The synopsis for this grant opportunity is detailed below, following
this paragraph. This synopsis contains all of the updates to this
document that have been posted as of
05/25/2011
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updates have been made to the opportunity synopsis, update information
is provided below the synopsis.
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Description of Modification
updated made 4.26.13--rc;
Document Type:
Modification to Previous
Grants Notice
Funding Opportunity Number:
11-547
Opportunity Category:
Discretionary
Posted Date:
May 25, 2011
Creation Date:
Apr 26, 2013
Original Closing Date for Applications:
Jan 15, 2013
See full Proposal Solicitation for details
Current Closing Date for Applications:
Apr 04, 2013
See full Proposal Solicitation for details
Archive Date:
Funding Instrument Type:
Grant
Category of Funding Activity:
Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
300
Estimated Total Program Funding:
$2,500,000
Award Ceiling:
Award Floor:
CFDA Number(s):
47.075
--
Social, Behavioral, and Economic Sciences
Cost Sharing or Matching Requirement:
No
Eligible Applicants
Others (see text field entitled "Additional Information on Eligibility" for clarification)
Additional Information on Eligibility:
*Organization Limit: Proposals may only be submitted by the following:
-The student must be enrolled at a U.S. academic institution, but need not be a U.S. citizen. Proposals from women, minorities, and persons with disabilities are strongly encouraged.
*PI Limit:The proposal must be submitted by the dissertation advisor(s) on behalf of the graduate student who is at the point of initiating or already conducting dissertation research.
Agency Name
National Science Foundation
Description
The National Science Foundation's Division of Behavioral and Cognitive Sciences (BCS), Division of Social and Economic Sciences (SES), National Center for Science and Engineering Statistics (NCSES), and the SBE Office of Multidisciplinary Activities (SMA) award grants to doctoral students to improve the quality of dissertation research. These grants provide funds for items not normally available through the student's university. Additionally, these grants allow doctoral students to undertake significant data-gathering projects and to conduct field research in settings away from their campus that would not otherwise be possible. Proposals are judged on the basis of their scientific merit, including the theoretical importance of the research question and the appropriateness of the proposed data and methodology to be used in addressing the question. In an effort to improve the quality of dissertation research, many programs in both BCS and SES, the Research on Science and Technology Surveys and Statistics program within NCSES, and the Science of Science and Innovation Policy program in SMA accept doctoral dissertation improvement grant proposals. Requirements vary across programs, so proposers are advised to consult the relevant program's webpage for specific information and contact the program director if necessary.The following Programs support dissertation research:Division of Behavioral and Cognitive Sciences (BCS)ArchaeologyCultural AnthropologyDocumenting Endangered LanguagesGeography and Spatial SciencesLinguisticsBiological AnthropologyDivision of Social and Economic Sciences (SES)Decision, Risk and Management SciencesEconomicsLaw and Social ScienceMethodology, Measurement, and StatisticsPolitical ScienceScience, Technology, and SocietySociologyNational Center for Science and Engineering Statistics (NCSES)Research on Science and Technology Surveys and Statistics ProgramSBE Office of Multidisciplinary ActivitiesScience of Science and Innovation PolicyFor a list of cognizant program officers for the programs listed above, please visit the SBE Doctoral Dissertation Contact List.
The following files represent the modifications to this synopsis
with the changes noted within the documents. The list of files is
arranged from newest to oldest with the newest file representing the
current synopsis. Changed sections from the previous document are shown
in a light grey background.
