Bioinformatics and Statistical Analysis | The Fiscal Year 2026 (FY26) Parkinson’s Research Program (PRP) Investigator-Initiated Research Award (IIRA) is a grant or cooperative agreement supporting rigorous, multidisciplinary, high-impact research projects with the potential to significantly contribute to Parkinson's disease (PD) research. The program, with a total allotment of approximately $10 million, expects to fund around five awards, each with a total cost cap of $2 million for a maximum performance period of three years. Research projects, which can span from basic science to clinical trials, must address at least one of four specified FY26 PRP Focus Areas: disease heterogeneity, in vitro model development, biological mechanisms or biomarkers for unmet medical needs, and interventions for unmet medical needs. Key features of this award include a Partnering Principal Investigator (PI) option, a requirement for preliminary data, and a minimum 15% effort commitment from the Initiating PI. All applications must demonstrate how the research will benefit Service Members, Veterans, and their families. | N/A | Karthik Shekhar Kevin Fan Zhong Wang Tamas Torok Georgios Pavlopoulos Jennifer Rosenbluth Amy Kronenberg Jian-Hua Mao Ehud Isacoff Benjamin Cole | Understanding Parkinson's Disease Heterogeneity and Progression | Advanced In Vitro Model Systems | Biomarkers and Mechanisms for Unmet Medical Needs | Therapeutic Interventions for Parkinson's Disease |
| DoW Rare Cancers Idea Development Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Rare Cancers Research Program (RCRP) Idea Development Award (IDA), offered by the Defense Health Agency, seeks to fund innovative, high-impact research ideas that are ready... |
2026-11-18T00:00:00 ET |
Rare Cancer BiologyDisease-Defining Molecular PathwaysTumor Microenvironment AnalysisPreclinical Research ModelsTumor-Specific Model ValidationNovel Therapeutic StrategiesDrug RepurposingArtificial Intelligence ModelsMachine Learning for DiscoveryDiscovery-Driven ResearchCorrelative Clinical StudiesStatistical Analysis PlanningSex as a Biological Variable |
Rare Cancer Biology and MicroenvironmentPreclinical Model Development for Clinical ReadinessNovel Therapeutic Strategies and Drug RepurposingAI/ML for Discovery and Preclinical Studies |
N/A |
AI Summary | Collaboration Graph |
DoW Rare Cancers Idea Development Award | DHA | HT942526RCRPIDA | N/A | Rare Cancer Biology | Disease-Defining Molecular Pathways | Tumor Microenvironment Analysis | Preclinical Research Models | Tumor-Specific Model Validation | Novel Therapeutic Strategies | Drug Repurposing | Artificial Intelligence Models | Machine Learning for Discovery | Discovery-Driven Research | Correlative Clinical Studies | Statistical Analysis Planning | Sex as a Biological Variable | The Fiscal Year 2026 (FY26) Rare Cancers Research Program (RCRP) Idea Development Award (IDA), offered by the Defense Health Agency, seeks to fund innovative, high-impact research ideas that are ready for further development. This grant supports research into cancers affecting six or fewer persons per 100,000 per year in the United States. Proposed projects must address at least one of four focus areas: Biology, Preclinical Research Model, Therapy, or Artificial Intelligence/Machine Learning Models. While preliminary data with a disease-specific rationale is required, it does not have to originate from the specific rare cancer under study. The program anticipates funding approximately 15 awards with a total cost cap of $490,000 per award for a maximum period of 3 years. Clinical trials are not allowed under this award. Independent investigators at all career levels are eligible to apply. | help@eBRAP.org | Sharon Greenblum Eric Chagnon Horst Simon Jennifer Rosenbluth Ling Jin Aris Polyzos Gerard Marriott Adam Rupe Jamie Inman Jian-Hua Mao | Rare Cancer Biology and Microenvironment | Preclinical Model Development for Clinical Readiness | Novel Therapeutic Strategies and Drug Repurposing | AI/ML for Discovery and Preclinical Studies |
| DoW Orthopaedic, Clinical Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Orthopaedic Research Program (ORP) Clinical Research Award (CRA) funds clinical research and trials on orthopaedic-specific factors and interventions to improve patient out... |
2026-11-18T00:00:00 ET |
Orthopaedic Clinical ResearchClinical Trial DesignLigamentous Trauma TreatmentMusculoskeletal Injury ResearchOsseointegration OutcomesPercutaneous Prosthetic LimbsReturn-to-Duty StrategiesOrthopaedic Military Women's HealthLimb Stabilization and ProtectionNovel Wound ProtectantsClinical Decision Support ToolsRehabilitation Strategy ValidationBiostatistics and Data AnalysisSex as a Biological Variable AnalysisRegulatory Strategy Development |
Ligamentous TraumaOsseointegration OutcomesReturn-to-Duty StrategiesMilitary Women's Orthopaedic HealthLimb Stabilization and Protection |
N/A |
AI Summary | Collaboration Graph |
DoW Orthopaedic, Clinical Research Award | DHA | HT942526ORPCRA | N/A | Orthopaedic Clinical Research | Clinical Trial Design | Ligamentous Trauma Treatment | Musculoskeletal Injury Research | Osseointegration Outcomes | Percutaneous Prosthetic Limbs | Return-to-Duty Strategies | Orthopaedic Military Women's Health | Limb Stabilization and Protection | Novel Wound Protectants | Clinical Decision Support Tools | Rehabilitation Strategy Validation | Biostatistics and Data Analysis | Sex as a Biological Variable Analysis | Regulatory Strategy Development | The Fiscal Year 2026 (FY26) Orthopaedic Research Program (ORP) Clinical Research Award (CRA) funds clinical research and trials on orthopaedic-specific factors and interventions to improve patient outcomes and inform clinical care for Service Members, Veterans, and the general public. Applications must address at least one of the specified FY26 focus areas. The award has two levels: Research Level 1 (RL1) supports clinical research projects with a total cost cap of $2.0M per award. Research Level 2 (RL2) supports clinical trials with a total cost cap of $3.2M per award. The maximum performance period for both is four years. RL1 focus areas are Ligamentous Trauma, Osseointegration Outcomes, Return-to-Duty Strategies, and Military Women’s Health. RL2 focus areas are Ligamentous Trauma, Limb Stabilization and Protection, and Return-to-Duty Strategies. Animal research is not permitted under this award. | help@eBRAP.org | Peter Tennessen Natalia Molchanova Zixi Hu Eleanor Zizka Peter Cappers Harry Caufield Yousef Bozorgnia Jian-Hua Mao Reginald Lee Carl Blumstein | Ligamentous Trauma | Osseointegration Outcomes | Return-to-Duty Strategies | Military Women's Orthopaedic Health | Limb Stabilization and Protection |
| STATE OF THE ART (SOTA) MICROELECTRONICS (ME) ADOPTION BROAD AGENCY ANNOUNCEMENT (BAA) FULL TEXT GENERAL ANNOUNCEMENT |
SAF/AQC |
Special Notice |
[Analyzed from API Fallback] This document is a general Broad Agency Announcement (BAA) for the 'State of the Art (SOTA) Microelectronics (ME) Adoption' program (26-S-1358) from SAF/AQC. It establishe... |
N/A |
Microelectronics Design (Analog/Digital)AI/ML Hardware ArchitecturesSecure Electronic Design Automation (EDA)Radiation-Hardened by Design (RHBD)Chiplet-Based & System-in-Package (SiP) DesignAdvanced Microelectronics PackagingHeterogeneous Integration (2.5D/3D)Secure SoC and SiP Test MethodologiesMicroelectronics Thermal ManagementHigh-Performance Edge ComputingNext-Generation RF & Mixed-Signal ElectronicsHardware Acceleration for CryptographyResilient PNT MicroelectronicsMicroelectronics Security VerificationDigital Twin Frameworks for Microelectronics |
Advanced & Secure Microelectronics Design and ProductionNext-Generation Assembly, Packaging, and TestNovel Microelectronics for Disruptive USG CapabilitiesAdvanced Test, Validation, and Mission QualificationAccessible & Affordable Microelectronics Ecosystem |
CSAESAETAPSA |
AI Summary | Collaboration Graph |
STATE OF THE ART (SOTA) MICROELECTRONICS (ME) ADOPTION BROAD AGENCY ANNOUNCEMENT (BAA) FULL TEXT GENERAL ANNOUNCEMENT | SAF/AQC | 26S1358 | CSA, ESA, ETA, PSA | Microelectronics Design (Analog/Digital) | AI/ML Hardware Architectures | Secure Electronic Design Automation (EDA) | Radiation-Hardened by Design (RHBD) | Chiplet-Based & System-in-Package (SiP) Design | Advanced Microelectronics Packaging | Heterogeneous Integration (2.5D/3D) | Secure SoC and SiP Test Methodologies | Microelectronics Thermal Management | High-Performance Edge Computing | Next-Generation RF & Mixed-Signal Electronics | Hardware Acceleration for Cryptography | Resilient PNT Microelectronics | Microelectronics Security Verification | Digital Twin Frameworks for Microelectronics | [Analyzed from API Fallback] This document is a general Broad Agency Announcement (BAA) for the 'State of the Art (SOTA) Microelectronics (ME) Adoption' program (26-S-1358) from SAF/AQC. It establishes a framework for future funding opportunities and does not accept proposals itself. Instead, specific requirements will be detailed in separate 'Topic Calls' issued on SAM.gov. The program's goal is to accelerate the US Government's adoption of trusted, state-of-the-art domestic microelectronics, with a focus on Intel 18A technology and advanced packaging. The BAA outlines five key mission areas for potential research: 1) Advanced & Secure Microelectronics Design and Production; 2) Next-Generation Assembly, Packaging, and Test; 3) Novel Microelectronics for Disruptive USG Capabilities; 4) Advanced Test, Validation, and Mission Qualification; and 5) building an Accessible & Affordable Microelectronics Ecosystem. Awards under future Topic Calls may be procurement contracts or Other Transaction Agreements (OTAs). Only U.S. organizations are eligible to participate. | matthew.karijolic@us.af.mil | Christopher Tracy Dipak Ghosal Daniel Gerber Nirmalendu Patra Michael Chin Jason Lowe-Power Alex Newkirk Jyothisraj Johnson Anastasiia Butko Angelos Ioannou Farzad Fatollahi-Fard Zhi Yao Lavanya Ramakrishnan Aikaterini Papadopoulou Ravi Prasher Meriam Gay Bautista-Jurney Cynthia Regnier Russell Wilcox Chris Anderson Roya Maboudian Hasita Veluri Zhi Jackie Yao Stijn (Stan) Wielandt Dario Gnani Georgios Michelogiannakis Venkatesh Akella Panagiotis Zarkos Asir Intisar Khan Scott Beamer Luisa Gonzalez | Advanced & Secure Microelectronics Design and Production | Next-Generation Assembly, Packaging, and Test | Novel Microelectronics for Disruptive USG Capabilities | Advanced Test, Validation, and Mission Qualification | Accessible & Affordable Microelectronics Ecosystem |
| DoW Rare Cancers Resource and Community Development Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Rare Cancers Research Program (RCRP) Resource and Community Development Award (RCDA) from the Defense Health Agency supports the creation of research resources and clinical... |
2026-11-18T00:00:00 ET |
Rare Cancer ResearchClinical/Preclinical Dataset DevelopmentPatient Tissue and Tumor ModelsData Sharing InfrastructureMechanistic ResearchTherapeutic Development ResearchTumor Biospecimen RepositoriesPatient Registry DatabasesGenomics and TranscriptomicsProteomics and MetabolomicsBioinformatics AnalysisLongitudinal Disease StudiesArtificial Intelligence / Machine LearningPreclinical Animal Models |
Rare Cancer Resource and Platform DevelopmentAI and Machine Learning for Rare Cancer Research |
N/A |
AI Summary | Collaboration Graph |
DoW Rare Cancers Resource and Community Development Award | DHA | HT942526RCRPRCDA | N/A | Rare Cancer Research | Clinical/Preclinical Dataset Development | Patient Tissue and Tumor Models | Data Sharing Infrastructure | Mechanistic Research | Therapeutic Development Research | Tumor Biospecimen Repositories | Patient Registry Databases | Genomics and Transcriptomics | Proteomics and Metabolomics | Bioinformatics Analysis | Longitudinal Disease Studies | Artificial Intelligence / Machine Learning | Preclinical Animal Models | The Fiscal Year 2026 (FY26) Rare Cancers Research Program (RCRP) Resource and Community Development Award (RCDA) from the Defense Health Agency supports the creation of research resources and clinical/preclinical datasets to advance the study of rare cancers, defined as those affecting six or fewer persons per 100,000 annually in the U.S. The award targets gaps in research resources (e.g., patient tissues, models), data sharing infrastructure, and community communication. Proposals must address one of two focus areas: Platform Development (e.g., repositories, databanks, registries) or the use of Artificial Intelligence/Machine Learning (AI/ML) models for discovery and preclinical research. Key requirements include the integral partnership with at least two Patient Advocates, a strong community-building component, and detailed plans for dissemination and long-term sustainability of the developed resources. Clinical trials are not allowed. The maximum award is $1.12 million in total costs for a performance period of up to 4 years. | help@eBRAP.org | Adam Deutschbauer Meghana Faltane Cees De Laat Chris Mungall Georgios Pavlopoulos Talita Perciano Costa Leite Sajeet Haridas Jennifer Rosenbluth Steven Hofmeyr Harry Caufield | Rare Cancer Resource and Platform Development | AI and Machine Learning for Rare Cancer Research |
| DoW Joint Warfighter Medical, Military Medical Research and Development Award |
DHA |
Cooperative Agreement |
The Fiscal Year 2026 (FY26) Joint Warfighter Medical Research Program (JWMRP) Military Medical Research and Development Award (MMRDA) funds the logical continuation of previously awarded Department of... |
2026-11-16T00:00:00 ET |
Diarrheal Disease PreventionBroad-Spectrum Antiviral DevelopmentHemorrhage Mitigation SolutionsTrauma Resuscitation TherapeuticsBlood and Biologic ProductsTemperature Extreme Injury TreatmentMusculoskeletal Injury TreatmentRadiation Medical CountermeasuresBiodosimetry Screening ToolsPost-exposure Radiation TherapeuticsPreclinical Animal StudiesClinical Trial DesignMedical Device DevelopmentPharmaceutical Candidate DevelopmentTranslational Research |
Infectious Disease CountermeasuresHemorrhage Control and Trauma ResuscitationEnvironmental and Thermal Injury TreatmentForward Treatment of Musculoskeletal InjuriesMedical Countermeasures for Radiation Exposure |
N/A |
AI Summary | Collaboration Graph |
DoW Joint Warfighter Medical, Military Medical Research and Development Award | DHA | HT942526JWMRPMMRDA | N/A | Diarrheal Disease Prevention | Broad-Spectrum Antiviral Development | Hemorrhage Mitigation Solutions | Trauma Resuscitation Therapeutics | Blood and Biologic Products | Temperature Extreme Injury Treatment | Musculoskeletal Injury Treatment | Radiation Medical Countermeasures | Biodosimetry Screening Tools | Post-exposure Radiation Therapeutics | Preclinical Animal Studies | Clinical Trial Design | Medical Device Development | Pharmaceutical Candidate Development | Translational Research | The Fiscal Year 2026 (FY26) Joint Warfighter Medical Research Program (JWMRP) Military Medical Research and Development Award (MMRDA) funds the logical continuation of previously awarded Department of War (DOW) research to accelerate medical solutions for military personnel. A key eligibility criterion is that applicants must have previously received DOW core or Congressional Special Interest funding. The program supports late-stage preclinical studies, technology development, and clinical research, with projects required to be at a Technology/Knowledge Readiness Level (TRL/KRL) of 5 or higher. A specific option, the MMRDA-Clinical Research or Clinical Trial Option (MMRDA-CRCTO), is available for projects involving human subjects. Proposals must address one of the following focus areas: non-vaccine approaches for diarrheal disease and antivirals; hemorrhage mitigation and trauma resuscitation; treatment for temperature-related injuries; forward treatment of musculoskeletal injuries; or medical countermeasures to radiation exposure. The program expects to fund approximately two MMRDA awards up to $1.4M each and two MMRDA-CRCTO awards up to $3.0M each, for a maximum performance period of 3 years. | help@eBRAP.org | Peter Tennessen Natalia Molchanova Eleanor Zizka Jennifer Rosenbluth Yi-Chuan Lu Gerard Marriott Jamie Inman Amy Kronenberg Jian-Hua Mao Reginald Lee | Infectious Disease Countermeasures | Hemorrhage Control and Trauma Resuscitation | Environmental and Thermal Injury Treatment | Forward Treatment of Musculoskeletal Injuries | Medical Countermeasures for Radiation Exposure |
| DoW Orthopaedic, Applied Research Award |
DHA |
Grant |
The Department of War's (DOW) Orthopaedic Research Program (ORP) is offering the Applied Research Award (ARA) to fund applied research focused on advancing optimal treatment and restoring function for... |
2026-11-18T00:00:00 ET |
Battlefield Fracture-Related InfectionComposite Tissue RegenerationNeuromuscular RecoveryHigh-Energy Extremity TraumaLimb Stabilization TechnologiesNovel Wound ProtectantsOsseointegrated ProstheticsMusculoskeletal Rehabilitation StrategiesDiagnostic Decision-Support ToolsPharmacologic Agent DevelopmentBiologic Construct DevelopmentMedical Device DevelopmentPreclinical Animal ModelsIn Vitro / In Vivo Evaluation |
Key Research Areas |
N/A |
AI Summary | Collaboration Graph |
DoW Orthopaedic, Applied Research Award | DHA | HT942526ORPARA | N/A | Battlefield Fracture-Related Infection | Composite Tissue Regeneration | Neuromuscular Recovery | High-Energy Extremity Trauma | Limb Stabilization Technologies | Novel Wound Protectants | Osseointegrated Prosthetics | Musculoskeletal Rehabilitation Strategies | Diagnostic Decision-Support Tools | Pharmacologic Agent Development | Biologic Construct Development | Medical Device Development | Preclinical Animal Models | In Vitro / In Vivo Evaluation | The Department of War's (DOW) Orthopaedic Research Program (ORP) is offering the Applied Research Award (ARA) to fund applied research focused on advancing optimal treatment and restoring function for individuals with orthopaedic injuries from combat or service-related activities. Proposals must address one or more of five specific focus areas: Battlefield Fracture-Related Infection, Composite Tissue Regeneration, Limb Stabilization and Protection, Osteointegration Outcomes, or Return-to-Duty Strategies. This grant requires preliminary data and a strong emphasis on military relevance. The program defines applied research as work that refines concepts into potential solutions and evaluates the technical feasibility of new products, interventions, or technologies. Clinical trials and fundamental basic research are not allowed. The program expects to fund approximately four awards, with a total cost cap of $950,000 per award for a maximum performance period of three years. | help@eBRAP.org | Peter Tennessen Amy Herr Natalia Molchanova Stefan Habelitz Harry Caufield Gerard Marriott Zachary Jones Jian-Hua Mao Yan Chen Reginald Lee | Key Research Areas |
| FY27 Communications and Networking Applied Research Announcement for Office of Naval Research |
Office of Naval Research/ONR 311 |
Solicitation |
The Office of Naval Research (ONR), under BAA Call N0001426SBC11, is soliciting white papers for FY27 Applied Research (Budget category 6.2) projects in Communications and Networking. The program aims... |
2026-11-16T16:00:00 ET |
MIMO Communications SystemsVHF Band Data Links5G & COTS Technology IntegrationSpectral Efficiency TechniquesElectronically Steered AperturesHigh-Frequency Antenna PrototypingLow Probability of Detection CommunicationsElectronic Threat CountermeasuresDistributed Network ControlNetwork Synchronization and SchedulingNetwork Performance Prediction AlgorithmsNetwork Traffic EngineeringRobust Tactical Networking |
Key Research Areas |
CSAETAPSA |
AI Summary | Collaboration Graph |
FY27 Communications and Networking Applied Research Announcement for Office of Naval Research | Office of Naval Research/ONR 311 | N0001426SBC11 | CSA, ETA, PSA | MIMO Communications Systems | VHF Band Data Links | 5G & COTS Technology Integration | Spectral Efficiency Techniques | Electronically Steered Apertures | High-Frequency Antenna Prototyping | Low Probability of Detection Communications | Electronic Threat Countermeasures | Distributed Network Control | Network Synchronization and Scheduling | Network Performance Prediction Algorithms | Network Traffic Engineering | Robust Tactical Networking | The Office of Naval Research (ONR), under BAA Call N0001426SBC11, is soliciting white papers for FY27 Applied Research (Budget category 6.2) projects in Communications and Networking. The program aims to enhance end-to-end connectivity and quality-of-service for naval forces to support the Naval Tactical Grid (NTG). Key areas of interest include: 1) long-range VHF-band data links using 4x4 MIMO and 5G/COTS; 2) compact, electronically-steered apertures for frequencies above Ka-band; 3) low probability-of-detection communication technologies; 4) advanced distributed network control, synchronization, and scheduling techniques; and 5) new algorithms for predicting network performance and traffic engineering. ONR plans to fund five to six awards, ranging from $250,000 to $500,000 per year for up to three years. | Error: Expecting ',' delimiter: line 2 column 38 (char 39) | Ronal Kumar Zhi Jackie Yao Zhi Yao Sung-Joo Yoo Stijn (Stan) Wielandt Dale Carder Prabal Dutta Arpit Gupta Bruce Mah Venkatesh Akella Christopher Tracy Dipak Ghosal Alexandre Bayen Kameshwar Poolla Rich Wolski Amir Kamil | Key Research Areas |
| Command Wide Broad Agency Announcement for Naval Facilities Engineering and Expeditionary Warfare Center (NAVFAC EXWC) Research, Development, Testing, and Evaluation |
NAVFAC/EXWC |
Solicitation |
This document serves as a guide for submitting research abstracts to the Living Marine Resources (LMR) Program (Topic 11) under the NAVFAC EXWC Broad Agency Announcement. The LMR program's mission is ... |
2027-06-14T19:00:00 ET |
Automated Construction SystemsAdvanced Construction MaterialsWaterfront Infrastructure ResilienceCorrosion Control & MetallurgyUndersea Systems EngineeringGeotechnical & Seafloor AnalysisStructural Modeling & AnalysisMicrogrid Control SystemsOperational Technology CybersecurityEnvironmental Remediation TechnologyHydrogeologic InvestigationAcoustic Effects ModelingMarine Species MonitoringMarine Energy GenerationUnmanned Defense Systems |
Marine Species Data Analysis and ModelingEnvironmental Monitoring and Mitigation TechnologiesCompliance Frameworks and Technology Transition |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Command Wide Broad Agency Announcement for Naval Facilities Engineering and Expeditionary Warfare Center (NAVFAC EXWC) Research, Development, Testing, and Evaluation | NAVFAC/EXWC | N39430-26-S-5000 | BSA, CSA, EESA, ESA, ETA, PSA | Automated Construction Systems | Advanced Construction Materials | Waterfront Infrastructure Resilience | Corrosion Control & Metallurgy | Undersea Systems Engineering | Geotechnical & Seafloor Analysis | Structural Modeling & Analysis | Microgrid Control Systems | Operational Technology Cybersecurity | Environmental Remediation Technology | Hydrogeologic Investigation | Acoustic Effects Modeling | Marine Species Monitoring | Marine Energy Generation | Unmanned Defense Systems | This document serves as a guide for submitting research abstracts to the Living Marine Resources (LMR) Program (Topic 11) under the NAVFAC EXWC Broad Agency Announcement. The LMR program's mission is to fund applied research, development, test, and evaluation (RDT&E) that supports the Navy's at-sea environmental compliance and permitting for protected marine species, ensuring uninterrupted training and testing. Submissions must address specific needs detailed on the LMR program website. The guide specifies that abstracts must be a single PDF file, not exceeding ten pages, and must include: contact/organization information (including UEI and CAGE code), a project title, a detailed cost estimate by calendar year (including project management and travel for an annual review in Santa Barbara, CA), a technical approach, offeror and PI experience (with CVs as attachments not counting towards the page limit), project benefits, schedule, and a product implementation plan. Abstracts are to be submitted via email to specified contacts during the open period announced in the BAA. | nicole.m.mendes2.civ@us.navy.mil | Claire Tomlin Evan Um Nicola Falco Philip Long Patty Angus Tao Dai Ben Erichson Andre Santos Omer Savas Margaret Taylor Gilberto Pastorello Alexandre Bayen Yuting Chen Henry Willem Franco Zunino Niklas Mundhenk David McCallen Paul Berdahl Benjamin Flugstad Linqing Luo Helcio Blum Simo Makiharju Yun Song Sabbie Miller Jinwoo Im Kameshwar Poolla Joshua Apte Mark D. Risser Eric Masanet Chris Anderson Harinarayan Krishnan Sean Jungbluth Tsubasa Sasaki Josh North Hannah Klion Thomas Hendrickson Maximilian Auffhammer Dre Helmns Ling Jin | Marine Species Data Analysis and Modeling | Environmental Monitoring and Mitigation Technologies | Compliance Frameworks and Technology Transition |
| Foundational Technologies Directorate (RE) Multiple Authority Announcement (MAA) |
AFRL/RE |
Special Notice |
This document is an Industry Guide for the Air Force Research Laboratory's Foundational Technologies Directorate (AFRL/RE) Multiple Authority Announcement (MAA). The MAA is a comprehensive strategy fo... |
N/A |
Materials Science and EngineeringAdvanced ManufacturingBasic and Applied ResearchPrototype DevelopmentSystem Design and ArchitectureHardware and Component DevelopmentSoftware and Agile DevelopmentTechnology Experimentation and TestingReverse Engineering and ObsolescenceTechnology Maturation and TransitionScientific Data AnalysisSystems Engineering and IntegrationDual-Use Technology R&DProof-of-Concept Demonstration |
|
N/A |
AI Summary | Collaboration Graph |
Foundational Technologies Directorate (RE) Multiple Authority Announcement (MAA) | AFRL/RE | FA2394-24-R-B003 | N/A | Materials Science and Engineering | Advanced Manufacturing | Basic and Applied Research | Prototype Development | System Design and Architecture | Hardware and Component Development | Software and Agile Development | Technology Experimentation and Testing | Reverse Engineering and Obsolescence | Technology Maturation and Transition | Scientific Data Analysis | Systems Engineering and Integration | Dual-Use Technology R&D | Proof-of-Concept Demonstration | This document is an Industry Guide for the Air Force Research Laboratory's Foundational Technologies Directorate (AFRL/RE) Multiple Authority Announcement (MAA). The MAA is a comprehensive strategy for AFRL/RE's Science & Technology (S&T) efforts, consolidating various solicitation authorities like Broad Agency Announcements (BAA), Other Transactions (OTs) for Research and Prototypes, and Assistance Instruments under a single framework. The guide details the solicitation process, which can involve "Calls for Proposal" (fixed deadlines) or "Open Periods" (continuous submission), using either a one-step (full proposal) or two-step (white paper first) approach. It provides extensive instructions on preparing white papers and proposals, including specific formatting, page limitations, and detailed requirements for technical and cost volumes. The primary technical evaluation criteria are the uniqueness and innovation of the approach, understanding of the technical scope, and soundness of the approach, with cost/price being a substantial secondary factor. The guide also specifies AFRL's preference for Unlimited Rights in government-funded data and software and lists prohibited terms for commercial software license agreements. Specific requirements for different award types, such as "Gold Standard Science" for assistance awards and eligibility criteria for OTs, are also outlined. | N/A | Seth Carbon Minok Park Evan Um Karen Bustillo Nicola Falco Patty Angus Tao Dai Cory Snavely Ben Erichson Jason Lowe-Power Michael Mahoney Andre Santos Sukhpreet Kaur Omer Savas Margaret Taylor Gilberto Pastorello Alexandre Bayen Yuting Chen Henry Willem Peter Tennessen Paul Berdahl Benjamin Flugstad Linqing Luo Helcio Blum Simo Makiharju Yun Song Sabbie Miller Joshua Apte Eric Masanet Mark D. Risser Chris Anderson Harinarayan Krishnan Sean Jungbluth Federico Moretti Josh North Hannah Klion Maximilian Auffhammer Dre Helmns Ling Jin |
| Non-Optical Methods for High Speed Protein Control |
DARPA/BTO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) is seeking innovative solutions via the ERIS Marketplace for a new class of rapidly switchable, non-optogenet... |
2026-12-08T17:00:00 ET |
Synthetic BiologyProtein EngineeringNon-Optical Cellular ControlMolecular Tool DevelopmentMagnetogeneticsSonogeneticsBiophysical Signal TransductionIn Vivo System CharacterizationQuantitative Cellular AnalysisSpatiotemporal Protein ControlAllosteric & Dimerization ControlAI/ML for BiologyCell-Based Therapeutics |
Novel Protein Domain Engineering for Non-Optical ControlHigh-Performance System Characterization and OptimizationVersatile Actuation Modalities and Application Frameworks |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Non-Optical Methods for High Speed Protein Control | DARPA/BTO | DARPA-SN-26-89 | BSA, CSA, EESA, ESA, ETA, PSA | Synthetic Biology | Protein Engineering | Non-Optical Cellular Control | Molecular Tool Development | Magnetogenetics | Sonogenetics | Biophysical Signal Transduction | In Vivo System Characterization | Quantitative Cellular Analysis | Spatiotemporal Protein Control | Allosteric & Dimerization Control | AI/ML for Biology | Cell-Based Therapeutics | The Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) is seeking innovative solutions via the ERIS Marketplace for a new class of rapidly switchable, non-optogenetic protein domains for real-time cellular control. The objective is to develop a robust, modular molecular tool regulated by a massless, non-optical external signal, such as magnetic fields or focused ultrasound, to overcome the limitations of optogenetics (e.g., spectral crosstalk). Key technical requirements for the proposed protein domains include activation/deactivation kinetics of ≤ 2 seconds, robust performance for at least 300 repetitions in a living cell, and demonstrated versatility by functioning on both split-protein (dimerization-based) and allosteric (conformation-based) configurations. Solutions that expand or optimize existing optogenetic, light-based, or chemical systems are explicitly out of scope for this effort. | ERIS@darpa.mil | Jennifer Doudna Seth Carbon Rohan Adwankar Thomas Eng Mohammad Kaazem Pur Mofrad John Dueber Amy Herr Hualan Liu Aindrila Mukhopadhyay Grigory Tikhomirov Blake Simmons Aeron Tynes Hammack Linqing Luo Georgios Pavlopoulos Daniel Fletcher Zhao Hao Hector Garcia Martin Jamie Inman Ehud Isacoff Peter Ercius Carolyn Larabell Jennifer Stokes-Draut Anandharaj Marimuthu Jenny Onley Eileen Dawson Banumathi Sankaran | Novel Protein Domain Engineering for Non-Optical Control | High-Performance System Characterization and Optimization | Versatile Actuation Modalities and Application Frameworks |
| Research Interests of the Air Force Office of Scientific Research |
AFRL/AFOSR |
Cooperative Agreement |
The Air Force Office of Scientific Research (AFOSR) has released an open Broad Agency Announcement (BAA) to solicit proposals for fundamental research under the U.S. Air Force Defense Research Science... |
N/A |
Aerospace Structures & MaterialsHigh-Speed AerodynamicsPropulsion & Energy ConversionEnergetic Materials & MechanochemistryComputational Mathematics & ModelingDynamical Systems & ControlQuantum Information ScienceElectromagnetics & PhotonicsCondensed Matter PhysicsUltrashort Pulse Laser PhysicsAstrodynamics & Space PhysicsComputational Neuroscience & CognitionBiophysics & Synthetic BiologyData Fusion & Machine IntelligenceHuman-Autonomy Teaming |
Advanced Aerospace Systems and PropulsionNovel Materials and EnergeticsQuantum, Photonic, and Electromagnetic SystemsComputational Science and Autonomous SystemsBiocognitive Science and Human-Machine SymbiosisSpace Domain Science and Sustainability |
N/A |
AI Summary | Collaboration Graph |
Research Interests of the Air Force Office of Scientific Research | AFRL/AFOSR | FA955026S0001 | N/A | Aerospace Structures & Materials | High-Speed Aerodynamics | Propulsion & Energy Conversion | Energetic Materials & Mechanochemistry | Computational Mathematics & Modeling | Dynamical Systems & Control | Quantum Information Science | Electromagnetics & Photonics | Condensed Matter Physics | Ultrashort Pulse Laser Physics | Astrodynamics & Space Physics | Computational Neuroscience & Cognition | Biophysics & Synthetic Biology | Data Fusion & Machine Intelligence | Human-Autonomy Teaming | The Air Force Office of Scientific Research (AFOSR) has released an open Broad Agency Announcement (BAA) to solicit proposals for fundamental research under the U.S. Air Force Defense Research Sciences Program. The program seeks to discover, shape, and champion revolutionary scientific breakthroughs to support the future needs of the U.S. Air Force and U.S. Space Force. Research interests are detailed across three scientific branches: the Engineering, Information Science, Mathematics and Collaboration Branch (RESA); the Physical Sciences Branch (RESB); and the Bio-Cognitive Branch (RESC). Specific topics include but are not limited to aerodynamics, energetic materials, computational mathematics, quantum information sciences, space physics, biophysics, and human-machine teaming. AFOSR anticipates approximately $200 million for awards, typically funded between $100,000 and $300,000 per year for three to five years. Proposals from academia, non-profits, and industry are reviewed as they are received. The announcement emphasizes adherence to "Gold Standard Science" principles and requires a Fundamental Research Security Review (FRSR) for all key personnel. | afosr.baa@us.af.mil | Kristin Persson Suncica Canic Paul Ashby Moniruzzaman Shaikh Ehud Altman Hartmut Haeffner Qin Yu Kameshwar Poolla Jeremy Munday Christoph Kirst | Advanced Aerospace Systems and Propulsion | Novel Materials and Energetics | Quantum, Photonic, and Electromagnetic Systems | Computational Science and Autonomous Systems | Biocognitive Science and Human-Machine Symbiosis | Space Domain Science and Sustainability |
| ERIS Shopping Notice: High Duty Cycle High Energy Lasers (HEL) for SWaP-Constrained Systems |
DARPA/STO |
Special Notice |
The Defense Advanced Research Projects Agency (DARPA) Strategic Technologies Office (STO) is seeking innovative solutions for moderate power (100W-20kW) High-Energy Lasers (HEL) designed for Size, Wei... |
2026-11-30T17:00:00 ET |
High Energy Laser (HEL) TechnologySWaP Constrained System DesignHigh Duty Cycle Laser OperationLaser Thermal ManagementHeat Exhaust and TransportAdvanced Laser GenerationLaser Cooling ArchitecturesLaser System ArchitectureLaser Beam CoherenceLaser Phase ControlLaser Beam TuningLaser Power ScalingWavelength FlexibilityDirected Energy SystemsUAV Platform Integration |
Novel High-Energy Laser (HEL) Architectures for SWaP EnvironmentsAdvanced Thermal Management for High Duty Cycle OperationBeam Quality, Control, and Coherence |
EESAESAETAPSA |
AI Summary | Collaboration Graph |
ERIS Shopping Notice: High Duty Cycle High Energy Lasers (HEL) for SWaP-Constrained Systems | DARPA/STO | DARPA-SN-26-82 | EESA, ESA, ETA, PSA | High Energy Laser (HEL) Technology | SWaP Constrained System Design | High Duty Cycle Laser Operation | Laser Thermal Management | Heat Exhaust and Transport | Advanced Laser Generation | Laser Cooling Architectures | Laser System Architecture | Laser Beam Coherence | Laser Phase Control | Laser Beam Tuning | Laser Power Scaling | Wavelength Flexibility | Directed Energy Systems | UAV Platform Integration | The Defense Advanced Research Projects Agency (DARPA) Strategic Technologies Office (STO) is seeking innovative solutions for moderate power (100W-20kW) High-Energy Lasers (HEL) designed for Size, Weight, and Power (SWaP) constrained systems like armored personnel carriers and unmanned aerial vehicles. The primary technical objective is to achieve a high duty cycle for continuous or repeated operation, rather than maximizing peak power. The focus is on novel engineering designs and architectures that solve the critical challenge of heat management, including efficient heat exhaust and transport, to maintain laser beam quality and operational stability. Submissions should present scalable HEL architectures with innovative cooling solutions applicable for defense and commercial use. | ERIS@darpa.mil | Anthony Gonsalves Jose Luis Rudeiros Fernandez Costas P. Grigoropoulos Antoine Islegen-Wojdyla Vassilia Zorba Jeroen van Tilborg Dongwoo Paeng Hao Ding Samuel Barber Nihar Shah Valeriy Yashchuk Tengming Shen Mackinley Kath Fanting Kong Sumanjeet Kaur Holger Mueller Siyun Chen Chris Dames Peter Tennessen Pramod Bhuvankar Evan Johnson Tong Zhou Linqing Luo Qiang Du Ravi Prasher Mengjie Yu Cameron Geddes Russell Wilcox Venkatesh Akella Stephen Leone Xiong Peng Arnaud Allezy Donghun Kim | Novel High-Energy Laser (HEL) Architectures for SWaP Environments | Advanced Thermal Management for High Duty Cycle Operation | Beam Quality, Control, and Coherence |
| DoW Toxic Exposures Investigator Initiated Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Toxic Exposures Research Program (TERP) Investigator-Initiated Research Award (IIRA) supports studies contributing to research and patient care for diseases associated with... |
2026-11-19T00:00:00 ET |
Toxic Exposure Health EffectsReproductive ToxicologyMultigenerational Health EffectsNeurotoxicology ResearchEnvironmental Exposure MonitoringExposure Biomarker DiscoveryDiagnostic Assay DevelopmentTherapeutic DevelopmentPreclinical Model DevelopmentGulf War Illness ResearchAirborne Hazard ResearchEpidemiological ResearchTranslational ResearchBiostatistics and Data Analysis |
Predictive and Preventive Strategies for Toxic ExposuresDiagnostics and Mechanistic Understanding of Toxic ExposuresTherapeutic Development for Toxic Exposure-Related Conditions |
N/A |
AI Summary | Collaboration Graph |
DoW Toxic Exposures Investigator Initiated Research Award | DHA | HT942526TERPIIRA | N/A | Toxic Exposure Health Effects | Reproductive Toxicology | Multigenerational Health Effects | Neurotoxicology Research | Environmental Exposure Monitoring | Exposure Biomarker Discovery | Diagnostic Assay Development | Therapeutic Development | Preclinical Model Development | Gulf War Illness Research | Airborne Hazard Research | Epidemiological Research | Translational Research | Biostatistics and Data Analysis | The Fiscal Year 2026 (FY26) Toxic Exposures Research Program (TERP) Investigator-Initiated Research Award (IIRA) supports studies contributing to research and patient care for diseases associated with military-related toxic exposures. This award is open to independent investigators at all career levels. The scope of research can range from basic laboratory to translational research, including preclinical studies, human subject research, correlative studies, and New Approach Methodologies. Clinical trials are explicitly excluded. Applicants must provide preliminary data and address at least one of the FY26 TERP program goals (Predict and Prevent; Diagnose; Treat) and one topic area (Neurotoxin Exposure; Gulf War Illness and Its Treatment; Airborne Hazards and Burn Pits; or Other Military Service-Related Toxic Exposures). The award provides a maximum of $800,000 in total costs for a performance period of up to 3 years. Approximately three awards are expected to be funded. | help@eBRAP.org | Stephanie Holm Li-Wen (Audrey) Wang Andrew Wyrobek Zixi Hu Jennifer Rosenbluth Philip Long Thomas McKone Michelle O'Malley Jian-Hua Mao Joshua Apte | Predictive and Preventive Strategies for Toxic Exposures | Diagnostics and Mechanistic Understanding of Toxic Exposures | Therapeutic Development for Toxic Exposure-Related Conditions |
| DoW Toxic Exposures Clinical Trial Award |
DHA |
Grant |
This is a Grant or Cooperative Agreement from the Defense Health Agency's (DHA) Fiscal Year 2026 (FY26) Toxic Exposures Research Program (TERP) for a Clinical Trial Award (CTA). The award (HT942526TER... |
2026-11-19T00:00:00 ET |
Clinical Trial DesignToxic Exposure Health EffectsPharmacologic InterventionsMedical Device EvaluationBiomarker IdentificationDiagnostic Assay DevelopmentEnvironmental Exposure MonitoringReproductive Health ToxicologyNeurotoxin Exposure ResearchGulf War Illness (GWI) ResearchAirborne Hazards ResearchStatistical Analysis & ModelingHuman Biospecimen AnalysisMechanistic ToxicologyCommon Data Element (CDE) Integration |
Prevention and Risk Prediction of Toxic Exposure EffectsDiagnosis and Biomarker Identification for Exposure-Related ConditionsTherapeutic and Management Strategies for Exposure-Related Health Outcomes |
N/A |
AI Summary | Collaboration Graph |
