Engineering Design and Innovation
(EDI)
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CONTACTS
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PROGRAM GUIDELINES
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Apply to PD 08-1464 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)
Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes
revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA)
(Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests
funding to support postdoctoral researchers must include a description of the mentoring
activities that will be provided for such individuals. Proposals that do not comply
with this requirement will be returned without review (see the PAPP Guide Part I:
Grant Proposal Guide Chapter II for further information about the implementation of
this new requirement).
DUE DATES
Full Proposal Window: September 1, 2009
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October 1, 2009
September 1 - October 1, Annually Thereafter
Full Proposal Window: January 15, 2010
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February 15, 2010
January 15 - February 15, Annually Thereafter
Due dates repeat annually. Please reference the CMMI main page for further specifics concerning unsolicited proposal submission windows.
SYNOPSIS
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The EDI program supports research leading to design theory and to tools and methods that enable implementation of the principles of design theory in the practice of design across the full spectrum of engineered products. The program focus is on gaining an understanding of the basic processes and phenomena underlying a holistic, life-cycle view of design where the total system life-cycle context recognizes the need for advanced understanding of the identification and definition of preferences, analysis of alternatives, effective accommodation of uncertainty in decision-making, and the relationship between data and knowledge in a digitally-supported process. The program funds advances in basic design theory, tools, and software to implement design theory and new design methods that span multiple domains, such as design for the environment and for manufacturability.
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THIS PROGRAM IS PART OF
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Systems Engineering and Design
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Abstracts of Recent Awards Made Through This Program
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Discoveries
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