Opportunity ID: 229094
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0000895 |
| Funding Opportunity Title: | Uncertainty Quantification Methodologies for Enabling Extreme-Scale Science |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 81.049 — Office of Science Financial Assistance Program |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Apr 03, 2013 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | May 24, 2013 |
| Current Closing Date for Applications: | May 24, 2013 |
| Archive Date: | Aug 23, 2013 |
| Estimated Total Program Funding: | $0 |
| Award Ceiling: | $0 |
| Award Floor: | $0 |
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: | All types of applicants are eligible to apply, except Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995. |
Additional Information
| Agency Name: | Office of Science |
| Description: | The Advanced Scientific Computing Research (ASCR) program of the Office of Science (SC), U.S. Department of Energy (DOE), hereby invites proposals for basic mathematical, statistical and computational research that significantly advances uncertainty quantification methodologies for enabling extreme-scale science.
The purpose of this FOA is to invite proposals in ASCR Applied Mathematics basic research that significantly advance uncertainty quantification (UQ) methodologies as an enabling technology in extreme-scale scientific computing. UQ broadly refers to the end-to-end study of the accuracy, reliability, development and effective use of computational models in making scientific inferences. Mathematically rigorous UQ methodologies are essential to a wide range of DOE science and engineering applications in carrying out predictions, design optimization, decision making, or other high-level tasks. UQ relies on a broad range of applied mathematics and statistics research, along with algorithmic and computational developments, and subject matter expertise, to enable an appropriate level of confidence in the use of computational models for scientific investigations. A companion Program Announcement to DOE Laboratories (LAB 13-895) will be posted on the SC Grants and Contracts web site at: http://www.science.doe.gov/grants The full text of the Funding Opportunity Announcement (FOA) is located on FedConnect. Instructions for completing the Grant Application Package are contained in the full text of the FOA which can be obtained at: https://www.fedconnect.net/FedConnect/?doc=DE-FOA-0000895&agency=DOE. |
| Link to Additional Information: | FedConnect |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Steven L. Lee, Technical-Scientific Program Contact, 301-903-5710
steven.lee@science.doe.gov Email:steven.lee@science.doe.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
Packages
| Agency Contact Information: | Steven L. Lee, Technical-Scientific Program Contact, 301-903-5710 steven.lee@science.doe.gov Email: steven.lee@science.doe.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 81.049 | DE-FOA-0000895 | Uncertainty Quantification Methodologies for Enabling Extreme-Scale Science | PKG00172259 | Apr 03, 2013 | May 24, 2013 | View |
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