Algorithms for Threat Detection (ATD)

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Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 22-1), is effective for proposals submitted, or due, on or after October 4, 2021. Please be advised that, depending on the specified due date, the guidelines contained in NSF 22-1 may apply to proposals submitted in response to this funding opportunity.

Supports research on new ways to use spatiotemporal data to model human dynamics, with an emphasis on identifying and forecasting unusual events and future threats.


The Algorithms for Threat Detection (ATD) program will support research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA).

Program contacts

Tomek Bartoszynski (703) 292-4885 MPS/DMS
Eun Heui Kim (703) 292-2091 MPS/DMS
Edsel A. Pena (703) 292-8080 MPS/DMS
T. Martin Smyth
Program Director (571) 558-4257

Awards made through this program

Browse projects funded by this program