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

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-07-M-0178
Agency Tracking Number: N071-087-0008
Amount: $99,961.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N07-087
Solicitation Number: 2007.1
Solicitation Year: 2007
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-04-13
Award End Date (Contract End Date): 2008-03-12
Small Business Information
9180 Brown Deer Road
San Diego, CA 92121
United States
DUNS: 131182388
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Holly A.H. Handley
 Principal Investigator
 (858) 535-1661
Business Contact
 James Callan
Title: President
Phone: (858) 535-1661
Research Institution

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.

* Information listed above is at the time of submission. *

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