Algorithms for Threat Detection (ATD)

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NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website. These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024.

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All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. 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.

Synopsis

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

Name	Email	Phone	Organization
Tomek Bartoszynski	tbartosz@nsf.gov	(703) 292-4885	MPS/DMS
Elizabeth Wilmer	ewilmer@nsf.gov	(703) 292-7021	MPS/DMS
Ludmil T. Zikatanov	lzikatan@nsf.gov	(703) 292-2175	MPS/DMS
Eriko Hironaka	ehironak@nsf.gov	(703) 292-7041	MPS/DMS
Jun Zhu	jzhu@nsf.gov	(703) 292-4551	MPS/DMS

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