Computational and Data-Enabled Science and Engineering
About
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 involvin.
The Computational and Data-Enabled Science and Engineering (CDS&E) meta-program, administered by the National Science Foundation, supports innovative research that leverages computation and data analysis to drive scientific and engineering breakthroughs. This program is designed for researchers, scientists, and institutions seeking to push the boundaries of their disciplines through advanced computational methods and large-scale data analysis. CDS&E funds projects that harness the power of simulation, data accumulation, and analytical approaches to solve complex, previously intractable problems. The program welcomes interdisciplinary proposals that bridge theory, computing, experiment, and observation across multiple divisions and directorates. Researchers should apply if their work demonstrates how computational innovation and data science can accelerate discovery and create major advances beyond the scope of traditional programs. CDS&E emphasizes research that develops new computational infrastructure, adapts existing tools for novel applications, or enables collaborative interactions between traditionally separate research domains. This is an excellent opportunity for teams committed to transforming their field through computational excellence and data-driven insights.
Funding Facts
Who can apply
Last verified July 5, 2026 · Source: Grants.gov
Grant Details
Funding Range
Varies by participating division and program cycle
Grant Type
federal
Application Cycle
Varies by related program; consult official NSF website for deadlines and cycles
Best For
Researchers and institutions advancing science and engineering through computational methods and data analysis
Frequently Asked Questions
Who is eligible for Computational and Data-Enabled Science and Engineering?
Eligibility details vary by participating division and directorate within the NSF. Typically, eligible applicants include academic institutions, research organizations, and investigators supported by NSF divisions. Specific eligibility criteria may depend on the research area and participating program. Consult the official NSF CDS&E website and related program links to confirm eligibility for your research domain.
How much funding does Computational and Data-Enabled Science and Engineering provide?
Funding amounts vary by program cycle and research area. The CDS&E meta-program works in conjunction with participating NSF divisions, which may offer different funding levels. Contact the NSF directly or visit the official program page for current funding ranges and award amounts specific to your research area.
How do I apply for Computational and Data-Enabled Science and Engineering?
Applications are submitted through the NSF Grants.gov portal. Proposals should clearly articulate how computational and data-science approaches advance your research beyond existing program goals. Review the program solicitation and related program links to understand specific requirements for your research area. The NSF website provides detailed submission guidelines, proposal formats, and deadline information.
What can Computational and Data-Enabled Science and Engineering funding be used for?
Funding supports research that develops or adapts computational and data-science advances, creates new research infrastructure, and enables breakthroughs in any NSF-supported research area. Projects may address interdisciplinary challenges, foster interactions between theory and computation, or leverage large-scale simulations and data analysis. Funds can support personnel, equipment, computational resources, and other research expenses aligned with your project scope.
Last updated: July 5, 2026