| Funding Opportunity ID: |
329941 |
| Opportunity Number: |
21-530 |
| Opportunity Title: |
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data 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: |
|
| CFDA Number(s): |
47.041
47.049
47.070
47.075
93.172
93.173
93.213
93.242
93.279
93.286
93.361
93.396
93.846
93.847
93.853
93.859
93.865
93.866
93.867
93.879 |
| 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. |
| Agency Code: |
NSF |
| Agency Name: |
National Science Foundation |
| Posted Date: |
Nov 20, 2020 |
| Close Date: |
Feb 16, 2021 |
| Last Updated Date: |
Nov 20, 2020 |
| Award Ceiling: |
$1,200,000 |
| Award Floor: |
$0 |
| Estimated Total Program Funding: |
$20,000,000 |
| Expected Number of Awards: |
16 |
| Description: |
The purpose of this interagency program solicitation is to support the development of transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics,behavioral and/or cognitive researchto address pressing questions in the biomedical and public health communities. Transformations hinge on scientific and engineering innovations by interdisciplinary teams that develop novel methods to intuitively and intelligently collect, sense, connect, analyze and interpret data from individuals, devices and systems to enable discovery and optimize health. Solutions to these complex biomedical or public health problems demand the formation of interdisciplinary teams that are ready to address these issues, while advancingfundamental science and engineering. |
| Version: |
1 |
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