Solicitation ID: FA875022S7001
Agency: AFRL/Information Directorate
Federally Funded Research and Development Centers (FFRDCs) and Government entities... cannot propose to this BAA in any capacity unless they meet the following conditions: FFRDCs: 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... FFRDC and Government entity eligibility will be determined on a case-by-case basis...
Note: This is an AI-generated summary...
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.
| Name | Score | Organization |
|---|---|---|
| Oluwamayowa Amusat | 0.69 | CSA | SciData | Data Science Applications |
| Alexandre Moreira da Silva | 0.68 | ETA | ESDR | Energy Storage & Dist Dpt |
| Juan Pablo Carvallo | 0.67 | ETA | Energy Analysis & Environmental Impacts | Energy Markets & Policy |
| Sunhee Baik | 0.67 | ETA | Energy Analysis & Environmental Impacts | Energy Markets & Policy |
| Anand Krishnan Prakash | 0.67 | ETA | Building Technology & Urban Systems | Bldg Technologies Dept |
| Julie Mulvaney Kemp | 0.66 | ETA | Energy Analysis & Environmental Impacts | Energy Markets & Policy |
| Gazi Mahmud | 0.66 | BSA | Environmental Genomics & Systems Biology | Molecular Ecosystems Bio |
| Stefan M. Wild | 0.66 | CSA | Computing |
| Jean Luca Bez | 0.66 | CSA | SciData | Data Science Research |
| Haitam Laarabi | 0.66 | ETA | Energy Analysis & Environmental Impacts | Sustainable Energy Dept |
| Name | Score | Organization |
|---|---|---|
| Danielle Svehla Christianson | 0.69 | CSA | SciData | Data Science Applications |
| Marco Pritoni | 0.69 | ETA | Building Technology & Urban Systems | Bldg Technologies Dept |
| Alexander Sim | 0.69 | CSA | SciData | Data Science Research |
| Haitam Laarabi | 0.69 | ETA | Energy Analysis & Environmental Impacts | Sustainable Energy Dept |
| Chris Harris | 0.68 | CSA | NERSC | Sci Eng & Workflows Department |
| Gazi Mahmud | 0.68 | BSA | Environmental Genomics & Systems Biology | Molecular Ecosystems Bio |
| Tianzhen Hong | 0.67 | ETA | Building Technology & Urban Systems | Bldg Technologies Dept |
| Hannah Cohoon | 0.67 | CSA | SciData | Data Science Applications |
| Edward Bethel | 0.67 | CSA | SciData | Data Science Research |
| Cody O'Donnell | 0.67 | CSA | SciData | Data Science Applications |
Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.
| Name | Score | Organization |
|---|---|---|
| Cees De Laat | 0.76 | CSA | ESNET | Tech Adv and Engagement · Scalable Data Architectures |
| Venkatesh Akella | 0.76 | CSA | SciData | Data Science Applications · Scalable Data Architectures |
| Peter Tennessen | 0.73 | PSA | Engineering | Mechanical Engineering · Rapid Technology Prototyping |
| Anna Giannakou | 0.73 | CSA | SciData | Data Science Applications · Predictive Outcome Analysis |
| Hannah Cohoon | 0.72 | CSA | SciData | Data Science Applications · Human-Centered Visual Interfaces |
| Tianzhen Hong | 0.72 | ETA | Building Tech. & Urban Sys. | Bldg Technologies Dept · AI Behavior Modeling |
| Drew Paine | 0.72 | CSA | SciData | Data Science Applications · Human-AI Collaborative Systems |
| Marta Gonzalez | 0.72 | ETA | Energy Analysis | Systems & Energy Tech Analysis · Real-time Plan Analytics |
| Alexandre Bayen | 0.72 | ETA | Energy Analysis | Systems & Energy Tech Analysis · Course of Action Analysis |
| Cristian Poliziani | 0.71 | ETA | Energy Analysis | Systems & Energy Tech Analysis · Automated Plan Synthesis |
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.