Modeling, Simulation & Gaming Working Group

June 25, 2024
11:30 am - 1:00 pm ET

Virtual Meeting


The Modeling, Simulation & Gaming Working Group (MS&G WG) collaborates with industry, academia, and government leaders to advance GEOINT tradecraft capable of delivering authoritative and relevant at the point of need.


March Guest Speaker: Patrick Kenney

Presenting on “Creating a Digital Proving Ground: Synthetic GEOINT Collection from Simulated Activity Data”

Simulations are a valuable way to test new ideas or train people and machines when getting the right sort of data at the needed scale is not possible due to costs, security constraints, privacy concerns, technology constraints, or other limitations. Much work on synthetic data in the geospatial world focuses on forms of synthetic imagery, but synthetic “non-pixel” geospatial data are the other critical side of these efforts. By creating synthetic versions of various sensors and pointing them at a realistic, large scale human activity simulation (with embedded nefarious actors) we create a Digital Proving Ground of diverse vector GEOINT data for a variety of applications. At Whitespace we’ve created such data sets for years with our Worldline simulation for training human analysts in various analytic skillsets and to create realistic datasets for new and potential collection platforms. These digital proving grounds allow trainers and educators to have true-to-life data environments tailored to the analytic methods, missions, or tools students are supposed to learn, within the timeframe allowed for training.

In a recent project we created a data set that included simulated track data based on emerging WAMI sensors to demonstrate the benefits, and limitations, of the collection against a realistic intelligence problem. This demonstrates the value of being able to simulate GEOINT collection even if the sensors you want to simulate are not fully realized or they haven’t been applied to the sorts of missions and problems you want to test the sensor against. Lastly, the simulation of vector track data from sim-WAMI sensors highlights the potential of eventually merging the capability to simulate vector collection with simulated imagery collection to create a holistic digital proving ground that brings together both sides of geospatial intelligence.