DoW Toxic Exposures Clinical Trial Award | DHA | HT942526TERPCTA | N/A | Clinical Trial Design | Toxic Exposure Health Effects | Pharmacologic Interventions | Medical Device Evaluation | Biomarker Identification | Diagnostic Assay Development | Environmental Exposure Monitoring | Reproductive Health Toxicology | Neurotoxin Exposure Research | Gulf War Illness (GWI) Research | Airborne Hazards Research | Statistical Analysis & Modeling | Human Biospecimen Analysis | Mechanistic Toxicology | Common Data Element (CDE) Integration | This is a Grant or Cooperative Agreement from the Defense Health Agency's (DHA) Fiscal Year 2026 (FY26) Toxic Exposures Research Program (TERP) for a Clinical Trial Award (CTA). The award (HT942526TERPCTA) supports the advancement and execution of clinical trials—ranging from small proof-of-concept to large-scale efficacy studies—with the potential to significantly impact the prevention, treatment, or management of health conditions associated with military-related toxic exposures. The program anticipates funding one award with a total cost cap of $4.5 million over a maximum performance period of four years. A key feature is the Partnering Principal Investigator Option (PPIO) to encourage interdisciplinary collaboration. Applicants must propose a clinical trial (preclinical research is not supported), provide preliminary data, and address at least one of the TERP program goals (Predict and Prevent, Diagnose, Treat) and one of its topic areas (Neurotoxin Exposure; Gulf War Illness and Its Treatment; Airborne Hazards and Burn Pits; or Other Military Service-Related Toxic Exposures). Pre-applications are due by August 19, 2026, with full applications due by November 19, 2026, upon invitation. | help@eBRAP.org | Stephanie Holm Caleb Arata Li-Wen (Audrey) Wang Andrew Wyrobek Chris Mungall Likun Zhang Jennifer Rosenbluth Henry Willem Jian-Hua Mao Joshua Apte | Prevention and Risk Prediction of Toxic Exposure Effects | Diagnosis and Biomarker Identification for Exposure-Related Conditions | Therapeutic and Management Strategies for Exposure-Related Health Outcomes |
| DoW Toxic Exposures Translational Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Toxic Exposures Research Program (TERP) Translational Research Award (TRA) supports research to accelerate the translation of promising ideas related to military toxic expo... |
2026-11-19T00:00:00 ET |
Translational ScienceMechanistic ToxicologyBiomarker Identification & ValidationDiagnostic Assay DevelopmentTherapeutic DevelopmentPreclinical Model DevelopmentEpidemiological StudiesEnvironmental Exposure MonitoringComplex Exposure AssessmentNeurotoxicology ResearchReproductive & Multigenerational HealthHuman Subjects ResearchStatistical Modeling & Data AnalysisNew Approach Methodologies (NAMs)Correlative Clinical Studies |
Prediction and Prevention of Toxic Exposure EffectsDiagnosis and Prognosis of Exposure-Related ConditionsTreatment and Management of Exposure-Associated Illnesses |
N/A |
AI Summary | Collaboration Graph |
DoW Toxic Exposures Translational Research Award | DHA | HT942526TERPTRA | N/A | Translational Science | Mechanistic Toxicology | Biomarker Identification & Validation | Diagnostic Assay Development | Therapeutic Development | Preclinical Model Development | Epidemiological Studies | Environmental Exposure Monitoring | Complex Exposure Assessment | Neurotoxicology Research | Reproductive & Multigenerational Health | Human Subjects Research | Statistical Modeling & Data Analysis | New Approach Methodologies (NAMs) | Correlative Clinical Studies | The Fiscal Year 2026 (FY26) Toxic Exposures Research Program (TERP) Translational Research Award (TRA) supports research to accelerate the translation of promising ideas related to military toxic exposures into clinical applications such as healthcare products, interventions, technologies, or clinical practice guidelines. With an approximate $6.0M allotment, the program expects to fund about four awards, each with a total cost cap of $1.5M for a maximum performance period of three years. A key feature is the Partnering Principal Investigator Option (PPIO) to encourage interdisciplinary collaborations. Proposed projects must address at least one TERP program goal (Predict and Prevent, Diagnose, Treat) and one topic area (e.g., Neurotoxin Exposure, Gulf War Illness, Airborne Hazards). While clinical trials are not allowed, preclinical and clinical research are permitted. Applications must include preliminary data, demonstrate a clear translational pathway, and articulate the project's potential impact on Service Members, Veterans, and their families. | help@eBRAP.org | Stephanie Holm Josh North Marion Russell Li-Wen (Audrey) Wang Zixi Hu Andrew Wyrobek Jennifer Rosenbluth Thomas McKone Jian-Hua Mao Joshua Apte | Prediction and Prevention of Toxic Exposure Effects | Diagnosis and Prognosis of Exposure-Related Conditions | Treatment and Management of Exposure-Associated Illnesses |
| MXO Office-wide Innovative Solutions Opening |
DARPA/MXO |
Solicitation |
The Defense Advanced Research Projects Agency (DARPA) Multi X Office (MXO) has issued an Office-wide Innovative Solutions Opening (DARPA-PS-26-115), a long-term open call for revolutionary research id... |
2027-06-04T16:00:00 ET |
Advanced Materials ScienceBeyond-CMOS TechnologiesSecure Hardware DesignNovel Component TechnologiesScalable Hardware ProductionAdvanced Manufacturing ProcessesIndigenous Technology DevelopmentNovel Sensing ModalitiesAdvanced Computing ParadigmsResilient Communication SystemsApplied Physics for DevicesHybrid Electronic-Physical SystemsMicrosystems Technology |
Resilient Beyond-CMOS Materials and ComponentsSecure and Indigenous Technology DevelopmentNew Modalities for Mission Effects |
CSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
MXO Office-wide Innovative Solutions Opening | DARPA/MXO | DARPA-PS-26-115 | CSA, EESA, ESA, ETA, LD, PSA | Advanced Materials Science | Beyond-CMOS Technologies | Secure Hardware Design | Novel Component Technologies | Scalable Hardware Production | Advanced Manufacturing Processes | Indigenous Technology Development | Novel Sensing Modalities | Advanced Computing Paradigms | Resilient Communication Systems | Applied Physics for Devices | Hybrid Electronic-Physical Systems | Microsystems Technology | The Defense Advanced Research Projects Agency (DARPA) Multi X Office (MXO) has issued an Office-wide Innovative Solutions Opening (DARPA-PS-26-115), a long-term open call for revolutionary research ideas that fall outside the scope of existing DARPA programs. The solicitation explicitly excludes research leading to only evolutionary improvements. A two-step submission process is required: proposers must first submit an abstract on a rolling basis until April 23, 2027, and will only be eligible to submit a full proposal upon receiving a government invitation. The technical areas of interest are divided into three thrusts: (1) Materials and components beyond CMOS to create new resilient and secure technological foundations; (2) Tools and processes to support indigenous development, create domestic supply chains, and reduce foreign reliance; and (3) New modalities, including novel physics and hybrid approaches, to achieve mission effects in sensing, computing, and communication. Multiple awards are anticipated in the form of Other Transaction Agreements (OTAs) and Experimental Transaction Agreements (ETAs), with the solicitation closing on June 4, 2027. | DARPA-PS-26-115@darpa.mil | Prakash Rao Jeffrey Urban Minok Park Alp Sipahigil Nihan Karali Costas P. Grigoropoulos Reynold Cooper Sayeef Salahuddin Peng Peng Ran Cheng Guoying Chen Alex Newkirk Andre Santos Prabal Dutta Lane Martin Junqiao Wu Shawn Tornga Carolin Sutter-Fella Nica Campbell Angelos Ioannou Unique Karki Kin Yu Abhi Rajagopala Linqing Luo Hannah Parrilla Wei Liu Zhao Hao Daryl Chrzan Jayson Vavrek Tara Mishra Thomas Hendrickson Jennifer Stokes-Draut Georgios Michelogiannakis Venkatesh Akella Sunhee Baik Scott Beamer Luisa Gonzalez | Resilient Beyond-CMOS Materials and Components | Secure and Indigenous Technology Development | New Modalities for Mission Effects |
| DoW Vision, Clinical Trial Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Vision Research Program (VRP) Clinical Trial Award (CTA), funding opportunity HT942526VRPCTA, supports the rapid implementation of clinical trials with the potential to sig... |
2026-11-12T00:00:00 ET |
Clinical Trial DesignOcular Injury TreatmentVisual Dysfunction ResearchTraumatic Brain Injury (TBI) ResearchAustere Environment Medical CareProlonged Field Care TechnologiesVisual Function RestorationPharmacologic Agent DevelopmentInvestigational Medical DevicesSurgical InterventionsBiostatistics and Data AnalysisRegulatory Science (IND/IDE)Human Subjects ResearchPreclinical PharmacologyBiospecimen Science |
Key Research Areas |
N/A |
AI Summary | Collaboration Graph |
DoW Vision, Clinical Trial Award | DHA | HT942526VRPCTA | N/A | Clinical Trial Design | Ocular Injury Treatment | Visual Dysfunction Research | Traumatic Brain Injury (TBI) Research | Austere Environment Medical Care | Prolonged Field Care Technologies | Visual Function Restoration | Pharmacologic Agent Development | Investigational Medical Devices | Surgical Interventions | Biostatistics and Data Analysis | Regulatory Science (IND/IDE) | Human Subjects Research | Preclinical Pharmacology | Biospecimen Science | The Fiscal Year 2026 (FY26) Vision Research Program (VRP) Clinical Trial Award (CTA), funding opportunity HT942526VRPCTA, supports the rapid implementation of clinical trials with the potential to significantly impact the treatment or management of service-connected eye injury and visual dysfunction. Proposed research must align with at least one of the specified FY26 VRP Focus Areas. The award is intended for a range of clinical trials, from small proof-of-concept to large-scale efficacy studies. A critical requirement is that for interventions needing an Investigational New Drug (IND) or Investigational Device Exemption (IDE), the application must be submitted to the regulatory agency by the CTA application deadline, and documentation indicating the application is 'active/safe to proceed' must be provided by March 1, 2027. The program expects to fund approximately one award with a total cost cap of $2.6 million over a maximum period of three years. | help@eBRAP.org | Karthik Shekhar Kevin Fan Zixi Hu Eleanor Zizka Amy Kronenberg Aris Polyzos Gerard Marriott Jamie Inman Michelle O'Malley Drew Paine | Key Research Areas |
| DoW Spinal Cord Injury, Investigator-Initiated Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Spinal Cord Injury Research Program (SCIRP) Investigator-Initiated Research Award (IIRA) supports studies with the potential to make a significant contribution to spinal co... |
2026-11-12T00:00:00 ET |
Spinal Cord Injury ResearchAcute Injury InterventionsNeuroprotection StrategiesPharmacologic TherapiesRehabilitation InterventionsRegenerative MedicineNeuroplasticity ResearchSecondary Health Effects ManagementPsychosocial Intervention ResearchPreclinical Animal ModelsTranslational ScienceHuman Subjects ResearchBiostatistical Data AnalysisMedical Device DevelopmentRigorous Study Design |
Acute Injury InterventionSecondary Health Effects ManagementPsychosocial Well-BeingRehabilitation and Regeneration |
N/A |
AI Summary | Collaboration Graph |
DoW Spinal Cord Injury, Investigator-Initiated Research Award | DHA | HT942526SCIRPIIRA | N/A | Spinal Cord Injury Research | Acute Injury Interventions | Neuroprotection Strategies | Pharmacologic Therapies | Rehabilitation Interventions | Regenerative Medicine | Neuroplasticity Research | Secondary Health Effects Management | Psychosocial Intervention Research | Preclinical Animal Models | Translational Science | Human Subjects Research | Biostatistical Data Analysis | Medical Device Development | Rigorous Study Design | The Fiscal Year 2026 (FY26) Spinal Cord Injury Research Program (SCIRP) Investigator-Initiated Research Award (IIRA) supports studies with the potential to make a significant contribution to spinal cord injury (SCI) research, patient care, and/or quality of life. The award supports a range of research from basic to translational science but discourages studies solely focused on identifying intervention targets. All proposed research must align with one of four program priority areas: Acute Injury Intervention, Secondary Health Effects, Psychosocial Well-Being, or Rehabilitation and Regeneration. This funding opportunity includes an Early-Career Partnership Option, allowing for two Principal Investigators (PIs) if at least one is an early-career investigator. The total anticipated funding is approximately $4.96M, intended for about 6 awards. The maximum award is $800,000 in total costs for a single PI or $960,000 for the Early-Career Partnership Option over a 3-year period. Clinical trials are not allowed. The application process is two-tiered, with a pre-application due August 3, 2026, and an invited full application due November 12, 2026. | help@eBRAP.org | Peter Tennessen Kevin Fan Grace Lau Zixi Hu Jennifer Rosenbluth Yi-Chuan Lu Gerard Marriott Michelle O'Malley Jian-Hua Mao Drew Paine | Acute Injury Intervention | Secondary Health Effects Management | Psychosocial Well-Being | Rehabilitation and Regeneration |
| DoW Spinal Cord Injury, Clinical Trial Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Spinal Cord Injury Research Program (SCIRP) Clinical Trial Award (CTA) supports the rapid implementation of clinical trials to significantly impact the treatment or managem... |
2026-11-12T00:00:00 ET |
Spinal Cord Injury ResearchClinical Trial DesignPharmacologic InterventionsMedical Device DevelopmentRehabilitation TherapiesRegenerative MedicineNeuroplasticity InterventionsAcute Injury InterventionsSecondary Health Effects ManagementPsychosocial Intervention ResearchBiostatistics and Data AnalysisDecentralized Clinical TrialsCommunity-Based Participatory ResearchClinical Outcome Assessment |
Acute Injury InterventionSecondary Health Effects ManagementPsychosocial Well-BeingRehabilitation and Regeneration |
N/A |
AI Summary | Collaboration Graph |
DoW Spinal Cord Injury, Clinical Trial Award | DHA | HT942526SCIRPCTA | N/A | Spinal Cord Injury Research | Clinical Trial Design | Pharmacologic Interventions | Medical Device Development | Rehabilitation Therapies | Regenerative Medicine | Neuroplasticity Interventions | Acute Injury Interventions | Secondary Health Effects Management | Psychosocial Intervention Research | Biostatistics and Data Analysis | Decentralized Clinical Trials | Community-Based Participatory Research | Clinical Outcome Assessment | The Fiscal Year 2026 (FY26) Spinal Cord Injury Research Program (SCIRP) Clinical Trial Award (CTA) supports the rapid implementation of clinical trials to significantly impact the treatment or management of spinal cord injury (SCI). With approximately $9.76M allocated to fund about two awards, the funding has a total cost cap of $4.8M for single-PI projects or $4.96M for an Early-Career Partnership Option, over a maximum 4-year performance period. This funding opportunity is strictly for clinical trials, ranging from small proof-of-concept to large-scale studies, and does not support preclinical research. Distinctive features include the Early-Career Partnership Option allowing for two PIs (one must be early-career), and a mandatory requirement for all applicants to name at least two SCI community partners for consultation. Proposed research must address one of four program priority areas: Acute Injury Intervention, Secondary Health Effects, Psychosocial Well-Being, or Rehabilitation and Regeneration. For studies involving investigational products, an IND or IDE application must be submitted to the relevant regulatory agency prior to the grant application deadline. | N/A | Peter Tennessen Stephanie Holm Seth Carbon Kevin Fan Grace Lau Zixi Hu Yi-Chuan Lu Gerard Marriott Amy Kronenberg Alan Meier | Acute Injury Intervention | Secondary Health Effects Management | Psychosocial Well-Being | Rehabilitation and Regeneration |
| DoW Spinal Cord Injury, Translational Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Spinal Cord Injury Research Program (SCIRP) Translational Research Award (TRA) supports translational research to accelerate the movement of promising ideas in spinal cord ... |
2026-11-12T00:00:00 ET |
Spinal Cord Injury ResearchTranslational Medical ResearchPreclinical Animal ModelsPharmacologic InterventionsMedical Device DevelopmentNeuro-Regenerative TherapiesRehabilitation ScienceNeuroplasticity InterventionsPilot Clinical TrialsClinical Trial DesignHuman Subjects ResearchBiostatistical Data AnalysisAcute Injury InterventionsManagement of SCI ComplicationsPsychosocial Interventions |
Acute Injury InterventionSecondary Health Effects ManagementPsychosocial Well-BeingRehabilitation and Regeneration |
N/A |
AI Summary | Collaboration Graph |
DoW Spinal Cord Injury, Translational Research Award | DHA | HT942526SCIRPTRA | N/A | Spinal Cord Injury Research | Translational Medical Research | Preclinical Animal Models | Pharmacologic Interventions | Medical Device Development | Neuro-Regenerative Therapies | Rehabilitation Science | Neuroplasticity Interventions | Pilot Clinical Trials | Clinical Trial Design | Human Subjects Research | Biostatistical Data Analysis | Acute Injury Interventions | Management of SCI Complications | Psychosocial Interventions | The Fiscal Year 2026 (FY26) Spinal Cord Injury Research Program (SCIRP) Translational Research Award (TRA) supports translational research to accelerate the movement of promising ideas in spinal cord injury (SCI) research into clinical applications. The program encourages research across the continuum of care and requires proposals to address at least one of four priority areas: Acute Injury Intervention, Secondary Health Effects, Psychosocial Well-Being, or Rehabilitation and Regeneration. Distinctive features of this award include a mandatory requirement for applicants to include at least one SCI community partner for consultation and an optional Early-Career Partnership track which allows for two Principal Investigators (PIs), one of whom must be an early-career investigator. The award supports a range of studies, including preclinical evaluation, clinical studies, and small pilot clinical trials as part of a larger project. The maximum period of performance is 3 years, with a total cost cap of $2.0M for single PI applications and $2.16M for the Early-Career Partnership Option. | help@eBRAP.org | Peter Tennessen Karthik Shekhar Kevin Fan Zixi Hu Eleanor Zizka Jennifer Rosenbluth Gerard Marriott Steven Hofmeyr Jian-Hua Mao Drew Paine | Acute Injury Intervention | Secondary Health Effects Management | Psychosocial Well-Being | Rehabilitation and Regeneration |
| DoW Spinal Cord Injury, Clinical Translation Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Spinal Cord Injury Research Program (SCIRP) Clinical Translation Research Award (CTRA) supports high-impact clinical research, including feasibility, pilot, or optimization... |
2026-11-12T00:00:00 ET |
Spinal Cord Injury ResearchClinical Translation ResearchClinical Trial DesignFeasibility and Pilot StudiesIntervention OptimizationRehabilitation TherapiesRegenerative MedicineNeuroplasticity InterventionsAcute Injury InterventionsPharmacologic InterventionsMedical Device DevelopmentSecondary Health Effects ManagementPsychosocial Intervention ResearchDecentralized Clinical TrialsBiostatistics and Data Analysis |
Acute Injury InterventionManaging Secondary Health Effects of SCIPsychosocial Well-Being for the SCI CommunityRehabilitation and Regenerative Therapies |
N/A |
AI Summary | Collaboration Graph |
DoW Spinal Cord Injury, Clinical Translation Research Award | DHA | HT942526SCIRPCTRA | N/A | Spinal Cord Injury Research | Clinical Translation Research | Clinical Trial Design | Feasibility and Pilot Studies | Intervention Optimization | Rehabilitation Therapies | Regenerative Medicine | Neuroplasticity Interventions | Acute Injury Interventions | Pharmacologic Interventions | Medical Device Development | Secondary Health Effects Management | Psychosocial Intervention Research | Decentralized Clinical Trials | Biostatistics and Data Analysis | The Fiscal Year 2026 (FY26) Spinal Cord Injury Research Program (SCIRP) Clinical Translation Research Award (CTRA) supports high-impact clinical research, including feasibility, pilot, or optimization studies, to prepare for larger-scale clinical trials or implementation. The award's objectives are to accelerate the clinical translation of interventions by de-risking future trials and to identify effective diagnosis, treatment, and rehabilitation options to inform decision-making. Proposed research must be prospective and may not include animal studies. All projects must address one of four program priority areas: Acute Injury Intervention, Secondary Health Effects, Psychosocial Well-Being, or Rehabilitation and Regeneration. Distinctive features include a mandatory requirement to include at least two spinal cord injury (SCI) community partners and an Early-Career Partnership Option for two PIs. The maximum period of performance is 3 years. Funding is capped at $2.0M for single PI applications and $2.16M for the Early-Career Partnership Option, with approximately $6.12M available to fund about three awards. | help@eBRAP.org | Peter Tennessen Stephanie Holm Kevin Fan Grace Lau Zixi Hu Eleanor Zizka Gregory Lemieux Yi-Chuan Lu Jennifer Rosenbluth Gerard Marriott | Acute Injury Intervention | Managing Secondary Health Effects of SCI | Psychosocial Well-Being for the SCI Community | Rehabilitation and Regenerative Therapies |
| DoW Vision, Investigator-Initiated Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Vision Research Program (VRP) Investigator-Initiated Research Award (IIRA) supports basic to early translational research focused on yielding impactful discoveries or major... |
2026-11-12T00:00:00 ET |
Traumatic Eye Injury ResearchTBI-Related Visual DysfunctionBasic Vision ScienceTranslational Vision ResearchPreclinical In-Vivo/In-Vitro ModelsClinical Vision ResearchOcular Diagnostic MethodsAustere Environment TreatmentsProlonged Field CareVision Restoration TherapiesVisual Function RehabilitationNeuro-OphthalmologyBiostatistics and Power AnalysisResearch Data Sharing |
Key Research Areas |
N/A |
AI Summary | Collaboration Graph |
DoW Vision, Investigator-Initiated Research Award | DHA | HT942526VRPIIRA | N/A | Traumatic Eye Injury Research | TBI-Related Visual Dysfunction | Basic Vision Science | Translational Vision Research | Preclinical In-Vivo/In-Vitro Models | Clinical Vision Research | Ocular Diagnostic Methods | Austere Environment Treatments | Prolonged Field Care | Vision Restoration Therapies | Visual Function Rehabilitation | Neuro-Ophthalmology | Biostatistics and Power Analysis | Research Data Sharing | The Fiscal Year 2026 (FY26) Vision Research Program (VRP) Investigator-Initiated Research Award (IIRA) supports basic to early translational research focused on yielding impactful discoveries or major advancements in the research and patient care of eye injury and visual dysfunction related to military exposure. This award supports preclinical studies and clinical research, but explicitly excludes clinical trials. All research must align with one of three FY26 VRP Focus Areas: understanding and treating military-related eye injury/visual dysfunction, diagnosing and treating eye injuries in austere environments, or restoring visual function after vision loss. The IIRA offers two funding levels: Level 1 supports exploratory, high-risk/high-reward research with up to $400,000 in total costs over a 2-year period, with preliminary data being optional. Level 2 supports more mature research advancing toward clinical translation with up to $1.2 million in total costs over a 3-year period, requiring preliminary data and offering a Partnering Principal Investigator Option (PPIO) for collaborative projects. | help@eBRAP.org | Karthik Shekhar Kevin Fan Neil Byers Hannah Cohoon Jennifer Rosenbluth Yi-Chuan Lu Gerard Marriott Jamie Inman Amy Kronenberg Jian-Hua Mao | Key Research Areas |
| DoW Vision, Translational Research Award |
DHA |
Grant |
The Fiscal Year 2026 (FY26) Vision Research Program (VRP) Translational Research Award (TRA) supports translational research aimed at transforming promising discoveries into new drugs, devices, or cli... |
2026-11-12T00:00:00 ET |
Translational Medical ResearchVision Science ResearchOcular Trauma ResearchTraumatic Brain Injury (TBI) ResearchTherapeutic Drug DevelopmentMedical Device DevelopmentClinical Practice Guideline DevelopmentPilot Clinical Trial DesignClinical Research MethodologyPreclinical Animal ModelsIn Vitro & Organoid ModelsRegulatory Science (IND/IDE)Good Laboratory/Clinical Practices (GLP/GCP)Biostatistical AnalysisVisual Function Restoration |
Key Research Areas |
N/A |
AI Summary | Collaboration Graph |
DoW Vision, Translational Research Award | DHA | HT942526VRPTRA | N/A | Translational Medical Research | Vision Science Research | Ocular Trauma Research | Traumatic Brain Injury (TBI) Research | Therapeutic Drug Development | Medical Device Development | Clinical Practice Guideline Development | Pilot Clinical Trial Design | Clinical Research Methodology | Preclinical Animal Models | In Vitro & Organoid Models | Regulatory Science (IND/IDE) | Good Laboratory/Clinical Practices (GLP/GCP) | Biostatistical Analysis | Visual Function Restoration | The Fiscal Year 2026 (FY26) Vision Research Program (VRP) Translational Research Award (TRA) supports translational research aimed at transforming promising discoveries into new drugs, devices, or clinical practice guidelines that are prepared for definitive testing in clinical trials. This award may fund preclinical studies, clinical research, or a pilot clinical trial, but not a full-scale clinical trial. Proposed research must align with at least one of the FY26 VRP Focus Areas, which include treating military-related eye injury/visual dysfunction, diagnosis and treatment in austere environments, and restoring visual function. The award has a total cost cap of $1.6 million over a maximum 3-year period of performance. Distinctive features include a Partnering Principal Investigator (PI) Option for two PIs and a requirement for regulatory expertise on teams developing new drugs or devices. Applications are evaluated based on research idea, strategy, feasibility, impact, personnel, a post-award transition plan, and relevance to military health. | help@eBRAP.org | Peter Tennessen Karthik Shekhar Kevin Fan Carolyn Larabell Zixi Hu Jennifer Rosenbluth Aris Polyzos Gerard Marriott Jian-Hua Mao Reginald Lee | Key Research Areas |
| All-domain Radiant Optical Research and Applications (ARORA) |
AFRL/RYKS |
Solicitation |
This document outlines a model Cost-Plus-Fixed-Fee (CPFF) contract for the All-domain Radiant Optical Research and Applications (ARORA) program, solicitation number FA237726RB007, issued by the Air Fo... |
2031-04-30T16:30:00 ET |
Photonic Technology DevelopmentRadiant Optical ResearchPrototype Design & FabricationPrototype Technology TestingDirected Energy SystemsInfrared SensingAdvanced Signal ProcessingElectronic WarfarePositioning, Navigation, and Timing (PNT)Spectral Agility ResearchAlgorithm DevelopmentModeling and SimulationHardware DevelopmentSoftware Development |
Directed Energy PhotonicsAdvanced Optical Sensing and ProcessingPhotonic Applications for Electronic Warfare and PNT |
EESAESAETALDPSA |
AI Summary | Collaboration Graph |
All-domain Radiant Optical Research and Applications (ARORA) | AFRL/RYKS | FA2377-26-R-B007 | EESA, ESA, ETA, LD, PSA | Photonic Technology Development | Radiant Optical Research | Prototype Design & Fabrication | Prototype Technology Testing | Directed Energy Systems | Infrared Sensing | Advanced Signal Processing | Electronic Warfare | Positioning, Navigation, and Timing (PNT) | Spectral Agility Research | Algorithm Development | Modeling and Simulation | Hardware Development | Software Development | This document outlines a model Cost-Plus-Fixed-Fee (CPFF) contract for the All-domain Radiant Optical Research and Applications (ARORA) program, solicitation number FA237726RB007, issued by the Air Force Research Laboratory (AFRL). The program is a research and development initiative focused on designing, fabricating, and testing prototype photonic technologies to advance national defense capabilities. Key technical areas include directed energy, infrared sensing, signal processing, electronic warfare, PNT, and spectral agility. The primary R&D effort (CLIN 0001) has an estimated value of $30,000,000. Deliverables include the R&D itself, as well as any developed or acquired computer software (e.g., algorithms, source code, models) and hardware. The contract has a DO-A7 rating under the Defense Priorities and Allocations System (DPAS) and a period of performance through January 1, 2035. The contract also specifies significant security requirements, including CMMC compliance and adherence to Wright Research Site security protocols. | lauren.lozan@us.af.mil | Marco Salathe Alp Sipahigil Michael Werner Zuerch Costas P. Grigoropoulos Nicola Falco Antoine Islegen-Wojdyla Vassilia Zorba Jeroen van Tilborg Samuel Barber Kaushalya Jhuria Andre Santos Sukhpreet Kaur Oscar Antepara Shawn Tornga Fanting Kong Zachary Needell Siyun Chen Peter Tennessen Mark Bandstra Linqing Luo Qiang Du Gregory Lemieux Mengjie Yu Cameron Geddes Florian Soom Wei Liu Zhao Hao Stephanie Gilbert Corder Jayson Vavrek Stijn (Stan) Wielandt Boubacar Kante Davide Terzani | Directed Energy Photonics | Advanced Optical Sensing and Processing | Photonic Applications for Electronic Warfare and PNT |
| AFRL Enterprise CSO: Centralized Open Spiral |
AFRL/RE |
Combined Synopsis/Solicitation |
This document outlines a Centralized, Open Two-Step Spiral Commercial Solutions Opening (CSO), FA8652-26-S-C005, issued by the Air Force Research Laboratory (AFRL). It is soliciting innovative solutio... |
2027-04-30T17:00:00 ET |
Foundational Technology ResearchAdvanced Component DevelopmentOperational Systems DevelopmentInnovative Solutions EngineeringMaterials Science and EngineeringQuantum Information ScienceAdvanced Propulsion SystemsMicroelectronics and PhotonicsAutonomous SystemsArtificial Intelligence and Machine LearningDirected Energy SystemsHypersonic TechnologiesComputational Modeling and Simulation |
|
N/A |
AI Summary | Collaboration Graph |
AFRL Enterprise CSO: Centralized Open Spiral | AFRL/RE | FA865226SC005 | N/A | Foundational Technology Research | Advanced Component Development | Operational Systems Development | Innovative Solutions Engineering | Materials Science and Engineering | Quantum Information Science | Advanced Propulsion Systems | Microelectronics and Photonics | Autonomous Systems | Artificial Intelligence and Machine Learning | Directed Energy Systems | Hypersonic Technologies | Computational Modeling and Simulation | This document outlines a Centralized, Open Two-Step Spiral Commercial Solutions Opening (CSO), FA8652-26-S-C005, issued by the Air Force Research Laboratory (AFRL). It is soliciting innovative solutions, from advanced component development to operational systems. The process requires a two-step submission: first, a Commercial Solutions Brief (CSB) is due by April 30, 2027. If the CSB is evaluated as 'Selectable,' the offeror will be invited to submit a full Commercial Solutions Proposal (CSP). Participation is currently limited to the 'Foundational Technologies (AFRL/RE)' mission organization. Prospective offerors must refer to the main AFRL Enterprise CSO announcement (FA8652-26-S-C003) on SAM.gov for the complete Areas of Interest, submission instructions, and evaluation criteria. The government anticipates making an unspecified number of awards (contracts or Other Transactions), subject to funding availability. | afrl.cso.mailbox@us.af.mil | Marco Salathe Claire Tomlin Alp Sipahigil Michael Werner Zuerch Karen Bustillo Costas P. Grigoropoulos Antoine Islegen-Wojdyla Nicola Falco Vassilia Zorba Jeroen van Tilborg Samuel Barber Kaushalya Jhuria Andre Santos Shawn Tornga Steven Hofmeyr Hartmut Haeffner Fanting Kong Kunhwi Kim Siyun Chen Linqing Luo Qiang Du Florian Soom Mengjie Yu Cameron Geddes Simo Makiharju Wei Liu Harold Barnard Zhao Hao Eric Masanet Jayson Vavrek Stijn (Stan) Wielandt Boubacar Kante Davide Terzani |
| Air Force Research Laboratory (AFRL) Request for Information for High Hypersonic Reentry Flight Experiment Program |
AFRL |
Sources Sought |
This document is the 'AFRL/RVBN Payload Intake Form,' an optional data sheet for submissions to the Air Force Research Laboratory's (AFRL) Request for Information for the High Hypersonic Reentry Fligh... |
N/A |
Hypersonic Vehicle DesignGuidance, Navigation, and Control (GNC)GPS-Denied Navigation SystemsRadiation Hardened AvionicsThermal Protection System (TPS) MaterialsHigh-G Structural AnalysisFlight Environment InstrumentationVehicle Diagnostic AlgorithmsAerospace Telemetry & CommunicationsAutonomous Landing SystemsComputational Modeling & SimulationVibration and Shock TestingAdvanced Materials Manufacturing |
Key Research Areas |
EESAESAETALDPSA |
AI Summary | Collaboration Graph |
Air Force Research Laboratory (AFRL) Request for Information for High Hypersonic Reentry Flight Experiment Program | AFRL | Prometheus_RFI-1 | EESA, ESA, ETA, LD, PSA | Hypersonic Vehicle Design | Guidance, Navigation, and Control (GNC) | GPS-Denied Navigation Systems | Radiation Hardened Avionics | Thermal Protection System (TPS) Materials | High-G Structural Analysis | Flight Environment Instrumentation | Vehicle Diagnostic Algorithms | Aerospace Telemetry & Communications | Autonomous Landing Systems | Computational Modeling & Simulation | Vibration and Shock Testing | Advanced Materials Manufacturing | This document is the 'AFRL/RVBN Payload Intake Form,' an optional data sheet for submissions to the Air Force Research Laboratory's (AFRL) Request for Information for the High Hypersonic Reentry Flight Experiment Program. The form is a structured template designed to collect comprehensive technical, logistical, and programmatic details about a proposed experimental payload. It requests information on the experiment's description and objectives, its current and projected Technology Readiness Level (TRL), Size, Weight, and Power (SWaP) requirements, and its physical and logical interface needs. Additionally, the form gathers data on the payload's design qualifications for acceleration and temperature, available acceptance testing capabilities (vibration, thermal, EMI/EMC), system hazards, financial status, and development schedule. The purpose of this form is to provide AFRL with standardized data to evaluate the feasibility, suitability, and integration requirements of potential payloads for its hypersonic test platforms. | afrl.rvkb.afrlneutronstardms@us.af.mil | Emil Rofors Prakash Rao Minok Park Claire Tomlin Alexander Sim Reynold Cooper Mauricio Ayllon Unzueta Shiva Shunmugam Nagarajan Dipak Ghosal Guoying Chen Andre Santos Shawn Tornga Kenny Higa Kunhwi Kim Peter Hosemann David McCallen Zhao Hao Boxun Hu Scott Mccormack Qin Yu | Key Research Areas |
| Participant Basic Agreement (PBA) Opportunity - Threat Agnostic Host-Directed Therapeutics |
U.S. Army/CPE CBRND |
Special Notice |
The Capability Program Executive for Chemical, Biological, Radiological, and Nuclear Defense (CPE CBRND) seeks collaborators for its HEALER portfolio, a program to develop threat-agnostic, host-direct... |
N/A |
Host-Directed TherapeuticsPharmacology and ToxicologyPreclinical Efficacy TestingIn Vivo / In Vitro AssaysValidated Animal Model DevelopmentPharmacokinetics / Pharmacodynamics (PK/PD)Clinical Trial ExecutioncGMP Pharmaceutical ManufacturingBiologic and Small Molecule DevelopmentNeurological Protection PathwaysImmune System ModulationCellular Stress and RepairRespiratory System StabilizationHematologic and Vascular Function |
Key Research Areas |
BSAESAETAPSA |
AI Summary | Collaboration Graph |
Participant Basic Agreement (PBA) Opportunity - Threat Agnostic Host-Directed Therapeutics | U.S. Army/CPE CBRND | W911SR-26-R-HEAL | BSA, ESA, ETA, PSA | Host-Directed Therapeutics | Pharmacology and Toxicology | Preclinical Efficacy Testing | In Vivo / In Vitro Assays | Validated Animal Model Development | Pharmacokinetics / Pharmacodynamics (PK/PD) | Clinical Trial Execution | cGMP Pharmaceutical Manufacturing | Biologic and Small Molecule Development | Neurological Protection Pathways | Immune System Modulation | Cellular Stress and Repair | Respiratory System Stabilization | Hematologic and Vascular Function | The Capability Program Executive for Chemical, Biological, Radiological, and Nuclear Defense (CPE CBRND) seeks collaborators for its HEALER portfolio, a program to develop threat-agnostic, host-directed therapeutics. The initiative aims to create dual-use medical countermeasures that enhance the body's resilience to CBRN threats by targeting critical host systems such as neurological, respiratory, immune, hematologic/vascular, and cellular stress pathways. The program invites participation from both therapeutic developers and drug development support organizations (e.g., CROs, CDMOs). Interested entities must submit a five-page white paper outlining their product or service capabilities, including details on mechanism of action, efficacy data, regulatory status, and manufacturing. The program will be executed under a Participant Basic Agreement (PBA), and applicants must be willing to collaborate with other portfolio members. | Hunter Robinson | Seth Carbon Karthik Shekhar Claire Tomlin Jayson Vavrek Natalia Molchanova Gang Ren Chris Mungall Rohan Adwankar Aindrila Mukhopadhyay Anandharaj Marimuthu Jennifer Rosenbluth Aris Polyzos Grigory Tikhomirov John Conboy Boxun Hu Jacob Hilzinger Priscilla Cooper Deepika Awasthi | Key Research Areas |
| Structural Materials Open BAA |
AFRL/RXC |
Presolicitation |
The Air Force Research Laboratory (AFRL) Materials & Manufacturing Directorate is soliciting proposals for the Structural Materials Open Broad Agency Announcement (BAA). The program seeks to fund rese... |
2027-09-20T16:00:00 ET |
Structural Materials ScienceMaterials EngineeringAdvanced Manufacturing ProcessesMaterials Modeling & SimulationComputational Materials ScienceMaterials Testing & CharacterizationStructural Integrity AnalysisAdvanced Alloy DevelopmentComposite Materials DevelopmentHigh-Temperature MaterialsTechnology Development & TransitionNondestructive EvaluationMaterial Process-Property Relationships |
|
N/A |
AI Summary | Collaboration Graph |
Structural Materials Open BAA | AFRL/RXC | FA8650-18-S-5010 | N/A | Structural Materials Science | Materials Engineering | Advanced Manufacturing Processes | Materials Modeling & Simulation | Computational Materials Science | Materials Testing & Characterization | Structural Integrity Analysis | Advanced Alloy Development | Composite Materials Development | High-Temperature Materials | Technology Development & Transition | Nondestructive Evaluation | Material Process-Property Relationships | The Air Force Research Laboratory (AFRL) Materials & Manufacturing Directorate is soliciting proposals for the Structural Materials Open Broad Agency Announcement (BAA). The program seeks to fund research and development in structural materials technologies, from scientific discovery to technology transition, aligned with Air Force needs. The BAA utilizes a two-step process: interested parties must first submit a white paper (up to 4 pages plus a quad chart) at any time until September 20, 2023. If the Air Force is interested, it will request a full technical and cost proposal, which is due within 30 working days of the request. The total estimated program value is $99.5 million, with multiple awards anticipated, ranging from $100,000 to $5,000,000 each. The government may use various contract instruments (e.g., CPFF, FFP, OT) and desires Unlimited Rights to technical data and non-commercial software developed under the awards. | patrick.carlin.1@us.af.mil | Seth Carbon Didier Perrodin Francesco Ricci Minok Park Chris Mungall Gang Ren Rohan Adwankar Aindrila Mukhopadhyay Grigory Tikhomirov Kristin Persson David McCallen Mingwei Zhang Harold Barnard Boxun Hu Eric Masanet Karthik Shekhar Jayson Vavrek Anandharaj Marimuthu Scott Mccormack Qin Yu |
| Cyberspace Operations for Resilient Tactical Engagement and Execution (CORTEX) |
AFRL/Information Directorate |
Presolicitation |
The Air Force Research Laboratory (AFRL) is soliciting research for the Cyberspace Operations for Resilient Tactical Engagement and Execution (CORTEX) program, an Advanced Research Announcement (ARA F... |
2030-12-31T17:00:00 ET |
Cyberspace & EMSO SynergySoftware-Defined Radio DevelopmentPhotonic & Quantum MicroelectronicsAirborne & Edge ComputingAutonomous Waveform ReconfigurationFormal Methods for SDR SecurityPost-Quantum CryptographyBiologically-Inspired CybersecurityNeuromorphic Signal ProcessingAI-Driven Red TeamingDigital Twin for EW ResilienceCognitive RF DeceptionAnalog Computing for SDRFederated Machine LearningHardware Anti-Tamper Technologies |
Novel Hardware and Architectures for Edge EW/CyberAI-Driven Autonomous SDR OperationsResilient and Composable Cyber-EW SystemsSecure Federated and Predictive Architectures |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
Cyberspace Operations for Resilient Tactical Engagement and Execution (CORTEX) | AFRL/Information Directorate | FA875026S7002 | BSA, CSA, EESA, ESA, ETA, PSA | Cyberspace & EMSO Synergy | Software-Defined Radio Development | Photonic & Quantum Microelectronics | Airborne & Edge Computing | Autonomous Waveform Reconfiguration | Formal Methods for SDR Security | Post-Quantum Cryptography | Biologically-Inspired Cybersecurity | Neuromorphic Signal Processing | AI-Driven Red Teaming | Digital Twin for EW Resilience | Cognitive RF Deception | Analog Computing for SDR | Federated Machine Learning | Hardware Anti-Tamper Technologies | The Air Force Research Laboratory (AFRL) is soliciting research for the Cyberspace Operations for Resilient Tactical Engagement and Execution (CORTEX) program, an Advanced Research Announcement (ARA FA8750-26-S-7002) with a total estimated funding of $460M. The program seeks to develop disruptive technologies that integrate Cyberspace Operations and Electromagnetic Spectrum Operations (EMSO) for use in contested environments. Key technical areas include: advanced microelectronics (photonic, quantum) for edge computing and Software-Defined Radios (SDRs); AI-driven autonomous agents for real-time reconfiguration; gateware, firmware, and software for Electronic Warfare (EW); novel analog and biological technologies; anti-tamper and hardening solutions; and formal methods for secure SDR development. This is a two-step ARA, open until December 31, 2030, requiring white papers as initial submissions. Individual awards will typically range from $10M to $50M, with a potential ceiling of $99M, over a period of up to 60 months. The goal is to advance technologies from a Technology Readiness Level (TRL) of 3 to at least TRL 6. | Jason Hallahan | Oluwamayowa Amusat Alexander Sim Alp Sipahigil Xiaoya Chong Daniel Arnold Rohan Adwankar Anand Krishnan Prakash Neel Rajeshbhai Vora Christoph Kirst Kaushalya Jhuria John Wu Marina Radulaski Tiffany Connors Siyuan Niu Dhruva Kulkarni Steven Hofmeyr Angelos Ioannou Zhe Bai Suren Byna Brandon Cook Sean Peisert Dan Bonachea Meriam Gay Bautista-Jurney Marcos Lopez de Prado Stefan Lasiewski Wei Liu Zhao Hao Yilun Xu Edward Bethel Hasita Veluri Gazi Mahmud Stijn (Stan) Wielandt Georgios Michelogiannakis Boubacar Kante Luisa Gonzalez | Novel Hardware and Architectures for Edge EW/Cyber | AI-Driven Autonomous SDR Operations | Resilient and Composable Cyber-EW Systems | Secure Federated and Predictive Architectures |
