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TeamBuilder: Assembling Ad Hoc Virtual Teams to Respond to Emergent Demands

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-07-C-4510
Agency Tracking Number: F061-072-1343
Amount: $749,999.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF06-072
Solicitation Number: 2006.1
Timeline
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-03-22
Award End Date (Contract End Date): 2009-03-22
Small Business Information
12 Gill Street Suite 1400
Woburn, MA 01801
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kara Orvis
 I/O Psychologist
 (781) 935-3966
 korvis@aptima.com
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2424
Email: clancy@aptima.com
Research Institution
N/A
Abstract

The environment which the US military must operate has grown increasingly complex. Successful command hinges on the ability to quickly assemble and assign capable teams to cope with emergent demands, often across barriers of time and space. It is imperative that a commander be able to quickly identify personnel that have the required capabilities and expertise to carry out the necessary tasks in both a face-to-face and a virtual team environment. Locating and accessing critically needed knowledge and expertise is often a significant challenge for military commanders. We propose to develop the TeamBuilder software package to enable military commanders to rapidly identify and assemble ad hoc teams, whose members have the expertise to execute specified types of missions, and are likely to work together well as a team. The commander will specify what needs to be done, when and where, and TeamBuilder will recommend who should be assigned to the mission and summarize why they are qualified for the job. The Aptima team will apply their knowledge of teamwork theory, experience extracting information from unstructured text, skills in integrating disparate data including communications data, and know-how on processing data to create ideal teams using both algorithmic optimization and social networks.

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

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