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
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ehironak@nsf.gov | (703) 292-7041 | MPS/DMS |
Jun Zhu
|
jzhu@nsf.gov | (703) 292-4551 | MPS/DMS |