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COMPOSABLE COLLABORATIVE PLANNING

Solicitation ID: FA875021S7003

Agency: AFRL/RISB

Type: Presolicitation
Deadline: N/A
Eligibility: Maybe (Dual Approval Required)
Funding: Total funding is approximately $24.5M. Individual awards normally range from $500,000 to $2,000,000 per Technical Area, with a limit of $4,000,000 for proposals against both Technical Areas.
Doc Type: BAA
Clearance: TS/SCI
Program Manager: Aaron McVay
Last Updated: 2025-11-24 13:09
Analyzed File: 21-03 Amend 1 first repub.docx

Eligibility Reasoning

Federally Funded Research and Development Centers (FFRDCs)... cannot propose to this BAA in any capacity unless they meet the following conditions: 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

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.

Overall Technical Areas

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

Probable LBNL Areas

BSACSAETA

Focus Areas

Example Priorities:
  • SCMA involves concepts needed to define the distinct roles of planners as well as allowing for the capturing and execution of an organization’s planning process.
  • It will provide the mechanisms to define the methods for identifying, tracking, and managing resource and scheduling changes and dependencies across all planning phases.
  • SCMA has to provide a mechanism for the planning organization to model planners as computational units with a rich Input/Output (I/O) description, allowing plan data, planning process, and planner roles to be part of a single, cohesive model for planning.
  • SCMA will support interoperability with existing planning tools and Systems of Record (SoRs).
  • SCMA should allow monitoring of overall plan progression. Through the knowledge graph such instrumentation and tracking can be made possible.
Specific Technical Skills:
Knowledge GraphsData ModelingWorkflow ManagementSystems InteroperabilityDependency TrackingConstraint ManagementConcurrent SystemsProcess CodificationGraphQL
Potential PIs for this Area:
NameScoreOrganization
Danielle Svehla Christianson0.70CSA | SciData | Data Science Applications
Gazi Mahmud0.69BSA | Environmental Genomics & Systems Biology | Molecular Ecosystems Bio
Shreyas Cholia0.69CSA | SciData | Data Science Applications
Karlo Berket0.68CSA | SciData | Data Science Applications
Hannah Cohoon0.68CSA | SciData | Data Science Applications
Chris Mungall0.68BSA | Environmental Genomics & Systems Biology | BioSystems Data Science
Brandon Cook0.68CSA | NERSC | HPC Technology Department
Dan Bonachea0.68CSA | AMCR | Computer Science
Deborah Bard0.68CSA | NERSC | Sci Eng & Workflows Department
Drew Paine0.68CSA | SciData | Data Science Applications
Example Priorities:
  • TTP is the means for presenting role-specific plan information to the planner and the creation of human-machine interfaces for interacting with local and linked plans.
  • The solution should leverage the planner role Input/Output (I/O) definitions to provide access to the appropriate plan data to the planner based on their role and the tasks they are completing.
  • TTP is the mechanism that provides data in visual representations based on information visualization principles and practices, organizational requirements, and individual user preferences.
  • Logistics data needs to be made available to operational planners in forms that are easily understandable, so that logistical considerations are incorporated in the initial plan iterations.
  • A user-interface will be provided to allow the organization to define the planning process and planner roles.
Specific Technical Skills:
Human-Machine Interface DesignInformation VisualizationUser Interface (UI) DevelopmentUser Experience (UX) DesignWeb-based ApplicationsRole-Based ViewsDashboard DevelopmentGraphical Process ModelingData Representation
Potential PIs for this Area:
NameScoreOrganization
Sarah Poon0.73CSA | SciData | Data Science Applications
Cody O'Donnell0.71CSA | SciData | Data Science Applications
Drew Paine0.71CSA | SciData | Data Science Applications
Danielle Svehla Christianson0.70CSA | SciData | Data Science Applications
Rajshree Deshmukh0.70CSA | SciData | Data Science Applications
Hannah Cohoon0.70CSA | SciData | Data Science Applications
Gazi Mahmud0.69BSA | Environmental Genomics & Systems Biology | Molecular Ecosystems Bio
Sufi Kaur0.69CSA | SciData | Data Science Applications
Marco Pritoni0.69ETA | Building Technology & Urban Systems | Bldg Technologies Dept
Annette Greiner0.68CSA | NERSC | Sci Eng & Workflows Department

Potential LBNL PIs (Overall)

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

NameScoreOrganization
Scott Baden0.76CSA | AMCR | Computer Science · Parallel Processing Algorithms
Cristian Poliziani0.74ETA | Energy Analysis | Systems & Energy Tech Analysis · Logistics Planning Systems
Sarah Poon0.73CSA | SciData | Data Science Applications · Human-Machine Interface Design
George Robb III0.73CSA | ESNET | Networking Services · System Performance Instrumentation
Drew Paine0.72CSA | SciData | Data Science Applications · Collaborative Planning Systems
Devarshi Ghoshal0.72CSA | SciData | Data Science Applications · Data Consistency Management
Stefan Lasiewski0.72CSA | NERSC | HPC Technology Department · System Interoperability & APIs
Annette Greiner0.72CSA | NERSC | Sci Eng & Workflows Department · Information Visualization
Anna Giannakou0.72CSA | SciData | Data Science Applications · Workflow & Process Modeling
Harry Caufield0.72BSA | Env. Genomics & Sys. Biology | BioSystems Data Science · Knowledge Graph Technologies

Fundamental Research Exemption (FRE)

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.