Abstract collage of science-related imagery

Algorithms for Threat Detection (ATD)

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Important information for proposers

Any proposal submitted in response to this funding opportunity should be submitted in accordance with the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. The NSF PAPPG is regularly revised and it is the responsibility of the proposer to ensure that the proposal meets the requirements specified in this solicitation and the applicable version of the PAPPG. Submitting a proposal prior to a specified deadline does not negate this requirement.

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
tbartosz@nsf.gov (703) 292-4885 MPS/DMS
Eun Heui Kim
eukim@nsf.gov (703) 292-2091 MPS/DMS
Edsel A. Pena
epena@nsf.gov (703) 292-8080 MPS/DMS
T. Martin Smyth
Program Director
Thurlough.M.Smyth@nga.mil (571) 558-4257

Awards made through this program

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