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Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences  (CDS&E-MSS)

CONTACTS

Name Email Phone Room
Xiaoming  Huo xhuo@nsf.gov (703) 292-4876  DMS  
James  Curry jcurry@nsf.gov (703) 292-4921  DMS  
Leland  M. Jameson ljameson@nsf.gov (703) 292-4883  DMS  
Andrew  D. Pollington adpollin@nsf.gov (703) 292-4878  DMS  
Daniel  S. Katz dkatz@nsf.gov (703) 292-2254  OD/OCI  

PROGRAM GUIDELINES

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)

DUE DATES

Full Proposal Window:  November 25, 2014 - December 9, 2014

November 25 - December 9, Annually Thereafter

SYNOPSIS

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).

RELATED PUBLICATIONS

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

RELATED PROGRAMS

Software Infrastructure for Sustained Innovation - S2I2

Software Development for Cyberinfrastructure

NSF Graduate Research Fellowship Program

NSF Fellowships for Transformative Computational Science using CyberInfrastructure

RELATED URLS

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)

THIS PROGRAM IS PART OF

Special 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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