| BROAD AGENCY ANNOUNCEMENT (BAA) RESEARCH AND DEVELOPMENT IN SUPPORT OF THE JOINT PROGRAM EXECUTIVE OFFICE FOR CHEMICAL, BIOLOGICAL, RADIOLOGICAL AND NUCLEAR DEFENSE (JPEO-CBRND), JPM MEDICAL AND JPL EB |
JPEO-CBRND/JPM MEDICAL and JPL EB |
Solicitation |
[Analyzed from API Fallback] The Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND) is soliciting research and development proposals through a Broad... |
2030-12-31T23:59:00 ET |
Chemical Defense ResearchBiological Defense ResearchRadiological Defense ResearchNuclear Countermeasure DevelopmentMedical Countermeasure DevelopmentLife Cycle BioinformaticsRapid Development MethodsNovel Enabling TechnologiesComputational BiologyGenomic and Proteomic AnalysisAdvanced DiagnosticsTherapeutic Development |
Accelerated Medical Countermeasure (MCM) Development |
BSACSAESAETA |
AI Summary | Collaboration Graph |
BROAD AGENCY ANNOUNCEMENT (BAA) RESEARCH AND DEVELOPMENT IN SUPPORT OF THE JOINT PROGRAM EXECUTIVE OFFICE FOR CHEMICAL, BIOLOGICAL, RADIOLOGICAL AND NUCLEAR DEFENSE (JPEO-CBRND), JPM MEDICAL AND JPL EB | JPEO-CBRND/JPM MEDICAL and JPL EB | CBRND-BAA-22-01 | BSA, CSA, ESA, ETA | Chemical Defense Research | Biological Defense Research | Radiological Defense Research | Nuclear Countermeasure Development | Medical Countermeasure Development | Life Cycle Bioinformatics | Rapid Development Methods | Novel Enabling Technologies | Computational Biology | Genomic and Proteomic Analysis | Advanced Diagnostics | Therapeutic Development | [Analyzed from API Fallback] The Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND) is soliciting research and development proposals through a Broad Agency Announcement (BAA). The BAA seeks to identify the best available science from educational institutions, non-profits, and private industry. While open to unsolicited proposals within its mission areas, the BAA has a specific interest in novel solutions for the rapid development of medical countermeasures, focusing on enabling technologies, life cycle bioinformatics, and improved logistics tracking. Potential offerors are encouraged to discuss their ideas with technical contacts before submission. | usarmy.detrick.dod-jpeo-cbrnd.mbx.baa@army.mil | Emil Rofors Ana Comesana Chang Dou Thomas Eng Adam Deutschbauer Aindrila Mukhopadhyay Morgan Price Steven Hofmeyr Aeron Tynes Hammack Natalia Molchanova Ravi Prasher Ryan Heller Gerard Marriott Hector Garcia Martin Gazi Mahmud Thomas Hendrickson Victor Negut Eileen Dawson Harshini Mukundan Oluwamayowa Amusat | Accelerated Medical Countermeasure (MCM) Development |
| RTP Division Fair Opportunity Updates |
ACC-APG/Research Triangle Park Division |
Special Notice |
[Analyzed from API Fallback] The Army Contracting Command – Aberdeen Proving Ground (ACC-APG) Research Triangle Park Division will post informational updates on known competitive acquisitions. This in... |
2029-09-30T23:59:00 ET |
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N/A |
AI Summary | Collaboration Graph |
RTP Division Fair Opportunity Updates | ACC-APG/Research Triangle Park Division | ACC-APG_RTP_FY22_FAIR_OPPORTUNITY | N/A | | [Analyzed from API Fallback] The Army Contracting Command – Aberdeen Proving Ground (ACC-APG) Research Triangle Park Division will post informational updates on known competitive acquisitions. This initiative is for informational purposes only and is not a formal solicitation (RFP/RFQ); proposals should not be submitted in response. All information is subject to change or cancellation at any time, and the government will not reimburse for any industry-provided feedback. To maintain procurement integrity and avoid conflicts of interest, all communications must be directed to the specified point of contact or Contracting Officer, and direct contact with the requiring activity is prohibited. | N/A | Aeron Tynes Hammack Gazi Mahmud Thomas Hendrickson Ana Comesana Chang Dou Thomas Eng Aindrila Mukhopadhyay Eileen Dawson Hector Garcia Martin Oluwamayowa Amusat |
| BAA DEVCOM AC Emerging Technologies |
DEVCOM/AC |
Combined Synopsis/Solicitation |
The U.S. Army DEVCOM Armaments Center (AC) seeks innovative research proposals and white papers under this Broad Agency Announcement (W15QKN-26-S-1AZR), open from 2026 to 2031, for emerging technologi... |
2031-03-04T10:00:00 ET |
Advanced Materials & ManufacturingAutonomous Systems & GNCArtificial Intelligence & Data AnalyticsEnergetic Materials & PropulsionAdvanced Warhead & LethalitySensors & Signal ProcessingDigital Engineering & SimulationFire Control & Targeting SystemsDirected Energy & Electronic WarfareCybersecurity & AI AssuranceAdvanced Power & EnergyImmersive Test & Validation |
Advanced Armament and Lethality SystemsAdvanced Materials and ManufacturingElectronics, Sensors, and Control SystemsSoftware, AI, and Digital TransformationLogistics, Testing, and Lifecycle Sustainment |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
BAA DEVCOM AC Emerging Technologies | DEVCOM/AC | W15QKN-26-S-1AZR | BSA, CSA, EESA, ESA, ETA, LD, PSA | Advanced Materials & Manufacturing | Autonomous Systems & GNC | Artificial Intelligence & Data Analytics | Energetic Materials & Propulsion | Advanced Warhead & Lethality | Sensors & Signal Processing | Digital Engineering & Simulation | Fire Control & Targeting Systems | Directed Energy & Electronic Warfare | Cybersecurity & AI Assurance | Advanced Power & Energy | Immersive Test & Validation | The U.S. Army DEVCOM Armaments Center (AC) seeks innovative research proposals and white papers under this Broad Agency Announcement (W15QKN-26-S-1AZR), open from 2026 to 2031, for emerging technologies in weapons, munitions, and soldier lethality. The goal is to advance scientific knowledge and mature technologies supporting Army modernization priorities. Key technical areas of interest include: advanced materials and manufacturing (including additive manufacturing); next-generation lethality (energetics, warheads, fuzes, armaments); autonomy and AI (guidance/navigation for GPS-denied environments, collaborative munitions, AI assurance, counter-UAS); sensors and fire control (advanced sensors, MEMS, non-kinetic effectors, photonics); software and networking (DevSecOps, containerization, networked lethality, cloud software factories); power and energy systems; and advanced logistics, maintenance, and testing methodologies (including digital engineering and VR/AR validation). Prospective offerors are strongly encouraged to submit a white paper for initial evaluation before preparing a full proposal. | Carlos Quispe | Emil Rofors Oluwamayowa Amusat Alessio Amodio Claire Tomlin William Fawley Alp Sipahigil Alexander Sim Natalie Popovich Shannon Boettcher Xiaoya Chong Bin Wang Mauricio Ayllon Unzueta Sayeef Salahuddin Karlo Berket Sufi Kaur Tae Hwan Lim Guoying Chen Alex Newkirk Tiffany Connors Andre Santos Daniela Ushizima Shawn Tornga Margaret Taylor Kenny Higa Vi Rapp Nica Campbell Sumanjeet Kaur Muhammad Ihsan Ul Haq Zachary Needell Stephen Harris Unique Karki Peter Tennessen Bryan Mccloskey Jean Luca Bez Qiang Du Ravi Prasher Meriam Gay Bautista-Jurney Cameron Geddes Zhao Hao Boxun Hu Vinay Sawal Andrew Dopilka Russell Wilcox Eric Masanet Daryl Chrzan Edward Bethel Jayson Vavrek Hasita Veluri Gazi Mahmud Thomas Hendrickson Jennifer Stokes-Draut Xianglei Mao Sooyeon Park Xiong Peng Sunhee Baik Donghun Kim Boubacar Kante | Advanced Armament and Lethality Systems | Advanced Materials and Manufacturing | Electronics, Sensors, and Control Systems | Software, AI, and Digital Transformation | Logistics, Testing, and Lifecycle Sustainment |
| SDA Proliferated Warfighter Space Architecture (PWSA) - Systems, Technologies, and Emerging Capabilities (STEC) Broad Agency Announcement (BAA) |
SDA |
Solicitation |
The Space Development Agency (SDA) has issued Broad Agency Announcement (BAA) FA240126S0001 seeking novel concepts, systems, and technologies for its Proliferated Warfighter Space Architecture (PWSA).... |
2027-03-03T00:00:00 ET |
Optical Space CommunicationsRF Tactical CommunicationsLow SWaP-C Payload DesignInfrared Missile Warning & TrackingAI / ML for Target RecognitionMulti-Sensor Data FusionNovel Remote Sensing TechnologiesGPS-Agnostic Navigation (PNT)Autonomous Operations & OrchestrationCybersecurity & Zero Trust ArchitectureRadiation-Hardened ProcessorsAdvanced Cryptographic SolutionsDigital Engineering & Mission SimulationModular Ground Segment FrameworksSatellite Resilience Technologies |
Resilient Beyond Line-of-Sight Tactical Communications (RF, Optical)Advanced Target Custody, Warning, Tracking, and DefeatAdvanced/Alternate Position, Navigation and Timing (PNT)Global Battle Management and Ground Segment |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
SDA Proliferated Warfighter Space Architecture (PWSA) - Systems, Technologies, and Emerging Capabilities (STEC) Broad Agency Announcement (BAA) | SDA | FA240126S0001 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Optical Space Communications | RF Tactical Communications | Low SWaP-C Payload Design | Infrared Missile Warning & Tracking | AI / ML for Target Recognition | Multi-Sensor Data Fusion | Novel Remote Sensing Technologies | GPS-Agnostic Navigation (PNT) | Autonomous Operations & Orchestration | Cybersecurity & Zero Trust Architecture | Radiation-Hardened Processors | Advanced Cryptographic Solutions | Digital Engineering & Mission Simulation | Modular Ground Segment Frameworks | Satellite Resilience Technologies | The Space Development Agency (SDA) has issued Broad Agency Announcement (BAA) FA240126S0001 seeking novel concepts, systems, and technologies for its Proliferated Warfighter Space Architecture (PWSA). The goal is to identify leap-ahead improvements for future PWSA tranches or enable new capabilities. The BAA outlines four main focus areas: 1) Resilient Beyond Line-of-Sight Tactical Communications (RF/Optical), including advanced optical terminals and low SWaP-C components; 2) Advanced Target Custody, Warning, Tracking, and Defeat, with an emphasis on advanced sensors, AI/ML for automatic target recognition, and system resilience; 3) Advanced/Alternate Position, Navigation, and Timing (PNT) for GPS-denied environments; and 4) Global Battle Management, including network defense, dynamic tasking, distributed command and control, and advanced on-orbit processing. SDA strongly encourages a phased submission process beginning with a two-page executive summary, followed by an invited proposal abstract and then a full proposal. Multiple awards are anticipated, potentially as FAR-based contracts or Other Transaction Agreements (OTAs). The proposal due date is March 3, 2027. | ussf.pentagon.sda.mbx.fa-240126s-001@mail.mil | Emil Rofors Marco Salathe Alexander Sim Alp Sipahigil Nicola Falco Antoine Islegen-Wojdyla Mauricio Ayllon Unzueta Dipak Ghosal Neel Rajeshbhai Vora Alex Newkirk John Wu Tiffany Connors Daniela Ushizima Shawn Tornga Yuankun Xu Angelos Ioannou Zachary Needell Zhe Bai Siyun Chen Sean Peisert Nicolas Abgrall Qiang Du Gregory Lemieux Wei Liu Yilun Xu Vinay Sawal Edward Bethel Tanny Andrea Chavez Esparza Gazi Mahmud Stijn (Stan) Wielandt Victor Negut Anna Giannakou Georgios Michelogiannakis Sooyeon Park Abdelilah Essiari Boubacar Kante Samuel Williams | Resilient Beyond Line-of-Sight Tactical Communications (RF, Optical) | Advanced Target Custody, Warning, Tracking, and Defeat | Advanced/Alternate Position, Navigation and Timing (PNT) | Global Battle Management and Ground Segment |
| Broad Agency Announcement: Joint All Domain Persistent Adaptive Collaborative Technologies II (JADPACT II) |
AFRL/PZL |
Solicitation |
This document is a mandatory "Representations, Certifications and Other Statements of Offerors" form required for proposals responding to Air Force Research Laboratory (AFRL) solicitations. It serves ... |
2029-02-18T17:00:00 ET |
AI / Machine LearningAutonomous SystemsCommand and Control (C2)Human-Machine TeamingDecision Support SystemsCollaborative TechnologiesUnmanned Aircraft SystemsCloud Computing ServicesCybersecurity ControlsTelecommunications SystemsComputer Software DevelopmentElectronic WarfareComputer Network DesignVideo Surveillance Technology |
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N/A |
AI Summary | Collaboration Graph |
Broad Agency Announcement: Joint All Domain Persistent Adaptive Collaborative Technologies II (JADPACT II) | AFRL/PZL | FA238426SB004 | N/A | AI / Machine Learning | Autonomous Systems | Command and Control (C2) | Human-Machine Teaming | Decision Support Systems | Collaborative Technologies | Unmanned Aircraft Systems | Cloud Computing Services | Cybersecurity Controls | Telecommunications Systems | Computer Software Development | Electronic Warfare | Computer Network Design | Video Surveillance Technology | This document is a mandatory "Representations, Certifications and Other Statements of Offerors" form required for proposals responding to Air Force Research Laboratory (AFRL) solicitations. It serves as a supplement to an offeror's annual certifications in the System for Award Management (SAM.gov). The form requires bidders to formally certify compliance with numerous Federal Acquisition Regulation (FAR) and Defense Federal Acquisition Regulation Supplement (DFARS) provisions. Key areas of certification and disclosure include independent price determination, prohibitions on certain telecommunications equipment (e.g., FAR 52.204-24), cost accounting standards (CAS), tax compliance, intellectual property rights assertions (DFARS 252.227-7017), cybersecurity controls (DFARS 252.204-7008), and various prohibitions related to foreign operations and supply chains, including those involving China and Russia. | N/A | Emil Rofors Marco Salathe Alexander Sim Claire Tomlin Alp Sipahigil Nicola Falco Antoine Islegen-Wojdyla Mauricio Ayllon Unzueta Neel Rajeshbhai Vora Alex Newkirk John Wu Tiffany Connors Daniela Ushizima Shawn Tornga Talita Perciano Costa Leite Steven Hofmeyr Alexandre Bayen Zachary Needell Zhe Bai Siyun Chen Drew Paine Sean Peisert Cees De Laat Nicolas Abgrall Qiang Du Evangelos Chaniotakis Wei Liu Yilun Xu Vinay Sawal Edward Bethel Gazi Mahmud Stijn (Stan) Wielandt Sooyeon Park Bruce Mah Georgios Michelogiannakis Boubacar Kante Samuel Williams |
| Resilient Analytic Platforms for Intelligence Delivery (RAPID) |
AFRL/RI |
Presolicitation |
The U.S. Air Force Research Laboratory (AFRL) is soliciting white papers for the Resilient Analytic Platforms for Intelligence Delivery (RAPID) program (FA8750-26-S-7001), an Advanced Research Announc... |
2031-02-06T15:00:00 ET |
Multi-INT Data FusionAI / Machine LearningAssured & Resilient Cloud ComputingSecure Edge ComputingData Models & OntologiesSynthetic Data GenerationGeospatial Intelligence CorrelationAutomated Processing WorkflowsCross-Domain Information SharingProactive Vulnerability ManagementFederated System ArchitectureAlgorithm Benchmarking & ValidationCyber Threat Detection |
Advanced Multi-INT Data Fusion and AnalyticsSecure and Resilient System ArchitectureProactive Security, Validation, and Governance |
BSACSAEESAETALD |
AI Summary | Collaboration Graph |
Resilient Analytic Platforms for Intelligence Delivery (RAPID) | AFRL/RI | FA8750-26-S-7001 | BSA, CSA, EESA, ETA, LD | Multi-INT Data Fusion | AI / Machine Learning | Assured & Resilient Cloud Computing | Secure Edge Computing | Data Models & Ontologies | Synthetic Data Generation | Geospatial Intelligence Correlation | Automated Processing Workflows | Cross-Domain Information Sharing | Proactive Vulnerability Management | Federated System Architecture | Algorithm Benchmarking & Validation | Cyber Threat Detection | The U.S. Air Force Research Laboratory (AFRL) is soliciting white papers for the Resilient Analytic Platforms for Intelligence Delivery (RAPID) program (FA8750-26-S-7001), an Advanced Research Announcement (ARA) with approximately $237M in total funding available until February 2031. The program seeks to research, develop, and integrate advanced technologies into consolidated, cyber-resilient intelligence analysis platforms. Key technical focus areas include multi-INT fusion, latency reduction, AI/ML for geospatial intelligence (GEOINT), secure cloud and edge computing, and integrated system design. The application is a two-step process, starting with a white paper submission, which may lead to an invitation for a full proposal. Individual awards are anticipated to range from $10M to $50M over 36 months, with the potential for larger awards. The program is generally closed to foreign participation. | Frank Gambino | Alexander Sim Wei Zhang Chris Mungall Adam Slagell Madison Burrus Kunxiaojia (Tammy) Yuan Karlo Berket Danielle Svehla Christianson Alex Newkirk John Wu Tiffany Connors Zixi Hu Oscar Antepara Shawn Tornga Talita Perciano Costa Leite Angelos Ioannou Zhe Bai Rich Wolski Oliver Ruebel Sean Peisert Cees De Laat Jean Luca Bez Stefan Lasiewski Gregory Lemieux Vinay Sawal Gazi Mahmud Hannah Cohoon Victor Negut Anna Giannakou Georgios Michelogiannakis Charuleka Varadharajan Sunhee Baik | Advanced Multi-INT Data Fusion and Analytics | Secure and Resilient System Architecture | Proactive Security, Validation, and Governance |
| Commercial Space Domain Awareness (SDA), Sensors as a Service |
USAF |
Special Notice |
[Analyzed from API Fallback] The U.S. Government is developing an acquisition strategy to procure Commercial Space Domain Awareness (SDA) capabilities through a 'Sensors as a Service' contract. Follow... |
N/A |
Space Domain Awareness (SDA)Sensors as a ServiceOrbital MechanicsSatellite Tracking and CatalogingSensor Data FusionGround-Based Optical SensorsGround-Based Radar SystemsSpace Object CharacterizationData Analytics and ProcessingCollision Avoidance AnalysisSensor Network ManagementAPI Development and IntegrationAstrodynamics Algorithms |
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N/A |
AI Summary | Collaboration Graph |
Commercial Space Domain Awareness (SDA), Sensors as a Service | USAF | FA882025R0001_SDA_SensorsAsAService_02062026Update | N/A | Space Domain Awareness (SDA) | Sensors as a Service | Orbital Mechanics | Satellite Tracking and Cataloging | Sensor Data Fusion | Ground-Based Optical Sensors | Ground-Based Radar Systems | Space Object Characterization | Data Analytics and Processing | Collision Avoidance Analysis | Sensor Network Management | API Development and Integration | Astrodynamics Algorithms | [Analyzed from API Fallback] The U.S. Government is developing an acquisition strategy to procure Commercial Space Domain Awareness (SDA) capabilities through a 'Sensors as a Service' contract. Following a May 2025 Request for Information (RFI), a formal solicitation is planned for Fiscal Year 2027, with the potential for multiple vendor awards. The government is considering hosting an industry day and issuing further RFIs to refine requirements. | N/A | Seth Carbon Alexander Sim Adam Slagell Madison Burrus Ronald Cohen Kunxiaojia (Tammy) Yuan Karlo Berket Danielle Svehla Christianson Alex Newkirk John Wu Tiffany Connors Prabal Dutta Shawn Tornga Alexandre Bayen Angelos Ioannou Zhe Bai Oliver Ruebel Sean Peisert Jean Luca Bez Gregory Lemieux Stefan Lasiewski Vinay Sawal Houjun Tang Gazi Mahmud Hannah Cohoon Victor Negut Georgios Michelogiannakis Edward Schlafly Charuleka Varadharajan Sunhee Baik Yuankun Xu |
| Broad Agency Announcement DEVCOM C5ISR RTI Amendment 007 |
C5ISR Center/RTI |
Special Notice |
This Broad Agency Announcement (BAA W56KGU-23-R-RTID) from the U.S. Army DEVCOM C5ISR Center's Research & Technology Integration (RTI) Directorate solicits science and technology proposals in three po... |
2027-11-01T17:00:00 ET |
Secure Communications & NetworkingCybersecurity Research & DevelopmentElectronic Warfare & Spectrum DominanceSignals Intelligence (SIGINT) ProcessingElectro-Optic/Infrared (EOIR) Sensor TechnologySensor Data & Image ProcessingAI / ML for Intelligence AnalysisSoldier & Platform Systems IntegrationAdvanced Component & Prototype DevelopmentSensor Modeling & SimulationAdvanced Power & Energy SystemsSystem Survivability TechnologiesC5ISR Systems EngineeringHardware & Software Integration |
Soldier & Platform Mission EquipmentSpectrum Dominance, Intelligence, & SurvivabilityElectro-Optic Infrared (EOIR) Sensors, Modeling, Processing, and Power |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Broad Agency Announcement DEVCOM C5ISR RTI Amendment 007 | C5ISR Center/RTI | W56KGU23RRTID | BSA, CSA, EESA, ESA, ETA, LD, PSA | Secure Communications & Networking | Cybersecurity Research & Development | Electronic Warfare & Spectrum Dominance | Signals Intelligence (SIGINT) Processing | Electro-Optic/Infrared (EOIR) Sensor Technology | Sensor Data & Image Processing | AI / ML for Intelligence Analysis | Soldier & Platform Systems Integration | Advanced Component & Prototype Development | Sensor Modeling & Simulation | Advanced Power & Energy Systems | System Survivability Technologies | C5ISR Systems Engineering | Hardware & Software Integration | This Broad Agency Announcement (BAA W56KGU-23-R-RTID) from the U.S. Army DEVCOM C5ISR Center's Research & Technology Integration (RTI) Directorate solicits science and technology proposals in three portfolio areas: (1) Soldier & Platform Mission Equipment, (2) Spectrum Dominance, Intelligence & Survivability, and (3) Electro-Optic Infrared (EOIR) Sensors, Modeling, Processing, and Power. The BAA is open for five years until November 1, 2027, and employs a two-step process beginning with a white paper submission, which, if selected, leads to an invitation to submit a full proposal. The scope covers research from basic (6.1) to advanced component development and prototypes (6.4). Awards may be issued as FAR-based procurement contracts or Other Transaction Agreements (OTAs) for prototypes. Offerors must note stringent requirements, including export controls, cybersecurity compliance (NIST SP 800-171), and restrictions on foreign national participation. Access to detailed research topics in Attachment 01 is controlled and requires a Joint Certification Program (JCP) certification. | usarmy.apg.devcom-c5isr.mbx.rti-baa@army.mil | Prakash Rao Alexander Sim Alp Sipahigil Matthias Sulzer Nicola Falco Dipak Ghosal Alexandre Moreira da Silva Alex Newkirk John Wu Tiffany Connors Andre Santos Sukhpreet Kaur Daniela Ushizima Shawn Tornga Steven Hofmeyr Alexandre Bayen Zhe Bai Peter Tennessen Kristina S. H. LaCommare Sean Peisert Linqing Luo Ravi Prasher Zhao Hao Edward Bethel Houjun Tang Michael Sohn Jessica Granderson Mary Ann Piette Jing Ke Gazi Mahmud Stijn (Stan) Wielandt Jennifer Stokes-Draut Anna Giannakou Sunhee Baik Boubacar Kante | Soldier & Platform Mission Equipment | Spectrum Dominance, Intelligence, & Survivability | Electro-Optic Infrared (EOIR) Sensors, Modeling, Processing, and Power |
| FY2025-2034 DTRA Chemical and Biological Technologies Fundamental Research Broad Agency Announcement |
DTRA |
Combined Synopsis/Solicitation |
The Defense Threat Reduction Agency (DTRA) has released a long-term Broad Agency Announcement (BAA), HDTRA1-25-S-0001, effective from FY2025 through FY2034, to fund fundamental (basic and applied) res... |
2034-09-30T17:00:00 ET |
Targeted Delivery & Monitoring SystemsQuantum Biological SimulationComputational Drug DiscoveryMulti-Omic Host & Microbiome AnalysisThreat-Agnostic CountermeasuresAdvanced Protective MaterialsCatalytic & Reactive MaterialsInterface and Colloid ScienceQuantum Sensing TechnologiesTriggered Upconverting NanoparticlesOptical Signal Amplification |
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N/A |
AI Summary | Collaboration Graph |
FY2025-2034 DTRA Chemical and Biological Technologies Fundamental Research Broad Agency Announcement | DTRA | HDTRA125S0001 | N/A | Targeted Delivery & Monitoring Systems | Quantum Biological Simulation | Computational Drug Discovery | Multi-Omic Host & Microbiome Analysis | Threat-Agnostic Countermeasures | Advanced Protective Materials | Catalytic & Reactive Materials | Interface and Colloid Science | Quantum Sensing Technologies | Triggered Upconverting Nanoparticles | Optical Signal Amplification | The Defense Threat Reduction Agency (DTRA) has released a long-term Broad Agency Announcement (BAA), HDTRA1-25-S-0001, effective from FY2025 through FY2034, to fund fundamental (basic and applied) research aimed at countering chemical and biological (CB) Weapons of Mass Destruction (WMD). The primary focus is 'Fundamental Science for Chemical and Biological Defense' (Thrust Area 1), seeking to advance capabilities in detection, diagnostics, medical and material countermeasures, protection, and decontamination. This amendment introduces seven specific basic research topics (A1-A7) which include: drug-targeted delivery systems with monitoring; quantum computing for medical countermeasure development; oral microbiome analysis for presymptomatic diagnostics; threat-agnostic host response mechanisms; advanced materials for CB defense; quantum sensors; and triggered upconverting nanoparticles for detection. The submission process is two-phased, requiring a pre-application white paper (with pre-coordination generally required but waived for topics A1-A7) followed by an invited full proposal. DTRA anticipates awarding primarily grants of up to five years, with annual funding ranging from $25K to $1M, to a wide range of U.S. and foreign academic, industrial, and non-profit entities. | dtra.belvoir.rd.mbx.rd-cb-frbaa25-34-a@mail.mil | Prakash Rao Alexander Sim Alp Sipahigil Matthias Sulzer Nicola Falco Andrew Doran Armand Alivisatos Alexandre Moreira da Silva Alex Newkirk John Wu Andre Santos Daniela Ushizima Shawn Tornga Zhe Bai Siyun Chen Peter Tennessen Kristina S. H. LaCommare Sean Peisert Linqing Luo Gerard Marriott Zhao Hao Edward Bethel Jessica Granderson Mary Ann Piette Jing Ke Gazi Mahmud Sharon Greenblum Stijn (Stan) Wielandt Ahmad Omar Jennifer Stokes-Draut Maciej Haranczyk Sunhee Baik Qin Yu Zachary Jones Ashok Ajoy Boubacar Kante |
| Fracture Risk / Human Kinematics Studies |
NSWCCD/Code 665 |
Combined Synopsis/Solicitation |
The Naval Surface Warfare Center Carderock Division (NSWCCD) intends to award a sole-source, firm-fixed-price contract to the University of Virginia's Center for Applied Biomechanics for two distinct ... |
2026-12-01T17:00:00 ET |
Human Kinematics ModelingBiomechanics ResearchPersonnel Injury AssessmentComputational Human ModelingFinite Element Model AnalysisDynamic Modeling SoftwareBlunt Impact Injury AnalysisFracture Risk AssessmentCadaveric Biomechanical TestingInjury Criteria DevelopmentParametric Survival AnalysisHigh-Speed Data AcquisitionImpact BiomechanicsTime History Data AnalysisThree-Point Bending Tests |
Computational Modeling of Occupant Injury in SubmarinesExperimental Biomechanics of Limb Fracture |
EESAESAETAPSA |
AI Summary | Collaboration Graph |
Fracture Risk / Human Kinematics Studies | NSWCCD/Code 665 | N0016726Q1018 | EESA, ESA, ETA, PSA | Human Kinematics Modeling | Biomechanics Research | Personnel Injury Assessment | Computational Human Modeling | Finite Element Model Analysis | Dynamic Modeling Software | Blunt Impact Injury Analysis | Fracture Risk Assessment | Cadaveric Biomechanical Testing | Injury Criteria Development | Parametric Survival Analysis | High-Speed Data Acquisition | Impact Biomechanics | Time History Data Analysis | Three-Point Bending Tests | The Naval Surface Warfare Center Carderock Division (NSWCCD) intends to award a sole-source, firm-fixed-price contract to the University of Virginia's Center for Applied Biomechanics for two distinct research services. The first service involves conducting predicted occupant kinematics modeling and analysis using MADYMO software to support personnel injury assessments for the COLUMBIA and VIRGINIA Block V Class submarines. This task requires analyzing government-provided time histories to define occupant kinematics and blunt impact injury risk, culminating in a technical white paper. The second service is to develop survivability risk curves for upper extremity fractures during flail events. This will be achieved by conducting three-point bending tests on twelve fresh-frozen cadaveric forearms to simulate impact into a rigid structure, with deliverables including a white paper, sensor data, and high-speed video. This research aims to fill a gap in arm injury criteria, supporting future SSNX assessments. | Arnel Ngo | Costas P. Grigoropoulos Bin Wang Mohammad Kaazem Pur Mofrad Yukumo Tanaka Tom Wenzel Yousef Bozorgnia Reginald Lee Travis Walter Steven Hofmeyr Thomas McKone Vi Rapp Zachary Needell Peter Tennessen Haitam Laarabi Gregory Lemieux Jing Ke Boris Faybishenko Thomas Hendrickson Brennan Less Stefan Habelitz Kaiyu Sun Carl Grace Phillip Messersmith Qin Yu Donghun Kim | Computational Modeling of Occupant Injury in Submarines | Experimental Biomechanics of Limb Fracture |
| Directed Energy Technology Experimentation Research (DETER) Advanced Research Announcement (ARA) Open Announcement |
AFRL |
Solicitation |
This document outlines the evaluation criteria for the Directed Energy Technology Experimentation Research (DETER) Advanced Research Announcement (ARA), a funding opportunity by the Air Force Research... |
2027-08-10T19:00:00 ET |
Directed Energy SourcesHigh Power Electromagnetics (HPEM)Acquisition, Tracking & PointingBeam Control SystemsAtmospheric Compensation TechniquesDE Weapon Systems IntegrationPower & Thermal ManagementDE Effects & Lethality TestingModeling & Simulation (M&S)Physics-Based ModelingSpace Domain Awareness (SDA)Machine Learning AlgorithmsSensor Data FusionImage Processing & ExploitationField Experimentation & Testing |
Directed Energy (DE) Systems Development and IntegrationModeling, Simulation, and Analysis (MS&A) for DE SystemsDE Effects, Testing, and WargamingAdvanced Space Domain Awareness (SDA)Experimentation Support and Infrastructure |
CSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Directed Energy Technology Experimentation Research (DETER) Advanced Research Announcement (ARA) Open Announcement | AFRL | FA9451-21-S-0001 | CSA, EESA, ESA, ETA, LD, PSA | Directed Energy Sources | High Power Electromagnetics (HPEM) | Acquisition, Tracking & Pointing | Beam Control Systems | Atmospheric Compensation Techniques | DE Weapon Systems Integration | Power & Thermal Management | DE Effects & Lethality Testing | Modeling & Simulation (M&S) | Physics-Based Modeling | Space Domain Awareness (SDA) | Machine Learning Algorithms | Sensor Data Fusion | Image Processing & Exploitation | Field Experimentation & Testing | This document outlines the evaluation criteria for the Directed Energy Technology Experimentation Research (DETER) Advanced Research Announcement (ARA), a funding opportunity by the Air Force Research Laboratory (AFRL). The program seeks proposals for research, development, prototyping, and testing of directed energy (DE) technologies to enhance national defense. Key technical areas include DE sources (lasers, HPEM), acquisition/tracking/pointing systems, integrated DE weapon systems, effects testing, modeling and simulation (MS&A), wargaming, and space domain awareness (SDA). Submissions are evaluated based on four weighted criteria: Overall Scientific/Technical Merit (30%), Soundness of Technical Approach (30%), Importance/Relevance to AFRL Programs (20%), and Value/Cost (20%). The rubric assesses the clarity of the problem being solved, the innovation and feasibility of the proposed solution, risk mitigation strategies, team experience, alignment with AFRL mission objectives, and the credibility of the cost estimate versus the expected impact. | AFRL.DETER.ARA@us.af.mil | Emil Rofors Marco Salathe Alessio Amodio Alexander Sim Lisa Claus Costas P. Grigoropoulos Reynold Cooper Antoine Islegen-Wojdyla Nicola Falco Mauricio Ayllon Unzueta Deborah Bard Vassilia Zorba Jeroen van Tilborg Samuel Barber Najm Us Saqib Edoardo Zoni Alex Newkirk Louis-Benoit Desroches Dhruva Kulkarni Andre Santos Changchun Sun Shawn Tornga Dan Wang Patrick Huck Mackinley Kath Julien Esseiva Tengming Shen Qing Ji Zhe Bai Han Lee Peter Hosemann Siyun Chen Safia Sheerin Abdul Kadhar David McCallen Khaled Ibrahim Nicolas Abgrall Qiang Du Hannah Parrilla Cameron Geddes Reed Teyber Cynthia Regnier Yilun Xu Edward Bethel Merlin J Lopez Thorsten Hellert Jayson Vavrek Daniel Feldman Mary Ann Piette Boris Faybishenko Soren Prestemon Danish Nawaz Bethany Goldblum Samuel Williams | Directed Energy (DE) Systems Development and Integration | Modeling, Simulation, and Analysis (MS&A) for DE Systems | DE Effects, Testing, and Wargaming | Advanced Space Domain Awareness (SDA) | Experimentation Support and Infrastructure |
| Research Interests of the United States Air Force Academy (formerly USAFA-BAA-2021) |
United States Air Force Academy/Dean of Faculty Research Office |
Special Notice |
[Analyzed from API Fallback] The United States Air Force Academy (USAFA) is soliciting unclassified, non-proprietary research white papers and proposals from business and academia through a Broad Agen... |
2030-12-02T18:00:00 ET |
Biotechnology ResearchPhysical Sciences ResearchEngineering Sciences ResearchLife Sciences ResearchBasic ResearchApplied ResearchAdvanced Technology DevelopmentAerospace EngineeringAdvanced Component DevelopmentPrototype DevelopmentMechanical EngineeringSystems Engineering |
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N/A |
AI Summary | Collaboration Graph |
Research Interests of the United States Air Force Academy (formerly USAFA-BAA-2021) | United States Air Force Academy/Dean of Faculty Research Office | FA7000-21-S-0001 | N/A | Biotechnology Research | Physical Sciences Research | Engineering Sciences Research | Life Sciences Research | Basic Research | Applied Research | Advanced Technology Development | Aerospace Engineering | Advanced Component Development | Prototype Development | Mechanical Engineering | Systems Engineering | [Analyzed from API Fallback] The United States Air Force Academy (USAFA) is soliciting unclassified, non-proprietary research white papers and proposals from business and academia through a Broad Agency Announcement (BAA). The goal is to develop technologies for current and future Air Force needs across a wide spectrum of research, including Basic Research (6.1), Applied Research (6.2), Advanced Technology Development (6.3), and Advanced Component Development and Prototypes (6.4). This is considered a full and open competition, with anticipated awards in the form of contracts, grants, cooperative agreements, or Other Transactions (OTs). The primary NAICS codes are 541714 and 541715. All awards are contingent upon funding, and while cost-sharing is encouraged, it is not required. | N/A | Emil Rofors Marco Salathe Alexander Sim Lisa Claus Costas P. Grigoropoulos Reynold Cooper Antoine Islegen-Wojdyla Nicola Falco Mauricio Ayllon Unzueta Deborah Bard Vassilia Zorba Jeroen van Tilborg Samuel Barber Edoardo Zoni Alex Newkirk Louis-Benoit Desroches Dhruva Kulkarni Andre Santos Shawn Tornga Grant Cutler Patrick Huck Tengming Shen Mackinley Kath Julien Esseiva Zhe Bai Peter Hosemann Safia Sheerin Abdul Kadhar Siyun Chen Peter Tennessen David McCallen Arnaud Allézy Khaled Ibrahim Mark Bandstra Nicolas Abgrall Qiang Du Hannah Parrilla Cameron Geddes Reed Teyber Cynthia Regnier Edward Bethel Merlin J Lopez Eric Masanet Thorsten Hellert Jayson Vavrek Daniel Feldman Mary Ann Piette Boris Faybishenko Anandharaj Marimuthu Soren Prestemon Xianglei Mao Weronika Wolszczak Abigayle Hodson Bethany Goldblum Samuel Williams Piotr Zarzycki |
| ACC APG DIVISION A CCDC C5ISR OPPORTUNITIES JANUARY 2026 |
CCDC/C5ISR |
Special Notice |
[Analyzed from API Fallback] This document is a high-level announcement for future contracting opportunities with the Army Contracting Command - Aberdeen Proving Ground (ACC-APG) Division A, in suppor... |
N/A |
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N/A |
AI Summary | Collaboration Graph |
ACC APG DIVISION A CCDC C5ISR OPPORTUNITIES JANUARY 2026 | CCDC/C5ISR | 6f19ebe0727b4ea99a989d8563073410 | N/A | | [Analyzed from API Fallback] This document is a high-level announcement for future contracting opportunities with the Army Contracting Command - Aberdeen Proving Ground (ACC-APG) Division A, in support of the CCDC (now DEVCOM) C5ISR Center. The opportunities are related to Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance, and Reconnaissance (C5ISR) and are anticipated for January 2026. The information is current as of April 2025, but the document itself provides no specific technical details or requirements. | N/A | Emil Rofors Marco Salathe Alexander Sim Lisa Claus Costas P. Grigoropoulos Reynold Cooper Antoine Islegen-Wojdyla Nicola Falco Mauricio Ayllon Unzueta Deborah Bard Vassilia Zorba Jeroen van Tilborg Samuel Barber Edoardo Zoni Alex Newkirk Louis-Benoit Desroches Dhruva Kulkarni Andre Santos Shawn Tornga Patrick Huck Tengming Shen Mackinley Kath Julien Esseiva Zhe Bai Peter Hosemann Safia Sheerin Abdul Kadhar Siyun Chen David McCallen Khaled Ibrahim Nicolas Abgrall Qiang Du Hannah Parrilla Cameron Geddes Reed Teyber Cynthia Regnier Edward Bethel Merlin J Lopez Thorsten Hellert Jayson Vavrek Daniel Feldman Mary Ann Piette Boris Faybishenko Soren Prestemon Bethany Goldblum Samuel Williams |
| Research Engineering Development and Analysis for Cyber Targeting (REDACT) |
Department of the Air Force/AFRL/Information Directorate |
Presolicitation |
[Analyzed from API Fallback] The U.S. Air Force, via the REDACT program (FA8750-26-S-7003), is seeking innovative research to develop adversary system-of-systems analysis for cyber targeting. This eff... |
2030-12-08T16:00:00 ET |
Adversary System AnalysisSystem-of-Systems AnalysisCyber Targeting ResearchProof-of-Concept Technology DevelopmentTechnology DeploymentOperational Environment EvaluationTactics, Techniques, and Procedures (TTP) DevelopmentTTP OptimizationEvolving Threat AnalysisRequirements EvaluationMission Partner Support Systems |
Adversary System of Systems AnalysisCyber Technology Research and Development LifecycleTactical Procedure Optimization for Evolving Threats |
CSAEESAETAPSA |
AI Summary | Collaboration Graph |
Research Engineering Development and Analysis for Cyber Targeting (REDACT) | Department of the Air Force/AFRL/Information Directorate | FA875026S7003 | CSA, EESA, ETA, PSA | Adversary System Analysis | System-of-Systems Analysis | Cyber Targeting Research | Proof-of-Concept Technology Development | Technology Deployment | Operational Environment Evaluation | Tactics, Techniques, and Procedures (TTP) Development | TTP Optimization | Evolving Threat Analysis | Requirements Evaluation | Mission Partner Support Systems | [Analyzed from API Fallback] The U.S. Air Force, via the REDACT program (FA8750-26-S-7003), is seeking innovative research to develop adversary system-of-systems analysis for cyber targeting. This effort is intended to support the Air Force, USCYBERCOM, and other mission partners. The scope includes requirements evaluation, proof-of-concept technology development, and deploying technology into operationally realistic environments for evaluation. The ultimate goal is to enable mission partners to create and optimize Tactics, Techniques, and Procedures (TTPs) against evolving threats. | Aaron Gudrian | Alan Di Vittorio Jeremy Smith Jovan Tadic Tae Hwan Lim Tiffany Connors Prabal Dutta Steven Hofmeyr Alexandre Bayen Rich Wolski Han Lee Marta Gonzalez Drew Paine Peter Tennessen Bruce Nordman Sean Peisert Jean Luca Bez Arpit Gupta Gregory Lemieux Cynthia Regnier Eric Masanet Michael Sohn Thomas Hendrickson Hannah Cohoon Anna Giannakou Abdelilah Essiari | Adversary System of Systems Analysis | Cyber Technology Research and Development Lifecycle | Tactical Procedure Optimization for Evolving Threats |
| 2026 ERDC Broad Agency Announcement |
USACE/ERDC |
Solicitation |
[Analyzed from API Fallback] The U.S. Army Corps of Engineers (USACE) Engineer Research and Development Center (ERDC) has issued a continuously open Broad Agency Announcement (BAA) for research and de... |
2027-01-01T01:00:00 ET |
Coastal and Hydraulic EngineeringGeotechnical and Structural EngineeringEnvironmental Science and RemediationCold Regions Research and EngineeringGeospatial Research and Remote SensingComputer Science and TelecommunicationsMaterials Science and EngineeringEarthquake and Blast EngineeringSoil Mechanics and Vehicle MobilityWater Quality and Aquatic SystemsOceanographic ResearchGeophysical AnalysisEcological Process ModelingEnergy Systems Research |
Key Research Areas |
EESAETA |
AI Summary | Collaboration Graph |
