Funding Opportunity ID: |
330600 |
Opportunity Number: |
RFA-DA-21-041 |
Opportunity Title: |
Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R21 – Clinical Trials Not Allowed) |
Opportunity Category: |
Discretionary |
Opportunity Category Explanation: |
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Funding Instrument Type: |
Grant |
Category of Funding Activity: |
Education Health |
Category Explanation: |
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CFDA Number(s): |
93.279 |
Eligible Applicants: |
State governments County governments City or township governments Special district governments Independent school districts Public and State controlled institutions of higher education Native American tribal governments (Federally recognized) Public housing authorities/Indian housing authorities Native American tribal organizations (other than Federally recognized tribal governments) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Private institutions of higher education For profit organizations other than small businesses Small businesses Others (see text field entitled “Additional Information on Eligibility” for clarification) |
Additional Information on Eligibility: |
Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession. |
Agency Code: |
HHS-NIH11 |
Agency Name: |
Department of Health and Human Services National Institutes of Health |
Posted Date: |
Dec 28, 2020 |
Close Date: |
Feb 09, 2021 |
Last Updated Date: |
Dec 28, 2020 |
Award Ceiling: |
$0 |
Award Floor: |
$0 |
Estimated Total Program Funding: |
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Expected Number of Awards: |
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Description: |
The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology. |
Version: |
1 |