[National Science Foundation](https://www.nsf.gov)

December 15, 2025

No specified ceiling or floor; typical NSF awards range from single-investigator to interdisciplinary team projects, with budgets and durations varying by project scope.

Supports research in statistical theory and methods, including applications to any domain of science and engineering.

Proposals must follow the current NSF Proposal & Award Policies & Procedures Guide (PAPPG).

--- ## Description The National Science Foundation's Statistics Program funds research in statistical theory and methods, with a strong emphasis on both foundational advances and innovative applications across all areas of science and engineering. The program supports projects that develop new statistical methodologies, advance stochastic modeling, and improve the collection, analysis, and interpretation of data. Proposals may range from single-investigator research to large, interdisciplinary team efforts. The program aims to foster the characterization and quantification of uncertainty in data, thereby facilitating scientific and engineering progress. --- ## Due Dates - **Full Proposal Deadline:** December 15, 2025 Proposals must be submitted by 5:00 p.m. submitter's local time on the deadline date. --- ## Funding Amount - **Award Size:** No explicit minimum or maximum; budgets should be appropriate to the scope of the proposed work. - **Award Duration:** Varies by project; most NSF research grants are 1–5 years. - **Number of Awards:** Not specified; subject to the availability of funds and the quality of proposals. --- ## Eligibility - **Eligible Applicants:** Unrestricted. Open to all categories of proposers, including: - Academic institutions (colleges and universities) - Nonprofit, non-academic organizations - For-profit organizations - State and local governments - Unaffiliated individuals (in rare cases) - **Geographic Scope:** United States-based organizations and researchers; see NSF eligibility guidelines for details. --- ## Application Process - **Submission Portal:** Proposals must be submitted via [NSF FastLane](https://www.fastlane.nsf.gov/), [Research.gov](https://www.research.gov/), or [Grants.gov](https://www.grants.gov/search-results-detail/302271). - **Guidelines:** All proposals must adhere to the requirements in the current [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg). - **Required Documents:** Project description, budget, biographical sketches, data management plan, and other standard NSF proposal components. - **Review Process:** Proposals are evaluated through NSF’s merit review process, considering both intellectual merit and broader impacts. --- ## Additional Information - **Award Conditions:** Grants and cooperative agreements made on or after October 1, 2024, are subject to updated NSF award conditions, consistent with revised federal guidance ([details](https://www.nsf.gov/awards/managing/award_conditions.jsp?org=NSF)). - **No Cost Extensions:** Grantees may request a one-time extension of up to 12 months; additional extensions require NSF approval. - **Related Programs:** The Statistics Program is part of the Division of Mathematical Sciences and is closely linked to other NSF mathematical and computational science initiatives. --- ## External Links - [NSF Statistics Program Opportunity Page](https://www.nsf.gov/funding/opportunities/statistics) - [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg) - [Grants.gov Opportunity Listing](https://www.grants.gov/search-results-detail/302271) - [Browse NSF-Funded Statistics Projects](https://www.nsf.gov/awardsearch/advancedSearchResult?ProgEleCode=126900&BooleanElement=Any&BooleanRef=Any&ActiveAwards=true#results) - [NSF Award Conditions](https://www.nsf.gov/awards/managing/award_conditions.jsp?org=NSF) --- ## Contact Information | Name | Email | Phone | Organization | |---------------------|-----------------------------|-----------------|--------------| | Yong Zeng (Director)| [yzeng@nsf.gov](mailto:yzeng@nsf.gov) | (703) 292-7299 | MPS/DMS | | John E. Kolassa | [jkolassa@nsf.gov](mailto:jkolassa@nsf.gov) | (703) 292-4733 | MPS/DMS | | Tapabrata Maiti | [tmaiti@nsf.gov](mailto:tmaiti@nsf.gov) | (703) 292-5307 | MPS/DMS | | Jun Zhu (Director) | [jzhu@nsf.gov](mailto:jzhu@nsf.gov) | (703) 292-4551 | MPS/DMS | | General NSF Info | [info@nsf.gov](mailto:info@nsf.gov) | 1-703-292-5111 | NSF | For technical issues with Grants.gov: [grantsgovsupport@nsf.gov](mailto:grantsgovsupport@nsf.gov) ---

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