Division of Civil, Mechanical and Manufacturing Innovation
Service Enterprise Systems
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). NSF anticipates release of
the PAPPG in the Fall of 2014. Please be advised that, depending on the specified due date,
the guidelines contained in NSF 15-1 may apply to proposals submitted in response to this
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.
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