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ASW Find-To-Forecast

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00253-14-C-0004
Agency Tracking Number: N11A-018-0162
Amount: $749,923.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N11A-T018
Solicitation Number: 2011.0
Solicitation Year: 2011
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-08-15
Award End Date (Contract End Date): 2016-08-14
Small Business Information
709 South Harbor City Blvd., Suite 400
Melbourne, FL 32901-1936
United States
DUNS: 130550262
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kent Bimson
 VP Research
 (321) 473-1446
Business Contact
 Peter Dyson
Title: CEO
Phone: (321) 473-1444
Research Institution
 University Of New Mexico
 Laura Ferris
1700 Lomas Blvd., NE, Suite 22
Alburquerque, NM 87131-0001
United States

 (505) 277-6126
 Nonprofit College or University

As stated in the topic, The decision environment in which the Anti-Submarine Warfare Commander must operate during threat prosecution is characterized by severe time pressure, complex, multi-component decision tasks, and rapidly evolving andchanging information and situational state. There is therefore an increasing need to extend ASW decision support capabilities with the ability to help operators more rapidly find, filter, format and fuse mission-specific information from both traditional hard data sources and non-traditional soft data sources to support focused decision making and intelligent forecasting. The Modus Operandi Team of the University of New Mexico,Lockheed-Martin, and Intelligent Software Solutions proposes to develop an ASW Find-to-Forecast (ASW F2F) methodology, architecture and initial operational capability that use mission-specific ontologies, vocabularies, grammars andreasoning capabilities to help ASW operators find and exploit mission-critical information from multi-modal sources, thereby increasing their situational understanding and decreasing their detect-to-engage timelines. ASW F2F will be designed to help operators: -find hard and soft ASW information sources; -filter out irrelevant information quickly; -format relevant information as standardized knowledge ; -fuse normalized intelligence based on a mission ontology; -focus operator attention on fused information related to his AOR; and -forecast potential courses of action based on hybrid reasoning techniques.

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

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