SBIR/STTR Research Award

Joint Air Scheduling and Planning Software

Award identifier 93854cba14793e5ec6f89cf7acf473fc089556094e165588aed6a86001bfc86fAwarding agency Department of Defense · Air Force

Award amount

$156,469

Program and phase

STTR · Phase I

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
SYSTEMS ENGINEERING INC
Proposal award date
2021-12-15
Contract end date
2022-05-15
UEI
MMHGLU3W7C61
Solicitation number
21.B
Topic code
AF21B-T001

Research abstract

Artificial Intelligence / Machine Learning (AI/ML) has become the next arms race in the realm of geopolitical competition. Though much focus is given to “killer robots,” the history of warfare has demonstrated the thread that connects tactical capability with strategic success is tenuous at best.  Additionally, the ability to project power as effectively and efficiently as possible has long been the central pillar of the United States’ foreign policy approach. Therefore, U.S.’s geopolitical success hinges on its ability to plan before combat effectively. Therefore, Systems Engineering (SEI) and its team (Mid-Atlantic Defense Solutions and Virginia Tech) propose applying AI/ML at the operational/strategic planning and wargaming level, where we believe it will have the most significant impact within the Department of Defense and the United States Air Force. To this end, our team proposes to develop the Joint Air Scheduling and Plaining Software (JASP), an application aimed at developing the insight and perspective of operational and strategic planners. Operational and Strategic planning is a Hierarchical, Heterogeneous problem, where planners must identify the force capability, composition, location, and size required to fulfill the commander’s intent.  Deployed force must then use its resources optimally to execute missions to successfully support the commander’s intent. SEI and its team will develop the Joint Air Scheduling and Plaining Software, a dynamic that will provide strategic insight. Our solution leverages Command: Modern Operation (CMO), a commercial video game, and a military simulator. We will integrate CMO with custom machine learning and artificial intelligence software, which will allow operational and strategic planners to rapidly simulate various scenarios and identify the required force composition that most efficiently and effectively executes a campaign. The goal of JASP is to help operational and strategic planners identify the capability, force composition, and force size required to effectively and efficiently counter U.S. adversaries.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

17 SBIR/STTR records share this UEI (1983–2024). Reported award amounts total $3,442,797. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Homeland Security, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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