This grant is for the purpose of supporting research projects to develop the next generation of mathematical and statistical algorithms for the analysis of large spatiotemporal datasets. These advanced algorithms will be applied to quantitative models of human dynamics, aiming to enhance capabilities in threat detection. Named the Algorithms for Threat Detection (ATD) program, this initiative is a collaborative partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA). It seeks to advance the foundational scientific and mathematical methods crucial for sophisticated data-driven threat identification.
Opportunity ID: 359556
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 24-526 |
| Funding Opportunity Title: | Algorithms for Threat Detection |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 20 |
| Assistance Listings: | 12.630 — Basic, Applied, and Advanced Research in Science and Engineering |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jun 06, 2025 |
| Last Updated Date: | Jun 06, 2025 |
| Original Closing Date for Applications: | – Opportunity is Archived |
| Current Closing Date for Applications: | – Opportunity is Archived |
| Archive Date: | Jun 07, 2025 |
| Estimated Total Program Funding: | $3,000,000 |
| Award Ceiling: | $300,000 |
| Award Floor: | $150,000 |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: | *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. – Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List Act of 1994, 25 U.S.C. §§ 5130-5131. |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| Description: | 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 theNational Geospatial Intelligence Agency (NGA). |
| Link to Additional Information: | NSF Publication 24-526 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Version History
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