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Cognitive Approaches to Integrated Intelligence Production

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-12-M-6266
Agency Tracking Number: F112-026-2534
Amount: $149,974.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF112-026
Solicitation Number: 2011.2
Solicitation Year: 2011
Award Year: 2012
Award Start Date (Proposal Award Date): 2011-12-22
Award End Date (Contract End Date): N/A
Small Business Information
1775 Mentor Avenue Suite 302
Cincinnati, OH -
United States
DUNS: 964730451
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Allan Burwinkel
 Research Engineer
 (513) 631-1579
Business Contact
 Deirdre Larkin
Title: Business Manager
Phone: (513) 631-0579
Research Institution

ABSTRACT: The research proposed by the Etegent team will bring to bear our automated/assisted target recognition, data visualization and processing algorithm acceleration capability on the data-overload problem experienced in the ISR community within a rigorous, cognitive framework. We will utilize a new hyperspectral collection and exploitation program-of-record as a case study to research the cognitive challenges faced by analysts and how these tools may be deployed to help meet theses challenges. In this program spectral analysts must exploit data in an operationally relevant manner, both real time and by complete post processing in a matter of hours. This work will be conducted in the context of the additional challenge faced by analysts of having to remotely prioritize and queue data for retrieval from theater for exploitation, due to limited communication bandwidth. Though results from this research will be based on a specific program study they will be broadly relevant. BENEFIT: The proposed work will contribute significantly to developing cognitively efficient tools for analysts to exploit large data sets, potentially remotely with limited communication bandwidth, and under the requirement/opportunity to consider disparate information sources in doing so. In short, this research will help to address the"swimming in sensors, drowning in data"problem experienced throughout the DOD and civilian regimes.

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

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