POWER: Political Will Expert Reasoning Tool

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132T-08-C-0002
Agency Tracking Number: O074-002-2006
Amount: $99,679.00
Phase: Phase I
Program: STTR
Awards Year: 2007
Solitcitation Year: 2007
Solitcitation Topic Code: OSD07-T002
Solitcitation Number: N/A
Small Business Information
6825 Pine Street, Suite 141, Omaha, NE, 68106
Duns: 949183701
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Warren Noll
 Product Manager
 (573) 329-8526
Business Contact
 Stuart Aldridge
Title: Deputy CTO
Phone: (402) 505-7887
Email: stuart@21csi.com
Research Institution
 Paula Loyd
 3040 Cornwallis Rd
PO Box 12194
Research Triangle Pa, NC, 27709 2194
 (919) 485-5575
 Domestic nonprofit research organization
There are many challenges in addressing the problem of Political Will. The first is developing a clear, complete, consensual definition of Political Will driven by both theory and field practice. But a larger challenge is deconstructing and unpacking the Political Science and Social Science concept of Political Will into its complex constituent elements in order to arrive at their computational, representational, and algorithmic characteristics. In other words, to make it computable. The team of 21st Century Systems Incorporated and RTI International is pleased to propose to research and develop our POWER (Political Will Expert Reasoning) tool. The tool is intended to help operational and tactical military leaders to reach informed decisions critical to the success in the USG stabilization efforts by providing information about the country's political leaders and assessing their willingness to collaborate with the USG on counter-insurgency, counter-terrorism, and stabilization. The POWER concept utilizes a computational model of Political Will accounting for its complex, non-binary structure and changes over time. We will also investigate application of three types of cutting-edge intelligent information processing technologies: probabilistic evidential reasoning with uncertain, imprecise, and incomplete information; multi-lingual text processing and text mining technologies, and natural language-motivated knowledge representation and reasoning technologies.

* information listed above is at the time of submission.

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