Statistics

The National Science Foundation (NSF) Statistics Program supports research in statistical theory and methods, including statistical methodologies applied across various domains of science and engineering. This program emphasizes the development of statistical theory, which serves as the foundation for statistical science, and statistical methods, which are essential for stochastic modeling, data collection, analysis, and interpretation. The methodologies developed through this program aim to characterize uncertainty in data, enabling scientific and engineering advancements. Proposals can range from single-investigator projects to collaborative interdisciplinary team efforts. The primary purpose of the Statistics Program is to advance statistical theory and methodologies that can be applied across multiple scientific and engineering disciplines. Research funded by this program contributes to innovations in stochastic modeling and improved methods for analyzing complex datasets. By fostering these developments, the program helps address uncertainty and variability in scientific data, ultimately supporting broader scientific discoveries and technological advancements. Funding under this program supports a variety of research initiatives, including theoretical and methodological investigations, collaborative research efforts, and interdisciplinary projects. The program also encourages proposals that address challenges in emerging fields where statistical methodologies play a critical role. Conference and workshop proposals related to statistical science are also considered, but such proposals must be submitted at least eight months before the proposed start date. Eligibility for funding extends to a range of applicants, including academic institutions, non-profit organizations, and research groups. While the program does not explicitly outline specific eligibility priorities, proposals from individuals and collaborative teams engaged in cutting-edge statistical research are encouraged. Applicants must adhere to the guidelines specified in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) when preparing and submitting their proposals. Applicants are required to submit full proposals through Research.gov or Grants.gov, adhering to the NSF-specific guidelines for each platform. Proposals must include comprehensive project descriptions, clear research objectives, and detailed budgets. The submission window for full proposals is typically open from December 1 to December 15 annually, and proposals submitted outside this window will not be reviewed. Evaluation criteria for proposals are based on the NSF's standard merit review process, which assesses intellectual merit and broader impacts. Proposals must demonstrate innovative contributions to statistical theory or methodologies, potential applications in scientific and engineering domains, and broader societal benefits. Clear articulation of project goals, methodologies, and expected outcomes is essential for a successful application. The next submission window for full proposals is from December 1, 2025, to December 15, 2025, with subsequent annual submission windows following the same timeline. Applicants are advised to carefully review the NSF PAPPG guidelines and ensure timely submission through the appropriate platform. For further information, program contacts such as Yong Zeng, John E. Kolassa, Tapabrata Maiti, and Jun Zhu are available to address inquiries.