Division of Social and Economic Sciences
Decision, Risk and Management Sciences (DRMS)
|Robert E. O'Connor-Program Directoremail@example.com||(703) 292-7263||W13244A|
|Claudia Gonzalez-Vallejo -Pgm Dirfirstname.lastname@example.org||(703) 292-7836|
Apply to PD 98-1321 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 20-1), is effective for proposals submitted, or due, on or after June 1, 2020. Please be advised that, depending on the specified due date, the guidelines contained in NSF 20-1 may apply to proposals submitted in response to this funding opportunity.
Full Proposal Target Date
August 18, 2021
August 18, Annually Thereafter
August 18, Annually Thereafter
January 17, 2022
January 17, Annually Thereafter
The Decision, Risk and Management Sciences program supports scientific research directed at increasing the understanding and effectiveness of decision making by individuals, groups, organizations, and society. Disciplinary and interdisciplinary research, doctoral dissertation research improvement grants (DDRIGs), and conferences are funded in the areas of judgment and decision making; decision analysis and decision aids; risk analysis, perception, and communication; societal and public policy decision making; management science and organizational design. The program also supports projects with severe urgency with regard to availability of, or access to, data, facilities or specialized equipment, including quick-response research on natural or anthropogenic disasters, or other unanticipated events (Rapid Response Research – RAPID). The program also supports proof-of-concept, high-risk, projects that are potentially transformational (Early Concept Grants for Exploratory Research – EAGER). For detailed information concerning these two types of grants, please review Chapter II.E of the NSF PAPPG. Funded research must be grounded in theory and generalizable. Purely algorithmic management science proposals should be submitted to the Operations Engineering (OE) Program rather than to DRMS.
General Guidance concerning the DRMS Doctoral Dissertation Research Improvement Grants (DDRIGs) funding opportunity includes the following:
- To assure that the proposal is appropriate for DRMS, the advisor of the doctoral student is strongly encouraged to contact one of the DRMS Program Directors by email prior to the preparation of the DDRIG proposal.
- DRMS DDRIG awards have a recommended maximum duration of 12 months.
- The proposal title should start with “DDRIG in DRMS:”.
- On the FastLane Cover Sheet, the advisor should be listed as the Principal Investigator (PI) and the doctoral dissertation student as the Co-PI.
- DDRIG awards are designed to cover expenses such as travel to the research site, special equipment, and participation fees.
- DRMS does not provide general stipends, tuition, or cost-of-living support for DDRIG awards.
- Your DDRIG proposal's project desciption should be essentially a research design (statement of the research problem, literature review, hypotheses, research site, data to be collected, methods of analysis, and schedule).
- Outstanding DDRIG proposals specify how the knowledge to be created advances our theoretical understanding of the subject.
For additional funding opportunities, we invite you to also look at the SBE Office of Multidisciplinary Activities (SMA) web site.
This program provides educational opportunities for Graduate Students. Individuals interested in applying for funding should see the program guidelines above.