How the DoD and IC can use synthetic population generation to simulate key questions

Agent-based modeling and simulation is critical to answering key questions within the Intelligence Community and Department of Defense, with use cases ranging from strategic defense planning to public health and disaster recovery. However, having actionable findings requires accurately depicting individuals’ motivations and decisions at scale.

To overcome this requirement, the team at Improbable, in collaboration with the National Geospatial-Intelligence Agency (NGA), has expanded on known agent-based modeling capabilities to show geolocated, goal-directed behavior by synthetically representing a real population making real decisions.

What you’ll learn:

  • The work we’ve done to generate representative, individual-agent personalities
  • How we aim to better capture how the real-world population would respond to simulated scenarios
  • How we generated a realistic pattern of life for the area
  • And more!

Click the link below to read the full paper, “Growing People: Generating Realistic Populations and Explainable, Goal Directed Behavior”, written by Ashley Fehr and Joseph Stoffa at Improbable, alongside Jared Newton and Josh White from the National Geospatial-Intelligence Agency, and see how we’re enabling modelers, policymakers, planners and decisionmakers to simulate key questions with synthetic population generation.

Read paper

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