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Modeling Adversarial Activity to Counter Weapons of Mass Terrorism

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals in the area of modeling adversarial activity to assist indications and warnings of efforts to acquire, fabricate, proliferate, or deploy weapons of mass terrorism (WMT).

The Modeling Adversarial Activity (MAA) Broad Agency Announcement (BAA) is focused upon the development of mathematical and computational methods that integrate multiple data sources to detect relevant activities and events with high probability of detection and low rates of false alarms.

MAA assumes that an adversary’s WMT activities will result in observable transactions. MAA will develop techniques to generate alerts directly from diverse synthetic transaction data for the purpose of producing high confidence indications and warnings of efforts to acquire, fabricate, proliferate, or deploy WMTs.

Relying solely on synthetic data, MAA Phase 1 is focused on developing the mathematical and computational methods to enable large-scale graph analytics including graph alignment and merging, sub-graph detection, and sub-graph matching. The methods must operate in noisy, complex, and time-dependent environments.

Upon the successful completion of MAA Phase 1, DARPA plans to release a BAA for MAA Phase 2 focus on continued development and integration of methods into a proof-of-concept prototype system.

Further details are available via Solicitation Number: DARPA-BAA-16-61. The deadline to submit abstracts for this opportunity is October 28, 2016.

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