Automation of Technical Reachback for PMESII Best Practices and Lessons Learned in Stabilization and Reconstruction Environments

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132T-09-C-0015
Agency Tracking Number: O08A-002-2025
Amount: $100,000.00
Phase: Phase I
Program: STTR
Awards Year: 2009
Solitcitation Year: 2008
Solitcitation Topic Code: OSD08-T002
Solitcitation Number: 2008.A
Small Business Information
Securboration Inc
1050 W NASA Blvd, Suite 154, Melbourne, FL, 32901
Duns: 038379579
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bruce McQueary
 Vice President
 (321) 591-7371
Business Contact
 Lynn Lehman
Title: Vice President
Phone: (919) 244-3946
Research Institution
 Elizabeth Hisserich
 4676 Admiralty Way, Suite 1001
Marina del Rey, CA, 90292
 (213) 821-1106
 Nonprofit college or university
Failing or failed states and those emerging from conflict pose one of today’s greatest security challenges. To address these challenges DoD has given stability operations priority comparable to combat operations. DoD also recognizes that reconstruction and stability (R/S) operations are more than the DoD’s responsibility; they require involvement from departments and agencies in the United States Government, as well as Non-Governmnent Organizations. DoD and civilian partners in theater must be able to discover and leverage applicable lessons learned and best practices. To address this information ‘reachback’ capability, Securboration Inc., teaming Dr. Craig Knoblock from the University of Southern California Information Sciences Institute is pleased to propose the Reachback Environment for Stablization Operations (RESO). RESO is based on the advancements by Dr. Knoblock in the area of web-based ‘mashups’, extended by Securboration’s semantic models that formalize and reason about relationships across security, rule of law, governance, economic growth, and social well-being sectors. The result is a reachback capability that goes far beyond the search capability employed by current lessons learned systems. RESO enables ‘composite’ lessons learned information to be aggregated from disparate systems into a presentable format, and available on demand within the operational context of the R/S personnel in the field.

* information listed above is at the time of submission.

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