FUNDING > Service Enterprise...
Division of Civil, Mechanical and Manufacturing Innovation
Service Enterprise Systems (SES)
Apply to PD 10-1787 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.
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.
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.