Disruption through Intelligent Strategies, Counter Options, and Resilient Defenses (DISCORD)
The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative proposals for the Disruption through Intelligent Strategies, Counter Options, and Resilient Defenses (DISCORD) program. This initiative seeks to develop an Artificial Intelligence (AI)-native approach for the rapid generation of tactical options by leveraging live sensor data and high-fidelity simulations. The program's primary objective is to provide commanders with a portfolio of diverse, explainable strategies that can pivot dynamically in response to evolving operational conditions, ensuring strategic flexibility and the freedom to exercise tactical judgment in ways that adversaries cannot easily predict or disrupt. DISCORD is structured as a 24-month effort divided into two 12-month phases and implements Ender’s Foundry, a Pace-Setting Project established by the Department of War to accelerate AI-enabled simulation capabilities. The program is organized into three distinct Technical Areas: TA 1 (Asymmetric Advantage Engine), TA 2 (Human-Machine Teaming), and TA 3 (Live Adaptation Experimentation). DARPA intends to award multiple Other Transaction Authority (OTA) for Prototypes agreements to performers who can demonstrate technical proficiency in areas such as physics-based reduced order modeling, online dynamics learning, and recurrence quantification analysis. The solicitation process includes a mandatory abstract phase followed by full written proposals. While the initial program solicitation established the legal and procedural framework, Amendment 1 significantly revised the submission timeline. Technical requirements and evaluation criteria are further detailed in a Proposers Day briefing and a Controlled Unclassified Information (CUI) addendum, the latter of which must be requeste…
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Contact and place of performance
BAA Coordinator
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The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative proposals that leverage: abstraction of physics based reduced order modeling, AI-driven simulation with edge compute, advances in online model-predictive control and online dynamics learning, recurrence quantification analysis, simulation with live sensor data, and game theory / theory of behavior. The Disruption through Intelligent Strate...
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