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Algorithms for Threat Detection (ATD)

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NSF 24-526
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Important information for proposers

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.

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

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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