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Service Enterprise Systems  (SES)

CONTACTS

Name Email Phone Room
Diwakar  Gupta dgupta@nsf.gov (703)292-7902   

PROGRAM GUIDELINES

Apply to PD 10-1787 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 15-1), is effective for proposals submitted, or due, on or after December 26, 2014. The PAPPG is consistent with, and, implements the new Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (Uniform Guidance) (2 CFR 200). Please be advised that the guidelines contained in NSF 15-1 apply to proposals submitted in response to this funding opportunity.

DUE DATES

Full Proposal Window:  February 1, 2015 - February 17, 2015

February 1 - February 15, Annually Thereafter

Full Proposal Window:  September 1, 2015 - September 15, 2015

September 1 - September 15, Annually Thereafter

Due dates repeat annually. Please reference the CMMI main page for further specifics concerning unsolicited proposal submission windows.

Investigators wishing to serve on a proposal review panel should email the Program Director with a short biographical sketch and a list of areas of expertise.

SYNOPSIS

The SES program supports research on decision making related to design, planning, and operation of commercial, nonprofit, and institutional service enterprises with the goal of improving their overall effectiveness and cost reduction. Research is supported that is both grounded in an interesting and relevant application and requires the development of novel analytical and computational methodologies that may be of broader interest. Topics of interest include healthcare operations and medical decision making; policies and incentives in healthcare, energy, and other public service institutions; financial engineering and risk management; transportation and humanitarian logistics; and national security. Of particular interest are methods that incorporate increasingly rich and diverse sources of data and information to support decision making.

 

RELATED URLS

Partnerships for Innovation: Building Innovation Capacity (PFI: BIC)

Smart and Connected Health (SCH)

THIS PROGRAM IS PART OF

Advancing Health Services through System Modeling Research

Systems Engineering and Design


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

Map of Recent Awards Made Through This Program

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