2026 ERDC Broad Agency Announcement | USACE/ERDC | W912HZ26S0001 | EESA, ETA | Coastal and Hydraulic Engineering | Geotechnical and Structural Engineering | Environmental Science and Remediation | Cold Regions Research and Engineering | Geospatial Research and Remote Sensing | Computer Science and Telecommunications | Materials Science and Engineering | Earthquake and Blast Engineering | Soil Mechanics and Vehicle Mobility | Water Quality and Aquatic Systems | Oceanographic Research | Geophysical Analysis | Ecological Process Modeling | Energy Systems Research | [Analyzed from API Fallback] The U.S. Army Corps of Engineers (USACE) Engineer Research and Development Center (ERDC) has issued a continuously open Broad Agency Announcement (BAA) for research and development across a wide spectrum of technical fields. These fields align with its seven laboratories and include hydraulics, dredging, coastal and geotechnical engineering, environmental science, cold regions research, construction engineering, information technology, and geospatial research. The ERDC is seeking pre-proposals at any time throughout the year, with awards being contingent upon the availability of funds. Interested parties can find detailed research topics and submission instructions at the provided ERDCWERX URL. | N/A | Baptiste Dafflon Karen Bustillo Philip Long Sylvain Fiolleau William Stringfellow Yousef Bozorgnia Steffen Uhlemann Andre Santos Mamun Miah Bruce Nordman Jingjing Zhang Ryan Knox David Alumbaugh Boris Faybishenko Jennifer Stokes-Draut Thomas Hendrickson Chun Chang Charuleka Varadharajan Cynthia Gerlein-Safdi Yuankun Xu | Key Research Areas |
| Engineer Research and Development Center Civil Works Strategic Focus Areas |
ERDC |
Solicitation |
[Analyzed from API Fallback] The Engineer Research and Development Center (ERDC) is using a Commercial Solutions Opening (CSO), a procurement mechanism similar to a Broad Agency Announcement (BAA), to... |
2027-01-01T01:00:00 ET |
Civil EngineeringScientific ResearchTechnological DevelopmentInnovative Commercial ProductsInnovative TechnologiesInnovative ServicesSubject Matter ExpertisePeer Review ProcessesCommercial Item AcquisitionDefense ResearchEngineering Development |
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N/A |
AI Summary | Collaboration Graph |
Engineer Research and Development Center Civil Works Strategic Focus Areas | ERDC | W912HZ26SC003 | N/A | Civil Engineering | Scientific Research | Technological Development | Innovative Commercial Products | Innovative Technologies | Innovative Services | Subject Matter Expertise | Peer Review Processes | Commercial Item Acquisition | Defense Research | Engineering Development | [Analyzed from API Fallback] The Engineer Research and Development Center (ERDC) is using a Commercial Solutions Opening (CSO), a procurement mechanism similar to a Broad Agency Announcement (BAA), to competitively award proposals for innovative commercial products, technologies, or services. Authorized under DoD Class Deviation 2022-O0007, this process involves a peer review by subject matter experts. A key aspect is that proposed solutions do not need to be currently 'commercially available' to be considered; if they meet the regulation's requirements, they will be treated as commercial items, allowing the use of commercial contracting procedures for the award. | N/A | Seth Carbon Baptiste Dafflon Sylvain Fiolleau William Stringfellow Cory Snavely Alex Newkirk Michael Mahoney Andre Santos Mamun Miah Zachary Needell Bruce Nordman Eric Masanet Jing Ke Boris Faybishenko Thomas Hendrickson Jennifer Stokes-Draut Chun Chang Kenichi Soga Charuleka Varadharajan |
| Commercial Solutions Opening (CSO) for Space Domain Awareness (SDA) Solutions. |
United States Space Force/SAIO |
Combined Synopsis/Solicitation |
The United States Space Force (USSF) Space Acquisition & Integration Office (SAIO) has released a five-year Commercial Solutions Opening (CSO) with an estimated funding ceiling of $6 million to acquir... |
2030-01-23T14:00:00 ET |
Space Domain Awareness (SDA)Advanced Software EngineeringSDA Data AnalyticsSpace Object CharacterizationPredictive Modeling AlgorithmsSpace Sensor Data ProcessingMulti-Source Data FusionSystems Integration & InteroperabilityCybersecurity ComplianceScalable Software ArchitecturePhysical & Engineering Sciences R&DModeling and SimulationAlgorithm Development |
Advanced SDA Data Analytics and PredictionInnovative and Scalable SDA Software Systems |
BSACSAEESAETALDPSA |
AI Summary | Collaboration Graph |
Commercial Solutions Opening (CSO) for Space Domain Awareness (SDA) Solutions. | United States Space Force/SAIO | FA2518-25-S-C001 | BSA, CSA, EESA, ETA, LD, PSA | Space Domain Awareness (SDA) | Advanced Software Engineering | SDA Data Analytics | Space Object Characterization | Predictive Modeling Algorithms | Space Sensor Data Processing | Multi-Source Data Fusion | Systems Integration & Interoperability | Cybersecurity Compliance | Scalable Software Architecture | Physical & Engineering Sciences R&D | Modeling and Simulation | Algorithm Development | The United States Space Force (USSF) Space Acquisition & Integration Office (SAIO) has released a five-year Commercial Solutions Opening (CSO) with an estimated funding ceiling of $6 million to acquire innovative commercial solutions for Space Domain Awareness (SDA). The solicitation will result in Fixed-Price contracts and follows a multi-phase process: Phase I (White Paper and PowerPoint), an optional Phase II (Pitch Session), and an invitation-only Phase III (Full Proposal). The scope focuses on enhancing SDA capabilities such as detecting/characterizing space activities and improving data accuracy. This is an enterprise-wide vehicle allowing various USSF organizations to issue specific Areas of Interest (AOIs). The initial AOI is set aside for small businesses. Foreign participation is prohibited, and offerors must comply with cybersecurity standards like NIST SP 800-171 and CMMC 2.0. | SAIO.SDA.CSO@spaceforce.mil | Emil Rofors Marco Salathe Didier Perrodin Alexander Sim Helen Weierbach Rohan Adwankar Ana Comesana Karlo Berket Danielle Svehla Christianson Sufi Kaur Tiffany Connors Michael Mahoney Andre Santos Oscar Antepara Shawn Tornga Zhe Bai Zachary Needell Bruce Nordman Cees De Laat Gregory Lemieux Stefan Lasiewski Vinay Sawal Gazi Mahmud Hannah Cohoon Edward Schlafly Charuleka Varadharajan Oluwamayowa Amusat | Advanced SDA Data Analytics and Prediction | Innovative and Scalable SDA Software Systems |
| Strategic Technology Office-wide Innovation Solutions Opening Announcement |
DARPA/STO |
Solicitation |
The Defense Advanced Research Projects Agency's (DARPA) Strategic Technology Office (STO) has issued a long-term, open-call Innovation Solutions Opening (DARPA-PS-26-09) seeking revolutionary research... |
2027-10-31T23:59:00 ET |
Acoustic Communication & SensingApplied Artificial IntelligenceAutonomy & Control AlgorithmsHuman-Machine Teaming & SymbiosisDirected Energy SystemsElectromagnetic WarfareAdaptive Communications & NetworkingRF, Radar & Millimeter Wave SystemsPhotonics & Electro-Optic/Infrared SensorsSpace Systems & ArchitecturesUndersea & Seabed TechnologyAdvanced Computing & Software DevelopmentModeling & SimulationRobotics & Autonomous SystemsAdditive Manufacturing |
Key Research Areas |
ETALD |
AI Summary | Collaboration Graph |
Strategic Technology Office-wide Innovation Solutions Opening Announcement | DARPA/STO | DARPA-PS-26-09 | ETA, LD | Acoustic Communication & Sensing | Applied Artificial Intelligence | Autonomy & Control Algorithms | Human-Machine Teaming & Symbiosis | Directed Energy Systems | Electromagnetic Warfare | Adaptive Communications & Networking | RF, Radar & Millimeter Wave Systems | Photonics & Electro-Optic/Infrared Sensors | Space Systems & Architectures | Undersea & Seabed Technology | Advanced Computing & Software Development | Modeling & Simulation | Robotics & Autonomous Systems | Additive Manufacturing | The Defense Advanced Research Projects Agency's (DARPA) Strategic Technology Office (STO) has issued a long-term, open-call Innovation Solutions Opening (DARPA-PS-26-09) seeking revolutionary research ideas for topics not addressed by ongoing STO programs. The announcement specifically excludes proposals for evolutionary improvements, focusing instead on disruptive technologies for future battlespaces across air, space, sea, and land domains. Interested parties must first submit a 3-page abstract on a rolling basis until the closing date of October 31, 2027. Full proposals will only be accepted upon written invitation from the government after a successful abstract review. Key technology areas of interest are broad and include, but are not limited to, autonomy, command and control (C2), advanced communications and networking, AI, sensors, space systems, and undersea technology. Evaluation criteria, in descending order of importance, are: Overall Scientific and Technical Merit, Potential Contribution and Relevance to the DARPA Mission, and Price/Cost Realism. Multiple awards are anticipated, potentially as Other Transaction Agreements (OTAs), cooperative agreements, or for procurement for experimental purposes. | DARPA-PS-26-09@darpa.mil | Claire Tomlin Sarah Smith Anand Krishnan Prakash Peng Peng Tae Hwan Lim Dongwoo Paeng Alex Newkirk Shawn Tornga David Blum Steven Hofmeyr Zachary Needell Satyarth Praveen Arpit Gupta Mengjie Yu Cameron Geddes Zhi Jackie Yao Stijn (Stan) Wielandt Jennifer Stokes-Draut Thomas Hendrickson Sunhee Baik | Key Research Areas |
| Military Unique Sustainment Technology III (MUST-III) Research and Development SP4701-26-B-0001 |
DLA/R&D |
Solicitation |
The Defense Logistics Agency (DLA) has issued a Broad Agency Announcement (BAA) for the Military Unique Sustainment Technology III (MUST-III) program, a research and development initiative focused on ... |
2030-12-02T17:00:00 ET |
Digital Thread & Digital TwinModel-Based Systems EngineeringAI / Machine LearningSupply Chain Modeling & SimulationPredictive AnalyticsAdvanced Materials & FabricsWearable TechnologiesRobotics & Automated Production3D Textile ManufacturingDigital Engineering & DesignPoint-of-Need ManufacturingCybersecurity ArchitecturesOn-Demand & Custom ManufacturingAugmented Reality Systems |
Digital as an Authoritative Source for Clothing and Individual EquipmentSupply Chain Resilience for Clothing and Individual EquipmentInnovation in Materials, Design, and Production Methods for Clothing and Equipment |
BSACSAESAETALD |
AI Summary | Collaboration Graph |
Military Unique Sustainment Technology III (MUST-III) Research and Development SP4701-26-B-0001 | DLA/R&D | SP470126B0001 | BSA, CSA, ESA, ETA, LD | Digital Thread & Digital Twin | Model-Based Systems Engineering | AI / Machine Learning | Supply Chain Modeling & Simulation | Predictive Analytics | Advanced Materials & Fabrics | Wearable Technologies | Robotics & Automated Production | 3D Textile Manufacturing | Digital Engineering & Design | Point-of-Need Manufacturing | Cybersecurity Architectures | On-Demand & Custom Manufacturing | Augmented Reality Systems | The Defense Logistics Agency (DLA) has issued a Broad Agency Announcement (BAA) for the Military Unique Sustainment Technology III (MUST-III) program, a research and development initiative focused on modernizing the Department of Defense's Class II supply chain (clothing and individual equipment). With a total planned investment of up to $50 million over five years (FY2026-2030), the program seeks to leverage commercial advancements in design, engineering, and manufacturing. Key technical areas of interest include: 1) establishing digital data as the authoritative source for specifications and manufacturing, 2) enhancing supply chain resilience through adaptive manufacturing and buffer strategies, and 3) fostering innovation in materials, designs, and production methods like 3D knitting and automated sewing. The BAA outlines a two-part submission process: an initial 45-day window for full proposals to be considered for Indefinite Delivery, Indefinite Quantity (IDIQ) 'working group' contracts, followed by a reopening of the BAA for White Paper submissions that may lead to individual contract awards. Evaluation will prioritize technical feasibility, viability for transition to operational use, and desirability to the end-user over cost. | Andrea Nicolucci | Prakash Rao Han Li Rohan Adwankar Nihan Karali Ana Comesana Peng Peng Tae Hwan Lim Guoying Chen Alex Newkirk Tiffany Connors Michael Mahoney Lane Martin Talita Perciano Costa Leite Kenny Higa Carolin Sutter-Fella Christian Schmid Nica Campbell Unique Karki Weiping Huang Gregory Lemieux Alan Meier Daryl Chrzan Mary Ann Piette Jing Ke Gazi Mahmud Thomas Hendrickson Jennifer Stokes-Draut Panagiotis Zarkos Xiong Peng Sunhee Baik Marco Pritoni Donghun Kim Oluwamayowa Amusat | Digital as an Authoritative Source for Clothing and Individual Equipment | Supply Chain Resilience for Clothing and Individual Equipment | Innovation in Materials, Design, and Production Methods for Clothing and Equipment |
| Information Innovation Office (I2O) Office-Wide |
DARPA/I2O |
Solicitation |
The Defense Advanced Research Projects Agency (DARPA) Information Innovation Office (I2O) has issued an office-wide Broad Agency Announcement (BAA) to solicit revolutionary research proposals for topi... |
2026-11-30T17:00:00 ET |
Transformative Artificial IntelligenceTrustworthy AI SystemsThird-Wave AI MethodologiesResilient Complex SystemsFormal Methods for Software VerificationCyber-Physical Systems SecurityAutomated Software RepairAI-driven CybersecurityOffensive Cyber OperationsDefensive Cyber CapabilitiesUser Privacy TechnologiesInformation Domain AnalysisCognitive Security ModelingSemantic Knowledge ExtractionSecure Message Transport |
Transformative AIResilient, Adaptable, and Secure Software and Complex SystemsOffensive and Defensive Cyber Security and PrivacyFighting in the Information Domain |
BSACSAEESAETAPSA |
AI Summary | Collaboration Graph |
Information Innovation Office (I2O) Office-Wide | DARPA/I2O | HR001126S0001 | BSA, CSA, EESA, ETA, PSA | Transformative Artificial Intelligence | Trustworthy AI Systems | Third-Wave AI Methodologies | Resilient Complex Systems | Formal Methods for Software Verification | Cyber-Physical Systems Security | Automated Software Repair | AI-driven Cybersecurity | Offensive Cyber Operations | Defensive Cyber Capabilities | User Privacy Technologies | Information Domain Analysis | Cognitive Security Modeling | Semantic Knowledge Extraction | Secure Message Transport | The Defense Advanced Research Projects Agency (DARPA) Information Innovation Office (I2O) has issued an office-wide Broad Agency Announcement (BAA) to solicit revolutionary research proposals for topics not currently addressed by ongoing I2O programs. The BAA targets unconventional and disruptive approaches in four key thrust areas: Transformative AI, Resilient/Adaptable/Secure Software and Complex Systems, Offensive/Defensive Cybersecurity and Privacy, and Fighting in the Information Domain. The announcement explicitly excludes research that offers only evolutionary improvements. Interested parties must first submit an abstract and receive an invitation before submitting a full proposal. Submissions are accepted on a rolling basis, and multiple award types are anticipated, including procurement contracts, grants, and Other Transactions (OTs). | HR001126S0001@darpa.mil | Alexander Sim Kevin Cruse Adam Slagell Rohan Adwankar Neel Rajeshbhai Vora Sufi Kaur Alex Newkirk John Wu Tiffany Connors Margaret Taylor Alexandre Bayen Ana Kupresanin Koushik Sen Zhe Bai Angelos Ioannou Aydin Buluc Drew Paine Sean Peisert Dan Bonachea Jean Luca Bez Gregory Lemieux Marcos Lopez de Prado Vinay Sawal Edward Bethel Silvia Crivelli Gazi Mahmud Hannah Cohoon Anna Giannakou Jeetika Malik Sunhee Baik Abdelilah Essiari Samuel Williams | Transformative AI | Resilient, Adaptable, and Secure Software and Complex Systems | Offensive and Defensive Cyber Security and Privacy | Fighting in the Information Domain |
| Research and Development (R&D) for Next Generation Aircraft Protection Technologies |
AFLCMC/HNJW |
Special Notice |
[Analyzed from API Fallback] The Air Force Life Cycle Management Center's Electronic Warfare Branch (AFLCMC/HNJW) is seeking innovative research and development for a modular, open-architecture "Next ... |
2030-11-23T17:00:00 ET |
System Architecture & ModelingOpen Architecture StandardsRadio Frequency (RF) SensingElectro-Optical/Infrared (EO/IR) SensingLaser Warning SystemsAcoustic SensingAdvanced Processing HardwareAlgorithm DevelopmentRadio Frequency Countermeasures (RFCM)Electro-Optical CountermeasuresHigh-Power Microwave (HPM)Directed Energy TechnologiesKinetic & Non-Kinetic EffectorsRapid Technology Prototyping |
System Architecture, Modeling, and SimulationAdvanced Sensing and Detection (Detect Layer)Advanced Processing and Decision Making (Decide Layer)Advanced Countermeasures and Effectors (Defeat Layer) |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Research and Development (R&D) for Next Generation Aircraft Protection Technologies | AFLCMC/HNJW | FA2057-26-S-C001 | BSA, CSA, EESA, ESA, ETA, LD, PSA | System Architecture & Modeling | Open Architecture Standards | Radio Frequency (RF) Sensing | Electro-Optical/Infrared (EO/IR) Sensing | Laser Warning Systems | Acoustic Sensing | Advanced Processing Hardware | Algorithm Development | Radio Frequency Countermeasures (RFCM) | Electro-Optical Countermeasures | High-Power Microwave (HPM) | Directed Energy Technologies | Kinetic & Non-Kinetic Effectors | Rapid Technology Prototyping | [Analyzed from API Fallback] The Air Force Life Cycle Management Center's Electronic Warfare Branch (AFLCMC/HNJW) is seeking innovative research and development for a modular, open-architecture "Next Generation Aircraft Protection" system. This five-year, two-step Commercial Solutions Opening (CSO) will solicit white papers and proposals from a wide range of vendors. The areas of interest are divided into four layers: System Architecture/Modeling, Detect (Sensing), Decide (Processing), and Defeat (Countermeasures/Effectors). Key technologies sought include advanced RF/optical sensors, advanced processing algorithms, and countermeasures such as RFCM, Electro/Optical CM, high-power microwave, and directed energy. Submissions must comply with the Agile Mission Suite (AMS) Government Reference Architecture (GRA). Access to detailed documents requires vendors to have a current NIST assessment registered in the Supplier Performance Risk System (SPRS). | N/A | Marco Salathe Alexander Sim Alp Sipahigil Matthias Sulzer Xiaoya Chong Eric Esarey Cory Snavely Neel Rajeshbhai Vora Tae Hwan Lim Hao Ding Jason Lowe-Power Alex Newkirk John Wu Michael Wetter Andre Santos Oscar Antepara Shawn Tornga Dan Wang Julien Esseiva Angelos Ioannou Zhe Bai Azriel Goldschmidt Peter Tennessen Blake Simmons Linqing Luo Jean Luca Bez Qiang Du Gregory Lemieux Cameron Geddes Wei Liu Zhao Hao Yilun Xu Edward Bethel Russell Wilcox Jayson Vavrek Stijn (Stan) Wielandt Jennifer Stokes-Draut Sunhee Baik Marco Pritoni Samuel Williams Luisa Gonzalez | System Architecture, Modeling, and Simulation | Advanced Sensing and Detection (Detect Layer) | Advanced Processing and Decision Making (Decide Layer) | Advanced Countermeasures and Effectors (Defeat Layer) |
| CHEERS MAA Open Period 2 - All Technical Areas, 10 U.S.C. 4023 - Procurement for Experimental Purposes (ARA) |
AFRL |
Solicitation |
This document, FA2384-24-S-2335, is an Open Period Solicitation from the Air Force Research Laboratory Human Effectiveness Directorate (AFRL/RH) and the USAF School of Medicine (USAFSAM) for the Conti... |
2027-09-30T17:00:00 ET |
Human Performance MonitoringCognitive Enhancement TechnologiesPhysiological Augmentation SystemsHuman-Autonomy TeamingBiomedical Sensor DevelopmentAerospace Medicine ResearchBiosignal Processing and AnalysisFatigue Management TechnologiesRehabilitative & Restorative MedicinePersonalized Health AnalyticsEnvironmental Stress MitigationAdvanced Protective EquipmentApplied Neuroscience |
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N/A |
AI Summary | Collaboration Graph |
CHEERS MAA Open Period 2 - All Technical Areas, 10 U.S.C. 4023 - Procurement for Experimental Purposes (ARA) | AFRL | FA238424S2335 | N/A | Human Performance Monitoring | Cognitive Enhancement Technologies | Physiological Augmentation Systems | Human-Autonomy Teaming | Biomedical Sensor Development | Aerospace Medicine Research | Biosignal Processing and Analysis | Fatigue Management Technologies | Rehabilitative & Restorative Medicine | Personalized Health Analytics | Environmental Stress Mitigation | Advanced Protective Equipment | Applied Neuroscience | This document, FA2384-24-S-2335, is an Open Period Solicitation from the Air Force Research Laboratory Human Effectiveness Directorate (AFRL/RH) and the USAF School of Medicine (USAFSAM) for the Continuing Human Enabling, Enhancing, Restoring and Sustaining (CHEERS) program. Issued under the 10 U.S.C. 4023 authority for Procurement for Experimental Purposes, it solicits solutions for all technical areas detailed in the parent CHEERS MAA (FA2384-24-S-2233). The process is a two-step submission: interested parties must first submit a white paper by the deadline of September 30, 2027. Offerors with successful white papers will then be invited to submit a full proposal. The total value of all awards resulting from this solicitation will not exceed $499.87 million, with multiple awards anticipated. Many specific details such as deliverables and schedules are to be determined based on the proposals received. | AFRL.711HPW.MAA@us.af.mil | Marco Salathe Alexander Sim Alp Sipahigil Matthias Sulzer Xiaoya Chong Eric Esarey Mark Alper Neel Rajeshbhai Vora Steffen Uhlemann Tae Hwan Lim Alex Newkirk John Wu Michael Wetter Andre Santos Shawn Tornga Yi-Chuan Lu Dan Wang Julien Esseiva Amy Kronenberg Angelos Ioannou Zhe Bai Azriel Goldschmidt Blake Simmons Linqing Luo Jean Luca Bez Qiang Du Gregory Lemieux Wei Liu Zhao Hao Alan Meier Yilun Xu Edward Bethel Karthik Shekhar Kevin Fan Jayson Vavrek Stijn (Stan) Wielandt Thomas Hendrickson Jennifer Stokes-Draut Victor Negut Sunhee Baik Marco Pritoni Zachary Jones Samuel Williams |
| CHEERS MAA Open Period 1 - All Technical Areas, 10 U.S.C. 4001 Broad Agency Announcement (BAA) |
AFRL/RH & USAFSAM |
Solicitation |
The Air Force Research Laboratory (AFRL) and the US Air Force School of Medicine (USAFSAM) are soliciting white papers under the Continuing Human Enabling, Enhancing, Restoring, and Sustaining (CHEERS... |
2027-09-30T17:00:00 ET |
Human Performance MeasurementCognitive Science & EnhancementPhysiological Monitoring SystemsHuman-Autonomy TeamingBiomedical ResearchAerospace & Operational MedicineInjury Prevention & RehabilitationWearable Sensor TechnologiesAugmented & Virtual Reality TrainingDirected Energy BioeffectsHuman Systems IntegrationEn Route Medical CareProtective Equipment DevelopmentFatigue Management Science |
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N/A |
AI Summary | Collaboration Graph |
CHEERS MAA Open Period 1 - All Technical Areas, 10 U.S.C. 4001 Broad Agency Announcement (BAA) | AFRL/RH & USAFSAM | FA238424S2334 | N/A | Human Performance Measurement | Cognitive Science & Enhancement | Physiological Monitoring Systems | Human-Autonomy Teaming | Biomedical Research | Aerospace & Operational Medicine | Injury Prevention & Rehabilitation | Wearable Sensor Technologies | Augmented & Virtual Reality Training | Directed Energy Bioeffects | Human Systems Integration | En Route Medical Care | Protective Equipment Development | Fatigue Management Science | The Air Force Research Laboratory (AFRL) and the US Air Force School of Medicine (USAFSAM) are soliciting white papers under the Continuing Human Enabling, Enhancing, Restoring, and Sustaining (CHEERS) program through Broad Agency Announcement (BAA) FA2384-24-S-2334. This 'Open Period 1' solicitation covers all technical areas related to human effectiveness as detailed in the parent CHEERS Multiple Authority Announcement (MAA) FA2384-24-S-2233. The process is a two-step submission where interested parties must first submit a white paper by September 30, 2027. If the government deems a white paper to be of interest, it will request a full technical and cost proposal. The total value of all awards under this open period solicitation will not exceed $484.73M, with multiple award types anticipated, including contracts, grants, and other agreements. Offerors must refer to the parent CHEERS MAA for critical documents, including Statements of Objectives and submission guidelines. | AFRL.711HPW.MAA@us.af.mil | Marco Salathe Alexander Sim Claire Tomlin Alp Sipahigil Matthias Sulzer Xiaoya Chong Spencer Dutton Eric Esarey Neel Rajeshbhai Vora Tae Hwan Lim Alex Newkirk John Wu Louis-Benoit Desroches Michael Wetter Andre Santos Prabal Dutta Shawn Tornga Dan Wang Julien Esseiva Amy Kronenberg Angelos Ioannou Zhe Bai Azriel Goldschmidt Costin Iancu Peter Tennessen Blake Simmons Linqing Luo Jean Luca Bez Qiang Du Jingjing Zhang Gregory Lemieux Wei Liu Zhao Hao Yilun Xu Edward Bethel Jayson Vavrek Stijn (Stan) Wielandt Jennifer Stokes-Draut John Conboy Sunhee Baik Marco Pritoni Zachary Jones Samuel Williams |
| Applications for Cyber Warfare: Genesis |
AFRL/Information Directorate |
Presolicitation |
The U.S. Air Force Research Laboratory (AFRL) is soliciting white papers for the 'Applications for Cyber Warfare: Genesis' Advanced Research Announcement (ARA FA8750-25-S-7006), a $999M program runnin... |
2030-09-30T18:00:00 ET |
Cyber Operations PlatformsCyber Weaponry DevelopmentCyber Command & ControlNetwork Deception SystemsAutomated Data AnalyticsPredictive Cyber AnalysisCyber Intelligence GatheringCross-Domain Cyber EffectsStealth & Persistence TechniquesCyber Resilience EngineeringHigh-Assurance ArchitecturesAdvanced Endpoint MonitoringCyber Mission PlanningNetwork Automation & Restoration |
Joint Force Cyber Campaigning and ResilienceCyber Intelligence and AnalyticsAdvanced Cyber Platforms and Weaponry |
BSACSAEESAETALD |
AI Summary | Collaboration Graph |
Applications for Cyber Warfare: Genesis | AFRL/Information Directorate | FA8750-25-S-7006 | BSA, CSA, EESA, ETA, LD | Cyber Operations Platforms | Cyber Weaponry Development | Cyber Command & Control | Network Deception Systems | Automated Data Analytics | Predictive Cyber Analysis | Cyber Intelligence Gathering | Cross-Domain Cyber Effects | Stealth & Persistence Techniques | Cyber Resilience Engineering | High-Assurance Architectures | Advanced Endpoint Monitoring | Cyber Mission Planning | Network Automation & Restoration | The U.S. Air Force Research Laboratory (AFRL) is soliciting white papers for the 'Applications for Cyber Warfare: Genesis' Advanced Research Announcement (ARA FA8750-25-S-7006), a $999M program running until September 2030. The objective is to research, design, develop, and prototype next-generation cyber warfare capabilities, including platforms and weaponry, to ensure U.S. operational superiority in the cyber domain. This is a two-step process where interested parties first submit a white paper, with formal proposals by invitation only. Key technology areas of interest include platforms/architectures, command and control, effects-based capabilities, predictive analysis, cross-domain operations, intelligence gathering and processing, and stealth/persistence capabilities. Multiple awards, typically ranging from $10M to $50M over 60 months, are anticipated in the form of FAR-based contracts or Other Transactions (OTs), with the potential for follow-on production contracts. | Thomas Parisi | Alexander Sim Natalie Popovich Adam Slagell Anand Krishnan Prakash Alexandre Moreira da Silva Ronal Kumar Jason Lowe-Power Alex Newkirk John Wu Tiffany Connors Vern Paxson Shawn Tornga Steven Hofmeyr Alexandre Bayen Ana Kupresanin Angelos Ioannou Drew Paine David McCallen Bruce Nordman Sean Peisert Satyarth Praveen Vinay Sawal Gazi Mahmud Anna Giannakou Georgios Michelogiannakis Venkatesh Akella Charuleka Varadharajan Sunhee Baik Abdelilah Essiari | Joint Force Cyber Campaigning and Resilience | Cyber Intelligence and Analytics | Advanced Cyber Platforms and Weaponry |
| EXTREME COMPUTING |
AFRL/Information Directorate |
Presolicitation |
The Department of the Air Force, through the Air Force Research Laboratory (AFRL), has released Broad Agency Announcement (BAA) FA8750-23-S-7004, titled 'Extreme Computing.' With a total estimated fun... |
2028-09-20T16:00:00 ET |
Efficient Computing ArchitecturesEmbedded Machine LearningComputing at the EdgeNanocomputingSpace Domain ComputingRobust AI AlgorithmsNeuromorphic ComputingNanoelectronic DevicesHigh-Performance Embedded ComputingAutonomous Intelligent SystemsBio-Inspired ArchitecturesSecure & Trusted AILow SWaP System DesignComputational NeurosciencePattern Recognition & Analysis |
Advancing Computing Technology and ApplicationsNano-ComputingNeuromorphic Computing and Applying Machine LearningRobust and Efficient Architectures for Embedded Deep Learning |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
EXTREME COMPUTING | AFRL/Information Directorate | FA875023S7004 | BSA, CSA, ESA, ETA, PSA | Efficient Computing Architectures | Embedded Machine Learning | Computing at the Edge | Nanocomputing | Space Domain Computing | Robust AI Algorithms | Neuromorphic Computing | Nanoelectronic Devices | High-Performance Embedded Computing | Autonomous Intelligent Systems | Bio-Inspired Architectures | Secure & Trusted AI | Low SWaP System Design | Computational Neuroscience | Pattern Recognition & Analysis | The Department of the Air Force, through the Air Force Research Laboratory (AFRL), has released Broad Agency Announcement (BAA) FA8750-23-S-7004, titled 'Extreme Computing.' With a total estimated funding of $497.9 million, this open, two-step BAA is effective until September 20, 2028. It solicits white papers for research, development, and evaluation of advanced computing technologies. Key technical areas include computational diversity and efficient architectures, embedded AI/machine learning, computing at the edge, nanocomputing, space computing, and robust algorithms. The objective is to develop revolutionary computational capabilities with greater autonomy and intelligence for Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) and other Air Force/Space Force applications, particularly in SWaP-constrained environments. Initial submissions are limited to white papers; formal proposals are by invitation only. Multiple awards are anticipated, typically ranging from $1M to $3M over 36 months, with the potential for larger awards up to $99.9M, issued as contracts, grants, or other transactions (OTs). | Joel Moore | Alexander Sim Alp Sipahigil Shiva Shunmugam Nagarajan Ali Javey Sayeef Salahuddin Neel Rajeshbhai Vora Christoph Kirst Ran Cheng Kaushalya Jhuria Tiffany Connors Stephanie Prince Fabrice Roncoroni Junqiao Wu Carolin Sutter-Fella Alexandre Bayen Angelos Ioannou Suren Byna Aydin Buluc Shashank Subramanian Corneel Casert Farzad Fatollahi-Fard Luisa Caldas Dilip Vasudevan Jean Luca Bez Vinay Sawal Edward Bethel Karthik Shekhar Hasita Veluri Gazi Mahmud Georgios Michelogiannakis Venkatesh Akella Marco Pritoni Samuel Williams Luisa Gonzalez | Advancing Computing Technology and Applications | Nano-Computing | Neuromorphic Computing and Applying Machine Learning | Robust and Efficient Architectures for Embedded Deep Learning |
| Quantum Benchmarking Initiative (QBI) 2026 Announcement |
DARPA/MTO |
Solicitation |
The Defense Advanced Research Projects Agency (DARPA) has issued the Quantum Benchmarking Initiative (QBI) 2026 Program Announcement (DARPA-PA-26-02) to solicit revolutionary, high-risk approaches for... |
2026-11-14T23:59:00 ET |
Fault-Tolerant Quantum ComputingUtility-Scale Quantum SystemsQuantum Computer ArchitectureQuantum System EngineeringQuantum Subsystem DevelopmentQuantum Component IntegrationQuantum System PrototypingQuantum Test and EvaluationQuantum System BenchmarkingQuantum Verification & ValidationQuantum Algorithm AnalysisHybrid Computational Workflows |
Utility-Scale Quantum Computer (USQC) Conceptual DesignResearch, Development, and Prototyping PlanVerification, Validation, and Benchmarking |
CSAEESAESALDPSA |
AI Summary | Collaboration Graph |
Quantum Benchmarking Initiative (QBI) 2026 Announcement | DARPA/MTO | DARPA-PA-26-02 | CSA, EESA, ESA, LD, PSA | Fault-Tolerant Quantum Computing | Utility-Scale Quantum Systems | Quantum Computer Architecture | Quantum System Engineering | Quantum Subsystem Development | Quantum Component Integration | Quantum System Prototyping | Quantum Test and Evaluation | Quantum System Benchmarking | Quantum Verification & Validation | Quantum Algorithm Analysis | Hybrid Computational Workflows | The Defense Advanced Research Projects Agency (DARPA) has issued the Quantum Benchmarking Initiative (QBI) 2026 Program Announcement (DARPA-PA-26-02) to solicit revolutionary, high-risk approaches for developing a utility-scale, fault-tolerant quantum computer (USQC) by the year 2033. This announcement functions as an umbrella program; proposals will not be accepted directly. Instead, DARPA will issue specific 'Quantum Benchmarking Initiative Topics' (QBITs), each with its own technical focus, submission instructions, and deadlines. The initiative's goal is to rigorously verify and validate the entire path to a USQC, including the concept, R&D plan, and risk mitigation, while excluding projects that offer only evolutionary improvements. Awards are expected to be Other Transaction (OT) agreements to support rapid prototyping and research. | Dr. Joseph Altepeter | Alp Sipahigil Jean-Francois Croteau Ian Pong Kan-Heng Lee Akash Dixit Erhan Saglamyurek Neel Rajeshbhai Vora Marina Radulaski Siyuan Niu Yizhi Shen Tengming Shen Angelos Ioannou Meriam Gay Bautista-Jurney Daan Camps Zhao Hao Reed Teyber Yilun Xu Katherine Klymko Jonathan Carter Ravi Naik Soren Prestemon Anna Giannakou Alexei Fedorov Anthony Ciavarella Jan Balewski Roel Van Beeumen Boubacar Kante | Utility-Scale Quantum Computer (USQC) Conceptual Design | Research, Development, and Prototyping Plan | Verification, Validation, and Benchmarking |
| INTELLIGENCE, SURVEILLANCE, ANDRECONNAISSANCE (ISR) SYSTEMS AND INFORMATION OPERATIONS (IO) FROM SEABED TO SPACE (S2ISR) |
Navy/NIWC Pacific |
Presolicitation |
[Analyzed from API Fallback] The Naval Information Warfare Center (NIWC) Pacific is issuing a Request for Proposal (RFP) No. N6600126R0019 for technical support services related to Intelligence, Surve... |
N/A |
ISR Systems DevelopmentInformation Operations SupportAlgorithm DevelopmentData Design & ProcessingHardware Development & FabricationSoftware DevelopmentSystems EngineeringCybersecurity OperationsCNBR Systems AnalysisUnmanned & Autonomous SystemsTactical Data CommunicationsSatellite Terminal SystemsSeabed Surveillance SystemsSpace Systems Engineering |
ISR System Lifecycle EngineeringMulti-Domain Autonomous & Unmanned PlatformsAdvanced Data Processing and Algorithm DevelopmentInformation Operations (IO) and CybersecurityGlobal Logistics, Sustainment, and Specialized Support |
BSACSAEESAETALDPSA |
AI Summary | Collaboration Graph |
INTELLIGENCE, SURVEILLANCE, ANDRECONNAISSANCE (ISR) SYSTEMS AND INFORMATION OPERATIONS (IO) FROM SEABED TO SPACE (S2ISR) | Navy/NIWC Pacific | N66001-26-R-0019 | BSA, CSA, EESA, ETA, LD, PSA | ISR Systems Development | Information Operations Support | Algorithm Development | Data Design & Processing | Hardware Development & Fabrication | Software Development | Systems Engineering | Cybersecurity Operations | CNBR Systems Analysis | Unmanned & Autonomous Systems | Tactical Data Communications | Satellite Terminal Systems | Seabed Surveillance Systems | Space Systems Engineering | [Analyzed from API Fallback] The Naval Information Warfare Center (NIWC) Pacific is issuing a Request for Proposal (RFP) No. N6600126R0019 for technical support services related to Intelligence, Surveillance, and Reconnaissance (ISR) and Information Operations (IO) from seabed to space. The scope includes a wide range of activities such as algorithm development, hardware and software development, fabrication, installation, systems engineering, cybersecurity, and sustainment for various ISR systems, including unmanned platforms and those involving chemical, nuclear, biological, and radiological (CNBR) elements. This is a full-and-open competition for multiple indefinite-delivery, indefinite-quantity (IDIQ) contracts with a seven-year ordering period and cost-plus-fixed-fee (CPFF) pricing. The work will be performed worldwide with security classifications ranging from Unclassified to Top Secret/SCI. The NAICS code is 541715. | N/A | Prakash Rao Emil Rofors Claire Tomlin Natalie Popovich Rohan Adwankar Adam Slagell Nicola Falco Nihan Karali Anand Krishnan Prakash Peng Peng Alexandre Moreira da Silva Tae Hwan Lim Sy-Toan Ngo Alex Newkirk John Wu Tiffany Connors Andre Santos Sukhpreet Kaur Julia dos Santos Maia Correa Oscar Antepara Shawn Tornga Margaret Taylor David Blum Nica Campbell Angelos Ioannou Aydin Buluc Peter Tennessen David McCallen Blake Simmons Sean Peisert Gregory Lemieux Meriam Gay Bautista-Jurney Cynthia Regnier Edward Bethel Houjun Tang Eric Masanet Gazi Mahmud Thomas Hendrickson Jennifer Stokes-Draut Douglas Black Bruce Mah Jeetika Malik Sunhee Baik Marco Pritoni Donghun Kim Oluwamayowa Amusat | ISR System Lifecycle Engineering | Multi-Domain Autonomous & Unmanned Platforms | Advanced Data Processing and Algorithm Development | Information Operations (IO) and Cybersecurity | Global Logistics, Sustainment, and Specialized Support |
| NIWC Atlantic Rapid Capabilities Office Commercial Solutions Opening |
Naval Information Warfare Center (NIWC) Atlantic/RCO |
Special Notice |
The Naval Information Warfare Center (NIWC) Atlantic Rapid Capabilities Office (RCO) has issued a Commercial Solutions Opening (CSO), N65236-26-S-0001, to streamline and accelerate the prototyping and... |
2028-11-04T17:00:00 ET |
Robotics and Autonomous SystemsAI / Machine LearningCommand and Control (C2) SystemsBattlespace Connectivity & NetworkingWireless Communications and WaveformsNon-Kinetic & Electronic WarfareCyber OperationsDecision Support & AutomationUnmanned Systems (UxV) IntegrationOptical & Quantum CommunicationsSpectrum Management & OperationsCommunications Security & EncryptionML Operations (MLOps)Counter-Unmanned Systems |
Battlespace ConnectivityBattlespace Command and Control (C2)Robotics and Autonomous SystemsNon-Kinetic EffectsDecision Advantage |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
NIWC Atlantic Rapid Capabilities Office Commercial Solutions Opening | Naval Information Warfare Center (NIWC) Atlantic/RCO | N6523626S0001 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Robotics and Autonomous Systems | AI / Machine Learning | Command and Control (C2) Systems | Battlespace Connectivity & Networking | Wireless Communications and Waveforms | Non-Kinetic & Electronic Warfare | Cyber Operations | Decision Support & Automation | Unmanned Systems (UxV) Integration | Optical & Quantum Communications | Spectrum Management & Operations | Communications Security & Encryption | ML Operations (MLOps) | Counter-Unmanned Systems | The Naval Information Warfare Center (NIWC) Atlantic Rapid Capabilities Office (RCO) has issued a Commercial Solutions Opening (CSO), N65236-26-S-0001, to streamline and accelerate the prototyping and acquisition of innovative commercial technologies. This initiative, available from November 2025 to November 2028, will seek solutions through specific Areas of Interest (AOIs) in five technical domains: Battlespace Connectivity, Battlespace Command and Control (C2), Robotics and Autonomous Systems, Non-Kinetic Effects, and Decision Advantage (including AI/ML). The acquisition process involves a three-phase competition: an initial Solution Brief, an invitation-only Pitch, and a final full Proposal. Awards will be Firm Fixed Price or Fixed Price Incentive, with individual awards not expected to exceed $100 million. Potential award vehicles include FAR-based contracts, Other Transaction Agreements (OTAs) for prototypes, and Bailment Agreements. Successful prototype OTAs may lead to follow-on production contracts without further competition. | N/A | Emil Rofors Oluwamayowa Amusat Alexander Sim Claire Tomlin Alp Sipahigil Shreyas Cholia Nicola Falco Erhan Saglamyurek Anand Krishnan Prakash Danielle Svehla Christianson Alexandre Moreira da Silva Neel Rajeshbhai Vora Sufi Kaur Sy-Toan Ngo Alex Newkirk John Wu Andre Santos Shawn Tornga Talita Perciano Costa Leite David Blum Sarah Poon Steven Hofmeyr Alexandre Bayen Drew Paine Sean Peisert Arpit Gupta Inder Monga Meriam Gay Bautista-Jurney Gregory Lemieux Wei Liu Zhao Hao Edward Bethel Jessica Granderson Gazi Mahmud Stijn (Stan) Wielandt Hannah Cohoon Douglas Black Anna Giannakou Bruce Mah Sunhee Baik Abdelilah Essiari Marco Pritoni Donghun Kim Boubacar Kante Samuel Williams | Battlespace Connectivity | Battlespace Command and Control (C2) | Robotics and Autonomous Systems | Non-Kinetic Effects | Decision Advantage |
| Aviation and Missile R&D BAA |
U.S. Army/AATD |
Presolicitation |
This five-year Broad Agency Announcement (BAA) from the U.S. Army DEVCOM Aviation & Missile Center's Technology Development Directorate (TDD) solicits research and development proposals to advance avi... |
2027-07-03T14:30:00 ET |
Missile Guidance & ControlAir Defense Sensor SystemsRotorcraft Drive SystemsAI / Machine Learning PrognosticsTopological Optimization DesignAdditive & Advanced ManufacturingAdvanced Engine MaterialsCompressor & Turbine AerodynamicsAdvanced Combustion SystemsHigh-Temperature Turbine MaterialsHybrid-Electric Propulsion SystemsVTOL / STOL Aircraft DesignComputational AeromechanicsIntelligent Teaming & Autonomy |
Advanced Rotorcraft Propulsion and Drive SystemsHybrid-Electric VTOL/STOL Aircraft Systems AnalysisCore Aviation and Missile Subsystem Technologies |
BSACSAESAETALDPSA |
AI Summary | Collaboration Graph |
