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Predictive Graph Convolutional Networks

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0309
Agency Tracking Number: N19A-017-0129
Amount: $144,919.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N19A-T017
Solicitation Number: 19.A
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-06-03
Award End Date (Contract End Date): 2019-12-09
Small Business Information
9301 Corbin Avenue Suite 2000
Northridge, CA 91324
United States
DUNS: 082191198
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Karyn Apfeldorf Dr. Karyn Apfeldorf
 Sr. Manager, Data Analytics
 (818) 885-2200
Business Contact
 Greg Fetzer
Phone: (303) 651-6756
Research Institution
 Michigan Technological University, Michigan Tech Research Institute (MTRI)
 Tom Holzberger Tom Holzberger
1400 Townsend Dr.
Houghton, MI 49931
United States

 (906) 487-2946
 Nonprofit College or University

The US Navy’s mission to maintain, train and equip combat-ready Naval forces requires that decision makers have situational awareness of the capabilities, limitations, vulnerabilities/opportunities for adversarial and allied forces. An incomplete or inaccurate understanding of the current landscape and associated trends could lead to suboptimal mission readiness and outcomes. Analysts need tools that can comprehend the large and complex amount of information they are presented with, and predict risks and trends from these data. Areté Associates proposes to use multi-channel, recurrent graph convolutional networks to make full use of all information available, and to create a system that is extensible to new data sources and types. This approach will provide useful information to improve situational awareness and readiness, while remaining extensible to accommodate the continual development of available data sources.

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

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