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Recurring deadlines: last Thursday in August (2026-08-27) and last Thursday in January (2027-01-28).
Methodology, Measurement, and Statistics (MMS) Program is sponsored by National Science Foundation (NSF). The MMS Program supports the development of innovative analytical and statistical methods and models for the social, behavioral, and economic sciences. It seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields.
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Methodology, Measurement, and Statistics (MMS) | NSF - U.S. National Science Foundation Methodology, Measurement, and Statistics (MMS) Status: Waiting for new publication View image credit & caption Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports the development of analytical and statistical methods and models with potential utility in multiple fields of the social, behavioral and economic sciences.
Supports the development of analytical and statistical methods and models with potential utility in multiple fields of the social, behavioral and economic sciences. The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative analytical and statistical methods and models for those sciences.
MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social, behavioral, and economic sciences. As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the production and use of official statistics.
The MMS Program provides support through a number of different funding mechanisms. The following mechanisms are addressed in this solicitation: Awards for conferences and community-development activities Doctoral Dissertation Research Improvement (DDRI) Grants Research Experience for Undergraduates (REU) Supplements MMS also supports Faculty Early Career Development (CAREER) awards.
Please see the CAREER Program Web Site for more information about this activity.
Updates and announcements Notice to investigators: partnerships with federal statistical agencies are temporarily on hold Additional program resources Faculty Early Career Development (CAREER) Program Research Experiences for Undergraduates Program Research in Undergraduate Institutions Recent Awards Jointly Supported with the Federal Statistical Agencies ADVANCE: Increasing the Participation and Advancement of Women in Academic Science and Engineering Careers Mid-Career Methodological Opportunities Awards NSF programs to stop accepting proposals via FastLane website Awards made through this program Browse projects funded by this program Directorate for Social, Behavioral and Economic Sciences (SBE) Division of Social and Economic Sciences (SBE/SES)
According to the current listing, eligibility includes: The program provides support through various funding mechanisms, including Regular Research Awards, Awards for conferences and community-development activities, Doctoral Dissertation Research Improvement (DDRI) Grants, …. Confirm the full requirements in the official notice before applying.
Applications for Methodology, Measurement, and Statistics (MMS) Program are due August 27, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Methodology, Measurement, and Statistics (MMS) Program is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
International Research Experiences for Students (IRES) is sponsored by National Science Foundation (NSF). The IRES program supports international research and research-related activities for U.S. science and engineering students, contributing to the development of a diverse, globally engaged workforce. It focuses on active research participation by undergraduate and/or graduate students in high-quality international research, education, and professional development experiences. Students do not apply directly to NSF but to NSF-funded investigators who receive IRES awards.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) & National Institutes of Health (NIH). This interagency program supports high-risk, high-reward interdisciplinary projects that leverage AI, machine learning, and advanced data science to address pressing questions in biomedical and public health research. It seeks to advance fundamental scientific and engineering contributions across disciplines to solve key health problems.
Economics of AI Fellowship is sponsored by Stripe. The fellowship supports foundational academic research in the economics of AI, an area currently understudied despite rapid technical progress in artificial intelligence. Fellows receive a baseline grant, opportunities to attend conferences with leading economists and technologists, and potential access to unique data via Stripe and its customers.
The UKRI Policy Fellowships 2025, funded by the Economic and Social Research Council, offer 18-month placements for academics to co-design research with UK government and What Works Network host organizations. Awards range from £180,000 to £280,000 and support three fellowship tracks: core policy fellows, Natural Hazards and Resilience policy fellows, and What Works Innovation fellows. Applicants must hold a PhD or equivalent research experience, be based at a UKRI-eligible UK organization, and possess relevant subject matter or methodological expertise. Government-hosted positions target early to mid-career academics, while What Works fellowships welcome all career stages. Fellows work directly with policymakers to bridge academic research and policy development on pressing national and global challenges. The application deadline is July 15, 2025.
Announced August 4, 2026, NSF 26-513 will fund up to 10 State and Regional AI Infrastructure Hubs at $4-12M each over five years. It is a cooperative-agreement, public-private consortium model designed to put frontier compute in the hands of researchers outside the elite institutions. Here is how the program is structured, who can lead, and how to build a competitive consortium before the November 4 deadline.
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