SBIR/STTR Research Award

Computational Models for Effects-based Operations in Special Forces Teams: Tool for Effects-based Allocation Modeling (TEAM)

Award identifier 7868e4150d12616a6e0914d23ef235d2e988e5acc693b10c36e10e7299103a47Awarding agency Department of Defense · Navy

Award amount

$99,961

Program and phase

SBIR · Phase I

Award year

2007

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
PACIFIC SCIENCE & ENGINEERING GROUP, INC.
Proposal award date
2007-04-13
Contract end date
2008-03-12
UEI
JNJDX2LYQ9L9
Solicitation number
2007.1
Topic code
N07-087

Research abstract

Pacific Science & Engineering Group (PSE) proposes the Tool for Effects-Based Allocation Modeling (TEAM) to address the gap in determining the impact of unit assignment on task outcome effects. The goal of this system is to inform planners on how to shape the operational courses of action (COAs) through unit assignment to better meet the mission objectives. TEAM will follow a two-step process to assign units to mission tasks and to assess the effect in the operational environment. The first step in the process will perform task-unit allocation based on an extended attribute set; not only the capability requirements of the task, but also attributes that characterize different outcomes of how the task is performed and perceived. The second step in the process will provide effects-based feedback to the COA development based on projected impacts of different unit assignments; the model will predict whether these parameters produce significant changes in performance in the operational environment and how these changes are predicted to be perceived by a local observer. The system links the characteristics of the assigned unit to the outcome effects of the operational tasks and will allow iteration between the two modules to complete effects-based planning.

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

56 SBIR/STTR records share this UEI (1990–2025). Reported award amounts total $30,109,713. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Energy, Department of Health and Human Services

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.