The Algorithms for Threat Detection (ATD) program supports research on new ways to use spatiotemporal datasets to develop quantitative models of human dynamics. The objectives include improved representation of complicated group dynamics and the development of algorithms that can process data in near real-time to accurately identify unusual events and forecast future threats indicated by those events.
The ATD program will support research projects in two topical areas:
Previous projects funded can be seen at https://www.nsf.gov/awards/award_visualization.jsp?org=NSF&pims_id=503427&ProgRefCode=6877&ProgOrganization=DMS&BooleanElement=true&BooleanRef=true&from=fund.
Full proposals are due on March 18, 2020 and February 17, 2021. Proposals are to be submitted by the Third Wednesday in February, annually thereafter.