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CONTACTS

Name Email Phone Room
Gabor  Szekely gszekely@nsf.gov (703) 292-8869  1025 N  
Xiaoming  Huo xhuo@nsf.gov (703) 292-4876  1025 N  
Nandini  Kannan nakannan@nsf.gov (703) 292-8104  1025 N  

PROGRAM GUIDELINES

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: http://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide)

DUE DATES

Full Proposal Window:  October 23, 2014 - November 7, 2014

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.

SYNOPSIS

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.

RELATED PROGRAMS

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

Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences

Mathematical Sciences Postdoctoral Research Fellowships

Faculty Early Career Development (CAREER) Program

Collaborative Research in Computational Neuroscience

Critical Techniques and Technologies for Advancing Big Data Science & Engineering

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

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