U.S. National Science Foundation · US · Grants.gov
The Computational and Data-Enabled Science and Engineering (CDS&E) meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery, going beyond the goals of individual NSF programs. It encourages research that develops or enables interactions among theory, computing, experiment, and observation to solve intractable science and engineering problems. Proposals must have a significant computational or data science component and are submitted to participating divisions with specific deadlines.
Data last verified 2026-08-14 · sources & verification
Structured dimensions read from the official page. What do these mean? ↗
US
Any
Evidence: every dimension above is read from this scheme's official page — official page ↗.
Eligible applicants are unrestricted, as stated in the Grants.gov synopsis. The program is open to any research area supported by participating NSF divisions.
Not stated
2 form file(s) downloaded; 5 writing prompts; 72 fields/sections; light-to-moderate — short form / checklist heavy
Where each item on this page was read from, so every claim can be verified against the original. Several values often come from the same official page — that page is named in the Source column. Anything we could not reach or parse is listed under Not captured / obstacles below.
| Curated item | Value in this record | Source |
|---|---|---|
| Funding agency | U.S. National Science Foundation | simpler.grants.gov ↗ |
| Country / funding source | US · Grants.gov | same page as above — simpler.grants.gov ↗ |
| Deadline | Rolling — no fixed deadline — official page lists it as rolling/ongoing | same page as above — simpler.grants.gov ↗ |
| Funding amount | Not stated on the official page | same page as above — simpler.grants.gov ↗ |
| Eligibility | 2 structured dimensions — see the eligibility panel above | same page as above — simpler.grants.gov ↗ |
Data is collected from official funder pages only. Figures are machine-curated (rule + LLM where noted) and should be re-verified on the linked source before use.