Geospatial Temporal Evidential Reasoning System (GEO-STEERS)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132V-08-C-0011
Agency Tracking Number: A072-131-1070
Amount: $119,998.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: A07-131
Solicitation Number: 2007.2
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, 22202
DUNS: 036593457
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jessica Bradley
 (703) 682-1735
Business Contact
 Kelly McClelland
Title: Director Business Administration
Phone: (703) 414-5024
Research Institution
Our approach, termed the GeoSpatial Temporal Evidential Reasoning System (GEO-STEERS), is comprised of three key steps termed: Network Formulation, Network Testing, and Network Evaluation. In combination, these three steps provide the capabilities to discover relationships, patterns and connections between diverse sources of geospatial and/or temporal data, understand the enemy’s actions, and improve battlespace awareness. This is accomplished by identifying important geospatial and temporal relationships, predicting significant events in the battlefield, and continuously improving the quality of our geospatially enabled predictive models through an advanced data association technique. Our solution will provide the capability to identify key geospatial entities (events, persons, locations, organizations or objects) from structured and unstructured data. We will also provide the ability to quantitatively evaluate many combinations of horizontal and vertical relationships between suspect and non-suspect entities. The tool will also include a hypothesis management capability that can handle large, computationally complex relationships and interaction, and a continuous searching capability that dynamically evaluates new possible relationships between events as new data is observed. Finally, the Phase II GEO-STEERS salutation will be completely integrated with ESRI’s ArcGIS for visualization of the relationship information and predictive models accessible from the leading commercial GIS software package.

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

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