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Computational Mathematics

CONTACTS

Name Email Phone Room
Junping  Wang jwang@nsf.gov (703) 292-4488  1025 N  
Leland  M. Jameson ljameson@nsf.gov (703) 292-4883  1025 N  
Amnon  J. Meir ajmeir@nsf.gov (703) 292-2189  1025 N  
Thomas  F. Russell trussell@nsf.gov (703) 292-4863  1025 N  

PROGRAM GUIDELINES

Apply to PD 10-1271 as follows:

For full proposals submitted via FastLane: standard Grant Proposal Guide proposal preparation guidelines apply.
For full proposals submitted via Grants.gov: the NSF Grants.gov Application Guide; A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines applies. (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)

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 15-1), is effective for proposals submitted, or due, on or after December 26, 2014. The PAPPG is consistent with, and, implements the new Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (Uniform Guidance) (2 CFR 200). Please be advised that the guidelines contained in NSF 15-1 apply to proposals submitted in response to this funding opportunity.

DUE DATES

Full Proposal Window:  December 1, 2015 - December 15, 2015

December 1 - December 15, Annually Thereafter

Research proposals to the Computational Mathematics program submitted before the window begining date and after the window closing date will be returned without review.  The submission window does not apply to conference and workshop proposals, which should be submitted eight to twelve months before the requested starting date.

SYNOPSIS

Supports mathematical research in areas of science where computation plays a central and essential role, emphasizing design, analysis, and implementation of numerical methods and algorithms, and symbolic methods.  The prominence of computation with analysis of the computational approach in the research is a hallmark of the program.  Proposals ranging from single-investigator projects that develop and analyze innovative computational methods to interdisciplinary team projects that not only create and analyze new mathematical and computational techniques but also use/implement them to model, study, and solve important application problems are encouraged.

RELATED PROGRAMS

Applied Mathematics

Mathematical Biology

Algorithms for Threat Detection

Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences

Collaborative Research in Computational Neuroscience

Focused Research Groups in the Mathematical Sciences

Workforce Program in the Mathematical Sciences

Faculty Early Career Development (CAREER) Program

Mathematical Sciences Postdoctoral Research Fellowships

Research Training Groups in the Mathematical Sciences

RELATED URLS

Conferences and Workshops in the Mathematical Sciences

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

News

Discoveries



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