Open
Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods (NCSES S&T)
Federal funding opportunity 24-587 from U.S. National Science Foundation.
Apply on Grants.gov →Application closes January 19, 2027
- Posted
- July 1, 2024
- Closes
- January 19, 2027
- Program funding
- $1,500,000
- Expected awards
- 10
- Cost sharing
- No
- Instrument
- Grant
- Assistance listing
- 47.075
- Archives
- July 20, 2028
Program funding history
Awards made under Assistance Listing 47.075 across FY2024–FY2026, from public federal spending records.
- FY2024 obligated
- $221.5M
- FY2025 obligated
- $154M
- FY2026 (to date) obligated
- $18.4M
- Awards in window
- 2,542
Top recipients: Regents of the University of Michigan, National Bureau of Economic Research Inc, University of Massachusetts, National Opinion Research Center, Regents of the University of California, the
Source: USAspending.gov · refreshed July 2026
Synopsis
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).
Who can apply
- Others (see text field entitled "Additional Information on Eligibility" for clarification)
*Who May Submit Proposals: Proposals may only be submitted by the following: - Standard research proposals:
- Institutions of Higher Education (IHEs):Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
- Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities.
- Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List Act of 1994, 25 U.S.C. §§ 5130-5131.
How to apply
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