Resource Implementations for Data Intensive Research in the Social Behavioral and Economic Sciences
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Resource Implementations for Data Intensive Research in the Social Behavioral and Economic Sciences: As part of NSF’s Cyberinfrastructure Framework for 21<sup>st</sup> Century Science and Engineering (CIF21) activity, the Directorate for Social, Behavioral and Economic Sciences (SBE) seeks to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study. Successful proposals will, within the financial resources provided by the award, construct such databases and/or relevant analytic techniques and produce a finished product that will enable new types of data-intensive research. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by enabling new types of data-intensive research in the SBE sciences.
Federal Grant Title: | Resource Implementations for Data Intensive Research in the Social Behavioral and Economic Sciences |
Federal Agency Name: | National Science Foundation |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | 15-602 |
Type of Funding: | Grant |
CFDA Numbers: | 47.075 |
CFDA Descriptions: | Social, Behavioral, and Economic Sciences |
Current Application Deadline: | Feb 29, 2016 |
Original Application Deadline: | Feb 29, 2016 |
Posted Date: | Aug 21, 2015 |
Creation Date: | Aug 21, 2015 |
Archive Date: | Mar 29, 2017 |
Total Program Funding: | $4,500,000 |
Maximum Federal Grant Award: | none |
Minimum Federal Grant Award: | none |
Expected Number of Awards: | 4 |
Cost Sharing or Matching: | No |
- Applicants Eligible for this Grant
- Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
- Link to Full Grant Announcement
- NSF Publication 15-602
- Grant Announcement Contact
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[email protected]
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