Aviation and Missile R&D BAA | U.S. Army/AATD | W911W625R0006 | BSA, CSA, ESA, ETA, LD, PSA | Missile Guidance & Control | Air Defense Sensor Systems | Rotorcraft Drive Systems | AI / Machine Learning Prognostics | Topological Optimization Design | Additive & Advanced Manufacturing | Advanced Engine Materials | Compressor & Turbine Aerodynamics | Advanced Combustion Systems | High-Temperature Turbine Materials | Hybrid-Electric Propulsion Systems | VTOL / STOL Aircraft Design | Computational Aeromechanics | Intelligent Teaming & Autonomy | This five-year Broad Agency Announcement (BAA) from the U.S. Army DEVCOM Aviation & Missile Center's Technology Development Directorate (TDD) solicits research and development proposals to advance aviation and missile technologies. It covers basic and applied research across a wide spectrum of technical areas including, but not limited to, autonomy, avionics, propulsion, structures, aeromechanics, missile guidance, and sensors. The BAA operates via a one-step process (full proposal in response to a 'Call') or a two-step process (concept paper then invited proposal for topics in 'Attachment 5'). Two active topics are detailed: 1) 'Supplemental Power, Efficient Engines, and Drives (SPEED),' which focuses on rotorcraft engine and drive system technologies (TRL 3-5) targeting improvements in power density, efficiency, and component life through areas like additive manufacturing, AI prognostics, advanced materials, and improved aerodynamics. 2) 'Hybrid VTOL to Enable Operational Capabilities,' which seeks data and insights on hybrid VTOL/STOL unmanned aircraft (Group 4/5) to assess feasibility, operational impact, and cost for Army missions. Awards may be contracts, grants, cooperative agreements, or Other Transactions. Prime contractors must be U.S. firms, and fundamental research proposals are subject to an Army Research Risk Assessment Program (ARRP) review to mitigate undue foreign influence. | DEVON WOLFE | Emil Rofors Minok Park Amartya Banerjee Alexander Sim Rohan Adwankar Bin Wang Marco Pritoni Peng Peng Alexandre Moreira da Silva Matthew Zahr Juan Pablo Carvallo Guoying Chen Nihar Shah Shawn Tornga David Blum Vi Rapp Alexandre Bayen Zhe Bai Peter Tennessen Scott Moura Evan Johnson Naïm Darghouth Hannah Parrilla Ravi Prasher Boxun Hu Eric Masanet Daryl Chrzan Scott Mccormack Xiong Peng Qin Yu Donghun Kim Hanna Breunig | Advanced Rotorcraft Propulsion and Drive Systems | Hybrid-Electric VTOL/STOL Aircraft Systems Analysis | Core Aviation and Missile Subsystem Technologies |
| Long Range Broad Agency Announcement (BAA) for NSWC Crane |
Naval Sea Systems Command/NSWC Crane |
Special Notice |
The Naval Surface Warfare Center Crane Division (NSWC Crane) has issued a long-range Broad Agency Announcement (BAA), N0016424SNB35, seeking revolutionary research ideas and technology demonstrators t... |
2027-02-01T17:00:00 ET |
Electronic Warfare SystemsHypersonic Weapon SystemsAdvanced MicroelectronicsPower and Energy SystemsElectro-Optic/Infrared (EO/IR) TechnologiesSensors and Surveillance SystemsModeling and Simulation (M&S)Artificial Intelligence / Machine LearningUnmanned & Counter-Unmanned SystemsDigital Signal ProcessingStrategic Systems HardwareRF & Photonics EngineeringMaterials for Extreme EnvironmentsGuidance, Navigation, and Control |
Electronic and Electromagnetic WarfareAdvanced Electronics, Sensors, and SurveillanceStrategic and Hypersonic Weapon SystemsExpeditionary Warfare and Power Systems |
CSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Long Range Broad Agency Announcement (BAA) for NSWC Crane | Naval Sea Systems Command/NSWC Crane | N0016424SNB35 | CSA, EESA, ESA, ETA, LD, PSA | Electronic Warfare Systems | Hypersonic Weapon Systems | Advanced Microelectronics | Power and Energy Systems | Electro-Optic/Infrared (EO/IR) Technologies | Sensors and Surveillance Systems | Modeling and Simulation (M&S) | Artificial Intelligence / Machine Learning | Unmanned & Counter-Unmanned Systems | Digital Signal Processing | Strategic Systems Hardware | RF & Photonics Engineering | Materials for Extreme Environments | Guidance, Navigation, and Control | The Naval Surface Warfare Center Crane Division (NSWC Crane) has issued a long-range Broad Agency Announcement (BAA), N0016424SNB35, seeking revolutionary research ideas and technology demonstrators to advance its primary mission areas. Abstracts and proposals are accepted on a rolling basis. The BAA is focused on ten technical capabilities (TCs): Electronic Warfare (EW), Infrared and Pyrotechnic Countermeasures, Strategic Systems Hardware, Expeditionary Warfare and Systems, Advanced Electronics, Sensors and Surveillance Systems, Hypersonic Weapon Systems, Power and Energy Systems, Electro-optic and Infrared Technologies, and Force-level EW Mission Analysis. The announcement anticipates multiple awards through various instruments, including contracts, grants, cooperative agreements, and other transactions, using RDT&E funding types 6.1, 6.2, 6.3, and 6.4. The overall goal is to harness innovative technology for the warfighter in areas not covered by other specific solicitations. | Maria Duran | Emil Rofors Alexander Sim Claire Tomlin Alp Sipahigil Reynold Cooper Bin Wang Vassilia Zorba Jeremy Munday Douglas Kushner Milica Grahovac Guoying Chen Alex Newkirk John Wu Edoardo Zoni Andre Santos Lane Martin Shawn Tornga Talita Perciano Costa Leite Patrick Huck Alexandre Bayen Sumanjeet Kaur Muhammad Ihsan Ul Haq Zhe Bai Peter Hosemann Bruce Nordman Rangachary Mukundan Bryan Mccloskey Nicolas Abgrall Qiang Du Hannah Parrilla Zhao Hao Boxun Hu Edward Bethel Jayson Vavrek Hasita Veluri Andrew Haddad Stijn (Stan) Wielandt Georgios Michelogiannakis Bethany Goldblum Nikit Abhyankar | Electronic and Electromagnetic Warfare | Advanced Electronics, Sensors, and Surveillance | Strategic and Hypersonic Weapon Systems | Expeditionary Warfare and Power Systems |
| DLA Research and Development; Acquisition Modernization Technology Research (AMTR) SP4701-23-B-0001 |
DLA/R&D |
Combined Synopsis/Solicitation |
The Defense Logistics Agency (DLA) seeks research and development proposals via this Broad Agency Announcement (BAA) for its Acquisition Modernization Technology Research (AMTR) program. The goal is t... |
2028-05-29T23:59:00 ET |
Artificial Intelligence (AI)Machine Learning (ML)Robotic Process Automation (RPA)Blockchain TechnologyDigital EngineeringEnterprise IT ModernizationPredictive Data AnalyticsProcurement Forecast AccuracySupply Chain SecuritySupply Chain Risk AnalysisFraud Detection TechnologyeCommerce SolutionsMarket Intelligence SystemsAI-Assisted LearningData-Driven Decision Tools |
IT Modernization and Emerging Technology IntegrationData Analytics and Market IntelligenceAgile Supply Chain and Industry EngagementInnovative Acquisition ProcessesKnowledge-Driven Workforce Development |
BSACSAETALD |
AI Summary | Collaboration Graph |
DLA Research and Development; Acquisition Modernization Technology Research (AMTR) SP4701-23-B-0001 | DLA/R&D | SP4701-23-B-0001 | BSA, CSA, ETA, LD | Artificial Intelligence (AI) | Machine Learning (ML) | Robotic Process Automation (RPA) | Blockchain Technology | Digital Engineering | Enterprise IT Modernization | Predictive Data Analytics | Procurement Forecast Accuracy | Supply Chain Security | Supply Chain Risk Analysis | Fraud Detection Technology | eCommerce Solutions | Market Intelligence Systems | AI-Assisted Learning | Data-Driven Decision Tools | The Defense Logistics Agency (DLA) seeks research and development proposals via this Broad Agency Announcement (BAA) for its Acquisition Modernization Technology Research (AMTR) program. The goal is to modernize DLA's acquisition and supply chain processes using information technology. This five-year BAA, with a planned investment of up to $25 million annually, aims to award multiple cost-type Indefinite Delivery, Indefinite Quantity (IDIQ) contracts. Key strategic focus areas include enterprise IT modernization, data management and analytics, secure supply chain technologies, market intelligence, and applying emerging technologies like AI/ML, RPA, and blockchain. The BAA features a two-phase submission process: an initial 180-day window for full proposals to be considered for an IDIQ award, followed by a re-opening where vendors can submit shorter White Papers for potential project-specific contracts. An amendment has redirected all proposal and White Paper submissions from the PIEE system to specific email addresses. | Nicholas.Rossi@dla.mil | Alexander Sim Natalie Popovich Han Li Rohan Adwankar Nihan Karali Ana Comesana Anand Krishnan Prakash Alexandre Moreira da Silva Sy-Toan Ngo Alex Newkirk John Wu Michael Mahoney Meenakshi Venkatraman Talita Perciano Costa Leite Margaret Taylor Adam Rupe Nica Campbell Yuting Chen Susan Shaheen Zachary Needell Unique Karki Drew Paine Julie Mulvaney Kemp C. Anna Spurlock Tianzhen Hong Laleh Cote' Jean Luca Bez Satyarth Praveen Gregory Lemieux Edward Bethel Gazi Mahmud Thomas Hendrickson Jennifer Stokes-Draut Anna Giannakou Ling Jin Sunhee Baik Marco Pritoni Oluwamayowa Amusat | IT Modernization and Emerging Technology Integration | Data Analytics and Market Intelligence | Agile Supply Chain and Industry Engagement | Innovative Acquisition Processes | Knowledge-Driven Workforce Development |
| AWGER: ADAPTIVE WAVEFORM GENERATION FOR EXTREME RF |
AFRL/Information Directorate |
Presolicitation |
The Air Force Research Laboratory (AFRL) is soliciting research for the 'Adaptive Waveform Generation for Extreme RF' (AWGER) program (BAA FA8750-22-S-7006). This initiative seeks to develop technolog... |
2027-09-30T17:00:00 ET |
Cognitive Waveform GenerationMachine Learning TechniquesDigital Signal ProcessingRF Environment SimulationPhysical (PHY) Layer SimulationWaveform EvaluationAdversarial Attack ResiliencyNetwork Control and AnalysisNetwork Throughput AnalysisPHY Layer Network CoordinationNetwork Layer SimulationUnified Scenario EvaluationOver-the-Air DemonstrationSystem Integration & Test |
Cognitive Waveform GenerationNetwork Control and AnalysisUnified Simulation and Demonstration Environment |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
AWGER: ADAPTIVE WAVEFORM GENERATION FOR EXTREME RF | AFRL/Information Directorate | FA8750-22-S-7006 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Cognitive Waveform Generation | Machine Learning Techniques | Digital Signal Processing | RF Environment Simulation | Physical (PHY) Layer Simulation | Waveform Evaluation | Adversarial Attack Resiliency | Network Control and Analysis | Network Throughput Analysis | PHY Layer Network Coordination | Network Layer Simulation | Unified Scenario Evaluation | Over-the-Air Demonstration | System Integration & Test | The Air Force Research Laboratory (AFRL) is soliciting research for the 'Adaptive Waveform Generation for Extreme RF' (AWGER) program (BAA FA8750-22-S-7006). This initiative seeks to develop technologies for cognitive waveform generation, network control, and analysis within a unified evaluation environment. Key technical areas include using machine learning to build and adapt waveforms in response to dynamic radio frequency (RF) environments, managing network throughput, coordinating physical layer changes between nodes, and ensuring resiliency against adversarial attacks. The program aims to culminate in an integrated, over-the-air demonstration combining virtual and physical nodes. The total estimated funding is approximately $49.9M through FY27, with individual awards typically ranging from $300K to $3M over 36 months. This is a two-step BAA, requiring white papers as initial submissions. | Gerard Wohlrab | Alexander Sim Xiaoya Chong Anand Krishnan Prakash Alexandre Moreira da Silva Neel Rajeshbhai Vora John Wu Michael Wetter Edward Nichols Prabal Dutta Shawn Tornga David Blum Alexandre Bayen Angelos Ioannou Zhe Bai Zachary Needell Han Lee Dan Bonachea Satyarth Praveen Arpit Gupta Gregory Lemieux Marcos Lopez de Prado Inder Monga Cynthia Regnier Yilun Xu Vinay Sawal Jessica Granderson Gazi Mahmud Stijn (Stan) Wielandt Douglas Black Bruce Mah Georgios Michelogiannakis Oluwamayowa Amusat Daniel Arnold | Cognitive Waveform Generation | Network Control and Analysis | Unified Simulation and Demonstration Environment |
| Signals Intelligence Focused Technologies for Exploitation and Reporting (SIFTER) |
AFRL/Information Directorate |
Presolicitation |
The Department of the Air Force, through the Air Force Research Laboratory (AFRL) Information Directorate, has issued an Advanced Research Announcement (ARA) titled 'Signals Intelligence Focused Techn... |
2029-09-28T15:00:00 ET |
Signal Processing AlgorithmsSignal Information ExploitationHigh-Speed Signal DetectionOnboard ISR ProcessingCross-Domain Data AnalyticsOpen System Architecture (OSA)Electronic Intelligence (ELINT)Radar Signal GeolocationSIGINT AnalyticsPattern-of-Life AnalyticsAutonomous SIGINT ProcessingResilient System ArchitecturesCyber-SIGINT IntegrationMIMO Threat Analysis |
Key Research Areas |
BSACSAEESAETALDPSA |
AI Summary | Collaboration Graph |
Signals Intelligence Focused Technologies for Exploitation and Reporting (SIFTER) | AFRL/Information Directorate | FA875024S7007 | BSA, CSA, EESA, ETA, LD, PSA | Signal Processing Algorithms | Signal Information Exploitation | High-Speed Signal Detection | Onboard ISR Processing | Cross-Domain Data Analytics | Open System Architecture (OSA) | Electronic Intelligence (ELINT) | Radar Signal Geolocation | SIGINT Analytics | Pattern-of-Life Analytics | Autonomous SIGINT Processing | Resilient System Architectures | Cyber-SIGINT Integration | MIMO Threat Analysis | The Department of the Air Force, through the Air Force Research Laboratory (AFRL) Information Directorate, has issued an Advanced Research Announcement (ARA) titled 'Signals Intelligence Focused Technologies for Exploitation and Reporting (SIFTER)' (FA8750-24-S-7007). The program, with a total estimated funding of $99.9 million through September 2029, seeks innovative research to enhance the exploitation, dissemination, and analytics of signals from adversarial systems. Key technology areas of interest include: Electronic Intelligence (ELINT), SIGINT analytics, autonomous processing, resilient exploitation in contested environments, and Cyber-SIGINT cross-domain collaboration. The effort emphasizes onboard processing for ISR platforms, high-speed signal detection, multi-sensor data analytics, and compliance with Open System Architecture (OSA). This is an open, two-step announcement, accepting white papers initially, with formal proposals by invitation only. Individual awards are anticipated to range from $1 million to $5 million over periods up to 60 months. | David Rose | Emil Rofors Alexander Sim Bruce Nordman Jason Lowe-Power John Wu Gazi Mahmud Josh North Tiffany Connors Stijn (Stan) Wielandt Sean Peisert Alex Newkirk Andre Santos Carl Grace Shawn Tornga Alexandre Bayen Yuankun Xu Edward Bethel | Key Research Areas |
| SIGNALS INTELLIGENCE (SIGINT) SOLUTIONS FOR EVOLVING SCENARIOS (SESS) |
AFRL/RIGC |
Presolicitation |
The Department of the Air Force, through the Air Force Research Laboratory (AFRL) in Rome, NY, has issued a Broad Agency Announcement (BAA FA8750-23-S-7005) titled 'Signals Intelligence (SIGINT) Solut... |
2028-09-25T14:00:00 ET |
Signals Intelligence (SIGINT) ProcessingReal-Time Data ProcessingSignal Geolocation TechniquesCyber Intelligence OperationsInformation Extraction from RFNetwork Intelligence AnalysisSensor Data CollectionMulti-Platform Intelligence FusionAdvanced Digital Signal Processing (DSP)Signal Identification & CharacterizationNoise and Interference MitigationAutomated Signal ExploitationCognitive & Software-Defined Radio AnalysisOpen Architecture SystemsLow Power Signal Detection |
Information Extraction and AnalysisAdvanced Signal ProcessingAutomated SIGINT Systems and Architectures |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
SIGNALS INTELLIGENCE (SIGINT) SOLUTIONS FOR EVOLVING SCENARIOS (SESS) | AFRL/RIGC | FA875023S7005 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Signals Intelligence (SIGINT) Processing | Real-Time Data Processing | Signal Geolocation Techniques | Cyber Intelligence Operations | Information Extraction from RF | Network Intelligence Analysis | Sensor Data Collection | Multi-Platform Intelligence Fusion | Advanced Digital Signal Processing (DSP) | Signal Identification & Characterization | Noise and Interference Mitigation | Automated Signal Exploitation | Cognitive & Software-Defined Radio Analysis | Open Architecture Systems | Low Power Signal Detection | The Department of the Air Force, through the Air Force Research Laboratory (AFRL) in Rome, NY, has issued a Broad Agency Announcement (BAA FA8750-23-S-7005) titled 'Signals Intelligence (SIGINT) Solutions for Evolving Scenarios (SESS)'. The program seeks innovative research and development of emerging Cyber and SIGINT real-time processing solutions to enhance tactical information collection, geolocation, extraction, analysis, and reporting for the Intelligence Community. The primary goals are to provide situational awareness, enable network-centric data processing, and develop tools for warfighters to achieve battlespace dominance. The BAA is open until September 25, 2028, with a total estimated funding of $99.9M. The process is a two-step submission, starting with a white paper, followed by an invitation-only formal proposal. Individual awards are expected to range from $0.25M to $15M over periods of up to 36 months, with various award instruments like contracts, grants, or Other Transactions (OTs). The opportunity is generally closed to foreign participation, with certain exceptions. | Todd Howlett | Emil Rofors Marco Salathe Alexander Sim Alp Sipahigil Xiaoya Chong Nicola Falco Anand Krishnan Prakash Stephen Holland Cory Snavely Sy-Toan Ngo John Wu Tiffany Connors Andre Santos Prabal Dutta Shawn Tornga Alexandre Bayen Zhe Bai Holger Mueller Sean Peisert Mark Bandstra Qiang Du Marcos Lopez de Prado Yilun Xu Edward Bethel Houjun Tang Hasita Veluri Gazi Mahmud Stijn (Stan) Wielandt Victor Negut Oluwamayowa Amusat | Information Extraction and Analysis | Advanced Signal Processing | Automated SIGINT Systems and Architectures |
| ADAPTIVE FUSION, & REASONING OF MULTI-SOURCE DATA (AFAR) |
AFRL/Information Directorate |
Presolicitation |
The U.S. Air Force Research Laboratory (AFRL) Information Directorate is seeking innovative approaches for the fusion, analysis, and reasoning of multi-source data through the Adaptive Fusion, Analysi... |
2028-08-29T23:59:00 ET |
Multi-Source Data FusionKnowledge Graph GenerationAutomated Intelligence ExtractionSpatio-Temporal AnalysisAI / Machine LearningRecommender SystemsAutonomous Sensor OrchestrationTarget Tracking & CustodyReinforcement LearningPublic Information (PAI) AnalysisInformation Veracity AnalysisMulti-Modal Data FusionAgentic AI WorkflowsModeling and Simulation |
Adaptive Knowledge and Information for Target Analysis (AKITA)Enhancing Moving Target Engagement at Scale (EMoTES)Publicly Available Information (PAI) Ensemble Fusion (PEF)Agentic AI Workflows for Dynamic Operational Contexts (AWARD) |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
ADAPTIVE FUSION, & REASONING OF MULTI-SOURCE DATA (AFAR) | AFRL/Information Directorate | FA875023S7008 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Multi-Source Data Fusion | Knowledge Graph Generation | Automated Intelligence Extraction | Spatio-Temporal Analysis | AI / Machine Learning | Recommender Systems | Autonomous Sensor Orchestration | Target Tracking & Custody | Reinforcement Learning | Public Information (PAI) Analysis | Information Veracity Analysis | Multi-Modal Data Fusion | Agentic AI Workflows | Modeling and Simulation | The U.S. Air Force Research Laboratory (AFRL) Information Directorate is seeking innovative approaches for the fusion, analysis, and reasoning of multi-source data through the Adaptive Fusion, Analysis & Reasoning of multi-source data (AFAR) Broad Agency Announcement (BAA FA8750-23-S-7008). With a total estimated funding of $99.9 million, the program aims to advance analytical operations for Command, Control, Communications, Computers and Intelligence (C4I) and Cyber Science missions. The BAA is open until August 29, 2028, and follows a two-step process, starting with white papers. Key research areas include: (A) Adaptive Knowledge and Information for Target Analysis (AKITA) for automated knowledge graph generation; (B) Enhancing Moving Target Engagement at Scale (EMoTES) for high-value target nomination and sensor management; (C) Publicly Available Information (PAI) Ensemble Fusion (PEF) for veracity analysis and fusion of PAI with traditional intelligence; and (D) Agentic AI Workflows for Dynamic Operational Contexts (AWARD) to accelerate kill chains. Individual awards are anticipated to range from $500K to $3M over a period of up to 36 months, with various award instruments possible, including contracts, grants, and Other Transactions. | John Spina | Shreyas Cholia Marco Salathe Alexander Sim Xiaoya Chong Chris Mungall Eric Chagnon Ana Comesana Harry Caufield Anand Krishnan Prakash Alexandre Moreira da Silva Neel Rajeshbhai Vora Sufi Kaur Prabal Dutta Shawn Tornga Talita Perciano Costa Leite Alexandre Bayen Ana Kupresanin Zachary Needell Zhe Bai Aydin Buluc Drew Paine Haitam Laarabi Sean Peisert Rafael Zamora-Resendiz Satyarth Praveen Marcos Lopez de Prado Hasita Veluri Gazi Mahmud Josh North Victor Negut Anna Giannakou Charuleka Varadharajan Marco Pritoni Donghun Kim Oluwamayowa Amusat Samuel Williams | Adaptive Knowledge and Information for Target Analysis (AKITA) | Enhancing Moving Target Engagement at Scale (EMoTES) | Publicly Available Information (PAI) Ensemble Fusion (PEF) | Agentic AI Workflows for Dynamic Operational Contexts (AWARD) |
| Advanced Cyber Effects for Strategic Operations (ACESO) |
AFRL/RI |
Presolicitation |
The Department of the Air Force, via the Air Force Research Laboratory (AFRL), has released the Advanced Cyber Effects for Strategic Operations (ACESO) Advanced Research Announcement (ARA #FA8750-25-S... |
2030-07-10T18:00:00 ET |
Offensive Cyber OperationsDefensive Cyber OperationsCyber ISR OperationsZero Trust ArchitectureJADC2 System IntegrationMobile and Embedded SecurityICS / SCADA SecurityCyber Modeling and SimulationAI / ML for Cyber SecuritySIGINT / EW ConvergenceCyberspace Effects DevelopmentCyber Situational AwarenessSecure Software DevelopmentFormal Methods VerificationTrusted Hardware and Software |
Assured Zero-Trust Network ArchitecturesAll-Domain Command, Control & Situational AwarenessFull-Spectrum Cyber Effects and OperationsConverged ISR, EW, and Cyber Technologies |
BSACSAEESAETALD |
AI Summary | Collaboration Graph |
Advanced Cyber Effects for Strategic Operations (ACESO) | AFRL/RI | FA8750-25-S-7005 | BSA, CSA, EESA, ETA, LD | Offensive Cyber Operations | Defensive Cyber Operations | Cyber ISR Operations | Zero Trust Architecture | JADC2 System Integration | Mobile and Embedded Security | ICS / SCADA Security | Cyber Modeling and Simulation | AI / ML for Cyber Security | SIGINT / EW Convergence | Cyberspace Effects Development | Cyber Situational Awareness | Secure Software Development | Formal Methods Verification | Trusted Hardware and Software | The Department of the Air Force, via the Air Force Research Laboratory (AFRL), has released the Advanced Cyber Effects for Strategic Operations (ACESO) Advanced Research Announcement (ARA #FA8750-25-S-7005). This is a long-term, $950 million program open until July 10, 2030, aimed at researching, developing, and transitioning advanced Command, Control, Communications, Computers, and Intelligence (C4I) and cyber operations prototypes to ensure U.S. superiority in the cyber domain. The program utilizes a two-step process, starting with white paper submissions, with multiple awards anticipated ranging from $10M to $50M over 60 months, and potentially up to $99.98M. Key technical areas of interest include Cyber Assured and Zero-Trust Infrastructure, advanced Command and Control (JADC2), automated Situational Awareness and Mission Assurance (SA/MA), Offensive Cyber Operations (OCO), Cyber ISR, and the integration of Signals Intelligence (SIGINT), Electronic Warfare (EW), and cyber technologies. The ARA also seeks innovation in areas like AI/ML for cyber, cloud architectures, mobile/embedded security, and effects delivery (D4M) across various platforms including military systems, IoT, and industrial control systems. | Tanya Macrina | Alexander Sim Adam Slagell Nicola Falco Anand Krishnan Prakash Danielle Svehla Christianson Alexandre Moreira da Silva Sufi Kaur Ronal Kumar Jason Lowe-Power Alex Newkirk John Wu Tiffany Connors Shawn Tornga Steven Hofmeyr Alexandre Bayen Koushik Sen Angelos Ioannou Zachary Needell Zhe Bai Drew Paine David McCallen Sean Peisert Dan Bonachea Vinay Sawal Edward Bethel Jessica Granderson Zhi Jackie Yao Gazi Mahmud Stijn (Stan) Wielandt Hannah Cohoon Thomas Hendrickson Georgios Michelogiannakis Oluwamayowa Amusat Samuel Williams | Assured Zero-Trust Network Architectures | All-Domain Command, Control & Situational Awareness | Full-Spectrum Cyber Effects and Operations | Converged ISR, EW, and Cyber Technologies |
| ULTRA-BROADBAND TERAHERTZ RADIO DEVELOPMENT |
AFRL/RI |
Presolicitation |
The Department of the Air Force, through the Air Force Research Laboratory (AFRL) Rome Research Site, has issued Broad Agency Announcement (BAA) FA8750-23-S-7009 for the "Ultra-broadband Terahertz Rad... |
2028-09-19T17:00:00 ET |
Terahertz CommunicationsUltra-Broadband Radio DevelopmentFlexible Baseband Modem DesignHigh-Bandwidth RF SystemsTHz Antenna Array SubsystemsTerahertz BeamformingAntenna Pointing and TrackingAdaptive Radio CommunicationsAtmospheric Propagation AnalysisSecure Channelization TechniquesContested Spectrum OperationsTHz Component TechnologyCommunications System Integration |
THz Radio System Integration and DemonstrationAgile High-Frequency RF Front-EndAdaptive Baseband and Modem DesignPrecision Beamforming, Pointing, and Tracking |
CSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
ULTRA-BROADBAND TERAHERTZ RADIO DEVELOPMENT | AFRL/RI | FA875023S7009 | CSA, EESA, ESA, ETA, PSA | Terahertz Communications | Ultra-Broadband Radio Development | Flexible Baseband Modem Design | High-Bandwidth RF Systems | THz Antenna Array Subsystems | Terahertz Beamforming | Antenna Pointing and Tracking | Adaptive Radio Communications | Atmospheric Propagation Analysis | Secure Channelization Techniques | Contested Spectrum Operations | THz Component Technology | Communications System Integration | The Department of the Air Force, through the Air Force Research Laboratory (AFRL) Rome Research Site, has issued Broad Agency Announcement (BAA) FA8750-23-S-7009 for the "Ultra-broadband Terahertz Radio Development" program. This initiative seeks innovative research to develop and demonstrate an ultra-broadband radio operating above 100 GHz (specifically 100-300 GHz) for secure Air Force communications in contested spectrum environments. Key performance goals include a transmission range of 200m to 2km, data rates from 1 Mbps to 1 Gbps, and an instantaneous RF bandwidth of 5 GHz to 10 GHz. The BAA is an open, two-step process effective until September 19, 2028, requiring white paper submissions initially, with formal proposals by invitation only. The total estimated funding is $9.9 million, with multiple individual awards anticipated, typically ranging from $200K to $4M over 36 months. Award instruments may include contracts, grants, cooperative agreements, or Other Transactions (OTs). The program is generally closed to foreign participation. | Peter Ricci | Alp Sipahigil Matthias Sulzer Bin Wang Antoine Islegen-Wojdyla Ronald Cohen Dipak Ghosal Sayeef Salahuddin Jeremy Munday Alexandre Moreira da Silva Ran Cheng Najm Us Saqib Kaushalya Jhuria John Wu Andre Santos Junqiao Wu David Blum Dan Wang Angelos Ioannou Siyun Chen Peter Tennessen Qiang Du Meriam Gay Bautista-Jurney Wei Liu Zhao Hao Irfan Siddiqi Yilun Xu Edward Bethel Hasita Veluri Zhi Jackie Yao Stijn (Stan) Wielandt Bruce Mah Panagiotis Zarkos Danish Nawaz Abdelilah Essiari Boubacar Kante | THz Radio System Integration and Demonstration | Agile High-Frequency RF Front-End | Adaptive Baseband and Modem Design | Precision Beamforming, Pointing, and Tracking |
| Missile Defense Agency - Nimble Options for Buying Layered Effects (NOBLE) Announcement |
MDA |
Combined Synopsis/Solicitation |
The Missile Defense Agency's (MDA) Nimble Options for Buying Layered Effects (NOBLE) announcement (HQ0860-25-S-0001) is a five-year, overarching acquisition vehicle designed for the rapid prototyping ... |
2030-03-27T00:00:00 ET |
Kinetic & Hypersonic DefenseLow-Cost Interceptor ConceptsCommand & Control Battle ManagementArtificial Intelligence / Machine LearningQuantum ComputingIntegrated Non-Kinetic & Electronic WarfareDirected Energy SystemsSpace-Based Sensors & InterceptorsAdvanced Sensor AlgorithmsSatellite Communications & TT&CAdvanced Space PropulsionOn-Board Processing AlgorithmsRadiation Effects on Electronics (SEE)Cybersecurity for Defense SystemsDigital Engineering & Analytics |
Advanced Interceptors and EffectorsAI-Enhanced C2, Battle Management, and Decision SupportSpace-Based Sensing and Situational AwarenessNon-Kinetic and Electronic Warfare SystemsComponent and Systems Survivability |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Missile Defense Agency - Nimble Options for Buying Layered Effects (NOBLE) Announcement | MDA | HQ0860-25-S-0001 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Kinetic & Hypersonic Defense | Low-Cost Interceptor Concepts | Command & Control Battle Management | Artificial Intelligence / Machine Learning | Quantum Computing | Integrated Non-Kinetic & Electronic Warfare | Directed Energy Systems | Space-Based Sensors & Interceptors | Advanced Sensor Algorithms | Satellite Communications & TT&C | Advanced Space Propulsion | On-Board Processing Algorithms | Radiation Effects on Electronics (SEE) | Cybersecurity for Defense Systems | Digital Engineering & Analytics | The Missile Defense Agency's (MDA) Nimble Options for Buying Layered Effects (NOBLE) announcement (HQ0860-25-S-0001) is a five-year, overarching acquisition vehicle designed for the rapid prototyping and development of missile defense capabilities. It enables the MDA and other DoD entities to issue specific solicitations using flexible authorities such as Other Transaction Agreements (OTAs), Commercial Solutions Openings (CSOs), and Broad Agency Announcements (BAAs). The goal is to acquire disruptive technologies from non-traditional sources to enhance the integrated, layered Missile Defense System. Key technical areas of interest include: kinetic and hypersonic defense (e.g., low-cost interceptors), advanced Command and Control Battle Management (C2BM), integrated non-kinetic and electronic warfare, space-based sensors and interceptors, digital technologies like AI/ML, radiation effects on electronics, and international cooperation. No proposals should be submitted to this master announcement; offerors must respond to individual solicitations posted on SAM.gov. | MDA-NOBLE@mail.mil | Emil Rofors Marco Salathe Alexander Sim Alp Sipahigil Rohan Adwankar Reynold Cooper Bin Wang Mauricio Ayllon Unzueta Eric Esarey Alexandre Moreira da Silva Neel Rajeshbhai Vora Hao Ding Samuel Barber John Wu Louis-Benoit Desroches Tiffany Connors Andre Santos Shawn Tornga Talita Perciano Costa Leite Dan Wang Vi Rapp Alexandre Bayen Zachary Needell Peter Hosemann Siyun Chen Peter Tennessen Corneel Casert Nicholas Wenner Blake Simmons Thomas Schenkel Nicolas Abgrall Qiang Du Hannah Parrilla Gregory Lemieux Cameron Geddes Wei Liu Alexey Drobizhev Yilun Xu Vinay Sawal Edward Bethel Wahid Bhimji Jayson Vavrek Victor Negut Xianglei Mao Anthony Ciavarella | Advanced Interceptors and Effectors | AI-Enhanced C2, Battle Management, and Decision Support | Space-Based Sensing and Situational Awareness | Non-Kinetic and Electronic Warfare Systems | Component and Systems Survivability |
| Automated Processes for Knowledge Discovery and Information Retrieval |
AFRL/Information Directorate |
Presolicitation |
The Air Force Research Laboratory (AFRL) is soliciting white papers under Broad Agency Announcement (BAA) FA8750-24-S-7006 for the 'Automated Processes for Knowledge Discovery and Information Retrieva... |
2029-09-09T17:00:00 ET |
Multi-source Data FusionData Exploitation TechnologiesAutomated Data AnalysisKnowledge Discovery SystemsInformation Retrieval AutomationMulti-Domain Activity AnalysisCross-Source Data CorrelationPattern of Life AnalysisBehavioral Pattern LearningAnomaly Detection AlgorithmsPredictive AnalyticsContinuous Incremental LearningKnowledge Gap AnalysisHypothesis Generation Algorithms |
Multi-Source Data Fusion and CorrelationBehavioral Modeling and Anomaly DetectionPredictive Analytics and Event AnticipationAutomated Analysis and Adaptive Learning |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Automated Processes for Knowledge Discovery and Information Retrieval | AFRL/Information Directorate | FA875024S7006 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Multi-source Data Fusion | Data Exploitation Technologies | Automated Data Analysis | Knowledge Discovery Systems | Information Retrieval Automation | Multi-Domain Activity Analysis | Cross-Source Data Correlation | Pattern of Life Analysis | Behavioral Pattern Learning | Anomaly Detection Algorithms | Predictive Analytics | Continuous Incremental Learning | Knowledge Gap Analysis | Hypothesis Generation Algorithms | The Air Force Research Laboratory (AFRL) is soliciting white papers under Broad Agency Announcement (BAA) FA8750-24-S-7006 for the 'Automated Processes for Knowledge Discovery and Information Retrieval' program. With a total estimated funding of $99 million available through September 2029, this two-step BAA seeks innovative research to develop, test, and deliver technologies that process and exploit multi-source, multi-domain data (including classified, open source, and non-traditional sources). The primary objectives are to improve Battlespace Awareness, derive decision-quality information, and automate analysis and decision-making processes. Key technology interests include algorithms for learning normal patterns of behavior, detecting anomalies, anticipating future events, discovering knowledge gaps, and enabling continuous incremental learning to adapt to evolving situations across air, space, ground, maritime, and cyberspace domains. | Carolyn Sheaff | Shreyas Cholia Alexander Sim Wei Zhang Chris Mungall Xiaoya Chong Ana Comesana Neel Rajeshbhai Vora Michael Mahoney Stephanie Prince Shawn Tornga Alexandre Bayen Ana Kupresanin Yuting Chen Zhe Bai Drew Paine Shashank Subramanian Corneel Casert C. Anna Spurlock Haitam Laarabi Mark Bandstra Satyarth Praveen Marcos Lopez de Prado Houjun Tang Gazi Mahmud Josh North Thomas Hendrickson Victor Negut Anna Giannakou Jeetika Malik Charuleka Varadharajan Marco Pritoni Oluwamayowa Amusat | Multi-Source Data Fusion and Correlation | Behavioral Modeling and Anomaly Detection | Predictive Analytics and Event Anticipation | Automated Analysis and Adaptive Learning |
| Space Environment Technologies and Science (SETS) Broad Agency Announcement (BAA) |
AFRL/RVB |
Solicitation |
The Air Force Research Laboratory (AFRL) has issued the Space Environment Technologies and Science (SETS) Broad Agency Announcement (BAA) to support research in space and environmental impacts technol... |
2028-12-18T01:59:00 ET |
Space Environment ModelingIonospheric Prediction ModelsSolar & Heliospheric ModelingRF Signal Propagation EffectsNeutral Atmosphere ModelingSatellite Drag ForecastingPrecision Orbit DeterminationPlasma Physics & ChemistryRadiation Belt Environment ModelingCharged Particle EffectsSpacecraft Charging AnalysisWave-Particle Interaction PhysicsCislunar Environment ForecastingSpace Environment Sensor Development |
Solar, Ionospheric, and Heliospheric Modeling and ObservationAtmospheric Density and Satellite Orbital DynamicsFundamental Plasma Physics and Chemical InteractionsSpacecraft Particle and Radiation Environment EffectsCislunar and Near-Lunar Environment Characterization |
CSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Space Environment Technologies and Science (SETS) Broad Agency Announcement (BAA) | AFRL/RVB | FA9453-23-R-X001 | CSA, EESA, ESA, ETA, LD, PSA | Space Environment Modeling | Ionospheric Prediction Models | Solar & Heliospheric Modeling | RF Signal Propagation Effects | Neutral Atmosphere Modeling | Satellite Drag Forecasting | Precision Orbit Determination | Plasma Physics & Chemistry | Radiation Belt Environment Modeling | Charged Particle Effects | Spacecraft Charging Analysis | Wave-Particle Interaction Physics | Cislunar Environment Forecasting | Space Environment Sensor Development | The Air Force Research Laboratory (AFRL) has issued the Space Environment Technologies and Science (SETS) Broad Agency Announcement (BAA) to support research in space and environmental impacts technologies. The program aims to understand, specify, predict, and mitigate the effects of the space environment on Department of Defense and national security systems. This is a closed BAA with calls, meaning proposals should not be submitted to the base BAA but rather to specific calls as they are released. The five core technical areas of interest are: 1) Solar, Solar Wind, and Ionospheric Effects; 2) Thermosphere, Satellite Drag, and the Reentry Environment; 3) Plasma Physics and Chemistry; 4) Particle Effects and Radiation Belt Environment; and 5) Cislunar Environment. The program seeks to develop advanced models, sensors, and data products. Deliverables, which will be specified in each call, may include hardware, software, scientific reports, and prototypes. | lucas.reigelsperger@spaceforce.mil | Emil Rofors Travis O'Brien Sofia Hamilton Reynold Cooper Mauricio Ayllon Unzueta Vassilia Zorba Remi Lehe Spencer Klein William Riley Stephen Holland Edoardo Zoni Louis-Benoit Desroches Andre Santos Changchun Sun Shawn Tornga Andre Anders Zhe Bai William Boos Eleanor Zizka Thomas Schenkel Gregory Lemieux Alexey Drobizhev Cameron Geddes Boxun Hu Carlo Benedetti Noel Keen Stepan Bulanov Jayson Vavrek Simone Ferraro Jie Zhang Daniel Feldman David Romps Stijn (Stan) Wielandt Hannah Klion Chad Mitchell Arun Persaud Stephen Leone Stuart Bale Davide Terzani | Solar, Ionospheric, and Heliospheric Modeling and Observation | Atmospheric Density and Satellite Orbital Dynamics | Fundamental Plasma Physics and Chemical Interactions | Spacecraft Particle and Radiation Environment Effects | Cislunar and Near-Lunar Environment Characterization |
| COMPOSABLE COLLABORATIVE PLANNING |
AFRL/RISB |
Presolicitation |
The Department of the Air Force, Air Force Research Laboratory (AFRL), sought innovative research for a "Composable Collaborative Planning" system under BAA FA8750-21-S-7003. The primary goal was to o... |
N/A |
Composable Planning FrameworksCollaborative Planning SystemsParallel Processing AlgorithmsDependency & Conflict TrackingKnowledge Graph TechnologiesWorkflow & Process ModelingHuman-Machine Interface DesignInformation VisualizationComputational Planner ModelingSystem Interoperability & APIsData Consistency ManagementLogistics Planning SystemsSystem Performance Instrumentation |
Shared Context Management and Analysis (SCMA)Tailored Plan Presentation (TPP) |
BSACSAETA |
AI Summary | Collaboration Graph |
COMPOSABLE COLLABORATIVE PLANNING | AFRL/RISB | FA875021S7003 | BSA, CSA, ETA | Composable Planning Frameworks | Collaborative Planning Systems | Parallel Processing Algorithms | Dependency & Conflict Tracking | Knowledge Graph Technologies | Workflow & Process Modeling | Human-Machine Interface Design | Information Visualization | Computational Planner Modeling | System Interoperability & APIs | Data Consistency Management | Logistics Planning Systems | System Performance Instrumentation | The Department of the Air Force, Air Force Research Laboratory (AFRL), sought innovative research for a "Composable Collaborative Planning" system under BAA FA8750-21-S-7003. The primary goal was to overcome the time-intensive, serial nature of military Operation Plan (OPLAN) development and Force Flow Planning by creating a framework for parallel, collaborative planning, aiming for a tenfold reduction in planning time. The research was divided into two technical areas: 1) Shared Context Management and Analysis (SCMA), to develop a core framework for managing dependencies, resources, and planner roles via a unified model and interoperating with existing systems; and 2) Tailored Plan Presentation (TPP), to create role-aware, customizable user interfaces and visualizations that make complex planning data understandable across specialized teams. The BAA had an estimated funding of $24.5M, with individual 24-month awards expected to range from $500,000 to $2,000,000. It was a two-step process requiring white papers before invited proposals. This BAA was officially cancelled and is no longer accepting submissions. | Aaron McVay | Shreyas Cholia Chris Mungall Harry Caufield Deborah Bard Karlo Berket Danielle Svehla Christianson Sufi Kaur Devarshi Ghoshal Scott Baden Sarah Poon Rajshree Deshmukh Drew Paine Cristian Poliziani Brandon Cook Dan Bonachea Stefan Lasiewski Annette Greiner George Robb III Gazi Mahmud Hannah Cohoon Anna Giannakou Marco Pritoni Cody O'Donnell | Shared Context Management and Analysis (SCMA) | Tailored Plan Presentation (TPP) |
| ADVANCED RESEARCH ANNOUNCEMENT (ARA) TITLE: CHARACTERIZATION AND ASSESSMENT FOR SPACE DOMAIN AWARENESS (SDA) |
AFRL/Information Directorate |
Presolicitation |
This Advanced Research Announcement (ARA FA8750-24-S-7005) from the Air Force Research Laboratory sought research to design, develop, and test technologies supporting Space Domain Awareness (SDA) and ... |
