Collaborative Assistance and Rapid Team Optimization System (CARTOS)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-08-C-0265
Agency Tracking Number: 06ST1-0035
Amount: $750,000.00
Phase: Phase II
Program: STTR
Awards Year: 2008
Solicitation Year: 2006
Solicitation Topic Code: ST061-004
Solicitation Number: N/A
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, 01801
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Shawn Weil
 Cognitive Scientist
 (781) 496-2456
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2415
Research Institution
 Stephen McAlarney
 Office of Sponsored Programs
77 Mass Ave, Building E19-750
Cambridge, MA, 2139
 (617) 253-3856
 Nonprofit college or university
Aptima Inc. and the MIT Media lab are pleased to submit this proposal for a Phase II continuation of its STTR Phase I project to develop a Spontaneous Collaboration Assistant and Linking Engine (SCALE). The present proposal is a joint effort of Aptima, Inc. and Perceptronics Solutions, Inc., who have combined forces to develop together a new Collaborative Assistance and Rapid Team Optimization System (CARTOS) as a synergistic extension and enhancement of their individual STTR Phase I efforts. The proposal describes the CARTOS system concept and how the companies will work together under separate contracts to develop, evaluate, transition, commercialize and market the CARTOS technology and products. CARTOS is an innovative system that will automatically form and adaptively improve ‘virtual teams’ using data from organizational communications and other sources. The virtual teams will be formed to identify new collaboration opportunities within the organization, to attack immediate mission-related tasks and address long-duration objectives, and to discover ‘hidden’ capabilities relating to problem areas well suited for future work by the organization. the technical approach combines several fundamental innovations, including: (1) the first integration of Social Networking and Topic Modeling; and (2) the first application of Multiagent Systems to team formation and optimization.

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

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