Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-09-C-0474
Agency Tracking Number: N081-084-0664
Amount: $745,640.00
Phase: Phase II
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: N08-084
Solicitation Number: 2008.1
Small Business Information
4515 Seton Center Parkway, Suite 320, Austin, TX, 78759
DUNS: 158034665
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Matthew McClain
 Principal Investigator
 (512) 342-0010
Business Contact
 Irene Williams
Title: Principal Investigator
Phone: (512) 342-0010
Research Institution
PRESAGE is a robust computational tool that employs artificial neural network machine learning technologies to automate the analysis of extremely large sets of unstructured information. The PRESAGE solution takes a broad view of unstructured information analysis, learning correlations between on-the-ground threat risk and trends in sentiment, themes, and other textual features extracted from large amounts of open source information. PRESAGE uses this learned knowledge to detect emerging threats from changing sentiment extracted from newly acquired information. This provides the situational analysis that enables troops to take a proactive stance and conduct operations when, where, and how they will be most effective. In the PRESAGE Phase I effort, 21CT demonstrated the effectiveness of a neural network based approach to threat risk estimation. The results are significant for the future development of PRESAGE technology. We have proven the concept that recurrent neural architectures can be used to estimate information analogous to threat levels from sentiment and theme features extracted from unstructured data. We believe this technology can also be used to estimate threat risk if applied to wide-area OSINT sources. We have identified critical research questions that need to be addressed by future work for successful application of PRESAGE to operational scenarios.

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

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