Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS)
CONTACTS
| Name | Phone | Room | |
| Yong Zeng | yzeng@nsf.gov | (703) 292-2301 | DMS |
| Timothy Hodges | thodges@nsf.gov | (703) 292-2113 | DMS |
| Padmanabhan Seshaiyer | pseshaiy@nsf.gov | (703) 292-2595 | DMS |
| Christopher W. Stark | cstark@nsf.gov | (703) 292-4869 | DMS |
| Vipin Chaudhary | vipchaud@nsf.gov | (703) 292-2254 | ACI |
PROGRAM GUIDELINES
Apply to PD 16-8069 as follows:
For full proposals submitted via FastLane:
standard NSF Proposal & Award Policies & Procedures 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 17-1), is effective for proposals submitted, or due, on or after January 30, 2017. Please be advised that, depending on the specified due date, the guidelines contained in NSF 17-1 may apply to proposals submitted in response to this funding opportunity.
DUE DATES
Full Proposal Window
November 25, 2017
-
December 11, 2017
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.
RELATED PROGRAMS
Transdisciplinary Research in Principles of Data Science
Software Infrastructure for Sustained Innovation
Software Development for Cyberinfrastructure
NSF Graduate Research Fellowship Program
RELATED URLS
Data-Enabled Science in the Mathematical and Physical Sciences
Computational Science
Discovery in Complex or Massive Datasets: Common Statistical Themes
Inventing a New America through Discovery and Innovation in Science, Engineering, and Medicine
MPS Advisory Committee Reports
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)
