Tool for VISualization of Threats and Attacks (VISTA) in Urban Environments

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAD17-02-C-0029
Agency Tracking Number: A012-0354
Amount: $120,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Aptima, Inc.
12 Gill Street, Suite 1400, Woburn, MA, 01801
Duns: 967259946
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jean MacMillan
 Vice President of R&D
 (781) 496-2412
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2415
Research Institution
"Traditionally, the military intelligence analyst has been able to focus on a known enemy within situations that are relatively comprehensible. Uniforms, military equipment, and communication patterns, to name a few, could identify the enemy. However,increasingly the United States Army faces a new battlefield and a non-traditional enemy. The need exists for a tool that intelligence analysts can use to examine the sudden, non-linear, emergent events that characterize operations in urban settings. Inthis project, we will create a VISualization of Threats and Attacks (VISTA) tool. We will begin by identifying a constellation of variables that seem to describe critical aspects of urban operations. This work will explore how these variables interact andhow they change over time. We will then develop predictive equations and models that are based on these variables and that capture the occurrence of non-linear events, drawing on innovative modeling techniques from the emerging field of complex systems.By combining operational knowledge and research with predictive equations and models, VISTA will be capable of giving the analyst the vision required to produce enhanced intelligence estimates and predictions. The outcome of this program of developmentwill be a tool that assists military intelligence analysts in detecting emerging patterns in urban operations. This tool will greatly aid analysts in predicting areas of disruption, for cur

* information listed above is at the time of submission.

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