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Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods is sponsored by National Science Foundation (NSF) - National Center for Science and Engineering Statistics (NCSES). This grant program provides funding opportunities for external researchers to conduct unique research projects that support the strategic objectives of NCSES and partner federal statistical agencies.
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Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods | NSF - U.S. National Science Foundation Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods Status: Waiting for new publication 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 analytic and methodological research focused on improving NSCSES data quality, as well as education and training in the use of large-scale nationally representative datasets to advance the understanding of the science and technology enterprise.
Supports analytic and methodological research focused on improving NSCSES data quality, as well as education and training in the use of large-scale nationally representative datasets to advance the understanding of the science and technology enterprise.
The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States.
It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and technology (S&T) enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public.
NCSES uses this information to prepare a number of statistical data reports including Women, Minorities and Persons with Disabilities in Science and Engineering and the National Science Board's biennial report, Science and Engineering (S&E) Indicators .
The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys as well as promote the education and training of researchers in the use of large-scale nationally representative datasets.
NCSES welcomes efforts by the research community to use NCSES or other data to conduct research on the S&T enterprise, develop improved survey methodologies that could benefit NCSES surveys, explore alternate data sources that could supplement NCSES data, create and improve indicators of S&T activities and resources, strengthen methodologies to analyze S&T statistical data, and explore innovative ways to communicate S&T statistics.
To that end, NCSES invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, experimental research, survey research and data collection, and dissemination projects under its program for Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods (NCSES S&T).
Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Social, Behavioral and Economic Sciences (SBE) National Center for Science and Engineering Statistics (SBE/NCSES)
According to the current listing, eligibility includes: U. S. institutions of higher education and their collaborators. Confirm the full requirements in the official notice before applying.
Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods is funded by National Science Foundation (NSF) - National Center for Science and Engineering Statistics (NCSES). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods (Program Solicitation NSF 24-587) is sponsored by National Science Foundation (NSF) - National Center for Science and Engineering Statistics (NCSES). This grant program is designed to advance analytic and methodological research in support of understanding the science and technology (S&T) enterprise.
Broad Agency Announcement (BAA) - NCSES is sponsored by National Science Foundation (NSF) - National Center for Science and Engineering Statistics (NCSES). The Broad Agency Announcement (BAA) provides research opportunities primarily to U. S. institutions of higher education and their collaborators to conduct a variety of research projects that support the strategic objectives of NCSES and partner federal statistical agencies.
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 Smart Data Research UK Fellowships provide up to £200,000 per project for researchers using smart data to address real-world challenges across the United Kingdom. Funded by UKRI through Smart Data Research UK, this program supports up to ten projects lasting 18 months, with start dates by February 2026. Applicants must be based at eligible UK organizations and demonstrate strong data skills with a compelling research question aligned to one of four SDR UK themes: productivity and prosperity, health and wellbeing, sustainability, or communities and places. Researchers at all career stages may apply, with early career researchers particularly encouraged. Projects may use smart datasets from SDR UK's six national data services or combine smart data with administrative and survey data sources.
On August 26, 2026, NSF named the STC class of 2026: TEMPEST at Michigan State, GENIE at Northwestern, and a human-robot co-adaptation center at UT Austin. $90 million total, $6 million a year each. The 2023 class was four centers and $120 million. The award size is intact; the shelf space shrank 25 percent — and that is the number that should reshape how you plan a center proposal.
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