|Junping Wangfirstname.lastname@example.org||(703) 292-4488||1025 N|
|Leland M. Jamesonemail@example.com||(703) 292-4883||1025 N|
|Padmanabhan Seshaiyerfirstname.lastname@example.org||(703) 292-2595||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, 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.
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
THIS PROGRAM IS PART OF
Disciplinary Research Programs