2029-07-12T17:00:00 ET |
Space Domain Awareness (SDA)Intelligent Sensor TaskingHigh-Performance ComputingAutomated Pattern LearningSpace Event Anomaly DetectionMulti-Source Data FusionSpace Object CharacterizationSatellite Modeling & SimulationSatellite Vulnerability AssessmentAstrodynamics Algorithm DevelopmentResident Space Object (RSO) TrackingOptical Detection TechniquesImage Processing AlgorithmsPredictive Data Analysis |
Automated Space Event Analysis and Anomaly DetectionMulti-Source Data Fusion and ExploitationSpace Object Modeling, Identification, and TrackingAdvanced Astrodynamics and Computational Methods |
BSACSAEESAETALDPSA |
AI Summary | Collaboration Graph |
ADVANCED RESEARCH ANNOUNCEMENT (ARA) TITLE: CHARACTERIZATION AND ASSESSMENT FOR SPACE DOMAIN AWARENESS (SDA) | AFRL/Information Directorate | FA875024S7005 | BSA, CSA, EESA, ETA, LD, PSA | Space Domain Awareness (SDA) | Intelligent Sensor Tasking | High-Performance Computing | Automated Pattern Learning | Space Event Anomaly Detection | Multi-Source Data Fusion | Space Object Characterization | Satellite Modeling & Simulation | Satellite Vulnerability Assessment | Astrodynamics Algorithm Development | Resident Space Object (RSO) Tracking | Optical Detection Techniques | Image Processing Algorithms | Predictive Data Analysis | This Advanced Research Announcement (ARA FA8750-24-S-7005) from the Air Force Research Laboratory sought research to design, develop, and test technologies supporting Space Domain Awareness (SDA) and Space Superiority. Key technical areas included intelligent tasking, multi-source data fusion (from radar, optical, SIGINT, OSINT), high-performance computational analysis, automated pattern/anomaly detection, satellite modeling, and astrodynamics algorithm development to create an integrated, predictive SDA capability. The total estimated funding was approximately $99M, with multiple awards anticipated as contracts or Other Transactions. IMPORTANT: According to an amendment, this ARA has been cancelled and is no longer accepting submissions. | Carolyn Sheaff | Emil Rofors Marco Salathe Alexander Sim Lisa Claus Sofia Hamilton Wei Zhang Andrew Myers Ana Comesana Nicola Falco Igor Jovanovic Louis-Benoit Desroches Michael Mahoney Andre Santos Shawn Tornga Ana Kupresanin Zhe Bai Mark Bandstra Jean Luca Bez Satyarth Praveen Marcos Lopez de Prado Edward Bethel Wahid Bhimji Houjun Tang Ann Almgren Reijo Keskitalo Gazi Mahmud Boris Faybishenko Hannah Klion Chad Mitchell Anna Giannakou Edward Schlafly Marco Pritoni Oluwamayowa Amusat Samuel Williams | Automated Space Event Analysis and Anomaly Detection | Multi-Source Data Fusion and Exploitation | Space Object Modeling, Identification, and Tracking | Advanced Astrodynamics and Computational Methods |
| NEEDIPEDIA - COMMERCIAL SOLUTIONS OPENING - CSO |
DIA |
Solicitation |
The Defense Intelligence Agency (DIA) has released a Commercial Solutions Opening (CSO), HHM402-23-SC-0002, for its NeedipeDIA program, which is open from December 2023 to December 2028. This solicita... |
2028-12-28T17:00:00 ET |
AI / Machine LearningCounterintelligence TechnologiesIntelligence Collection SystemsAdvanced Science & TechnologyIntelligence Analysis ToolsInformation & Data ScienceData Management & RepositoriesCybersecurity & Information AssuranceSoftware Development & EngineeringCommercial Technology MaturationSecure Mobile CommunicationsHuman Subjects Research MethodsMilitary Systems Development |
Key Research Areas |
BSACSAETALDPSA |
AI Summary | Collaboration Graph |
NEEDIPEDIA - COMMERCIAL SOLUTIONS OPENING - CSO | DIA | HHM402-23-SC-0002 | BSA, CSA, ETA, LD, PSA | AI / Machine Learning | Counterintelligence Technologies | Intelligence Collection Systems | Advanced Science & Technology | Intelligence Analysis Tools | Information & Data Science | Data Management & Repositories | Cybersecurity & Information Assurance | Software Development & Engineering | Commercial Technology Maturation | Secure Mobile Communications | Human Subjects Research Methods | Military Systems Development | The Defense Intelligence Agency (DIA) has released a Commercial Solutions Opening (CSO), HHM402-23-SC-0002, for its NeedipeDIA program, which is open from December 2023 to December 2028. This solicitation seeks innovative commercial products and services to address DIA's mission-related capability gaps. The process utilizes a two-step submission: interested parties first submit a two-page white paper summarizing their solution, often formatted around the Heilmeier questions. If the white paper is favorably reviewed by government subject matter experts, the offeror may be invited to submit a full proposal. The CSO allows for the award of various instruments, including fixed-price contracts and Other Transactions (OTs), with an emphasis on rapid innovation and testing under the mantra "start small, scale fast or fail cheap." Evaluation criteria prioritize overall innovation, relevance to the DIA mission, and cost-effectiveness. Submissions are managed through the NeedipeDIA portal and are accepted on a rolling basis throughout the five-year open period. | Ideas2Action@dodiis.mil | Alexander Sim Wei Zhang Ana Comesana Dipak Ghosal Neel Rajeshbhai Vora Alex Newkirk Devarshi Ghoshal Tiffany Connors Shawn Tornga Talita Perciano Costa Leite Steven Hofmeyr Ana Kupresanin Drew Paine Laleh Cote' Gregory Lemieux Marcos Lopez de Prado Edward Bethel Eric Masanet Gazi Mahmud | Key Research Areas |
| 2024 Department of Homeland Security (DHS) Directorate of Science and Technology (S&T) Long Range Broad Agency Announcement (LRBAA) 24-01 |
DHS/S&T |
Special Notice |
The Department of Homeland Security (DHS) Science and Technology (S&T) Directorate's Long Range Broad Agency Announcement (LRBAA) 24-01 is a five-year funding opportunity, open until May 31, 2029, sol... |
2029-05-31T23:59:00 ET |
Machine Learning AlgorithmsAI Test & EvaluationSynthetic Data GenerationExplosives Performance CharacterizationCounter-Unmanned Aircraft SystemsAdvanced Screening TechnologiesCanine Olfaction ResearchCyber-Physical Systems SecurityHardware & Software Supply Chain AssuranceAdvanced CryptographyTrustworthy & Responsible AILarge-Scale Data AnalyticsDigital Twin DevelopmentPrivacy Enhancing Technologies |
Threat Detection and Characterization TechnologiesAdvanced Border and Transportation Security SystemsResilient Cyber and Supply Chain SecurityTrustworthy AI and Advanced Data Analytics |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
2024 Department of Homeland Security (DHS) Directorate of Science and Technology (S&T) Long Range Broad Agency Announcement (LRBAA) 24-01 | DHS/S&T | DHS_ST_LRBAA_24-01 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Machine Learning Algorithms | AI Test & Evaluation | Synthetic Data Generation | Explosives Performance Characterization | Counter-Unmanned Aircraft Systems | Advanced Screening Technologies | Canine Olfaction Research | Cyber-Physical Systems Security | Hardware & Software Supply Chain Assurance | Advanced Cryptography | Trustworthy & Responsible AI | Large-Scale Data Analytics | Digital Twin Development | Privacy Enhancing Technologies | The Department of Homeland Security (DHS) Science and Technology (S&T) Directorate's Long Range Broad Agency Announcement (LRBAA) 24-01 is a five-year funding opportunity, open until May 31, 2029, soliciting scientific and technical projects to improve DHS capabilities. The announcement details a three-step submission process: an initial Industry Engagement (abstract, quad chart, optional video), followed by an invitation-only Virtual Pitch, and a final invitation-only Written Proposal. The BAA seeks three types of R&D: Type I (near-term solutions for component needs), Type II (foundational science), and Type III (emerging threats). Key technical topic areas include Counter Terrorism (e.g., machine learning for threat detection, explosives characterization), Border Security (e.g., 'Screening at Speed,' Counter-UAS technology, detection canine R&D), and Cybersecurity (e.g., supply chain assurance, trustworthy AI, advanced data analytics). Awards may be structured as contracts, grants, cooperative agreements, or other transaction agreements (OTAs). | lrbaa.admin@hq.dhs.gov | Emil Rofors Marco Salathe Alexander Sim Claire Tomlin Xiaoya Chong Rohan Adwankar Anand Krishnan Prakash Neel Rajeshbhai Vora Alex Newkirk John Wu Andre Santos Tiffany Connors Zixi Hu Daniela Ushizima Shawn Tornga Talita Perciano Costa Leite Alexandre Bayen Zhe Bai Zachary Needell Shashank Subramanian Sean Peisert Cees De Laat Nicolas Abgrall Jean Luca Bez Hannah Parrilla Phillip Thomas Vinay Sawal Edward Bethel Jayson Vavrek Gazi Mahmud Boris Faybishenko Thomas Hendrickson Jennifer Stokes-Draut Hannah Cohoon Anna Giannakou Jeetika Malik Maciej Haranczyk Sunhee Baik Samuel Williams | Threat Detection and Characterization Technologies | Advanced Border and Transportation Security Systems | Resilient Cyber and Supply Chain Security | Trustworthy AI and Advanced Data Analytics |
| Government Requirement for Advanced Power and Energy (GRAPE) |
AFRL |
Presolicitation |
The Air Force Research Laboratory (AFRL) Energy Office is soliciting research and development proposals under the Government Requirement for Advanced Power and Energy (GRAPE) Advanced Research Announc... |
2027-12-31T15:00:00 ET |
Advanced Power GenerationEnergy Resilience TechnologiesEnergy Efficiency SolutionsLightweight Materials ScienceAerodynamic Drag ReductionPlatform Optimization SoftwareDigital EngineeringExpeditionary Energy SystemsInstallation Energy ManagementSpace Power SystemsEnergy Storage and ConversionWater Resource TechnologiesAutonomous System EnergyAdvanced Electrical Systems |
Operational Energy (Aviation)Expeditionary EnergyInstallation EnergySpace Power and EnergyAgile Combat Equipment |
ESAETALDPSA |
AI Summary | Collaboration Graph |
Government Requirement for Advanced Power and Energy (GRAPE) | AFRL | FA8650-18-S-5008 | ESA, ETA, LD, PSA | Advanced Power Generation | Energy Resilience Technologies | Energy Efficiency Solutions | Lightweight Materials Science | Aerodynamic Drag Reduction | Platform Optimization Software | Digital Engineering | Expeditionary Energy Systems | Installation Energy Management | Space Power Systems | Energy Storage and Conversion | Water Resource Technologies | Autonomous System Energy | Advanced Electrical Systems | The Air Force Research Laboratory (AFRL) Energy Office is soliciting research and development proposals under the Government Requirement for Advanced Power and Energy (GRAPE) Advanced Research Announcement (ARA), number FA8650-18-S-5008. This is an open, hybrid announcement seeking to identify, develop, and demonstrate critical technologies to decouple Department of Air Force (DAF) mission effectiveness from energy, water, and supply chain vulnerabilities. The program has a total estimated value of $197,840,000, with multiple anticipated awards ranging from $100,000 to $5,000,000. Key technology areas of interest include Operational Energy (Aviation), Expeditionary Energy, Installation Energy, Space Power and Energy, and Agile Combat Equipment. The ARA primarily utilizes a two-step process where interested parties first submit a white paper; if the white paper is favorably reviewed, a full proposal may be requested. The open call for white papers is effective until December 31, 2027. The government may also issue specific one-step or two-step 'CALLS' for proposals under this announcement. A variety of award instruments may be used, including contracts, Other Transactions (OTs), grants, and cooperative agreements. | charlotte.chumack@us.af.mil | Prakash Rao Matthias Sulzer Sarah Smith Shankar Earni Anand Krishnan Prakash Mauricio Ayllon Unzueta Marco Pritoni Peng Peng Alexandre Moreira da Silva Milica Grahovac Guoying Chen Alex Newkirk Heidi Fuchs Louis-Benoit Desroches Michael Wetter David Blum Alexandre Bayen Muhammad Ihsan Ul Haq Unique Karki Nicholas DeForest Chris Dames Miguel Heleno Peter Tennessen Eric O'Shaughnessy Naïm Darghouth Ravi Prasher Gregory Lemieux Boxun Hu Kameshwar Poolla Eric Masanet Mary Ann Piette Jing Ke Thomas Hendrickson Jennifer Stokes-Draut Douglas Black Abigayle Hodson Jeetika Malik Sunhee Baik Qin Yu | Operational Energy (Aviation) | Expeditionary Energy | Installation Energy | Space Power and Energy | Agile Combat Equipment |
| Mentor Protégé Program Broad Agency Announcement |
MDA |
Sources Sought |
The Missile Defense Agency (MDA) Mentor-Protégé Program Broad Agency Announcement (BAA HQ0858-25-S-0001) solicits proposals from large contractor 'mentor' firms to develop the capabilities of small bu... |
2028-08-30T17:00:00 ET |
Hypersonic Tracking SystemsSpace-Based Sensor SystemsQuantum ScienceAdvanced Radar SystemsCommand and Control (C2BMC)Battle Management SystemsGround-Based Midcourse Defense (GMD)Next Generation InterceptorsBallistic Missile Defense (BMD)Aegis Weapon SystemsHypersonic Defense InterceptorsTerminal High Altitude Area Defense (THAAD)System Engineering and DevelopmentSystem Service Life ExtensionMissile System Upgrades |
Key Research Areas |
CSAESALDPSA |
AI Summary | Collaboration Graph |
Mentor Protégé Program Broad Agency Announcement | MDA | HQ0858-25-S-0001 | CSA, ESA, LD, PSA | Hypersonic Tracking Systems | Space-Based Sensor Systems | Quantum Science | Advanced Radar Systems | Command and Control (C2BMC) | Battle Management Systems | Ground-Based Midcourse Defense (GMD) | Next Generation Interceptors | Ballistic Missile Defense (BMD) | Aegis Weapon Systems | Hypersonic Defense Interceptors | Terminal High Altitude Area Defense (THAAD) | System Engineering and Development | System Service Life Extension | Missile System Upgrades | The Missile Defense Agency (MDA) Mentor-Protégé Program Broad Agency Announcement (BAA HQ0858-25-S-0001) solicits proposals from large contractor 'mentor' firms to develop the capabilities of small business 'protégé' firms. Effective from August 30, 2025, to August 30, 2028, this BAA utilizes a two-step process, starting with the submission of a white paper. The program's goal is to enhance the protégé's ability to perform as a DoD subcontractor by providing assistance aligned with specific MDA focus areas, such as Hypersonic Ballistic Tracking Space System (HBTSS), Ground-Based Midcourse Defense (GMD), and Aegis systems. A minimum of 50% of the proposed cost must be for engineering and technical assistance. While MDA evaluates the white papers, awards are administered as cost-reimbursement sub-awards by a DoD intermediary, Move America, Inc. White papers are evaluated on a pass/fail basis for compliance, then on technical merit, importance to agency programs, and cost. Awards are anticipated to be between $500,000 and $750,000 per year for a period of one base year and two option years. | mda.schriever.ics.mbx.mpp@mail.mil | Alp Sipahigil Chiara Salemi Erhan Saglamyurek Ronald Cohen Deborah Bard Neel Rajeshbhai Vora Shawn Tornga Steven Hofmeyr Zachary Needell Thomas Schenkel Qiang Du Stefan Lasiewski Yuan Mei Alexey Drobizhev Wei Liu Eric Masanet Stijn (Stan) Wielandt Bethany Goldblum Eileen Dawson | Key Research Areas |
| ARTIFICIAL INTELLIGENCE AND NEXT GENERATION DISTRIBUTED COMMAND AND CONTROL |
Department of the Air Force/AFRL/Information Directorate |
Presolicitation |
This Broad Agency Announcement (BAA FA8750-23-S-7006) from the Air Force Research Laboratory (AFRL) seeks to accelerate research and development of novel Artificial Intelligence (AI) and distributed C... |
2028-08-30T16:00:00 ET |
AI Model Lifecycle ManagementAI Drift Detection and MitigationFederated Machine LearningAutonomous Mission PlanningGenerative AI for C4IAdvanced Wargaming AgentsInteractive Machine LearningDistributed C2 OrchestrationDecentralized Task AllocationTactical Edge AIDistributed Signal GeolocationAdversarial Decision ModelingComposable AI ArchitecturesReinforcement Learning Algorithms |
AI Operations and Lifecycle ManagementAdvanced AI for Decision Support and AdvantageResilient and Distributed Command & Control (C2) |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
ARTIFICIAL INTELLIGENCE AND NEXT GENERATION DISTRIBUTED COMMAND AND CONTROL | Department of the Air Force/AFRL/Information Directorate | FA875023S7006 | BSA, CSA, EESA, ESA, ETA, LD, PSA | AI Model Lifecycle Management | AI Drift Detection and Mitigation | Federated Machine Learning | Autonomous Mission Planning | Generative AI for C4I | Advanced Wargaming Agents | Interactive Machine Learning | Distributed C2 Orchestration | Decentralized Task Allocation | Tactical Edge AI | Distributed Signal Geolocation | Adversarial Decision Modeling | Composable AI Architectures | Reinforcement Learning Algorithms | This Broad Agency Announcement (BAA FA8750-23-S-7006) from the Air Force Research Laboratory (AFRL) seeks to accelerate research and development of novel Artificial Intelligence (AI) and distributed Command and Control (C2) capabilities to support the Department of the Air Force's Joint All Domain C2 (JADC2) objectives. With a total estimated funding of $99 million through FY28, the BAA is open until August 30, 2028, utilizing a two-step process where interested parties first submit a white paper and may be invited to submit a full proposal. Individual awards are expected to range from $200K to $20M over periods up to 48 months. The BAA outlines nine technical areas (TAs) of interest: (1) Command & Control of AI Systems for mission-tailored AI adaptation and deployment; (2) a Federated, Composable Autonomy & AI Toolbox for interoperability; (3) Advanced Wargaming Agents for reusable strategic simulation; (4) Interactive Learning for human-in-the-loop C4I problem solving; (5) C2 Complexity Dominance to impose complexity on adversaries; (6) Generative AI applications for C4I; (7) Software Defined Distributed C2 for orchestrating nodes in contested environments; (8) Tactical AI for distributed signal detection using the TAK ecosystem; and (9) Mission Planning for Autonomous Collaborative Platforms (ACPs) to enable autonomous re-tasking in denied environments. | andrew.porter.13@us.af.mil | Shreyas Cholia Alexander Sim Claire Tomlin Xiaoya Chong Anand Krishnan Prakash Kunxiaojia (Tammy) Yuan Danielle Svehla Christianson Neel Rajeshbhai Vora Sufi Kaur Tiffany Connors Prabal Dutta Shawn Tornga Talita Perciano Costa Leite Alexandre Bayen Ana Kupresanin Zhe Bai Suren Byna Aydin Buluc Haitam Laarabi Khaled Ibrahim Sean Peisert Cees De Laat Jean Luca Bez Dan Bonachea Marcos Lopez de Prado Vinay Sawal Sudip Dosanjh Houjun Tang Gazi Mahmud Hannah Cohoon Anna Giannakou Georgios Michelogiannakis Sunhee Baik Oluwamayowa Amusat Samuel Williams | AI Operations and Lifecycle Management | Advanced AI for Decision Support and Advantage | Resilient and Distributed Command & Control (C2) |
| Technologies for Forging |
DLA/R&D |
Combined Synopsis/Solicitation |
This Broad Agency Announcement (BAA), SP4701-25-B-0002, from the Defense Logistics Agency (DLA) seeks innovative Research and Development (R&D) proposals to address the forging industry's challenges. ... |
2030-08-12T23:59:00 ET |
Forging Process InnovationAdvanced Alloy DevelopmentDie Material ScienceDie and Part Repair MethodsAdvanced Coatings and LubricantsSmart Manufacturing SystemsIndustrial Sensor IntegrationRobotics and AutomationManufacturing Process OptimizationSupply Chain Analysis ToolsDigital Tooling DatabasesManufacturing Cybersecurity |
Forging Procurement and Supply Chain SolutionsAdvanced Forging Manufacturing Technologies and MaterialsForging Industry Workforce Development |
BSACSAEESAESAETALD |
AI Summary | Collaboration Graph |
Technologies for Forging | DLA/R&D | SP4701-25-B-0002 | BSA, CSA, EESA, ESA, ETA, LD | Forging Process Innovation | Advanced Alloy Development | Die Material Science | Die and Part Repair Methods | Advanced Coatings and Lubricants | Smart Manufacturing Systems | Industrial Sensor Integration | Robotics and Automation | Manufacturing Process Optimization | Supply Chain Analysis Tools | Digital Tooling Databases | Manufacturing Cybersecurity | This Broad Agency Announcement (BAA), SP4701-25-B-0002, from the Defense Logistics Agency (DLA) seeks innovative Research and Development (R&D) proposals to address the forging industry's challenges. The primary goals are to reduce DLA backorders for items containing forgings and to enhance the industry's quality, productivity, technology, and business practices. The BAA has a five-year ordering period with a ceiling of $50 million and anticipates awarding multiple cost-reimbursement type contracts. Key technical areas of interest include: 1) 'Procurement Solutions' focusing on proactive tools for acquisition, supply chain evaluation, and tooling data enhancement; and 2) 'Manufacturing Technologies' covering innovative processes, new materials (alloys, dies), Industry 4.0 applications (robotics, automation, sensors), and workforce development. The submission process involves a three-step approach: an initial 8-page White Paper, followed by an invitation-only submission of a detailed Technical Proposal (up to 40 pages) and a Cost Proposal. Proposals will be evaluated on four factors: Feasibility (technical merit), Viability (transition potential and DoD policy understanding), Desirability (end-user adoption), and Past Performance. | Latoya.Coney@dla.mil | Prakash Rao Minok Park Francesco Ricci Natalie Popovich Nihan Karali Shankar Earni Bin Wang Anand Krishnan Prakash Shiva Shunmugam Nagarajan Zixuan Li Patty Angus Marco Pritoni William Stringfellow Alexandre Moreira da Silva Kelly Kissock Alex Newkirk Margaret Taylor Kenny Higa Carolin Sutter-Fella Nica Campbell Sumanjeet Kaur Unique Karki Peter Hosemann Philip Mallon Eric O'Shaughnessy Laleh Cote' Mingwei Zhang Daryl Chrzan Mary Ann Piette Jing Ke Gazi Mahmud Thomas Hendrickson Qin Yu Oluwamayowa Amusat | Forging Procurement and Supply Chain Solutions | Advanced Forging Manufacturing Technologies and Materials | Forging Industry Workforce Development |
| FIGHT TONIGHT |
AFRL/Information Directorate |
Presolicitation |
The Air Force Research Laboratory (AFRL) is seeking innovative research and development for the 'Fight Tonight' program (FA8750-22-S-7001) to create a system that combines human-guided Artificial Inte... |
2026-11-30T16:00:00 ET |
Artificial Intelligence PlanningInteractive Gaming EnvironmentsHuman-AI Collaborative SystemsCourse of Action AnalysisAutomated Plan SynthesisIterative Plan RefinementCombat Simulation and ModelingAI Behavior ModelingPredictive Outcome AnalysisHuman-Centered Visual InterfacesScalable Data ArchitecturesReal-time Plan AnalyticsRapid Technology Prototyping |
Interactive Plan RefinementPlan Gaming and Outcome Analysis |
BSACSAETA |
AI Summary | Collaboration Graph |
FIGHT TONIGHT | AFRL/Information Directorate | FA875022S7001 | BSA, CSA, ETA | Artificial Intelligence Planning | Interactive Gaming Environments | Human-AI Collaborative Systems | Course of Action Analysis | Automated Plan Synthesis | Iterative Plan Refinement | Combat Simulation and Modeling | AI Behavior Modeling | Predictive Outcome Analysis | Human-Centered Visual Interfaces | Scalable Data Architectures | Real-time Plan Analytics | Rapid Technology Prototyping | The Air Force Research Laboratory (AFRL) is seeking innovative research and development for the 'Fight Tonight' program (FA8750-22-S-7001) to create a system that combines human-guided Artificial Intelligence (AI) with an interactive gaming environment to significantly reduce the air operations planning cycle to under four hours. The program aims to develop technology that allows planners to generate, explore, rehearse, and evaluate numerous combat plans against simulated adversaries. The BAA is structured into two main technical areas: TA1 (Interactive Plan Refinement), focusing on AI-driven plan generation and optimization, and TA2 (Plan Gaming and Outcome Analysis), which develops the interactive gaming interface, simulation, and analytical tools, while also serving as the system integrator. This amendment (No. 8) adds requirements for Phase II, announcing that the government is no longer accepting white papers for Phase I. Phase II will be a single award combining TA1 and TA2, solicited via a closed two-step process with white papers due December 16, 2024. The total program funding is approximately $99M, with the single Phase II award anticipated to be between $30M and $40M. | jeffrey.hudack@us.af.mil | Alexander Sim Stefan M. Wild Anand Krishnan Prakash Danielle Svehla Christianson Alexandre Moreira da Silva Juan Pablo Carvallo Alexandre Bayen Marta Gonzalez Drew Paine Julie Mulvaney Kemp Cristian Poliziani Peter Tennessen Haitam Laarabi Tianzhen Hong Cees De Laat Jean Luca Bez Chris Harris Edward Bethel Gazi Mahmud Hannah Cohoon Anna Giannakou Venkatesh Akella Sunhee Baik Marco Pritoni Oluwamayowa Amusat Cody O'Donnell | Interactive Plan Refinement | Plan Gaming and Outcome Analysis |
| AFWERX Challenge Commercial Solutions Opening (CSO) |
AFWERX |
Combined Synopsis/Solicitation |
The United States Air Force (USAF), via this AFWERX Challenge Commercial Solutions Opening (CSO), seeks innovative solutions for "Expedient Basing" to support the Agile Combat Employment (ACE) concept... |
2028-02-23T23:59:00 ET |
Mobile Power GenerationMicrogrid Energy DistributionWater and Waste Management SystemsAutonomous Construction and RepairAdvanced Construction MaterialsAI-driven Damage AssessmentMultispectral Concealment and DeceptionExpedient Asset HardeningRobotics for Hazard MitigationCounter-UAS and Directed EnergyDigital Twin for Asset ManagementSecure Mesh NetworkingAdvanced Surveillance SensorsAI and Edge Computing |
Expedient Base InfrastructureIntegrated Base Security, Response & Recovery |
BSACSAEESAETALDPSA |
AI Summary | Collaboration Graph |
AFWERX Challenge Commercial Solutions Opening (CSO) | AFWERX | FA2280-23-S-C001 | BSA, CSA, EESA, ETA, LD, PSA | Mobile Power Generation | Microgrid Energy Distribution | Water and Waste Management Systems | Autonomous Construction and Repair | Advanced Construction Materials | AI-driven Damage Assessment | Multispectral Concealment and Deception | Expedient Asset Hardening | Robotics for Hazard Mitigation | Counter-UAS and Directed Energy | Digital Twin for Asset Management | Secure Mesh Networking | Advanced Surveillance Sensors | AI and Edge Computing | The United States Air Force (USAF), via this AFWERX Challenge Commercial Solutions Opening (CSO), seeks innovative solutions for "Expedient Basing" to support the Agile Combat Employment (ACE) concept. The goal is to rapidly establish and sustain distributed military operations in austere environments, reducing setup times from months to days. The challenge is divided into two primary focus areas: 1) Base Infrastructure, which includes modular and scalable electrical systems (power generation, storage, microgrids), mechanical systems (HVAC, water, fuel), advanced construction methods (3D printing, autonomous equipment), camouflage/concealment, and environmental protection; and 2) Integrated Base Security, Response & Recovery, which covers explosive hazard mitigation, airfield damage repair (ADR), rapid damage assessment, and base defense technologies like counter-UAS and secure mesh networking. The solicitation follows a three-spiral process: an initial written submission (Spiral 1), an oral demonstration for selected participants (Spiral 2), and a full proposal request (Spiral 3). The ultimate objective is to identify, fund, and rapidly prototype viable commercial technologies for potential operational use by the Department of Defense. | N/A | Prakash Rao Emil Rofors Cindy Zhu Rohan Adwankar Anand Krishnan Prakash Dipak Ghosal Alex Newkirk Andre Santos Mamun Miah Shawn Tornga David Blum Unique Karki Suren Byna Franco Zunino Nicholas DeForest Samveg Saxena Weiping Huang Naïm Darghouth Mary Ann Piette Jennifer Stokes-Draut Victor Negut Douglas Black Abigayle Hodson Marco Pritoni Donghun Kim Oluwamayowa Amusat Daniel Arnold | Expedient Base Infrastructure | Integrated Base Security, Response & Recovery |
| Missile Defense Agency - Advanced Capability Concepts |
MDA |
Special Notice |
The Missile Defense Agency (MDA) Advanced Capability Concepts solicitation (HQ0860-25-S-C001) is a five-year open opportunity (May 9, 2025 – May 8, 2030) for industry, academia, and non-profits to sub... |
2030-05-08T17:00:00 ET |
Kinetic & Hypersonic DefenseInterceptor Systems DevelopmentCommand & Control Battle ManagementArtificial Intelligence / Machine LearningNon-Kinetic & Electronic WarfareDirected Energy SystemsCybersecurity & Resilient NetworkingSpace-Based Sensors & TrackingSatellite Constellation TechnologyOnboard Processing AlgorithmsAdvanced Data AnalyticsRadiation Effects AnalysisSpace Propulsion TechnologySensor Algorithm DevelopmentQuantum Computing Applications |
Hypersonic and Kinetic Defense SystemsAI-Driven C2, Battle Management, and Digital EngineeringSpace-Based Defense CapabilitiesIntegrated Non-Kinetic and Electronic WarfareSystem and Component Resiliency and Hardening |
BSACSAEESAETALDPSA |
AI Summary | Collaboration Graph |
Missile Defense Agency - Advanced Capability Concepts | MDA | HQ0860-25-S-C001 | BSA, CSA, EESA, ETA, LD, PSA | Kinetic & Hypersonic Defense | Interceptor Systems Development | Command & Control Battle Management | Artificial Intelligence / Machine Learning | Non-Kinetic & Electronic Warfare | Directed Energy Systems | Cybersecurity & Resilient Networking | Space-Based Sensors & Tracking | Satellite Constellation Technology | Onboard Processing Algorithms | Advanced Data Analytics | Radiation Effects Analysis | Space Propulsion Technology | Sensor Algorithm Development | Quantum Computing Applications | The Missile Defense Agency (MDA) Advanced Capability Concepts solicitation (HQ0860-25-S-C001) is a five-year open opportunity (May 9, 2025 – May 8, 2030) for industry, academia, and non-profits to submit white papers on innovative technologies to enhance the Missile Defense System. The process is two-step: submission and evaluation of a white paper, followed by a request for more information for selected proposals to negotiate an award, which can be a FAR-based contract or an Other Transaction (OT) agreement. Key technical areas of interest include Kinetic and Hypersonic Defense; Command and Control Battle Management; Integrated Non-Kinetic and Electronic Warfare; Disruptive Technologies like AI, directed energy, and cybersecurity; Space-based Sensors and Interceptors; Digital Revolution/AI/ML applications; and Radiation Effects on electronics. White papers will be evaluated on Technical Achievement, Research Capabilities, and Program Management, with Technical Achievement being weighted most heavily. | MDA-ACC-WP@mail.mil | Emil Rofors Marco Salathe Alexander Sim Rohan Adwankar Reynold Cooper Mauricio Ayllon Unzueta Eric Esarey Neel Rajeshbhai Vora Samuel Barber Guoying Chen Alex Newkirk John Wu Edoardo Zoni Louis-Benoit Desroches Tiffany Connors Andre Santos Shawn Tornga Talita Perciano Costa Leite Vi Rapp Amy Kronenberg Zhe Bai Azriel Goldschmidt Siyun Chen Peter Tennessen Corneel Casert Nicholas Wenner Blake Simmons Thomas Schenkel Nicolas Abgrall Qiang Du Hannah Parrilla Cameron Geddes Alexey Drobizhev Yilun Xu Edward Bethel Wahid Bhimji Jayson Vavrek Gazi Mahmud Xianglei Mao Anthony Ciavarella Aodhan McIlvenny Mario Cromaz | Hypersonic and Kinetic Defense Systems | AI-Driven C2, Battle Management, and Digital Engineering | Space-Based Defense Capabilities | Integrated Non-Kinetic and Electronic Warfare | System and Component Resiliency and Hardening |
| Multi-Domain Force Applications and Traffic Management for Unmanned Aircraft Systems (M-FAT) |
AFRL/Information Directorate |
Presolicitation |
The U.S. Air Force Research Laboratory (AFRL) is soliciting research proposals under the Multi-Domain Force Applications and Traffic Management for Unmanned Aircraft Systems (M-FAT) Broad Agency Annou... |
2030-08-04T15:00:00 ET |
Electronic Warfare & Cyber OperationsAI / Machine LearningC2 Automation and AutonomyMulti-Sensor Data FusionDecentralized Swarm OperationsAutonomous Interceptor SystemsUAS Traffic Management (UTM)Resilient Communications & NetworkingCommunication Systems M&SAdvanced Sensor TechnologiesWaveform Design & AnalysisAI-Driven Spectrum ManagementDetect and Avoid (DAA) SystemsHuman-Machine Teaming |
Integrated Electronic Warfare & Cyberspace OperationsAutonomous Command & Control (C2) for sUAS ThreatsAdvanced C-sUAS Sensor and Effector TechnologiesUAS Traffic Management (UTM) and Airspace IntegrationResilient and Intelligent Communications for sUAS |
CSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Multi-Domain Force Applications and Traffic Management for Unmanned Aircraft Systems (M-FAT) | AFRL/Information Directorate | FA8750-25-S-7004 | CSA, EESA, ESA, ETA, LD, PSA | Electronic Warfare & Cyber Operations | AI / Machine Learning | C2 Automation and Autonomy | Multi-Sensor Data Fusion | Decentralized Swarm Operations | Autonomous Interceptor Systems | UAS Traffic Management (UTM) | Resilient Communications & Networking | Communication Systems M&S | Advanced Sensor Technologies | Waveform Design & Analysis | AI-Driven Spectrum Management | Detect and Avoid (DAA) Systems | Human-Machine Teaming | The U.S. Air Force Research Laboratory (AFRL) is soliciting research proposals under the Multi-Domain Force Applications and Traffic Management for Unmanned Aircraft Systems (M-FAT) Broad Agency Announcement (BAA FA8750-25-S-7004). With approximately $499M in total funding available until August 2030, this BAA seeks to enhance Counter-small Unmanned Aerial System (C-sUAS) kill chain capabilities and advance UAS Traffic Management (UTM). Key technology areas of interest include the integration of Electronic Warfare (EW) and Cyberspace Operations (CO) to disrupt sUAS command links, automation of Command and Control (C2) using AI/ML to counter swarm attacks, development of low-collateral damage interceptors and effectors, improvement of multi-modal sensor technologies for detection and tracking, integration of UTM with existing air traffic control systems, and the creation of resilient communication waveforms and networking protocols for swarm operations. The solicitation is a two-step process, requiring a white paper for initial consideration before a formal proposal invitation. Individual awards are anticipated to range from $500K to $20M. | TRISTEN M. CARRIG | Emil Rofors Oluwamayowa Amusat Alexander Sim Claire Tomlin Alp Sipahigil Cindy Zhu Nicola Falco Ana Comesana Anand Krishnan Prakash Dipak Ghosal Kunxiaojia (Tammy) Yuan Alex Newkirk John Wu Andre Santos Tiffany Connors Edward Nichols Prabal Dutta Shawn Tornga Talita Perciano Costa Leite Alexandre Bayen Susan Shaheen Zhe Bai Zachary Needell David McCallen Peter Tennessen Nicholas Wenner Haitam Laarabi C. Anna Spurlock Sean Peisert Linqing Luo Nicolas Abgrall Arpit Gupta Marcos Lopez de Prado Zhao Hao Vinay Sawal Edward Bethel Stijn (Stan) Wielandt Jennifer Stokes-Draut Victor Negut Anna Giannakou Bruce Mah Jeetika Malik Sunhee Baik Marco Pritoni Boubacar Kante Samuel Williams | Integrated Electronic Warfare & Cyberspace Operations | Autonomous Command & Control (C2) for sUAS Threats | Advanced C-sUAS Sensor and Effector Technologies | UAS Traffic Management (UTM) and Airspace Integration | Resilient and Intelligent Communications for sUAS |
| ADVANCED RESEARCH ANNOUNCEMENT (ARA) TITLE: ADVANCED TRACKING ARCHITECTURE USING AI (ATA-AI) |
AFRL/RIED |
Presolicitation |
The Department of the Air Force, AFRL/Information Directorate, has issued an Advanced Research Announcement (ARA FA8750-24-S-7004) titled "ADVANCED TRACKING ARCHITECTURE USING AI (ATA-AI)". The progra... |
2029-07-12T17:00:00 ET |
Target Tracking ArchitecturesArtificial Intelligence / Machine LearningMachine Inferencing AlgorithmsHigh Performance Computing (HPC)Multi-Modal Data Fusion3D Point Cloud ProcessingGeospatial Information Systems (GIS)GPS and Non-GPS Data ProcessingInertial Navigation Systems (INS)Object Identification & ClassificationPattern Learning AlgorithmsMobile Sensor Data AnalysisTraffic Track Analysis |
Key Research Areas |
BSACSAEESA |
AI Summary | Collaboration Graph |
ADVANCED RESEARCH ANNOUNCEMENT (ARA) TITLE: ADVANCED TRACKING ARCHITECTURE USING AI (ATA-AI) | AFRL/RIED | FA875024S7004 | BSA, CSA, EESA | Target Tracking Architectures | Artificial Intelligence / Machine Learning | Machine Inferencing Algorithms | High Performance Computing (HPC) | Multi-Modal Data Fusion | 3D Point Cloud Processing | Geospatial Information Systems (GIS) | GPS and Non-GPS Data Processing | Inertial Navigation Systems (INS) | Object Identification & Classification | Pattern Learning Algorithms | Mobile Sensor Data Analysis | Traffic Track Analysis | The Department of the Air Force, AFRL/Information Directorate, has issued an Advanced Research Announcement (ARA FA8750-24-S-7004) titled "ADVANCED TRACKING ARCHITECTURE USING AI (ATA-AI)". The program seeks research to design, develop, and deliver technologies for next-generation target tracking architectures. This involves using a wide array of data sources and leveraging Artificial Intelligence (AI), Machine Learning (ML), and Machine Inferencing (MI) algorithms within a High-Performance Computing (HPC) framework. Key technical areas of interest include 3D data processing, AI/ML for multi-modal data fusion, and processing GPS/non-GPS/telematic data for traffic and location tracking. The total estimated funding is approximately $99M, open until July 12, 2029, with individual awards typically ranging from $1M to $10M over 48 months. It is a two-step process, starting with white paper submissions, followed by invited formal proposals. Awards may be FAR-based contracts or Other Transactions. The opportunity is generally closed to foreign participation, with some exceptions. | Carolyn Sheaff | Alexander Sim Alan Di Vittorio Nicola Falco Sylvain Fiolleau Erich Strohmaier Talita Perciano Costa Leite Alexandre Bayen Gunther Weber Aydin Buluc Marta Gonzalez Jean Luca Bez Muaaz Gul Awan Satyarth Praveen Edward Bethel Hasita Veluri Gazi Mahmud Anna Giannakou Yuankun Xu Samuel Williams Luisa Gonzalez | Key Research Areas |
| Rapid Advanced Capability Transition (ReACT) |
AFRL/RS |
Special Notice |
The Air Force Research Laboratory (AFRL) Rapid Advanced Capability Transition (ReACT) is a Multiple Authority Announcement (MAA) designed to provide a comprehensive strategy for progressing Science & ... |
N/A |
Basic & Applied ResearchAdvanced Research & DevelopmentSystem PrototypingHardware Development & IntegrationSoftware Development & EngineeringAgile Development MethodologiesModeling & SimulationSystems Engineering & ArchitectureTest & Technical EvaluationProof of Concept DevelopmentTechnology Maturation & TransitionReverse Engineering for ObsolescenceMaterials Science & DevelopmentOperational Utility AssessmentCommercial Technology Adaptation |
|
N/A |
AI Summary | Collaboration Graph |
Rapid Advanced Capability Transition (ReACT) | AFRL/RS | FA2385-24-S-9701 | N/A | Basic & Applied Research | Advanced Research & Development | System Prototyping | Hardware Development & Integration | Software Development & Engineering | Agile Development Methodologies | Modeling & Simulation | Systems Engineering & Architecture | Test & Technical Evaluation | Proof of Concept Development | Technology Maturation & Transition | Reverse Engineering for Obsolescence | Materials Science & Development | Operational Utility Assessment | Commercial Technology Adaptation | The Air Force Research Laboratory (AFRL) Rapid Advanced Capability Transition (ReACT) is a Multiple Authority Announcement (MAA) designed to provide a comprehensive strategy for progressing Science & Technology (S&T) from basic research to technology maturation and transition. This framework consolidates various solicitation authorities—including Broad Agency Announcements (BAA), Other Transactions (OTs) for Research and Prototypes, and Assistance Instruments—under a single announcement. Solicitations may use a one-step (full proposal) or two-step (white paper first) process and can be structured as fixed-deadline 'Calls for Proposal', rolling-submission 'Staggered Calls', or 'Open Periods' for offeror-generated ideas. The accompanying Industry Guide provides detailed instructions on proposal preparation, including formatting, page limits (5 pages for white papers, 15 for technical proposals), and content requirements for technical and cost volumes. Key evaluation criteria for proposals prioritize technical merit (innovation, soundness of approach, transition potential) with cost/price as a substantial secondary factor. The program also specifies requirements related to data rights (preferring unlimited rights), Government Furnished Property (GFP), and unique rules for different award instruments like OTs and assistance agreements. | N/A | Didier Perrodin Alexander Sim Alan Di Vittorio Michael Tucker Nicola Falco Alex Newkirk Sukhpreet Kaur Alexandre Bayen Zachary Needell Aydin Buluc Jean Luca Bez Muaaz Gul Awan Gregory Lemieux Stefan Lasiewski Harold Barnard Edward Bethel Eric Masanet Hasita Veluri Gazi Mahmud Samuel Williams |
| Air Dominance Broad Agency Announcement (BAA) |
AFRL |
Combined Synopsis/Solicitation |
The Air Force Research Laboratory Munitions Directorate (AFRL/RW) has issued Broad Agency Announcement (BAA) FA8651-25-S-0001 for Air Dominance technology. This BAA solicits research and development p... |
2030-07-10T17:00:00 ET |
Modeling, Simulation, & AnalysisAircraft Integration TechnologiesTargeting & Tracking SystemsDatalink & CommunicationsHigh Velocity Fuzing SystemsMissile Power & ElectronicsMissile Guidance & ControlAdvanced Warhead TechnologiesEnergetic Materials & FormulationsAdvanced Missile PropulsionControl Actuation SystemsWeapon Carriage & ReleaseMissile Test & EvaluationArtificial Intelligence / Autonomy |
Key Research Areas |
CSAETALDPSA |
AI Summary | Collaboration Graph |
