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Computational Mathematics


Name Email Phone Room
Leland  M. Jameson ljameson@nsf.gov (703) 292-4883  1025 N  
Padmanabhan  Seshaiyer pseshaiy@nsf.gov (703) 292-2595  1025 N  
Junping  Wang jwang@nsf.gov On sabbatical  1025 N  


Apply to PD 16-1271 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 16-1), is effective for proposals submitted, or due, on or after January 25, 2016. Please be advised that, depending on the specified due date, the guidelines contained in NSF 16-1 may apply to proposals submitted in response to this funding opportunity.


Full Proposal Window:  November 16, 2015 - December 1, 2015

November 16 - December 1, Annually Thereafter

Full Proposal Window:  November 16, 2016 - December 1, 2016

November 16 - December 1, Annually Thereafter

Research proposals to the Computational Mathematics program submitted before the window beginning date and after the window closing date will be returned without review.  Conference and workshop proposals must be submitted in accordance with the information below. 


Supports mathematical research in areas of science where computation plays a central and essential role, emphasizing analysis, development and implementation of numerical methods and algorithms, and symbolic methods.  The prominence of computation with analysis and ultimate implementation efficiency of the computational methods 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 strongly encouraged.

Display additional information


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 Program

Mathematical Sciences Postdoctoral Research Fellowships

Research Training Groups in the Mathematical Sciences


Conferences and Workshops in the Mathematical Sciences


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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