Geospatial Temporal Evidential Reasoning System (GEO-STEERS)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132V-09-C-0001
Agency Tracking Number: A072-131-1070
Amount: $730,000.00
Phase: Phase II
Program: SBIR
Awards Year: 2009
Solitcitation Year: 2007
Solitcitation Topic Code: A07-131
Solitcitation Number: 2007.2
Small Business Information
DECISIVE ANALYTICS Corporation
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
 Manager, Intelligence Sol
 (703) 682-1735
 jessica.bradley@dac.us
Business Contact
 Kelly McClelland@dac.us
Title: Director, Corporate Busin
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
N/A
Abstract
During Phase I of this research, we developed the GeoSpatial Temporal Evidential Reasoning System (GEOSTEERS) Phase I to III vision. GEOSTEERS provides the necessary capabilities for users to interactively transfer subject matter knowledge and experience into computational probability models. GEOSTEERS provides the following capabilities: discovery of relationships, patterns and connections between diverse sources of geospatial and/or temporal data, identification of important geospatial and temporal relationships and generation of hypotheses and predictive models significant event and continual improvement of our geospatially and temporally enabled predictions through an advanced data association technique. Some significant features of GEOSTEERS include: the capability to identify key geospatial entities (events, persons, locations, organizations or objects) from structured and unstructured data, the ability to quantitatively evaluate many combinations of relationships between suspect and non-suspect entities and events, a complete integration with ESRI’s ArcGIS for visualization of the relationship information and predictive models, a hypothesis management capability that can handle large, computationally complex relationships and interactions and a continuous searching capability that dynamically evaluates new possible relationships between events as new data is observed

* information listed above is at the time of submission.

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