Air Dominance Broad Agency Announcement (BAA) | AFRL | FA8651-25-S-0001 | CSA, ETA, LD, PSA | Modeling, Simulation, & Analysis | Aircraft Integration Technologies | Targeting & Tracking Systems | Datalink & Communications | High Velocity Fuzing Systems | Missile Power & Electronics | Missile Guidance & Control | Advanced Warhead Technologies | Energetic Materials & Formulations | Advanced Missile Propulsion | Control Actuation Systems | Weapon Carriage & Release | Missile Test & Evaluation | Artificial Intelligence / Autonomy | The Air Force Research Laboratory Munitions Directorate (AFRL/RW) has issued Broad Agency Announcement (BAA) FA8651-25-S-0001 for Air Dominance technology. This BAA solicits research and development proposals across 13 munitions-related areas: Modeling & Simulation; Aircraft Integration; Find Fix Target Track (F2T2) & Datalinks; Engagement Management; High Velocity Fuzing; Missile Electronics; Guidance & Control; Advanced Warheads; Advanced Propulsion; Control Actuation Systems; Missile Carriage & Release; Test & Evaluation; and AI/Autonomy. The BAA has a cumulative funding ceiling of $750,000,000 and operates on a two-step basis: an open period for white paper submissions which may lead to a proposal request, and specific 'Calls' for proposals on targeted topics. The research is expected to fall under Applied Research (6.2), Advanced Technology Development (6.3), and Advanced Component Development & Prototypes (6.4). Key requirements include potential SECRET facility clearances, compliance with ITAR, and a mandatory Security Risk Review to assess foreign influence. The government's desired data rights are Unlimited Rights for technical data and non-commercial software. | kevin.rooney@us.af.mil | Emil Rofors Didier Perrodin Claire Tomlin William Fawley Alexander Sim Ana Comesana Mauricio Ayllon Unzueta Christian Messe Shawn Tornga Alexandre Bayen Zhe Bai Zachary Needell Kameshwar Poolla Eric Masanet Xianglei Mao Anna Giannakou Bruce Mah Donghun Kim Oluwamayowa Amusat Samuel Williams | Key Research Areas |
| UNITED STATES ARMY RESEARCH INSTITUTE FOR THE BEHAVIORAL AND SOCIAL SCIENCES (ARI) BROAD AGENCY ANNOUNCEMENT FOR BASIC, APPLIED, AND ADVANCED SCIENTIFIC RESEARCH |
UNITED STATES ARMY RESEARCH INSTITUTE FOR THE BEHAVIORAL AND SOCIAL SCIENCES/ARI |
Solicitation |
This document is a five-year (May 2023 - April 2028) Broad Agency Announcement (W911NF-23-S-0010) from the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) soliciting proposal... |
2028-04-30T23:59:00 ET |
Behavioral Data ModelingPredictive Talent AnalyticsAdvanced Statistical MethodsPsychometric Assessment MethodsComputational Social ScienceLongitudinal Data AnalysisOrganizational Dynamics ModelingLeadership Performance ModelingCognitive Competency AssessmentComputational Team CompositionTeam Performance DynamicsSocial Network AnalysisHuman-Machine TeamingTechnological Fluency Assessment |
Talent Management and Personnel AssessmentLeader Development for Complex EnvironmentsTeam Dynamics and Performance OptimizationHuman-Technology Integration and FluencyFoundational Behavioral and Social Science Research |
BSACSAEESAETALD |
AI Summary | Collaboration Graph |
UNITED STATES ARMY RESEARCH INSTITUTE FOR THE BEHAVIORAL AND SOCIAL SCIENCES (ARI) BROAD AGENCY ANNOUNCEMENT FOR BASIC, APPLIED, AND ADVANCED SCIENTIFIC RESEARCH | UNITED STATES ARMY RESEARCH INSTITUTE FOR THE BEHAVIORAL AND SOCIAL SCIENCES/ARI | W911NF-23-S-0010 | BSA, CSA, EESA, ETA, LD | Behavioral Data Modeling | Predictive Talent Analytics | Advanced Statistical Methods | Psychometric Assessment Methods | Computational Social Science | Longitudinal Data Analysis | Organizational Dynamics Modeling | Leadership Performance Modeling | Cognitive Competency Assessment | Computational Team Composition | Team Performance Dynamics | Social Network Analysis | Human-Machine Teaming | Technological Fluency Assessment | This document is a five-year (May 2023 - April 2028) Broad Agency Announcement (W911NF-23-S-0010) from the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) soliciting proposals for basic, applied, and advanced research to enhance Army readiness and human performance. The BAA is divided into Basic Research (e.g., measurement science, organizational dynamics, learning theories) and Applied Research/Advanced Technology Development. Key applied research areas include: 1) Holistic Personnel Assessment and Talent Management, utilizing advanced analytics and big data; 2) Leader Competencies for Complexity and Uncertainty, focusing on developing cognitive and interpersonal skills for all leader levels; 3) Team Assignment and Performance, including optimal team composition and dynamics for multi-domain operations; and 4) Assessing and Developing Technological Fluency. The announcement encourages a three-step submission process (initial contact, white paper, full proposal) and specifies that proposals are evaluated on scientific merit, potential contribution, qualifications, and cost. Awards may be issued as contracts, grants, cooperative agreements, or Other Transactions. | wilveria.a.sanders.civ@army.mil | Alexander Sim Stefan M. Wild Eric Chagnon Ana Comesana Danielle Svehla Christianson Sufi Kaur Heidi Fuchs Michael Mahoney Stephanie Prince Zixi Hu Sarah Poon Margaret Taylor Yuting Chen Ana Kupresanin Aydin Buluc Drew Paine Julie Mulvaney Kemp C. Anna Spurlock Joong Hoon Sim Laleh Cote' Jean Luca Bez Likun Zhang Edward Bethel Michael Sohn Karthik Shekhar Gazi Mahmud Josh North Boris Faybishenko Hannah Cohoon Brennan Less Kaiyu Sun Anna Giannakou Ling Jin Jeetika Malik Marco Pritoni | Talent Management and Personnel Assessment | Leader Development for Complex Environments | Team Dynamics and Performance Optimization | Human-Technology Integration and Fluency | Foundational Behavioral and Social Science Research |
| AFRL BAA Guide for Industry and Proposal Preparation Instructions for the Information Directorate, AFRL, Rome NY |
AFRL/Information Directorate |
Special Notice |
This document is a comprehensive guide from the Air Force Research Laboratory (AFRL) Information Directorate for organizations planning to respond to Broad Agency Announcements (BAAs). It details the ... |
N/A |
Code Generation TechniquesProgram Analysis & TransformationSoftware Performance AnalysisSoftware Debugging InfrastructureIntegrated Computational EnvironmentsAdvanced Software ToolsHigh-Performance ComputingSystem Performance ModelingComputer Communications NetworksNext-Generation ComputingExecution Analysis InfrastructureAutomated Tool SchedulingData Structure Design |
|
N/A |
AI Summary | Collaboration Graph |
AFRL BAA Guide for Industry and Proposal Preparation Instructions for the Information Directorate, AFRL, Rome NY | AFRL/Information Directorate | AFRL-BAA-GUIDE | N/A | Code Generation Techniques | Program Analysis & Transformation | Software Performance Analysis | Software Debugging Infrastructure | Integrated Computational Environments | Advanced Software Tools | High-Performance Computing | System Performance Modeling | Computer Communications Networks | Next-Generation Computing | Execution Analysis Infrastructure | Automated Tool Scheduling | Data Structure Design | This document is a comprehensive guide from the Air Force Research Laboratory (AFRL) Information Directorate for organizations planning to respond to Broad Agency Announcements (BAAs). It details the purpose and process of BAAs for securing Research & Development funding, explaining different solicitation types (e.g., One-Step, Two-Step, Open, Closed, BAA with Calls) and the various award instruments available, including contracts, Grants, Cooperative Agreements (CAs), Other Transactions (OTs), and Technology Investment Agreements (TIAs). The guide provides explicit instructions on preparing and formatting submission documents, such as white papers, technical proposals, cost proposals, and Statements of Work (SOW). It also outlines the government's peer or scientific review process, proposal evaluation criteria, selection categories ('Selectable' or 'Not Selectable'), and the subsequent negotiation and award procedures. | N/A | Alexander Sim Lisa Claus Stefan M. Wild Wei Zhang Ana Comesana Danielle Svehla Christianson Cory Snavely Sufi Kaur Heidi Fuchs Stephanie Prince Dan Gunter Sarah Poon Margaret Taylor Koushik Sen Yuting Chen Ana Kupresanin Angelos Ioannou Aydin Buluc Drew Paine Julie Mulvaney Kemp Joong Hoon Sim Khaled Ibrahim Laleh Cote' Jean Luca Bez Arpit Gupta Gregory Lemieux Edward Bethel Michael Sohn Karthik Shekhar Gazi Mahmud Boris Faybishenko Hannah Cohoon Brennan Less Anna Giannakou Ling Jin Jeetika Malik Marco Pritoni |
| Coordinating Austere Nodes through Virtualization and Analysis of Streams (CANVAS) |
AFRL/Information Directorate |
Presolicitation |
The Department of the Air Force seeks innovative research for the Coordinating Austere Nodes through Virtualization and Analysis of Streams (CANVAS) program. The goal is to develop a prototype system ... |
2029-05-21T16:00:00 ET |
Distributed Workflow ExecutionCommand and Control (C2) VirtualizationDecentralized Execution FrameworksIntent-Based Networking (IBN)Predictive System OptimizationDistributed Control AlgorithmsModeling and Simulation IntegrationSoftware Defined PoliciesWorkflow Tradeoff AnalysisMicroservice-Based ArchitectureReal-Time Data VisualizationDynamic Workflow ManagementResource Constrained OptimizationSystem Prototype Development |
C2 Workflow Simulation and AnalysisIntent-Based Orchestration and Policy ManagementC2 Visualization and Operational Dashboard |
BSACSAEESAETA |
AI Summary | Collaboration Graph |
Coordinating Austere Nodes through Virtualization and Analysis of Streams (CANVAS) | AFRL/Information Directorate | FA875024S7003 | BSA, CSA, EESA, ETA | Distributed Workflow Execution | Command and Control (C2) Virtualization | Decentralized Execution Frameworks | Intent-Based Networking (IBN) | Predictive System Optimization | Distributed Control Algorithms | Modeling and Simulation Integration | Software Defined Policies | Workflow Tradeoff Analysis | Microservice-Based Architecture | Real-Time Data Visualization | Dynamic Workflow Management | Resource Constrained Optimization | System Prototype Development | The Department of the Air Force seeks innovative research for the Coordinating Austere Nodes through Virtualization and Analysis of Streams (CANVAS) program. The goal is to develop a prototype system for continuous orchestration of command and control (C2) processes in distributed, contested environments, supporting the Agile Combat Employment (ACE) concept. The program is structured into two technical areas (TAs): TA1 involves creating a virtual C2 layer for commanders to simulate and analyze the impact of business rule changes and condition-based authorities on dynamic workflows before implementation. TA2 focuses on a decentralized C2 framework to execute these workflows across physically dispersed nodes. For fiscal years 2025 and 2026, the solicitation is strictly limited to white papers for specific components of TA1 only, such as policy generation, tradeoff analysis, intent-based orchestration, and visualization. This is a two-step Broad Agency Announcement (BAA) with approximately $24.9M in total funding available until May 2029, with individual awards expected to range from $200K to $3M. | ryan.hilliard.3@us.af.mil | Alexander Sim Anand Krishnan Prakash Danielle Svehla Christianson Alexandre Moreira da Silva Sufi Kaur Ronal Kumar John Wu Michael Wetter Dan Gunter Sarah Poon Steven Hofmeyr Alexandre Bayen Nica Campbell Zachary Needell Rajshree Deshmukh Aydin Buluc Drew Paine Julie Mulvaney Kemp Khaled Ibrahim Cees De Laat Dan Bonachea Jean Luca Bez Arpit Gupta Gregory Lemieux Kameshwar Poolla Vinay Sawal Chris Harris Michael Sohn Annette Greiner Gazi Mahmud Thomas Hendrickson Jennifer Stokes-Draut Hannah Cohoon Anna Giannakou Abdelilah Essiari Donghun Kim Oluwamayowa Amusat Cody O'Donnell | C2 Workflow Simulation and Analysis | Intent-Based Orchestration and Policy Management | C2 Visualization and Operational Dashboard |
| AERIAL LAYER NETWORKING & TRANSMISSION TECHNOLOGIES |
AFRL/Information Directorate |
Presolicitation |
The Air Force Research Laboratory (AFRL) is soliciting white papers for the 'Aerial Layer Networking & Transmission Technologies' Broad Agency Announcement (BAA FA8750-23-S-7002). The objective is to ... |
2027-09-30T17:00:00 ET |
Aerial Layer NetworkingAutonomic Network ManagementSoftware Defined Networking (SDN)Network Function Virtualization (NFV)Resilient Network ArchitecturesTactical Mesh NetworkingAd-Hoc Network TechnologiesAdvanced Waveform DevelopmentRadio Frequency (RF) HardwareSoftware-Defined Radio (SDR) SystemsActive-Electronically Steered Arrays (AESA)Electronic Tracking AlgorithmsEmbedded Control SoftwareModel-Based System SimulationTactical Data Link (TDL) Management |
Airborne Network Management and MonitoringRobust and Resilient Airborne NetworkingDemonstrable Aerial Layer Network Technologies |
CSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
AERIAL LAYER NETWORKING & TRANSMISSION TECHNOLOGIES | AFRL/Information Directorate | FA875023S7002 | CSA, EESA, ESA, ETA, LD, PSA | Aerial Layer Networking | Autonomic Network Management | Software Defined Networking (SDN) | Network Function Virtualization (NFV) | Resilient Network Architectures | Tactical Mesh Networking | Ad-Hoc Network Technologies | Advanced Waveform Development | Radio Frequency (RF) Hardware | Software-Defined Radio (SDR) Systems | Active-Electronically Steered Arrays (AESA) | Electronic Tracking Algorithms | Embedded Control Software | Model-Based System Simulation | Tactical Data Link (TDL) Management | The Air Force Research Laboratory (AFRL) is soliciting white papers for the 'Aerial Layer Networking & Transmission Technologies' Broad Agency Announcement (BAA FA8750-23-S-7002). The objective is to advance aerial network architectures from their current state of requiring significant pre-planning with limited interoperability to a more on-demand, self-forming, and self-healing network. Key research areas include: 1) Airborne Network Management and Monitoring, utilizing techniques like SDN and NFV; 2) Robust Airborne Networking, focusing on resilient apertures, waveforms, and next-generation mesh networking for contested environments; and 3) Demonstrable Technologies, such as advanced radios, waveforms, and AESA-based ground-to-air tracking systems. The BAA has an estimated total funding of $99.5M and is open until September 30, 2027. It follows a two-step process where interested parties first submit a white paper, and formal proposals are by invitation only. Individual awards are expected to range from $1M to $10M over 36 months, with the potential for larger awards. Award instruments may include procurement contracts, grants, cooperative agreements, or Other Transactions (OTs). | Timothy Weaver | Alexander Sim Alp Sipahigil Dale Carder Adam Slagell Anand Krishnan Prakash Dipak Ghosal Hao Ding Ronal Kumar John Wu Andre Santos Prabal Dutta Shawn Tornga Angelos Ioannou Zachary Needell Abhi Rajagopala Sean Peisert Jean Luca Bez Dan Bonachea Qiang Du Nicolas Abgrall Arpit Gupta Inder Monga Meriam Gay Bautista-Jurney Vinay Sawal Yilun Xu Hasita Veluri Stijn (Stan) Wielandt Bruce Mah Georgios Michelogiannakis Boubacar Kante | Airborne Network Management and Monitoring | Robust and Resilient Airborne Networking | Demonstrable Aerial Layer Network Technologies |
| NETWORKING THE FIGHT |
AFRL/RI |
Presolicitation |
The Air Force Research Laboratory's 'Networking the Fight' (BAA FA8750-24-S-7002) is a broad agency announcement with approximately $70 million in total funding. It seeks to develop technologies that ... |
2029-02-14T23:59:00 ET |
Cross-Domain Solution BrokerDynamic Red/Black NetworkingModeling, Simulation, and Analysis (MS&A)Secure Information SharingTactical Heterogeneous NetworksResilient Network ForwardingMission-Aware Network ManagementCDS Reconfigurability and DiscoverabilitySecure Metadata ManagementDigital Model DevelopmentNetwork Simulation and EmulationSystem Integration and PrototypingNetwork Quality of Service (QoS)Open Systems ArchitectureSecure Communication Protocols |
Next Generation Cross Domain Solution BrokerHighly Dynamic Red/Black NetworkingModeling, Simulation, and Analysis (MS&A) |
BSACSAEESAETALD |
AI Summary | Collaboration Graph |
NETWORKING THE FIGHT | AFRL/RI | FA875024S7002 | BSA, CSA, EESA, ETA, LD | Cross-Domain Solution Broker | Dynamic Red/Black Networking | Modeling, Simulation, and Analysis (MS&A) | Secure Information Sharing | Tactical Heterogeneous Networks | Resilient Network Forwarding | Mission-Aware Network Management | CDS Reconfigurability and Discoverability | Secure Metadata Management | Digital Model Development | Network Simulation and Emulation | System Integration and Prototyping | Network Quality of Service (QoS) | Open Systems Architecture | Secure Communication Protocols | The Air Force Research Laboratory's 'Networking the Fight' (BAA FA8750-24-S-7002) is a broad agency announcement with approximately $70 million in total funding. It seeks to develop technologies that enhance information sharing at the tactical edge for Joint All-Domain Command and Control (JADC2). The program's objective is to enable the secure, seamless, and resilient movement of data across multiple security domains (i.e., 'red-black' boundaries) and physical domains (air, space, ground), particularly in contested, degraded, and disconnected environments. The effort is focused on three technical areas (TAs): (TA1) Next Generation Cross Domain Solution Broker for managing existing cross-domain solutions tactically; (TA2) Highly Dynamic Red/Black Networking for resiliently routing classified data over unclassified networks by passing metadata; and (TA3) Modeling, Simulation, and Analysis (MS&A) to create a government-owned testbed to evaluate technologies from TA1 and TA2. The program is structured in a multi-phase approach designed to mature prototypes to a Technology Readiness Level (TRL) 6 demonstration, emphasizing open standards, multi-vendor interoperability, and government-owned deliverables. | brian.kay.4@us.af.mil | Shreyas Cholia Alexander Sim Adam Slagell Dipak Ghosal Karlo Berket Cory Snavely Ronal Kumar John Wu Michael Wetter Shawn Tornga Alexandre Bayen Angelos Ioannou Zachary Needell Aydin Buluc Sean Peisert Dan Bonachea Arpit Gupta Evangelos Chaniotakis Meriam Gay Bautista-Jurney Gregory Lemieux Vinay Sawal Sudip Dosanjh Gazi Mahmud Georgios Michelogiannakis Sunhee Baik Abdelilah Essiari Samuel Williams | Next Generation Cross Domain Solution Broker | Highly Dynamic Red/Black Networking | Modeling, Simulation, and Analysis (MS&A) |
| FOUNDATIONS OF TRUSTED SYSTEMS |
AFRL/RITA |
Presolicitation |
The U.S. Air Force Research Laboratory (AFRL) has issued Broad Agency Announcement (BAA) FA8750-25-S-7001, 'Foundations of Trusted Systems', to solicit innovative research for establishing trusted har... |
2028-12-04T14:00:00 ET |
Hardware Security & TrustSecure Computer ArchitectureSoftware Assurance (SwA)Formal Methods & VerificationModel-Based Systems EngineeringCyber-Physical Systems (CPS) SecurityAI / ML AssuranceAdversarial AI MitigationAI-Assisted Formal MethodsResilient & Self-Healing SoftwareRuntime Verification & ValidationCorrect-by-Construction DesignSoftware Model ExtractionSecure Software Development |
Foundational Hardware and System TrustAdvanced Software Assurance and Resilient EngineeringAI in Trusted Systems and AssuranceCyber-Physical Systems (CPS) Security and Integration |
BSACSAEESAESAETAPSA |
AI Summary | Collaboration Graph |
FOUNDATIONS OF TRUSTED SYSTEMS | AFRL/RITA | FA875025S7001 | BSA, CSA, EESA, ESA, ETA, PSA | Hardware Security & Trust | Secure Computer Architecture | Software Assurance (SwA) | Formal Methods & Verification | Model-Based Systems Engineering | Cyber-Physical Systems (CPS) Security | AI / ML Assurance | Adversarial AI Mitigation | AI-Assisted Formal Methods | Resilient & Self-Healing Software | Runtime Verification & Validation | Correct-by-Construction Design | Software Model Extraction | Secure Software Development | The U.S. Air Force Research Laboratory (AFRL) has issued Broad Agency Announcement (BAA) FA8750-25-S-7001, 'Foundations of Trusted Systems', to solicit innovative research for establishing trusted hardware and software foundations for secure, resilient, and affordable Command, Control, Communications, Computers, Intelligence (C4I) and Cyber information processing systems. This is an open, two-step BAA effective until December 4, 2028, with a total estimated funding of $99.9 million. Initial submissions are limited to white papers, with formal proposals accepted by invitation only. Individual awards will typically range from $100K to $5M over a period of up to 36 months. Key technical areas of interest include: trusted and resilient computational systems, software assurance, cyber-physical systems (CPS), the application of AI in trusted systems, and digital engineering model-based analysis. An amendment updated the BAA Program Manager to 2d Lt. Jeffrey Benson. | Esteban Garcia | Han Li Xiaoya Chong Eric Chagnon Rohan Adwankar Anand Krishnan Prakash Karlo Berket Alexandre Moreira da Silva Neel Rajeshbhai Vora Sufi Kaur Jason Lowe-Power Alex Newkirk Tiffany Connors Michael Wetter David Blum Steven Hofmeyr Koushik Sen Alexandre Bayen Angelos Ioannou Zachary Needell Khaled Ibrahim Sean Peisert Dan Bonachea Shi Wang Gregory Lemieux Meriam Gay Bautista-Jurney Nestor Demeure Stefan Lasiewski Marcos Lopez de Prado Vinay Sawal Edward Bethel Hasita Veluri Gazi Mahmud Douglas Black Anna Giannakou Georgios Michelogiannakis Oluwamayowa Amusat Samuel Williams Daniel Arnold | Foundational Hardware and System Trust | Advanced Software Assurance and Resilient Engineering | AI in Trusted Systems and Assurance | Cyber-Physical Systems (CPS) Security and Integration |
| Targeting Operations and Analytics Development |
AFRL/RI |
Presolicitation |
The Air Force Research Laboratory (AFRL) has issued a Broad Agency Announcement (BAA FA8750-25-S-7002) titled 'Targeting Operations and Analytics Development' with an estimated total funding of $499 m... |
2029-09-30T16:00:00 ET |
Dynamic Targeting EngagementWeapon-Target Pairing ToolsHuman-in-the-Loop SystemsLow SWaP-C ArchitecturesAssured Mission CommunicationsResilient NetworkingCombat Damage AssessmentMulti-Source Data FusionIndications & Warning AnalyticsAutomated Pattern RecognitionGraph-based AnalyticsAnomaly Detection TechniquesTest and Evaluation Methodologies |
Dynamic Targeting Engagement at ScaleAssured Mission CommunicationsReal-Time Combat AssessmentIndications & Warning (I&W) AnalyticsTest and Evaluation Methodologies |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Targeting Operations and Analytics Development | AFRL/RI | FA875025S7002 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Dynamic Targeting Engagement | Weapon-Target Pairing Tools | Human-in-the-Loop Systems | Low SWaP-C Architectures | Assured Mission Communications | Resilient Networking | Combat Damage Assessment | Multi-Source Data Fusion | Indications & Warning Analytics | Automated Pattern Recognition | Graph-based Analytics | Anomaly Detection Techniques | Test and Evaluation Methodologies | The Air Force Research Laboratory (AFRL) has issued a Broad Agency Announcement (BAA FA8750-25-S-7002) titled 'Targeting Operations and Analytics Development' with an estimated total funding of $499 million, open until September 30, 2029. The program seeks innovative research to develop, test, and integrate technologies that improve the joint targeting cycle. Key technical focus areas include: Dynamic Targeting Engagement at Scale, resilient Mission Communications, rapid Combat Assessment, Indications & Warning (I&W) Analytics, and associated Test and Evaluation methodologies. The BAA is a two-step process, requiring an initial white paper submission before a potential invitation to submit a full proposal. Individual awards are anticipated to range from $1 million to $25 million over 36 months, with the possibility of awards up to $99.9 million. The opportunity is generally closed to foreign participation. | Ariana Emad | Shreyas Cholia Marco Salathe Alexander Sim Claire Tomlin Alp Sipahigil Nicola Falco Ana Comesana Anand Krishnan Prakash Alexandre Moreira da Silva Sufi Kaur Alex Newkirk John Wu Tiffany Connors Michael Mahoney Prabal Dutta Daniela Ushizima Shawn Tornga Koushik Sen Alexandre Bayen Ana Kupresanin Zhe Bai Zachary Needell Laleh Cote' Sean Peisert Satyarth Praveen Hannah Parrilla Meriam Gay Bautista-Jurney Marcos Lopez de Prado Gregory Lemieux Edward Bethel Boubacar Kante Gazi Mahmud Stijn (Stan) Wielandt Jennifer Stokes-Draut Brennan Less Victor Negut Georgios Michelogiannakis Bruce Mah Sunhee Baik Marco Pritoni Donghun Kim Oluwamayowa Amusat Samuel Williams | Dynamic Targeting Engagement at Scale | Assured Mission Communications | Real-Time Combat Assessment | Indications & Warning (I&W) Analytics | Test and Evaluation Methodologies |
| QUANTUM INFORMATION SCIENCES |
AFRL/Information Directorate |
Presolicitation |
The Department of the Air Force, Air Force Research Laboratory Information Directorate (AFRL/RI), is soliciting research proposals under Broad Agency Announcement (BAA) FA8750-23-S-7001 for Quantum In... |
2027-09-30T14:00:00 ET |
Quantum Algorithms DevelopmentHybrid Quantum-Classical ComputingQuantum Hardware BenchmarkingQuantum Information ProcessingEntanglement Distribution NetworksQuantum Networking ProtocolsHeterogeneous Qubit InterfacingTrapped Ion Quantum SystemsSuperconducting Qubit TechnologyPhoton-based Qubit SystemsQuantum TransductionQuantum Device DevelopmentQuantum Repeater TechnologyCryogenic & Vacuum TechnologyIntegrated Photonic Circuitry |
Quantum Algorithm and ComputationQuantum Information ProcessingMemory-Node-Based Quantum NetworkingHeterogeneous Quantum PlatformsGeneral Quantum Information Science |
CSAEESAESAPSA |
AI Summary | Collaboration Graph |
QUANTUM INFORMATION SCIENCES | AFRL/Information Directorate | FA875023S7001 | CSA, EESA, ESA, PSA | Quantum Algorithms Development | Hybrid Quantum-Classical Computing | Quantum Hardware Benchmarking | Quantum Information Processing | Entanglement Distribution Networks | Quantum Networking Protocols | Heterogeneous Qubit Interfacing | Trapped Ion Quantum Systems | Superconducting Qubit Technology | Photon-based Qubit Systems | Quantum Transduction | Quantum Device Development | Quantum Repeater Technology | Cryogenic & Vacuum Technology | Integrated Photonic Circuitry | The Department of the Air Force, Air Force Research Laboratory Information Directorate (AFRL/RI), is soliciting research proposals under Broad Agency Announcement (BAA) FA8750-23-S-7001 for Quantum Information Sciences (QIS). With a total estimated funding of approximately $499.9 million through FY27, this BAA seeks to advance QIS technologies for Command, Control, Communications, Computers & Intelligence (C4I) applications. The program follows a two-step process, requiring interested parties to first submit a white paper. Technical focus areas include: 1) Quantum Algorithm and Computation, 2) Quantum Information Processing, 3) Memory-Node-Based Quantum Networking, 4) Heterogeneous Quantum Platforms, and 5) other enabling QIS topics. The BAA is open until September 30, 2027, with individual awards typically ranging from $0.5M to $27M. The solicitation is generally closed to foreign participation, and all proposals are subject to a mandatory Science and Technology (S&T) Protection security risk review. | AFRL.RIT.Quantum@us.af.mil | Alp Sipahigil Jose Luis Rudeiros Fernandez Kan-Heng Lee Akash Dixit Erhan Saglamyurek Ezra Kissel Neel Rajeshbhai Vora Ran Cheng Eric Ma Kaushalya Jhuria John Wu Ermal Rrapaj Marina Radulaski Yizhi Shen Hartmut Haeffner Hendrik Utzat Meriam Gay Bautista-Jurney Mengjie Yu Daan Camps Wei Liu Inder Monga Zhao Hao Irfan Siddiqi Yilun Xu Katherine Klymko Ravi Naik Michael Zaletel Arun Persaud Anthony Ciavarella Roel Van Beeumen Boubacar Kante | Quantum Algorithm and Computation | Quantum Information Processing | Memory-Node-Based Quantum Networking | Heterogeneous Quantum Platforms | General Quantum Information Science |
| Microelectronics Innovation for Next-generation System Advancement and Validation (MINSAV) Advanced Research Announcement (ARA) with Calls |
AFRL/RQKSR |
Presolicitation |
The Microelectronics Innovation for Next-generation System Advancement and Validation (MINSAV) is an Air Force Research Laboratory (AFRL) Advanced Research Announcement (ARA) aimed at funding the rese... |
2029-10-01T17:00:00 ET |
Microelectronics DesignMicroelectronics FabricationSensor Technology DevelopmentSignal Generation TechnologiesAdvanced Signal ProcessingAutonomous SystemsArtificial Intelligence ApplicationsPosition, Navigation & Timing (PNT)Electronic Warfare SystemsAdvanced Data ProcessingSpatially Agile SystemsSpectrally Agile SystemsPrototype System Construction |
Microelectronics for AI, Autonomy, and Data ProcessingMicroelectronics for Advanced Sensor and RF SystemsMicroelectronics for PNT and Strategic Applications |
CSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Microelectronics Innovation for Next-generation System Advancement and Validation (MINSAV) Advanced Research Announcement (ARA) with Calls | AFRL/RQKSR | FA8650-19-S-1932 | CSA, EESA, ESA, ETA, LD, PSA | Microelectronics Design | Microelectronics Fabrication | Sensor Technology Development | Signal Generation Technologies | Advanced Signal Processing | Autonomous Systems | Artificial Intelligence Applications | Position, Navigation & Timing (PNT) | Electronic Warfare Systems | Advanced Data Processing | Spatially Agile Systems | Spectrally Agile Systems | Prototype System Construction | The Microelectronics Innovation for Next-generation System Advancement and Validation (MINSAV) is an Air Force Research Laboratory (AFRL) Advanced Research Announcement (ARA) aimed at funding the research, design, fabrication, and validation of innovative microelectronics. The program's objective is to enhance the U.S. microelectronics ecosystem by aligning commercial development with Department of Defense (DoD) needs to maintain technological superiority. It seeks proposals for constructing prototype systems demonstrating advanced capabilities in sensor signal generation and processing. Key technical application areas include autonomous systems, artificial intelligence, position, navigation, and timing (PNT), electronic warfare, high-speed data processing, and agile sensing. Awards will be Cost-Plus-Fixed-Fee (CPFF) contracts, with deliverables including research data, software, and hardware. The solicitation period is extended to October 1, 2029. | Jennifer M. Skalski | Emil Rofors Alexander Sim Claire Tomlin Alp Sipahigil Sayeef Salahuddin Neel Rajeshbhai Vora Kaushalya Jhuria Alex Newkirk Prabal Dutta Shawn Tornga Alexandre Bayen Angelos Ioannou Marta Gonzalez Mark Bandstra Jean Luca Bez Qiang Du Nicolas Abgrall Yuan Mei Meriam Gay Bautista-Jurney Yilun Xu Vinay Sawal Edward Bethel Houjun Tang Jayson Vavrek Hasita Veluri Arian Gashi Stijn (Stan) Wielandt Anna Giannakou Georgios Michelogiannakis Panagiotis Zarkos Boubacar Kante Samuel Williams | Microelectronics for AI, Autonomy, and Data Processing | Microelectronics for Advanced Sensor and RF Systems | Microelectronics for PNT and Strategic Applications |
| Generative Unconstrained Intelligence Drug Engineering (GUIDE) collaboration between U.S. interagency, academic and industry partners |
JPEO-CBRND/JPL-CBRND-EB |
Special Notice |
[Analyzed from API Fallback] The Joint Project Lead Chemical, Biological, Radiological, and Nuclear Defense Enabling Biotechnologies (JPL-CBRND-EB) is seeking U.S. interagency, academic, and industry ... |
2028-10-18T12:00:00 ET |
Generative AI / Machine LearningComputational Drug DesignAdvanced Simulation & ModelingMedical Countermeasure DevelopmentSmall Molecule Drug DiscoveryBiologics Product DesignMonoclonal Antibody EngineeringVaccine Design & DevelopmentPharmacokinetics/Pharmacodynamics (PK/PD) ModelingBiophysical Properties ModelingDrug Manufacturability AssessmentDrug Safety & Efficacy ModelingDrug Repurposing StrategiesCBRN Defense Biotechnology |
AI-Powered Drug EngineeringRapid Medical Countermeasure (MCM) DevelopmentHolistic Drug Candidate Optimization |
BSACSAESAETAPSA |
AI Summary | Collaboration Graph |
Generative Unconstrained Intelligence Drug Engineering (GUIDE) collaboration between U.S. interagency, academic and industry partners | JPEO-CBRND/JPL-CBRND-EB | W911SR-25-S-GUIDE | BSA, CSA, ESA, ETA, PSA | Generative AI / Machine Learning | Computational Drug Design | Advanced Simulation & Modeling | Medical Countermeasure Development | Small Molecule Drug Discovery | Biologics Product Design | Monoclonal Antibody Engineering | Vaccine Design & Development | Pharmacokinetics/Pharmacodynamics (PK/PD) Modeling | Biophysical Properties Modeling | Drug Manufacturability Assessment | Drug Safety & Efficacy Modeling | Drug Repurposing Strategies | CBRN Defense Biotechnology | [Analyzed from API Fallback] The Joint Project Lead Chemical, Biological, Radiological, and Nuclear Defense Enabling Biotechnologies (JPL-CBRND-EB) is seeking U.S. interagency, academic, and industry partners for the Generative Unconstrained Intelligence Drug Engineering (GUIDE) program. GUIDE is an integrated computational and experimental platform that utilizes advanced simulation and machine learning to accelerate the design and discovery of medical countermeasures, including biological products (e.g., monoclonal antibodies, vaccines) and small molecule drugs. The platform's goal is to simultaneously optimize for safety, efficacy, manufacturability, and pharmacokinetics. Interested parties with technical relevance in Medical Countermeasure development are invited to request participation to establish a Participant Basic Agreement (PBA), with potential project awards made under 10 U.S.C. 4022 and 10 U.S.C. 4023, outside of standard FAR regulations. | Richard Totten | Jennifer Doudna Prakash Rao William Fawley Alexander Sim Xiaoya Chong Eric Chagnon Gang Ren Rohan Adwankar Chang Dou Thomas Eng Mohammad Kaazem Pur Mofrad Peng Peng Hyun-Ro Lee Dhruva Kulkarni Zixi Hu Aindrila Mukhopadhyay Thomas McKone Grigory Tikhomirov Shashank Subramanian Brandon Cook Zhong Wang Aeron Tynes Hammack Bryan Mccloskey Kanupriya Pande Muaaz Gul Awan Samuel Blau Silvia Crivelli Jayson Vavrek Zhi Jackie Yao Gazi Mahmud Thomas Hendrickson Jennifer Stokes-Draut Jenny Onley Maciej Haranczyk Eileen Dawson Harshini Mukundan Phillip Messersmith Oluwamayowa Amusat Banumathi Sankaran | AI-Powered Drug Engineering | Rapid Medical Countermeasure (MCM) Development | Holistic Drug Candidate Optimization |
| ADVANCING SYSTEMS OF SYSTEMS TECHNOLOGIES FOR RAPID ADOPTION (ASTRA) |
AFRL/Information Directorate |
Presolicitation |
The U.S. Air Force Research Laboratory (AFRL) is soliciting innovative research under the 'Advancing Systems of Systems Technologies for Rapid Adoption (ASTRA)' Advanced Research Announcement (ARA), F... |
2028-07-24T17:00:00 ET |
System of Systems (SoS) IntegrationSTITCHES Toolchain DevelopmentAlgorithm Development & EvaluationAutomated Test GenerationHeterogeneous Electronic SystemsOpen System Architectures (OSA)System Interface ModelingSoftware Prototyping & DemonstrationDevOps & Cloud Platform IntegrationMission Capability ArchitectingResilient Information ManagementSecure Cloud HostingHardware/Software IntegrationSystem Monitoring & Auditing |
STITCHES Tools and Technologies for System of Systems IntegrationCloud-Native DevOps Platform for STITCHES |
BSACSAEESALD |
AI Summary | Collaboration Graph |
ADVANCING SYSTEMS OF SYSTEMS TECHNOLOGIES FOR RAPID ADOPTION (ASTRA) | AFRL/Information Directorate | FA875023S7007 | BSA, CSA, EESA, LD | System of Systems (SoS) Integration | STITCHES Toolchain Development | Algorithm Development & Evaluation | Automated Test Generation | Heterogeneous Electronic Systems | Open System Architectures (OSA) | System Interface Modeling | Software Prototyping & Demonstration | DevOps & Cloud Platform Integration | Mission Capability Architecting | Resilient Information Management | Secure Cloud Hosting | Hardware/Software Integration | System Monitoring & Auditing | The U.S. Air Force Research Laboratory (AFRL) is soliciting innovative research under the 'Advancing Systems of Systems Technologies for Rapid Adoption (ASTRA)' Advanced Research Announcement (ARA), FA8750-23-S-7007. The program, with a total estimated funding of $350 million, seeks to mature, prototype, demonstrate, and evaluate algorithms, methodologies, and capabilities for the rapid integration of Systems of Systems (SoS). A central goal is to enhance the 'System-of-systems Technology Integration Tool Chain for Heterogeneous Electronic Systems (STITCHES)' and enable the auto-generation of tests. Technical focus areas include developing and enhancing STITCHES tools for modeling system interfaces and composing mission capabilities (e.g., kill chains, electronic warfare), and creating a supporting DevOps Government cloud-based platform for the STITCHES Warfighter Application Team (SWAT). The solicitation is a two-step process, starting with white papers, and is open until July 24, 2028. Awards may be FAR-based contracts or Other Transactions (OTs), with individual awards potentially reaching up to $99.9M. | Gerard Wohlrab | Alexander Sim Karlo Berket Danielle Svehla Christianson Cory Snavely Kirill Lozinskiy Sufi Kaur Tiffany Connors Sukhpreet Kaur Oscar Antepara Shawn Tornga Sarah Poon Koushik Sen Alexandre Bayen Angelos Ioannou Damian Rouson Khaled Ibrahim Sean Peisert Cees De Laat Gregory Lemieux Stefan Lasiewski Vinay Sawal Gazi Mahmud Hannah Cohoon Kaiyu Sun Asir Intisar Khan | STITCHES Tools and Technologies for System of Systems Integration | Cloud-Native DevOps Platform for STITCHES |
| NAVWAR Commercial Solutions Opening (CSO) |
NAVWAR |
Special Notice |
The Naval Information Warfare Systems Command (NAVWAR) has issued a Commercial Solutions Opening (CSO), N00039-25-S-0001, to rapidly procure innovative commercial solutions and services that enhance i... |
2030-06-03T17:00:00 ET |
Information Warfare CapabilitiesC4I SystemsCross-Domain TechnologiesSeabed-to-Space OperationsDigital & Enterprise ServicesCybersecurity & Information AssuranceRapid Technology PrototypingAgile Software DevelopmentAlgorithm DevelopmentSystems Engineering & IntegrationAdvanced Communications TechnologiesIntelligence & Data AnalyticsCommand and Control (C2) Solutions |
|
N/A |
AI Summary | Collaboration Graph |
NAVWAR Commercial Solutions Opening (CSO) | NAVWAR | N00039-25-S-0001 | N/A | Information Warfare Capabilities | C4I Systems | Cross-Domain Technologies | Seabed-to-Space Operations | Digital & Enterprise Services | Cybersecurity & Information Assurance | Rapid Technology Prototyping | Agile Software Development | Algorithm Development | Systems Engineering & Integration | Advanced Communications Technologies | Intelligence & Data Analytics | Command and Control (C2) Solutions | The Naval Information Warfare Systems Command (NAVWAR) has issued a Commercial Solutions Opening (CSO), N00039-25-S-0001, to rapidly procure innovative commercial solutions and services that enhance information warfare capabilities. The CSO is available from June 4, 2025, through June 3, 2030. It utilizes a three-phase competitive process: Phase 1 (Solution Brief), Phase 2 (Pitch Session), and Phase 3 (Proposal). Specific needs are published as Areas of Interest (AOIs) on the NAVWAR website. Potential awards will be Firm-Fixed Price (FFP) or Fixed-Price Incentive (FPI) and can take the form of Other Transaction (OT) Agreements for Prototypes, FAR Part 12 commercial contracts, or FAR Part 13 simplified acquisitions. While there's no overall ceiling, individual awards are not expected to exceed $100 million. Successful completion of a prototype OT may lead to a non-competitive follow-on production contract. | NAVWAR-HQ-CSO-info@us.navy.mil | Alexander Sim Dipak Ghosal Karlo Berket Danielle Svehla Christianson Cory Snavely Kirill Lozinskiy Sufi Kaur Tiffany Connors Oscar Antepara Shawn Tornga Sarah Poon Alexandre Bayen Peter Tennessen Damian Rouson Khaled Ibrahim Sean Peisert Gregory Lemieux Stefan Lasiewski Vinay Sawal Eric Masanet Gazi Mahmud Hannah Cohoon Bruce Mah |
| Air Delivered Effects Broad Area Announcement |
AFRL/RW |
Combined Synopsis/Solicitation |
The Air Force Research Laboratory, Munitions Directorate (AFRL/RW) is soliciting research proposals under the "Air Delivered Effects" Broad Agency Announcement (BAA FA8651-22-S-0001). This five-year, ... |
2027-03-21T17:00:00 ET |
Weapon Airframe & AerodynamicsGuidance, Navigation & Control (GNC)AI / Machine LearningAutonomous Target RecognitionCollaborative & Autonomous WeaponsSeeker & Sensor TechnologiesModeling, Simulation & Analysis (MS&A)Hardware-in-the-Loop (HIL) SimulationLethality & Computational MechanicsWarhead & Ordnance TechnologiesFuze & Initiation SystemsEnergetic Materials R&DMultifunction RF & Radar SystemsWeapon Systems CybersecurityModular Open Systems Architecture (MOSA) |
