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Validating Large Scale Simulations of Socio-Political Phenomena

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-08-C-0226
Agency Tracking Number: 07SB2-0253
Amount: $98,849.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SB072-013
Solicitation Number: 2007.2
Timeline
Solicitation Year: 2007
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-03-11
Award End Date (Contract End Date): 2008-10-31
Small Business Information
1595 Spring Hill Road Suite 250
Vienna, VA 22182
United States
DUNS: 198349516
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Jimmie McEver
 Senior Scientist
 (703) 893-6800
 mcever@ebrinc.com
Business Contact
 Mary Stewart
Title: Vice President
Phone: (703) 893-6800
Email: yodapod@ebrinc.com
Research Institution
N/A
Abstract

There is a growing recognition that simulations representing social and political phenomena are very useful to today’s military to support planning and execution of operations associated with irregular warfare. While many technical challenges are being addressed by DARPA, social science simulations still present an overarching problem: methods and capabilities to show that a simulation is working correctly for an appropriate class of applications are not sufficiently developed for a sponsor/user to confidently apply it in an operational environment. It is EBR’s belief, supported by related experience, that the credibility of such simulations can be established if 1) the use is appropriate for the type of simulation; 2) the simulation has been designed to be validatable for that use; and 3) a complementary set of validation and verification capabilities and techniques are available. This work will provide DARPA with a vision for validatable simulations, including appropriate use classes, simulation capabilities needed to enable validation, and promising tools and techniques to assess the degree to which a simulation is sufficiently credible to support the identified classes of applications. This research will identify technical challenges associated with this vision and selected a set of solution options for development in Phase II.

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

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