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FUNDING > Computational and...

Division of Mathematical Sciences

Xiaoming Huo
xhuo@nsf.gov, (703) 292-4876
Room DMS

James Curry
jcurry@nsf.gov, (703) 292-4921
Room DMS

Leland M. Jameson
ljameson@nsf.gov, (703) 292-4883
Room DMS

Andrew D. Pollington
adpollin@nsf.gov, (703) 292-4878
Room DMS

Daniel S. Katz
dkatz@nsf.gov, (703) 292-2254
Room OD/OCI

Apply to PD 11-8069 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)

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:  November 25, 2014 - December 9, 2014

November 25 - December 9, Annually Thereafter

The CDS&E-MSS program accepts proposals that confront and embrace the
host of mathematical and statistical challenges presented to the
scientific and engineering communities by the ever-expanding role of
computational modeling and simulation on the one hand, and the explosion
in production of digital and observational data on the other. The goal
of the program is to promote the creation and development of the next
generation of mathematical and statistical theories and tools that will
be essential for addressing such issues. To this end, the program will
support fundamental research in mathematics and statistics whose primary
emphasis will be on meeting the aforementioned computational and
data-related challenges. This program is part of the wider Computational
and Data-enabled Science and Engineering (CDS&E) enterprise in NSF that
seeks to address this emerging discipline; see http://www.nsf.gov/mps/cds-e/

The research supported by the CDS&E-MSS program will aim to advance
mathematics or statistics in a significant way and will address
computational or big-data challenges.  Proposals of interest to the
program will include a Principal Investigator or co-Principal
Investigator who is a researcher in the mathematical or statistical
sciences in an area supported by the Division of Mathematical Sciences.
The program encourages submission of proposals that include
multidisciplinary collaborations or the training of mathematicians and
statisticians in CDS&E.

In fiscal year 2012, this program will be co-funded by the NSF Office of
Cyberinfrastructure (OCI).

Dear Colleague Letter: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS) (NSF 12-018)

Software Infrastructure for Sustained Innovation - S2I2
Software Development for Cyberinfrastructure
NSF Graduate Research Fellowship Program
NSF Fellowships for Transformative Computational Science using CyberInfrastructure

Dear Colleague Letter: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
Data-Enabled Science in the Mathematical and Physical Sciences
Computational Science
Discovery in Complex or Massive Datasets: Common Statistical Themes
ACCI Task Force on Grand Challenges
Inventing a New America through Discovery and Innovation in Science, Engineering, and Medicine
MPS Advisory Committee Reports
Computational and Data-Enabled Science and Engineering (CDS&E)

Special Research Programs

What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

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