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Find similar grantsComputational and Data-Enabled Science and Engineering (CDS&E) meta-program is sponsored by National Science Foundation (NSF). The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery in science and engineering.
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Computational and Data-Enabled Science and Engineering (CDS&E) | NSF - U.S. National Science Foundation Computational and Data-Enabled Science and Engineering (CDS&E) 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 research that uses new computational and data science approaches to advance knowledge and accelerate discovery in science and engineering.
Supports research that uses new computational and data science approaches to advance knowledge and accelerate discovery in science and engineering. Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering.
The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data-analysis approaches and best practices.
The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates.
A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science. The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any research area supported by the participating divisions.
A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. Areas of emphasis for CDS&E vary by program. PIs are advised to consult the "related programs" links below before submitting.
The CDS&E meta-program is not intended to replace existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. Rather, proposals submitted to the CDS&E meta-program must have a significant component of computational or data science that goes well beyond what would typically be included in these programs.
Any proposal submitted to the CDS&E program that is not responsive to this Program Description may be transferred to or reviewed within the context of an individual program. A proposal requesting consideration within the context of CDS&E should begin the title with the identifying acronym "CDS&E:". Supplement requests to existing awards may also be considered.
A CDS&E proposal should include substantive science, engineering, or computing research. Algorithm and pilot software development supporting science and engineering may also be appropriate, depending on the program. Proposers who seek to implement proven, existing methods into robust cyberinfrastructure are referred instead to the program on Cyberinfrastructure for Sustained Scientific Innovation (CSSI).
A CDS&E proposal should be submitted to one of the "Related Programs" or Divisions by the associated submission window, deadline, or target date listed in the table below. In picking the most relevant program, PIs are advised to read program descriptions and solicitations carefully and consult with cognizant Program Officers before proposal preparation.
Proposal submissions outside the receiving program's scientific scope may be transferred to a different program or returned without review.
Directorate Division and Program Submission Window or Target Date Division of Chemical, Bioengineering, Environmental, and Transport Systems September 01, 2024 - September 16, 2024 September 01- September 15, Annually Thereafter Division of Civil, Mechanical and Manufacturing Innovation September 01, 2024 - September 16, 2024 September 01- September 15, Annually Thereafter Division of Chemistry - Chemical Catalysis (CAT), Chemical Mechanism, Function, and Properties (CMFP), Chemical Synthesis (SYN) September 01, 2024 - September 30, 2024 September 01 - September 30, Annually Thereafter Division of Materials Research October 15, Annually Thereafter Division of Astronomical Sciences - Advanced Technologies and Instrumentation October 01, 2024 - November 15, 2024 October 01 - November 15, Annually Thereafter Division of Chemistry - Chemical Measurement and Imaging (CMI), Environmental Chemical Sciences (ECS), and Macromolecular, Supramolecular and Nanochemistry (MSN) October 01, 2024 - October 31, 2024 October 1 - October 31, Annually Thereafter Division of Mathematical Sciences October 15, 2024 - October 31, 2024 October 15 - October 31, Annually Thereafter Division of Astronomical Sciences - Astronomy and Astrophysics Research Grants October 01, 2024 - November 15, 2024 October 01 - November 15, Annually Thereafter Division of Physics: Investigator-Initiated Research Projects – Plasma Physics program Third Monday in November, Annually Thereafter Division of Chemistry - Chemistry of Life Processes (CLP), Chemical Structure and Dynamics (CSD), Chemical Theory, Models and Computational Methods (CTMC) Full proposals accepted anytime The CDS&E program includes participation from all Divisions within the Directorate for Mathematical and Physical Sciences (MPS) and the Division of Chemical, Bioengineering, Environmental and Transport Systems and the Division of Civil, Mechanical and Manufacturing Innovation within the Directorate for Engineering (ENG).
The appropriate contact for the CDS&E program in any Division is the Program Director for one of the participating programs in that Division, listed under "Related Programs" below.
Additional program resources ENG - Division of Chemical, Bioengineering, Environmental, and Transport Systems Programs ENG - Division of Civil, Mechanical and Manufacturing Innovation Programs Division of Mathematical Sciences: Disciplinary Research Programs Awards made through this program Browse projects funded by this program Map of recent awards made through this program Astronomy and Astrophysics Research Grants (AAG) Condensed Matter and Materials Theory (CMMT) Division of Chemistry: Disciplinary Research Programs (CHE-DRP) Advanced Technologies and Instrumentation for the Astronomical Sciences (ATI) Division of Chemistry: Disciplinary Research Programs: No Deadline Pilot (CHE-DRP:NDP) Directorate for Engineering (ENG) Division of Chemical, Bioengineering, Environmental and Transport Systems (ENG/CBET) Division of Civil, Mechanical and Manufacturing Innovation (ENG/CMMI) Directorate for Mathematical and Physical Sciences (MPS) Division of Materials Research (MPS/DMR) Division of Chemistry (MPS/CHE) Division of Mathematical Sciences (MPS/DMS) Division of Astronomical Sciences (MPS/AST) Division of Physics (MPS/PHY)
According to the current listing, eligibility includes: All accredited two- or four-year U. S. institutions of higher education are eligible. Confirm the full requirements in the official notice before applying.
Computational and Data-Enabled Science and Engineering (CDS&E) meta-program is funded by National Science Foundation (NSF). 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.
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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