Statistics
Funds statistical theory and methods, and their application to any part of science and engineering.
NSF's Statistics programme funds research in statistical theory and in statistical methods, including methods built for a particular domain of science or engineering.
NSF's own framing separates the two. Theory forms the base of statistical science. Methods are what people actually use — for stochastic modelling, and for collecting, analysing and interpreting data — and their job is to characteri…
Statistical theory and statistical methods, including methods for application to any domain of science and engineering — stochastic modelling, and the collection, analysis and interpretation of data with uncertainty characterised.
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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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