Computational and Data-Enabled Science and Engineering
Funds science that only computation or data could reach — and refuses anything using established methods on large datasets.
Simulation and large data have changed how science gets done, and this meta-programme exists to find the breakthroughs that come from new computational and data-analysis approaches rather than from applying old ones at scale.
It runs across NSF divisions and directorates. The intellectual driver can sit in one discipline or cut across several, and proposals are welcome in any research area the pa…
Scientific and engineering advances made possible by new computational and data-analysis approaches, in any research area the participating divisions support, where the computational or data-science component goes well beyond what an ordinary programme would include.
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Guides for this application
All guides →NSF Biosketch Guide: SciENcv, Format, and Examples
Learn how the NSF biosketch works, what SciENcv is used for, how it differs from current and pending support, and what startup teams should prepare.
DocumentsNSF Data Management Plan Example and Writing Guide
Learn how to write an NSF data management plan, what the plan should include, how it differs from NIH data sharing plans, and how startup applicants should handle data.
Write proposalHow to Write a Grant Proposal Reviewers Can Score
Learn how to write a grant proposal around reviewer criteria, evidence, work packages, budget logic, and commercialization for deeptech and R&D funding.
DocumentsGrant Work Plan Template: Work Packages, Gantt, Milestones, and Risks
Use this grant work plan template to structure work packages, tasks, owners, deliverables, Gantt timing, dependencies, and risk registers.
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