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SCALE: Spontaneous Collaboration Assistant and Linking Engine

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-06-C-0398
Agency Tracking Number: 06ST1-0035
Amount: $149,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST061-004
Solicitation Number: N/A
Timeline
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-08-16
Award End Date (Contract End Date): 2007-03-19
Small Business Information
12 Gill Street
Woburn, MA 01801
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kari Kelton
 Organizational Engineer
 (202) 842-1548
 kkelton@aptima.com
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2415
Email: clancy@aptima.com
Research Institution
 MASSACUUSETTS INSTITUTE OF TECHNOLOGY
 Rosemary Hanlon
 
MIT
Cambridge, MA 02139
United States

 (617) 253-3529
 Nonprofit College or University
Abstract

Static organization charts and standard processes define roles, methods, and authority in useful ways for common missions. But these same, rigid structures force the organization to behave inefficiently, often ineffectively on problems in new domains, problems requiring new coordination methods and ad hoc teams. What is needed to facilitate rapid formation of effective human networks is a system that non-invasively monitors the rich content of digital media and conversation, builds knowledge of ad hoc and potential networks, and accurately recommends new opportunities for collaboration. The proposed research addresses this need by developing the Spontaneous Collaboration Assistant and Linking Engine (SCALE), an innovative new technology that integrates three cutting-edge approaches:  Text mining of digital documents and communications to construct an organizational model of members' areas of knowledge/work and existing collaboration relationships;  Reality mining of physical interactions between people to augment the model of organizational knowledge and collaboration;  Social network analysis to identify new productivity-enhancing opportunities for spontaneous collaboration between members of the organization.

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

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