Opportunity ID: 252444
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | 14-543 |
Funding Opportunity Title: | Critical Techniques and Technologies for Advancing Big Data Science & Engineering |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Cooperative Agreement |
Category of Funding Activity: | Science and Technology and other Research and Development |
Category Explanation: | – |
Expected Number of Awards: | 30 |
Assistance Listings: | 47.041 — Engineering Grants |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 1 |
Posted Date: | Mar 12, 2014 |
Last Updated Date: | – |
Original Closing Date for Applications: | Jun 09, 2014 Full Proposal Deadline(s): June 09, 2014 |
Current Closing Date for Applications: | Jun 09, 2014 Full Proposal Deadline(s): June 09, 2014 |
Archive Date: | Jul 09, 2014 |
Estimated Total Program Funding: | $23,000,000 |
Award Ceiling: | $2,000,000 |
Award Floor: | $600,000 |
Eligibility
Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
Additional Information on Eligibility: | – |
Additional Information
Agency Name: | U.S. National Science Foundation |
Description: | This year, the solicitation invites two types of proposals: “Foundations” (F): those developing or studying fundamental techniques, theories, methodologies, and technologies of broad applicability to Big Data problems; and “Innovative Applications” (IA): those developing techniques, methodologies and technologies of key importance to a Big Data problem directly impacting at least one specific application.?? All proposals must address critical challenges for big data management, big data analytics, or scientific discovery processes impacted by big data. These techniques, methodologies and technologies can be computational, statistical, or mathematical in nature, and proposals may focus on novel theoretical analysis or experimental evaluation of these techniques and methodologies. A high level of innovation is expected in all proposals. Proposals in all areas of science and engineering covered by participating directorates at NSF are welcome.
This solicitation is a part of a larger national “Big Data Initiative”, which covers a wide range of topics: big data infrastructure; education and workforce development; and multi-disciplinary collaborative teams and communities that address complex scientific, biomedical and engineering grand challenges.?? Before preparing a proposal in response to this BIGDATA solicitation, applicants are strongly urged to consult the list of related solicitations available at: http://www.nsf.gov/cise/news/bigdata.jsp??and??consult the respective NSF program officers listed in them should those solicitations be more appropriate.?? In particular, applicants interested in deployable cyberinfrastructure pilots that would support a broader research community should see the Data Infrastructure Building Blocks (DIBBS) solicitation (http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504776 ). Applicants should also consider the Computational and Data Enabled Science and Engineering (CDS&E, PD 12-8084) solicitations for potential fit (http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504813&org=ENG&sel_org=ENG&from=fund ). Proposals submitted to the “Innovative Applications” (IA) category must specify one or more relevant participating NSF directorates in the Project Summary. |
Link to Additional Information: | NSF Publication 14-543 |
Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Version History
Version | Modification Description | Updated Date |
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Related Documents
Packages
Agency Contact Information: | NSF grants.gov support grantsgovsupport@nsf.gov Email: grantsgovsupport@nsf.gov |
Who Can Apply: | Organization Applicants |
Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
---|---|---|---|---|---|---|
47.076 | PKG00193880 | Mar 12, 2014 | Jun 09, 2014 | View |