USSOCOM seeks GEO tools to optimize intelligence collection

On March 14, the U.S. Special Operations Command posted a request for information for GEO tools. Capability statements are due by April 5.

United States Special Operations Command (USSOCOM) has the requirement described below and will use the responses to this notice to develop an acquisition strategy. The purpose of this combined Request for Information (RFI)/Sources Sought Notice is to identify potential tools and sources to provide those tools to support an advanced, computer-based tool designed to develop a geographic signature of a particular phenomenon, with demonstrable efficacy optimizing intelligence collection. The tool is intended to support focused collection against terrorist or criminal groups; anticipate and preempt future attacks; and project the spread of malign influence.

The tool must have a powerful analytics capability used for focusing limited Special Operations assets and resources. Outputs will provide key insight into why particular problems exist, where they exist, and further support analyst’s recommendations to mission planners, decision makers, and operators. The tool must use scientific methodologies based on geospatial preference modeling to allow users to interpret events and their relationships to the social, cultural and physical environment. Once the relationship between events and factors is understood, the tool must be able to generate a spatial assessment that identifies areas where future events are most likely to occur.

The tool must be able to utilize a baseline of spatial data layers that characterize the environment within an area of interest. These layers consist of physical terrain, infrastructure, demographics, and cultural terrain data.

Once the geospatial factor data that represents an environment within an area of interest has been determined, the tool must be able to compute statistical spatial relationships between the events data and the spatial factors data.

The tool must be able to generate locations of interest around the events used in the model while also displaying patterns in other areas that possess the same geospatial conditions as the events dataset used to train the model. Thus, the modeling process must help narrow the search space and identify new areas of interest.
The tool must include all spatial factors that contribute to the geographic signature of the events in order to statistically measure across a number of other metrics. These metrics include the factor’s likelihood, weighted likelihood, contrast measurement, etc. The tool must be able to statistically model the distribution of each factor for correlation, as the factor relates to how events are distributed throughout an area of interest. The overall standard of measure is for the tool to reduce the area of interest by 97% with an accuracy of 90%.

The tool must be compatible with ArcGIS and act as a standalone graphic user interface. The tool must be accreditable across all DOD networks and/or system.

Full information is available here.

Source: FedBizOpps