| Funding Opportunity ID: |
324019 |
| Opportunity Number: |
20-540 |
| Opportunity Title: |
NSF-Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning |
| Opportunity Category: |
Discretionary |
| Opportunity Category Explanation: |
|
| Funding Instrument Type: |
Grant |
| Category of Funding Activity: |
Science and Technology and other Research and Development |
| Category Explanation: |
|
| CFDA Number(s): |
47.041
47.049
47.070 |
| Eligible Applicants: |
Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: |
*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities. -Institutions of Higher Education (IHEs) – Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. *Who May Serve as PI: There are no restrictions or limits for the allowable organizations listed above. Federal agencies and federally funded research and development centers (FFRDCs) can only participate as subawardees. FFRDCs and federal agency scientists cannot serve as lead PI. Non-NSF sponsored FFRDCs are required to provide a letter of collaboration from their agency as a Supplementary Document, as described in section V.A of this solicitation. |
| Agency Code: |
NSF |
| Agency Name: |
National Science Foundation |
| Posted Date: |
Jan 30, 2020 |
| Close Date: |
Apr 30, 2020 |
| Last Updated Date: |
Jan 30, 2020 |
| Award Ceiling: |
$0 |
| Award Floor: |
$0 |
| Estimated Total Program Funding: |
$20,000,000 |
| Expected Number of Awards: |
|
| Description: |
The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and the Simons Foundation Division of Mathematics and Physical Sciences will jointly sponsor up to two new research collaborations consisting of mathematicians, statisticians, electrical engineers, and theoretical computer scientists. Research activities will be focused on explicit topics involving some of the most challenging questions in the general area of Mathematical and Scientific Foundations of Deep Learning. Each collaboration will conduct training through research involvement of recent doctoral degree recipients, graduate students, and/or undergraduate students from across this multi-disciplinary spectrum. Annual meetings of the Principal Investigators (“PIs”) and other principal researchers involved in the collaborations will be held at the Simons Foundation in New York City. This program complements NSF's National Artificial Intelligence Research Institutes program by supporting collaborative research focused on the mathematical and scientific foundations of Deep Learning through a different modality and at a different scale. |
| Version: |
1 |
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