Apply to PD 08-1269 as follows:
For full proposals submitted via FastLane:
standard Grant Proposal Guidelines apply.
For full proposals submitted via Grants.gov:
NSF Grants.gov Application Guide; A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines apply
(Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at:
Important Notice to Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG), NSF 13-1, was issued on October 4, 2012 and is effective for proposals submitted, or due, on or after January 14, 2013. Please be advised that, depending on the specified due date, the guidelines contained in NSF 13-1 may apply to proposals submitted in response to this funding opportunity.
Please be aware that significant changes have been made to the PAPPG to implement revised merit review criteria based on the National Science Board (NSB) report, National Science Foundation's Merit Review Criteria: Review and Revisions. While the two merit review criteria remain unchanged (Intellectual Merit and Broader Impacts), guidance has been provided to clarify and improve the function of the criteria. Changes will affect the project summary and project description sections of proposals. Annual and final reports also will be affected.
A by-chapter summary of this and other significant changes is provided at the beginning of both the Grant Proposal Guide and the Award & Administration Guide.
Full Proposal Window: October 23, 2013
November 7, 2013
October 23 - November 7, Annually Thereafter
The statistics program has a submission window in from October 23 to November 7. Proposals submitted after 5pm (local time) on November 7 will be returned without review. Conference and workshop proposals should be submitted eight months before the requested starting date.
The Statistics Program supports research in statistical theory and methods, including research in statistical methods for applications to any domain of science and engineering. The theory forms the base for statistical science. The methods are used for stochastic modeling, and the collection, analysis and interpretation of data. The methods characterize uncertainty in the data and facilitate advancement in science and engineering. The Program encourages proposals ranging from single-investigator projects to interdisciplinary team projects.
Conferences and Workshops in the Mathematical Sciences
Focused Research Groups in the Mathematical Sciences
Algorithms for Threat Detection
Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences
Collaboration in Mathematical Geosciences
Mathematical Sciences Postdoctoral Research Fellowships
Faculty Early Career Development (CAREER) Program
THIS PROGRAM IS PART OF
Disciplinary Research Programs
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)
Map of Recent Awards Made Through This Program