Opportunity Information: Apply for 20 531

The Algorithms for Threat Detection (ATD) grant opportunity is a discretionary, research-focused funding program run by the National Science Foundation (NSF) in partnership with the National Geospatial-Intelligence Agency (NGA). Its core purpose is to fund projects that push forward the next generation of mathematical and statistical algorithms designed to analyze large spatiotemporal datasets, meaning data that is indexed across both space and time. The program emphasizes methods that can translate complex, high-volume observations into quantitative models of human dynamics, with the broader goal of improving analytical capabilities relevant to identifying and understanding potential threats. In practical terms, this calls for research that advances foundational algorithmic ideas (not just applying existing tools) and that is motivated by real-world patterns of human activity as reflected in large-scale geospatial and temporal data streams.

The opportunity is categorized under Science and Technology and other Research and Development, and it uses the grant funding instrument. It is listed under CFDA numbers 12.630 and 47.049, reflecting its alignment with both NSF-supported mathematical sciences research and mission-relevant analytics interests. The program is open to unrestricted applicants, meaning eligibility is broadly available to any entity type, with the caveat that applicants should still check for any additional eligibility details that might appear in the full solicitation text. This broad eligibility suggests the program can support proposals from universities, nonprofit research organizations, private sector entities, or other qualified institutions, provided the proposed work fits the program scope and meets NSF requirements.

From a funding standpoint, ATD offered an award ceiling of $300,000 per award and anticipated making around 20 awards. The opportunity was created on December 20, 2019, with an original closing date of March 18, 2020. These figures indicate a program designed to support a meaningful portfolio of projects, with individual awards sized to enable substantial algorithmic research efforts, such as developing new statistical frameworks, proving theoretical guarantees, creating scalable computational methods, and demonstrating performance on representative spatiotemporal datasets tied to modeling human behavior and movement patterns.

Overall, ATD is best understood as a targeted mathematical sciences program aimed at advancing rigorous, scalable, and statistically sound algorithms for spatiotemporal analytics, specifically in contexts where understanding and modeling human dynamics can enhance threat detection and related decision-making. The NSF-NGA partnership signals that proposals are expected to be strong on mathematical and statistical innovation while also being grounded in the kinds of data and operational questions that arise in geospatial intelligence and large-scale human activity analysis.

  • The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Algorithms for Threat Detection" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 12.630, 47.049.
  • This funding opportunity was created on Dec 20, 2019.
  • Applicants must submit their applications by Mar 18, 2020. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $300,000.00 in funding.
  • The number of recipients for this funding is limited to 20 candidate(s).
  • Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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