Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods (NCSES S&T)

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).

Varies, see official page

Total program funding: $1,500,000

*Who May Submit Proposals: Proposals may only be submitted by the following: - Standard research proposals: <ul> <li class="pf0"><span class="cf0"><span class="cf0">Institutions of Higher Education (IHEs):</span>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.</span></li> <li class="pf0"><span class="cf0">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.</span></li> <li class="pf0"><span class="cf0">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. &sect;&sect; 5130-5131.</span></li> </ul> Doctoral Dissertation Research Improvement Grant proposals: Doctoral Degree granting IHEs accredited in, and having a campus located in, the US acting on behalf of their faculty members. *Who May Serve as PI: Standard research proposals: No special restrictions or limits. Doctoral Dissertation Research Improvement Grant proposals: The dissertation advisor must be listed as the Principal Investigator and the student must be listed as the co-Principal Investigator.

Who can apply:

Nationwide (USA)

Federal Government

• Opens: Jul 1, 2024
• Deadline: Jan 19, 2027

Apply through Grants.gov. Your organization needs active SAM.gov (UEI) and Grants.gov registrations, these can take several weeks, so start early.