ONHS Report: FA875021S7004

MULTI-SOURCE, MULTI-DOMAIN DATA EXPLOITATION FOR BATTLESPACE AWARENESS AND DECISION SUPPORT

Solicitation ID: FA875021S7004

Agency: AFRL/RI

Type: Presolicitation

Deadline: N/A

Eligibility: Maybe (Dual Approval Required)

Funding: Total funding for this BAA is approximately $49M. Individual awards will normally range from $500K to $5M, with the potential for awards up to the available BAA ceiling amount.

Doc Type: BAA

Clearance: TS/SCI

Program Manager: Carolyn Sheaff

Last Updated: 2025-11-24 13:24

Analyzed File: BAA 21-04 Amend 5 third repub.docx

Eligibility Reasoning

FFRDCs must clearly demonstrate that the proposed work is not otherwise available from the private sector; and FFRDCs must provide a letter on official letterhead from their sponsoring organization citing the specific authority establishing their eligibility to propose to Government solicitations and compete with industry... FFRDC and Government entity eligibility will be determined on a case-by-case basis...

Note: This is an AI-generated summary...

Summary

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.

Overall Technical Areas

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

Probable LBNL Areas

BSACSAEESAESAETALDPSA

Focus Areas

Example Priorities:

Fusing, assessing and characterizing data from legacy sensors, new sensors and information sources, and delivering actionable information at the various security levels to support broadest reach across the Warfighting community
Process and exploit multi-source, multi-domain Remote Sensing data to improve Battlespace Awareness and derive actionable information

Specific Technical Skills:

Remote SensingSensor FusionData ExploitationAlgorithm DevelopmentMachine LearningSignal ProcessingBattlespace AwarenessActionable IntelligenceMulti-Source Data Analysis

Potential PIs for this Area:

Name	Score	Organization
Shawn Tornga	0.71	LD \| LD \| ONHS
Nicola Falco	0.70	EESA \| CESD \| Integrated Ecosystem Sciences
Zhe Bai	0.70	CSA \| AMCR \| Computer Science
Alexander Sim	0.70	CSA \| SciData \| Data Science Research
Marco Salathe	0.69	PSA \| NSD \| ANP
Gazi Mahmud	0.69	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Edward Bethel	0.69	CSA \| SciData \| Data Science Research
Xiaoya Chong	0.69	ESA \| ALS \| PS Computing staff
Florian Soom	0.68	EESA \| EG \| Geophysics Dept
Charuleka Varadharajan	0.68	EESA \| EG \| Geochemistry Dept

Example Priorities:

Enhancing a Common Operating Picture (COP) for decision makers and stakeholders that can display multi-dimensional information to improve collaboration, planning activities, and information sharing
Developing tools with tailorable levels of automation within the decision support and COA development loop that can be implemented by users on-demand
reduce decision support timelines for Course of Action (COA) execution

Specific Technical Skills:

Decision Support SystemsCommon Operating Picture (COP)Process AutomationCourse of Action (COA) AnalysisData VisualizationHuman-Machine InterfaceCollaborative PlanningUser Interface Design

Potential PIs for this Area:

Name	Score	Organization
Sarah Poon	0.70	CSA \| SciData \| Data Science Applications
Drew Paine	0.70	CSA \| SciData \| Data Science Applications
Marco Pritoni	0.69	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Oluwamayowa Amusat	0.68	CSA \| SciData \| Data Science Applications
Hannah Cohoon	0.68	CSA \| SciData \| Data Science Applications
Danielle Svehla Christianson	0.68	CSA \| SciData \| Data Science Applications
Cody O'Donnell	0.68	CSA \| SciData \| Data Science Applications
Gazi Mahmud	0.68	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Sufi Kaur	0.68	CSA \| SciData \| Data Science Applications
Alexandre Moreira da Silva	0.67	ETA \| ESDR \| Energy Storage & Dist Dpt

Example Priorities:

Leverage non-traditional software application development methodologies and DoD-sponsored Development, Security, Operations (DevSecOps) practices to automate processes including security and cybersecurity assurance, increase the cadence of feature enhancements...
Rapid identification, prioritization and implementation of capability features that address operational user needs.
Continually merge new capabilities and architectural enhancements into software application research and development environments in order to improve system performance and mitigate security risks
Demonstrate and enhance capabilities to develop and test data exploitation application prototypes, mature technology readiness levels (TRL), and transition applications to operational environments

Specific Technical Skills:

DevSecOpsAgile DevelopmentContinuous Integration/Continuous Deployment (CI/CD)Automated SecurityCybersecurity AssuranceContinuous Authority to Operate (C-ATO)Rapid PrototypingTechnology TransitionSoftware ArchitectureTechnology Readiness Level (TRL) Maturation

Potential PIs for this Area:

Name	Score	Organization
Sean Peisert	0.68	CSA \| SciData \| Data Science Applications
Stefan Lasiewski	0.67	CSA \| NERSC \| HPC Technology Department
Gazi Mahmud	0.67	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Gregory Lemieux	0.67	EESA \| CESD \| Earth System Sciences
Hannah Cohoon	0.67	CSA \| SciData \| Data Science Applications
Karlo Berket	0.67	CSA \| SciData \| Data Science Applications
Sufi Kaur	0.67	CSA \| SciData \| Data Science Applications
Angelos Ioannou	0.66	CSA \| AMCR \| Computer Science
Adam Slagell	0.66	CSA \| Scientific Networking (ESNET) \| Security
Danielle Svehla Christianson	0.66	CSA \| SciData \| Data Science Applications

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

Name	Score	Organization
Jovan Tadic	0.75	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Remote Sensing Data Analysis
Houjun Tang	0.75	CSA \| SciData \| Data Science Applications · Multi-Domain Data Processing
Tiffany Connors	0.74	CSA \| NERSC \| Data Center Department · Automated Cybersecurity Assurance
Victor Negut	0.73	PSA \| NSD \| ANP · Multi-Sensor Data Fusion
Anna Giannakou	0.73	CSA \| SciData \| Data Science Applications · Automated Decision Support
Chris Harris	0.73	CSA \| NERSC \| Sci Eng & Workflows Department · Software Architecture Enhancement
Alexandre Bayen	0.73	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Battlespace Awareness Systems
Oscar Antepara	0.73	CSA \| AMCR \| Computer Science · Exploitation Algorithm Development
Satyarth Praveen	0.73	CSA \| SciData \| Data Science Applications · Multi-Source Data Exploitation
Peter Tennessen	0.72	PSA \| Engineering \| Mechanical Engineering · Rapid Capability Prototyping

Fundamental Research Exemption (FRE)

Foreign Nationals as Employees or Subcontractors. Applicable to any effort not considered Fundamental Research. Offerors are responsible for ensuring that all employees and/or subcontractors who will work on a resulting contract are eligible to do so. Any employee who is not a U.S. citizen or a permanent resident will be restricted from working on any resultant contract unless prior approval of the Department of State or the Department of Commerce is obtained via a technical assistance agreement or an export license. Violations of these regulations can result in criminal or civil penalties.