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Broad Agency Announcement (BAA) - NCSES is sponsored by National Science Foundation (NSF) / National Center for Science and Engineering Statistics (NCSES). The BAA provides research opportunities primarily to U. S.
institutions of higher education and their collaborators to conduct various research projects that support the strategic objectives of NCSES and partner federal statistical agencies.
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A **. gov** website belongs to an official government organization in the United States. National Center for Science and Engineering Statistics Learn about NCSES's mission, organization, and responsibilities within the federal statistical system.
NCSES's mission focuses on six core areas of interest related to the U.S. science and engineering enterprise. Explore each area to discover related data and products.
* Areas of Interest Overview * Government Science & Engineering Funding * Higher Education Research & Development * Innovation & Global Competitiveness * Science & Engineering Workforce Browse NCSES's surveys of the science and engineering enterprise and explore related reports and data collections.
* Surveys & Analysis Overview * Schedule of Release Dates Discover and analyze NCSES data through our collection of interactive data tools, profiles, and related resources. * Academic Institution Profiles * Restricted Use Data Licensing * Initiatives & Resources Learn about NCSES's crosscutting initiatives and projects and browse our collection of educational resources.
* Cybersecurity Workforce Data Initiative * National Secure Data Service Demo * Standard Application Process * Master Government List of FFRDCs The National Center for Science and Engineering Statistics (NCSES) leads and supports research to improve insights and discoveries in support of its mission, the federal statistical system, and research communities.
As a principal statistical agency within the National Science Foundation (NSF), our specific work is strategic and nuanced, working to advance our mission to collect, interpret, analyze, and disseminate objective data on the science and engineering enterprise within a global context. NCSES maintains an active research agenda that guides practice, strategy, and internal decision-making. Our research is conducted in a variety of ways.
Although some of our work is driven by NCSES staff, other investigations partner with our data collection contractors and external collaborators. Explore highlights of our current research initiatives below. ## NCSES's Commitment to Quality NCSES encourages staff to pursue research interests independently and through strategic collaborations.
One area of focus in recent years has been record linkage of NCSES data with other sources to answer new questions about STEM doctorate holders and other topics of interest. NCSES also conducts methodological experiments on our surveys to improve data collection procedures, with a particular focus on reducing costs and improving nonresponse.
In addition, NCSES routinely conducts qualitative testing of survey questions and questionnaires to continuously improve our survey instruments. ## Existing Research Partnerships NCSES partners with several organizations in support of its research program. * Our partnership with the Coleridge Initiative includes data science training, record linkage, and other evidence building research.
We encourage researchers to use NCSES data to explore questions about STEM pathways and science policy. Our aim is to enable collaborative knowledge creation and discovery through a variety of programs. To view past projects associated with this partnership, please visit our FAQ page.
* NCSES coordinates with the Federal Committee on Statistical Methodology (FCSM) to support research and data quality. NCSES financially supports the FCSM grant program coordinated by NSF’s Methodology, Measurement, and Statistics program. * We provide technical consultation on the development of the government-wide probability-based online panel, Ask US.
More information will be provided on this project as it develops. * Our partnership with the University of Virginia Biocomplexity Institute seeks to improve official statistics using “big data. ” * Discovery of emerging trends for U.S. federally funded R&D * Initiative on skilled technical workforce ## Continuing Innovations All major funding decisions for NCSES are guided by our Research Agenda.
Some of our major research areas include: * Privacy and data protections * Innovative use of auxiliary data * Reducing respondent burden NCSES also uses experimental online panel surveys, called bridge panels, as an internal mechanism for research. With these bridge panels, a subsample of our survey population is used to test survey improvements, such as new versions of survey questions and new methods of data collection.
If testing shows positive results, these changes will be implemented in the next wave of the survey. Visit our FAQ page for more information. You may also contact us at ncsesweb@nsf.
gov. ### Get e-mail updates from NCSES X/TwitterFacebookLinked-In National Center for Science and Engineering Statistics OUR DATA AND ANALYSIS * Areas of Interest * Schedule of Release Dates * Frequently Asked Questions * Budget and Performance| National Center for Science and Engineering Statistics Randolph Building, 401 Dulany Street, Alexandria, VA 22314 Tel: (703) 292-8780 FIRS: (800) 877-8339 TDD: (800) 281-8749
According to the current listing, eligibility includes: Primarily U. S. institutions of higher education and their collaborators. Applicants are asked to submit short concept papers in January. Confirm the full requirements in the official notice before applying.
The current listing shows up to $500,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Broad Agency Announcement (BAA) - NCSES 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.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
RET Sites close October 14, 2026 — about nine awards from $5.8 million, capped at $600,000 over three years, with a PI eligibility rule that disqualifies most of the people who write outreach proposals. RET Supplements reach the same money for $15,000 a teacher and are not a competition.
Read articleOn 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.
Read articleNSF just committed $380 million to build a national network of AI-programmable, remotely operated laboratories — the Programmable Cloud Laboratories Test Bed (NSF 25-541), the agency's flagship contribution to the Genesis Mission. Twenty nodes, four years, self-driving experiments in chemistry, biology and materials. Here is what it funds, who is eligible, why the 'existing facilities only' rule matters, and how researchers and companies should position for what comes next.
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