Many significant societal events are preceded and/or followed by population-level changes in communication, consumption, and movement. Few methods have been developed for anticipating or detecting unexpected events by fusing publicly available data of multiple types from multiple sources. IARPA’s Open Source Indicators (OSI) Program aims to fill this gap by developing methods for continuous, automated analysis of publicly available data in order to anticipate and/or detect significant societal events, such as political crises, humanitarian crises, mass violence, riots, mass migrations, disease outbreaks, economic instability, resource shortages, and responses to natural disasters. Performers will be evaluated on the basis of warnings that they deliver about real-world events. Please see the solicitation announcement for more information.


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