Autonomous Systems and Artificial IntelligenceAdvanced Munition Subsystems and AirframesWarheads, Fuzing, and Energetic MaterialsDigital Engineering, Modeling, and SimulationCyber and PNT Resilience |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Air Delivered Effects Broad Area Announcement | AFRL/RW | FA8651-22-S-0001 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Weapon Airframe & Aerodynamics | Guidance, Navigation & Control (GNC) | AI / Machine Learning | Autonomous Target Recognition | Collaborative & Autonomous Weapons | Seeker & Sensor Technologies | Modeling, Simulation & Analysis (MS&A) | Hardware-in-the-Loop (HIL) Simulation | Lethality & Computational Mechanics | Warhead & Ordnance Technologies | Fuze & Initiation Systems | Energetic Materials R&D | Multifunction RF & Radar Systems | Weapon Systems Cybersecurity | Modular Open Systems Architecture (MOSA) | The Air Force Research Laboratory, Munitions Directorate (AFRL/RW) is soliciting research proposals under the "Air Delivered Effects" Broad Agency Announcement (BAA FA8651-22-S-0001). This five-year, two-step BAA, with an anticipated cumulative value not to exceed $750M, seeks to advance conventional munitions technology through basic research, applied research, and advanced technology development. The process begins with a 5-page white paper submission, which, if favorably evaluated, may lead to an invitation for a full proposal. The BAA covers 19 distinct research areas, including but not limited to: weapon airframe systems for high-speed flight, autonomous target recognition (ATR), bioprincipic systems, advanced navigation for GPS-denied environments, warhead and fuze research, energetic materials, multi-function radar, modular open systems, weapon autonomy and control, and cyber survivability. Awards may include various contract types, grants, or other transactions. The BAA specifies requirements for security clearances, export controls, data rights (preferring unlimited rights), and cybersecurity compliance (NIST SP 800-171), and includes a security risk review process to identify and mitigate undue foreign influence. | amy.fortenberry.1@us.af.mil | Emil Rofors Marco Salathe Didier Perrodin Claire Tomlin Alexander Sim Prakash Rao Han Li Xiaoya Chong Nicola Falco Bin Wang Anand Krishnan Prakash Shiva Shunmugam Nagarajan Vassilia Zorba Alexandre Moreira da Silva Cory Snavely Guoying Chen Alex Newkirk Tiffany Connors Andre Santos Michael Wetter Shawn Tornga Talita Perciano Costa Leite Tarek Zohdi Sumanjeet Kaur Angelos Ioannou Zhe Bai Zachary Needell Peter Hosemann Shashank Subramanian David McCallen Weiping Huang Sean Peisert Qiang Du Hannah Parrilla Marcos Lopez de Prado Gregory Lemieux Meriam Gay Bautista-Jurney Kameshwar Poolla Daryl Chrzan Karthik Shekhar Jayson Vavrek Gazi Mahmud Stijn (Stan) Wielandt Jennifer Stokes-Draut Victor Negut Xianglei Mao Xiong Peng Arnaud Allezy Sunhee Baik Jeetika Malik Marco Pritoni Donghun Kim | Autonomous Systems and Artificial Intelligence | Advanced Munition Subsystems and Airframes | Warheads, Fuzing, and Energetic Materials | Digital Engineering, Modeling, and Simulation | Cyber and PNT Resilience |
| Autonomous Decisions, Algorithms, and Modeling (ADAM) |
AFRL/RYA |
Solicitation |
The Autonomous Decisions, Algorithms, and Modeling (ADAM) Multiple Authority Announcement (MAA) is an initiative by the Air Force Research Laboratory, Sensors Directorate (AFRL/RYA) to solicit science... |
2030-04-14T00:00:00 ET |
Autonomous Decision MakingAlgorithm DevelopmentModeling and SimulationSensor Systems TechnologyPrototype DevelopmentSystems EngineeringSoftware Development & EngineeringHardware Development & IntegrationScientific Research & DevelopmentSignal ProcessingAeronautical SystemsTelecommunications TechnologySpace-Flight TechnologiesReverse EngineeringData Analysis and Management |
Key Research Areas |
BSAEESAETAPSA |
AI Summary | Collaboration Graph |
Autonomous Decisions, Algorithms, and Modeling (ADAM) | AFRL/RYA | FA2377-25-S-1207 | BSA, EESA, ETA, PSA | Autonomous Decision Making | Algorithm Development | Modeling and Simulation | Sensor Systems Technology | Prototype Development | Systems Engineering | Software Development & Engineering | Hardware Development & Integration | Scientific Research & Development | Signal Processing | Aeronautical Systems | Telecommunications Technology | Space-Flight Technologies | Reverse Engineering | Data Analysis and Management | The Autonomous Decisions, Algorithms, and Modeling (ADAM) Multiple Authority Announcement (MAA) is an initiative by the Air Force Research Laboratory, Sensors Directorate (AFRL/RYA) to solicit science and technology (S&T) solutions, spanning from basic research to technology transition. The program utilizes a flexible Multiple Authority Announcement framework, consolidating various solicitation authorities like Broad Agency Announcements (BAAs), Other Transactions (OTs for Research and Prototypes), Assistance Instruments, and Commercial Solutions Openings (CSOs) under a single umbrella. This approach is designed to engage a broad range of partners, including traditional and non-traditional defense contractors, educational institutions, and non-profits. Solicitations under ADAM can be either 'Calls for Proposal' with fixed deadlines or 'Open Period' solicitations for continuous submission. Submissions follow a one-step (full proposal) or two-step (white paper followed by invited proposal) process. The evaluation of proposals prioritizes technical merit—including innovation, soundness of approach, and transition potential—followed by cost/price reasonableness. The guide provides detailed instructions on proposal preparation, formatting, page limitations, and specific requirements for data rights, where the government generally expects Unlimited Rights for developed technology, and places strict limitations on commercial software license terms. | N/A | Prakash Rao Emil Rofors Claire Tomlin William Stringfellow Peng Peng Guoying Chen Alex Newkirk Devarshi Ghoshal Sukhpreet Kaur Prabal Dutta Oscar Antepara Vi Rapp Zachary Needell Peter Tennessen Blake Simmons Gregory Lemieux Boxun Hu Eric Masanet Zhi Jackie Yao Thomas Hendrickson | Key Research Areas |
| One-Step Open BAA, US Army Combat Capabilities Development Command (DEVCOM) Indo-Pacific Fundamental Research Collaboration Opportunities |
DEVCOM |
Solicitation |
This document is a model contract (Attachment 1 to BAA FA5209-22-S-0001) for the US Army DEVCOM Indo-Pacific's fundamental research collaboration opportunities. It outlines the terms for a Firm-Fixed-... |
2027-08-30T03:00:00 ET |
Fundamental ResearchApplied ResearchScientific & Technical InformationEngineering ResearchExperimental DevelopmentAdvanced Materials ScienceQuantum Information ScienceArtificial Intelligence ResearchRobotics & Autonomous SystemsAdvanced Energy & PowerSynthetic & Systems BiologySecure Network ScienceComputational Modeling & Simulation |
|
N/A |
AI Summary | Collaboration Graph |
One-Step Open BAA, US Army Combat Capabilities Development Command (DEVCOM) Indo-Pacific Fundamental Research Collaboration Opportunities | DEVCOM | FA520922S0001 | N/A | Fundamental Research | Applied Research | Scientific & Technical Information | Engineering Research | Experimental Development | Advanced Materials Science | Quantum Information Science | Artificial Intelligence Research | Robotics & Autonomous Systems | Advanced Energy & Power | Synthetic & Systems Biology | Secure Network Science | Computational Modeling & Simulation | This document is a model contract (Attachment 1 to BAA FA5209-22-S-0001) for the US Army DEVCOM Indo-Pacific's fundamental research collaboration opportunities. It outlines the terms for a Firm-Fixed-Price (FFP) research and development contract, structured with base and optional line items. The total contract duration, including options, is not to exceed 36 months. Key administrative procedures include electronic invoicing through the Wide Area WorkFlow (WAWF) system and inspection/acceptance by the U.S. Army International Technology Center Pacific (ITC-IPAC). The contract incorporates standard FAR and DFARS clauses, notably FAR 52.227-11, which allows the contractor to retain ownership of patent rights for inventions developed under the contract, subject to the government retaining a nonexclusive, paid-up license. | N/A | Prakash Rao Emil Rofors Adam Slagell John Dueber William Stringfellow Peng Peng Guoying Chen Alex Newkirk Hartmut Haeffner Vi Rapp Kunhwi Kim Kin Yu Blake Simmons Samuel Fernandes Mark Bandstra Ravi Prasher Boxun Hu Eric Masanet Thomas Hendrickson Anthony Ciavarella |
| Kaiju |
AFRL/RYWD |
Presolicitation |
This document is the Contract Data Requirements List (CDRL) for the Air Force Research Laboratory's (AFRL) "Kaiju" Broad Agency Announcement (FA8650-22-S-1004). It outlines seventeen distinct data del... |
2027-05-12T17:00:00 ET |
Autonomous SystemsMulti-Domain SensingSensor Systems EngineeringAutonomy AlgorithmsSoftware EngineeringSoftware Architecture DesignDatabase Design & ArchitectureSystem IntegrationAerospace Systems EngineeringFlight Systems TestingTest & EvaluationSecure Systems EngineeringSensor Data FusionAI / Machine Learning |
|
N/A |
AI Summary | Collaboration Graph |
Kaiju | AFRL/RYWD | FA8650-22-S-1004 | N/A | Autonomous Systems | Multi-Domain Sensing | Sensor Systems Engineering | Autonomy Algorithms | Software Engineering | Software Architecture Design | Database Design & Architecture | System Integration | Aerospace Systems Engineering | Flight Systems Testing | Test & Evaluation | Secure Systems Engineering | Sensor Data Fusion | AI / Machine Learning | This document is the Contract Data Requirements List (CDRL) for the Air Force Research Laboratory's (AFRL) "Kaiju" Broad Agency Announcement (FA8650-22-S-1004). It outlines seventeen distinct data deliverables required from contractors using DD Form 1423-1. These deliverables span the entire project lifecycle, encompassing project management (e.g., status, financial, and planning reports), technical documentation (e.g., software design, user manuals, source code), testing (e.g., flight/taxi test plans), and security (e.g., security plans, personnel updates). A significant emphasis is placed on data security and control, with most deliverables requiring encrypted electronic submission and bearing a Distribution Statement D, which restricts dissemination to the Department of Defense and its contractors. The CDRL also specifies timelines for submission, review, and approval, ensuring comprehensive government oversight of all contract outputs. | N/A | Prakash Rao Seth Carbon Emil Rofors Claire Tomlin William Stringfellow Peng Peng Guoying Chen Alex Newkirk Talita Perciano Costa Leite Vi Rapp Han Lee Blake Simmons Gregory Lemieux Boxun Hu Eric Masanet Michael Sohn Gazi Mahmud Thomas Hendrickson Victor Negut Abdelilah Essiari |
| Resilient Open & Agile Avionics System & Technology Development (ROAASTD) |
AFRL |
Solicitation |
The Air Force Research Laboratory (AFRL), Sensors Directorate, is seeking research proposals for the Resilient Open & Agile Avionics System & Technology Development (ROAASTD) program. The objective is... |
2028-04-19T17:00:00 ET |
Resilient Avionics SystemsOpen Systems ArchitecturesAgile Development ProcessesSensor Systems IntegrationMission Systems DevelopmentSpectrum Warfare TechnologiesElectronic Warfare SystemsRapid Technology IntegrationEmbedded Software DevelopmentPlatform Resilience EngineeringContested Environment TechnologiesModular Systems EngineeringAvionics Technology Research |
|
N/A |
AI Summary | Collaboration Graph |
Resilient Open & Agile Avionics System & Technology Development (ROAASTD) | AFRL | FA8650-23-S-1031 | N/A | Resilient Avionics Systems | Open Systems Architectures | Agile Development Processes | Sensor Systems Integration | Mission Systems Development | Spectrum Warfare Technologies | Electronic Warfare Systems | Rapid Technology Integration | Embedded Software Development | Platform Resilience Engineering | Contested Environment Technologies | Modular Systems Engineering | Avionics Technology Research | The Air Force Research Laboratory (AFRL), Sensors Directorate, is seeking research proposals for the Resilient Open & Agile Avionics System & Technology Development (ROAASTD) program. The objective is to develop and demonstrate new technologies in system and platform resilience, agility, and open systems standards to enable the rapid integration of advanced sensor and mission system capabilities. The program aims to enhance the U.S. Air Force's ability to counter sophisticated adversaries in contested environments. This is a two-step Broad Agency Announcement (BAA) with a total estimated value of $30,000,000, anticipating multiple awards between $3,000,000 and $6,000,000 each. The process begins with a white paper submission, which are accepted through April 19, 2028. Awards are expected to be Cost-Plus-Fixed-Fee (CPFF) contracts with periods of performance from 12-24 months. The program may involve security classifications up to TS/SCI, is subject to export controls, and prohibits foreign participation. The government desires unlimited rights in technical data and software developed under the program. | sarah.ballard@us.af.mil | Prakash Rao Emil Rofors Claire Tomlin William Stringfellow Peng Peng Cory Snavely Guoying Chen Alex Newkirk Steven Hofmeyr Vi Rapp Alexandre Bayen Blake Simmons Gregory Lemieux Boxun Hu Eric Masanet Zhi Jackie Yao Thomas Hendrickson Victor Negut Sunhee Baik |
| Multi-Spectrum Defensive Electronic Warfare (MSDEW) Advanced Research Announcement (ARA) |
AFRL/RYW |
Presolicitation |
The Air Force Research Laboratory (AFRL) has issued the Multi-Spectrum Defensive Electronic Warfare (MSDEW) Advanced Research Announcement (ARA) (FA8650-20-S-1119), which will solicit proposals throug... |
2027-07-13T17:00:00 ET |
Electronic Warfare SystemsMulti-Spectrum Sensor FusionSignal Sensing and TrackingElectro-Optical CountermeasuresDirected Energy Weapon DefenseMissile Warning SystemsModeling and Simulation (M&S)Open Systems ArchitectureCyber-Secure System DesignSensor System IntegrationSignal Processing AlgorithmsSystem Testing and EvaluationFederated EW Bus TechnologyModels-Based Systems Engineering |
Multi-Spectrum Threat Warning and CountermeasuresIntegrated and Open Architecture EW SystemsEW System Modeling, Simulation, and TestingAdvanced EW Signal Processing and Software Development |
BSACSAEESAETALDPSA |
AI Summary | Collaboration Graph |
Multi-Spectrum Defensive Electronic Warfare (MSDEW) Advanced Research Announcement (ARA) | AFRL/RYW | FA8650-20-S-1119 | BSA, CSA, EESA, ETA, LD, PSA | Electronic Warfare Systems | Multi-Spectrum Sensor Fusion | Signal Sensing and Tracking | Electro-Optical Countermeasures | Directed Energy Weapon Defense | Missile Warning Systems | Modeling and Simulation (M&S) | Open Systems Architecture | Cyber-Secure System Design | Sensor System Integration | Signal Processing Algorithms | System Testing and Evaluation | Federated EW Bus Technology | Models-Based Systems Engineering | The Air Force Research Laboratory (AFRL) has issued the Multi-Spectrum Defensive Electronic Warfare (MSDEW) Advanced Research Announcement (ARA) (FA8650-20-S-1119), which will solicit proposals through individual "Calls" until July 13, 2027. The program, with a total estimated value of $396.6M, aims to advance the Air Force's electronic warfare capabilities by developing, integrating, and demonstrating multi-spectrum sensors, systems, and technologies for threat warning and countermeasures in contested environments. The technical scope focuses on leveraging signal sensor technologies across the radio-frequency and electro-optical spectrums. Key technical areas of interest include: Electro-Optic/Multi-Spectrum Countermeasures, Counter-Directed Energy Weapon sensors, Counter-Missile Threat Warning sensors, and Cyber Secure/Open EW Systems. Activities will encompass design, modeling, simulation, integration, testing (laboratory, field, and flight), and software development. Multiple awards are anticipated, with potential contract types including Cost-Reimbursement, IDIQ, and Other Transactions. Most awards are expected to require Top Secret security classification. | robert.desonia@us.af.mil | Marco Salathe Alexander Sim Reynold Cooper Ana Comesana Nicola Falco Peng Peng Alexandre Moreira da Silva Cory Snavely Tae Hwan Lim Travis Walter John Wu Tiffany Connors Andre Santos Michael Wetter Prabal Dutta Daniela Ushizima Shawn Tornga David Blum Alexandre Bayen Koushik Sen Zachary Needell Zhe Bai Bruce Nordman Linqing Luo Nicolas Abgrall Qiang Du Jean Luca Bez Gregory Lemieux Stefan Lasiewski Zhao Hao Russell Wilcox Jessica Granderson Michael Sohn Jayson Vavrek Hasita Veluri Mary Ann Piette Gazi Mahmud Jennifer Stokes-Draut Brennan Less Victor Negut Marco Pritoni Samuel Williams | Multi-Spectrum Threat Warning and Countermeasures | Integrated and Open Architecture EW Systems | EW System Modeling, Simulation, and Testing | Advanced EW Signal Processing and Software Development |
| TACTICAL Broad Agency Announcement (BAA) |
AFRL/RD |
Combined Synopsis/Solicitation |
This document is a five-year, $499 million Broad Agency Announcement (BAA), titled TACTICAL (FA9451-24-S-0001), from the Air Force Research Laboratory (AFRL) Directed Energy Directorate (RD). Its purp... |
2028-11-22T14:00:00 ET |
High Energy Laser SourcesLaser Beam Control & PropagationLaser System IntegrationLaser System Modeling & SimulationLaser Interaction TestingLaser Interaction ModelingLaser Vulnerability AssessmentSatellite Tracking & CharacterizationAdvanced Electro-Optical SensingAI for Space Domain AwarenessHPEM Effects & ModelingHPEM Sources & ComponentsHPEM System ApplicationsDirected Energy Wargaming |
High-Energy Laser (HEL) Systems and EffectsElectro-Optical Space Domain Awareness and CharacterizationHigh-Power Electromagnetics (HPEM) Technology and ApplicationsDirected Energy Wargaming and Mission Analysis |
CSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
TACTICAL Broad Agency Announcement (BAA) | AFRL/RD | FA9451-24-S-0001 | CSA, EESA, ESA, ETA, LD, PSA | High Energy Laser Sources | Laser Beam Control & Propagation | Laser System Integration | Laser System Modeling & Simulation | Laser Interaction Testing | Laser Interaction Modeling | Laser Vulnerability Assessment | Satellite Tracking & Characterization | Advanced Electro-Optical Sensing | AI for Space Domain Awareness | HPEM Effects & Modeling | HPEM Sources & Components | HPEM System Applications | Directed Energy Wargaming | This document is a five-year, $499 million Broad Agency Announcement (BAA), titled TACTICAL (FA9451-24-S-0001), from the Air Force Research Laboratory (AFRL) Directed Energy Directorate (RD). Its purpose is to solicit research proposals to advance the state-of-the-art in directed energy technologies. The BAA operates through a "closed-call" process, meaning proposals are submitted in response to specific "Calls" issued periodically, not against the main BAA. The program has fourteen technical topic areas grouped into four main categories: Laser Systems (sources, beam control, integration, M&S, interaction effects, vulnerability), Space Domain Awareness (satellite characterization, alternate electro-optics, AI/autonomy), High Power Electromagnetics (HPEM) (modeling, sources, applications), and Wargaming. The BAA establishes a two-tiered solicitation process: "Standard Calls" open to all eligible offerors, and "Topic Area Group (TAG) Calls" restricted to pre-qualified vendors for urgent needs. Offerors must adhere to strict S&T Program Protection requirements, including screening for foreign influence, and may need security clearances up to Top Secret. The anticipated awards are FAR-based contracts such as Cost-Plus-Fixed-Fee or Firm-Fixed-Price. | afrl.rdlb.tacticalbaa@us.af.mil | Marco Salathe William Fawley Alessio Amodio Alexander Sim Jean-Luc Vay Olga Shapoval Costas P. Grigoropoulos Nicola Falco Antoine Islegen-Wojdyla Vassilia Zorba Axel Huebl Hao Ding Samuel Barber Hai-En Tsai Alex Newkirk Louis-Benoit Desroches Andre Santos Shawn Tornga Marco Garten Mackinley Kath Fanting Kong Zhe Bai Siyun Chen Brandon Cook Qiang Du Florian Soom Mengjie Yu Cameron Geddes Meriam Gay Bautista-Jurney Zhao Hao Edward Bethel Russell Wilcox Stepan Bulanov Jayson Vavrek Hasita Veluri Zhi Jackie Yao Soren Prestemon Xianglei Mao Sunhee Baik Samuel Williams Davide Terzani | High-Energy Laser (HEL) Systems and Effects | Electro-Optical Space Domain Awareness and Characterization | High-Power Electromagnetics (HPEM) Technology and Applications | Directed Energy Wargaming and Mission Analysis |
| Space Technology Advanced Research (STAR) |
AFRL |
Combined Synopsis/Solicitation |
The Air Force Research Laboratory (AFRL) Space Vehicles Directorate's Space Technology Advanced Research (STAR) program is an Open Advanced Research Announcement (ARA) soliciting proposals for researc... |
2030-03-25T02:00:00 ET |
Space Vehicle SubsystemsDeployable Structures & AperturesOn-Orbit Servicing & ManufacturingSpace Debris MitigationSmall Satellite DevelopmentSpace-Based Sensing TechnologiesIonospheric Modification TechniquesSatellite Communication HardwareResilient PNT ArchitecturesQuantum Sensing & TimingSpace-Based Solar Power TransferModeling & SimulationData Exploitation AlgorithmsAI / Machine LearningSpace Battle Management & C2 |
Advanced Space Vehicle Functionality and LogisticsSpace-Based Mission Capabilities and ServicesSpace System Anomaly Detection, Attribution, and ProtectionSpace Battle Management, Command, and Control (BMC2) |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
Space Technology Advanced Research (STAR) | AFRL | FA9453-19-S-0002 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Space Vehicle Subsystems | Deployable Structures & Apertures | On-Orbit Servicing & Manufacturing | Space Debris Mitigation | Small Satellite Development | Space-Based Sensing Technologies | Ionospheric Modification Techniques | Satellite Communication Hardware | Resilient PNT Architectures | Quantum Sensing & Timing | Space-Based Solar Power Transfer | Modeling & Simulation | Data Exploitation Algorithms | AI / Machine Learning | Space Battle Management & C2 | The Air Force Research Laboratory (AFRL) Space Vehicles Directorate's Space Technology Advanced Research (STAR) program is an Open Advanced Research Announcement (ARA) soliciting proposals for research, development, and experimentation across a wide spectrum of space technologies. This two-step solicitation, starting with a white paper submission, has no fixed due date and anticipates multiple awards ranging from $50,000 to $100,000,000, utilizing various instruments like FAR-based contracts and Other Transactions (OTs). The program's technical focus is divided into four main areas: 1) Enhancing core spacecraft functionality and logistics, including on-orbit servicing, manufacturing, and debris management. 2) Developing new mission effects and capabilities like space-based sensing, resilient Position, Navigation, and Timing (PNT), advanced communications, and space-based solar power. 3) Improving anomaly detection, attribution, and protection for space systems against natural and man-made threats. 4) Advancing Space Battle Management, Command, and Control (BMC2) through data fusion, AI/ML, and autonomy to ensure continuous delivery of space services in contested environments. | daniel.alvarado.12@spaceforce.mil | Prakash Rao Emil Rofors Alexander Sim Marco Salathe Alp Sipahigil Helen Weierbach Oluwamayowa Amusat Cindy Zhu Rohan Adwankar Erhan Saglamyurek Anand Krishnan Prakash Ronald Cohen Peng Peng Sufi Kaur John Wu Louis-Benoit Desroches Andre Santos Shawn Tornga Talita Perciano Costa Leite David Blum Alexandre Bayen Zachary Needell Zhe Bai Holger Mueller Peter Tennessen Nicholas Wenner Sean Peisert Thomas Schenkel Qiang Du Yuan Mei Houjun Tang Eric Masanet Boubacar Kante Jayson Vavrek Thorsten Hellert Gazi Mahmud Stijn (Stan) Wielandt Jennifer Stokes-Draut Arun Persaud Bethany Goldblum Marco Pritoni Yuankun Xu Samuel Williams | Advanced Space Vehicle Functionality and Logistics | Space-Based Mission Capabilities and Services | Space System Anomaly Detection, Attribution, and Protection | Space Battle Management, Command, and Control (BMC2) |
| SPACE TECHNOLOGY ADVANCED RESEARCH-FAST-TRACKING INNOVATIVE SOFTWARE AND HARDWARE (STAR-FISH) ADVANCED RESEARCH ANNOUNCEMENT (ARA) WITH CALLS |
AFRL/RV |
Combined Synopsis/Solicitation |
The Air Force Research Laboratory (AFRL) Space Vehicles Directorate has released the Space Technology Advanced Research-Fast-tracking Innovative Software and Hardware (STAR-FISH) Advanced Research Ann... |
2030-03-23T02:00:00 ET |
Spacecraft Systems & SubsystemsOn-Orbit Servicing & ManufacturingSpace Debris ManagementAdvanced Spacecraft ManufacturingGuidance, Navigation, and Control (GNC)Position, Navigation, and Timing (PNT)Space-Based Sensing TechnologiesAI, Machine Learning & Data FusionModeling, Simulation & AnalysisSatellite Communications & Signal ProcessingSpace Power & Energy SystemsDeployable Structures & Resilient MaterialsSpace System CybersecurityThreat Detection & Anomaly AttributionIonospheric Effects & Modification |
Space Vehicle Functionality and LogisticsMission Effects and CapabilitiesSpace System Anomaly Detection, Attribution, and ProtectionSpace Battle Management, Command, and Control (BMC2) |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
SPACE TECHNOLOGY ADVANCED RESEARCH-FAST-TRACKING INNOVATIVE SOFTWARE AND HARDWARE (STAR-FISH) ADVANCED RESEARCH ANNOUNCEMENT (ARA) WITH CALLS | AFRL/RV | FA9453-21-S-0001 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Spacecraft Systems & Subsystems | On-Orbit Servicing & Manufacturing | Space Debris Management | Advanced Spacecraft Manufacturing | Guidance, Navigation, and Control (GNC) | Position, Navigation, and Timing (PNT) | Space-Based Sensing Technologies | AI, Machine Learning & Data Fusion | Modeling, Simulation & Analysis | Satellite Communications & Signal Processing | Space Power & Energy Systems | Deployable Structures & Resilient Materials | Space System Cybersecurity | Threat Detection & Anomaly Attribution | Ionospheric Effects & Modification | The Air Force Research Laboratory (AFRL) Space Vehicles Directorate has released the Space Technology Advanced Research-Fast-tracking Innovative Software and Hardware (STAR-FISH) Advanced Research Announcement (ARA) (FA9453-21-S-0001). This is an open framework ARA that functions as an umbrella for future opportunities, which will be released as individual "CALLS." No proposals should be submitted against the base ARA. The program seeks research, development, prototyping, and analysis of space-flight technologies. Key technical areas of interest include: 1) Space vehicle functionality and logistics (e.g., large deployable structures, power, autonomy, on-orbit servicing); 2) Mission effects and capabilities (e.g., space-based sensing, PNT, space solar power, communications); 3) Anomaly detection and protection (e.g., threat warning, cyber defense); and 4) Space Battle Management, Command, and Control (BMC2) (e.g., data fusion, AI/ML). CALLS will specify either a one-step (proposal) or two-step (white paper followed by a potential proposal request) process. The government anticipates multiple awards per CALL, with individual award values ranging from $50,000 to $100,000,000, using a mix of instruments like FAR-based contracts and Other Transactions (OTs). The solicitation is unrestricted, but compliance with export control regulations (ITAR/EAR) is mandatory, requiring a certified DD Form 2345 with proposals. | daniel.alvarado.12@spaceforce.mil | Prakash Rao Emil Rofors Alexander Sim Claire Tomlin Alp Sipahigil Marco Salathe Oluwamayowa Amusat Nicola Falco Anand Krishnan Prakash Ronald Cohen Marco Pritoni Jacob Hilzinger Peng Peng Guoying Chen John Wu Louis-Benoit Desroches Tiffany Connors Andre Santos Shawn Tornga Alexandre Bayen Zachary Needell Zhe Bai Chris Dames Peter Tennessen Blake Simmons Sean Peisert Qiang Du Satyarth Praveen Meriam Gay Bautista-Jurney Irfan Siddiqi Edward Bethel Eric Masanet Boubacar Kante Gazi Mahmud Stijn (Stan) Wielandt Jennifer Stokes-Draut Arun Persaud Sunhee Baik Qin Yu Yuankun Xu Samuel Williams | Space Vehicle Functionality and Logistics | Mission Effects and Capabilities | Space System Anomaly Detection, Attribution, and Protection | Space Battle Management, Command, and Control (BMC2) |
| DLA Emergent IV Research and Development Program |
DLA/DLA Contracting Services Office - Philadelphia |
Combined Synopsis/Solicitation |
This document is Amendment 34 to the Defense Logistics Agency's (DLA) Emergent IV Research and Development Broad Agency Announcement (BAA0001-22). Its primary purpose is to update and refine the Areas... |
2027-06-12T17:00:00 ET |
Medical Supply Chain AnalyticsAdvanced & Additive ManufacturingDigital Engineering & TwinningArtificial Intelligence & Machine LearningInternet of Things (IoT) LogisticsAnti-Counterfeiting TechnologiesRenewable Energy & StorageAlternative & Synthetic FuelsPredictive Analytics & ModelingAutonomous Logistics SystemsLithium Battery DeactivationBlockchain for Supply ChainEdge Computing ArchitecturesHuman-Machine TeamingAdvanced Cementitious Materials |
AI-Driven Digital Transformation of LogisticsAdvanced Manufacturing and Materials ScienceSupply Chain Security and ResilienceSustainable and Resilient Energy LogisticsSmart Logistics, IoT, and AutomationTechnology Transition and Adoption Strategy |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
DLA Emergent IV Research and Development Program | DLA/DLA Contracting Services Office - Philadelphia | BAA0001-22_ | BSA, CSA, EESA, ESA, ETA, LD, PSA | Medical Supply Chain Analytics | Advanced & Additive Manufacturing | Digital Engineering & Twinning | Artificial Intelligence & Machine Learning | Internet of Things (IoT) Logistics | Anti-Counterfeiting Technologies | Renewable Energy & Storage | Alternative & Synthetic Fuels | Predictive Analytics & Modeling | Autonomous Logistics Systems | Lithium Battery Deactivation | Blockchain for Supply Chain | Edge Computing Architectures | Human-Machine Teaming | Advanced Cementitious Materials | This document is Amendment 34 to the Defense Logistics Agency's (DLA) Emergent IV Research and Development Broad Agency Announcement (BAA0001-22). Its primary purpose is to update and refine the Areas of Interest (AOIs) for which DLA is seeking R&D proposals. Key technical updates include: revising the Advanced Manufacturing task area to focus on intellectual property, digital verification, and source approval for additive manufacturing; expanding the Energy Research program with a new AOI for "Operational Energy Integration" focused on resilient fuel logistics in contested environments; and adding new research topics under Human-Machine Teaming for extending the shelf life of Calcium Sulfoaluminate (CSA) cement and advancing tamper-detection seals. The amendment also details ongoing interests in medical logistics, digital engineering (including digital twins), AI/ML, anti-counterfeiting, and blockchain, while updating several technical points of contact. | Imes Chiu | Prakash Rao Minok Park Alexander Sim Han Li Cindy Zhu Michael Tucker Matthias Sulzer Rohan Adwankar Nihan Karali Anand Krishnan Prakash Peng Peng Alexandre Moreira da Silva Neel Rajeshbhai Vora Danielle Svehla Christianson Guoying Chen Anubhav Jain Alex Newkirk Michael Whittaker John Wu Margaret Taylor Yanbao Fu Carolin Sutter-Fella Nica Campbell Susan Shaheen Muhammad Ihsan Ul Haq Stephen Harris Franco Zunino Unique Karki Peter Hosemann Nicholas DeForest Samveg Saxena Drew Paine Eric O'Shaughnessy Laleh Cote' Bo Shen Bryan Mccloskey Jean Luca Bez Kristina S. H. LaCommare Ravi Prasher Boxun Hu Daryl Chrzan Hasita Veluri Gazi Mahmud Andrew Haddad Thomas Hendrickson Jennifer Stokes-Draut Chun Chang Georgios Michelogiannakis Jeetika Malik Xiong Peng Sunhee Baik Marco Pritoni Donghun Kim Oluwamayowa Amusat Daniel Arnold | AI-Driven Digital Transformation of Logistics | Advanced Manufacturing and Materials Science | Supply Chain Security and Resilience | Sustainable and Resilient Energy Logistics | Smart Logistics, IoT, and Automation | Technology Transition and Adoption Strategy |
| Advanced Cyber Operations Prototypes (A-COP) |
AFRL/RIGA |
Presolicitation |
The Department of the Air Force, via the Air Force Research Laboratory (AFRL), is seeking proposals for the Advanced Cyber Operations Prototypes (A-COP) program. This is an open, two-step Advanced Res... |
2028-12-30T18:00:00 ET |
Cyber Platform PrototypingAutonomous Cyber DefenseCyber Situational AwarenessSIGINT / EW / Cyber ConvergenceMachine Learning for CyberMobile & Embedded Device SecurityCloud Security ArchitecturesTrusted Hardware & SoftwareFormal Methods & Code AnalysisZero Trust ArchitecturesCyber ISR & Analytical FusionCyber Modeling & SimulationCyber Stealth & PersistenceNetwork Protocol AnalysisCyber Effects & Deception |
Assured and Resilient Cyber InfrastructureDynamic Command & Control (C2) and Mission AssuranceUnified Situational Awareness and UnderstandingAutomated and Effects-Based Cyber DefenseConverged SIGINT, EW, and Cyber Operations |
BSACSAEESAESAETALD |
AI Summary | Collaboration Graph |
Advanced Cyber Operations Prototypes (A-COP) | AFRL/RIGA | FA8750-24-S-7001 | BSA, CSA, EESA, ESA, ETA, LD | Cyber Platform Prototyping | Autonomous Cyber Defense | Cyber Situational Awareness | SIGINT / EW / Cyber Convergence | Machine Learning for Cyber | Mobile & Embedded Device Security | Cloud Security Architectures | Trusted Hardware & Software | Formal Methods & Code Analysis | Zero Trust Architectures | Cyber ISR & Analytical Fusion | Cyber Modeling & Simulation | Cyber Stealth & Persistence | Network Protocol Analysis | Cyber Effects & Deception | The Department of the Air Force, via the Air Force Research Laboratory (AFRL), is seeking proposals for the Advanced Cyber Operations Prototypes (A-COP) program. This is an open, two-step Advanced Research Announcement (ARA) with a total funding ceiling of $949.9 million, running until December 30, 2028. The program aims to research, design, and develop next-generation cyber prototypes for transition into operational DoD platforms to ensure cyber superiority. Key technical areas include assured and trusted cyber infrastructure, continuous situational awareness, effects-based defenses, and the convergence of Signals Intelligence (SIGINT), Electronic Warfare (EW), and Cyber Operations. Technologies of interest are broad, spanning cloud architectures, machine learning, zero trust computing, mobile/embedded security, and cyber modeling. The submission process begins with a 4-5 page white paper, with formal proposals by invitation only. Awards will be contracts or Other Transactions (OTs), typically ranging from $10M to $50M over a period of up to 60 months. | Thomas Parisi | Alexander Sim Alp Sipahigil Adam Slagell Anand Krishnan Prakash Dipak Ghosal Danielle Svehla Christianson Sufi Kaur Jason Lowe-Power Alex Newkirk John Wu Tiffany Connors Andre Santos Vern Paxson Shawn Tornga Steven Hofmeyr Koushik Sen Alexandre Bayen Angelos Ioannou Zachary Needell Ana Kupresanin Zhe Bai Drew Paine Brandon Cook Khaled Ibrahim Sean Peisert Dan Bonachea Stefan Lasiewski Nestor Demeure Vinay Sawal Edward Bethel Gazi Mahmud Stijn (Stan) Wielandt Hannah Cohoon Bruce Mah Georgios Michelogiannakis Sunhee Baik Abdelilah Essiari Oluwamayowa Amusat | Assured and Resilient Cyber Infrastructure | Dynamic Command & Control (C2) and Mission Assurance | Unified Situational Awareness and Understanding | Automated and Effects-Based Cyber Defense | Converged SIGINT, EW, and Cyber Operations |
| BROAD AGENCY ANNOUNCEMENT (BAA)- Research and Development (R&D) for Air Force Airbase Systems |
AFCEC/AFCEC/CXA |
Solicitation |
The Air Force Civil Engineer Center (AFCEC) seeks research and development proposals under Broad Agency Announcement (BAA) FA8051-24-S-0001 for Air Force Airbase Systems. This is a five-year, closed, ... |
2030-03-07T17:00:00 ET |
Engineered Timber StructuresBlast and Impact ModelingPFAS Destruction TechnologiesArctic Infrastructure EngineeringRobotics and Autonomous SystemsExpeditionary Infrastructure SystemsAdditive Construction (3D Printing)Non-Destructive Evaluation TechnologiesAdvanced Civil Engineering MaterialsComputational Materials ScienceFire Suppression ScienceSensors and Data FusionAI / Machine Learning AlgorithmsExpeditionary Energy SystemsContaminant Transport Modeling |
Advanced Materials and Construction for Expeditionary EnvironmentsRobotics, Automation, and Intelligent Systems for Airbase OperationsEnvironmental Systems and Contaminant RemediationResilient Airbase Infrastructure, Energy, and UtilitiesForce Protection, Emergency Response, and Hazard Mitigation |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
BROAD AGENCY ANNOUNCEMENT (BAA)- Research and Development (R&D) for Air Force Airbase Systems | AFCEC/AFCEC/CXA | FA8051-24-S-0001 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Engineered Timber Structures | Blast and Impact Modeling | PFAS Destruction Technologies | Arctic Infrastructure Engineering | Robotics and Autonomous Systems | Expeditionary Infrastructure Systems | Additive Construction (3D Printing) | Non-Destructive Evaluation Technologies | Advanced Civil Engineering Materials | Computational Materials Science | Fire Suppression Science | Sensors and Data Fusion | AI / Machine Learning Algorithms | Expeditionary Energy Systems | Contaminant Transport Modeling | The Air Force Civil Engineer Center (AFCEC) seeks research and development proposals under Broad Agency Announcement (BAA) FA8051-24-S-0001 for Air Force Airbase Systems. This is a five-year, closed, two-step BAA with a total funding ceiling of $49 million, where the government will issue specific 'CALLs' for white papers. The program's objective is to advance technologies supporting expeditionary engineering, emergency services, EOD, and emergency management. Key technical areas of interest include: modern timber for expeditionary construction; PFAS destruction technologies; arctic-capable structures and utilities; automated heavy machinery; rapid airbase establishment ('base-in-a-box'); advanced civil engineering materials; improvements in airbase operations and emergency response; infrastructure protection and blast mitigation; robotics and automation for security and EOD; and resilient energy, water, and waste management systems for deployed environments. | toby.carnes.1@us.af.mil | Francesco Ricci Dipankar Dwivedi Rohan Adwankar Haruko Wainwright Nicola Falco Anand Krishnan Prakash William Stringfellow Peng Peng Guoying Chen Andre Santos Mamun Miah Talita Perciano Costa Leite David Blum Vi Rapp Kunhwi Kim Zhe Bai Franco Zunino Unique Karki Peter Hosemann Weiping Huang David McCallen Peter Tennessen Linqing Luo Valentina Dai Simo Makiharju Jinwoo Im Cynthia Regnier Hafssa Tounsi Yilun Xu Eric Masanet Michael Sohn Wenming Dong Wenchao Lu Dana Hernandez Mary Ann Piette Gazi Mahmud Boris Faybishenko Thomas Hendrickson Jennifer Stokes-Draut Chun Chang Brennan Less Kenichi Soga Jeetika Malik Sunhee Baik Marco Pritoni Donghun Kim Oluwamayowa Amusat | Advanced Materials and Construction for Expeditionary Environments | Robotics, Automation, and Intelligent Systems for Airbase Operations | Environmental Systems and Contaminant Remediation | Resilient Airbase Infrastructure, Energy, and Utilities | Force Protection, Emergency Response, and Hazard Mitigation |
| MULTI-SOURCE, MULTI-DOMAIN DATA EXPLOITATION FOR BATTLESPACE AWARENESS AND DECISION SUPPORT |
AFRL/RI |
Presolicitation |
This Broad Agency Announcement (BAA FA8750-21-S-7004) from the Air Force Research Laboratory (AFRL) seeks to fund research and development of technologies for multi-source, multi-domain data exploitat... |
N/A |
Multi-Source Data ExploitationMulti-Domain Data ProcessingRemote Sensing Data AnalysisAutomated Decision SupportCourse of Action (COA) DevelopmentBattlespace Awareness SystemsMulti-Sensor Data FusionDevSecOps MethodologiesAutomated Cybersecurity AssuranceExploitation Algorithm DevelopmentCommon Operating Picture (COP) EnhancementRapid Capability PrototypingSoftware Architecture EnhancementContinuous ATO (C-ATO) Platforms |
Multi-Domain Data Fusion and ExploitationAutomated Decision Support and VisualizationDevSecOps for Rapid Capability Deployment |
BSACSAEESAESAETALDPSA |
AI Summary | Collaboration Graph |
MULTI-SOURCE, MULTI-DOMAIN DATA EXPLOITATION FOR BATTLESPACE AWARENESS AND DECISION SUPPORT | AFRL/RI | FA875021S7004 | BSA, CSA, EESA, ESA, ETA, LD, PSA | Multi-Source Data Exploitation | Multi-Domain Data Processing | Remote Sensing Data Analysis | Automated Decision Support | Course of Action (COA) Development | Battlespace Awareness Systems | Multi-Sensor Data Fusion | DevSecOps Methodologies | Automated Cybersecurity Assurance | Exploitation Algorithm Development | Common Operating Picture (COP) Enhancement | Rapid Capability Prototyping | Software Architecture Enhancement | Continuous ATO (C-ATO) Platforms | This Broad Agency Announcement (BAA FA8750-21-S-7004) from the Air Force Research Laboratory (AFRL) seeks to fund research and development of technologies for multi-source, multi-domain data exploitation to improve battlespace awareness and decision support. The primary objectives are to process and exploit data to derive actionable information and to leverage DevSecOps methodologies for rapid, automated, and secure software delivery. The program has an estimated total funding of $49M, with individual awards typically ranging from $500K to $5M over a 48-month period. The BAA is a two-step process, requiring a white paper submission for initial consideration, with formal proposals accepted by invitation only. The desired Technology Readiness Level (TRL) for proposed solutions is 3-6. The announcement is generally closed to foreign participation and is open until January 30, 2026. | Carolyn Sheaff | Marco Salathe Alexander Sim Xiaoya Chong Adam Slagell Nicola Falco Karlo Berket Danielle Svehla Christianson Alexandre Moreira da Silva Jovan Tadic Sufi Kaur Tiffany Connors Oscar Antepara Shawn Tornga Sarah Poon Alexandre Bayen Angelos Ioannou Zhe Bai Drew Paine Peter Tennessen Sean Peisert Satyarth Praveen Florian Soom Stefan Lasiewski Gregory Lemieux Chris Harris Edward Bethel Houjun Tang Gazi Mahmud Hannah Cohoon Victor Negut Anna Giannakou Charuleka Varadharajan Marco Pritoni Oluwamayowa Amusat Cody O'Donnell | Multi-Domain Data Fusion and Exploitation | Automated Decision Support and Visualization | DevSecOps for Rapid Capability Deployment |
