Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program [T32]
The summary for the Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program [T32] grant is detailed below.
This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants.
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Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program [T32]: This FOA solicits applications for new Behavioral and Social Sciences Research (BSSR) predoctoral training programs that focus on innovative computational and/or data science analytic approaches and their incorporation into training for the future BSSR health research workforce. The vision of the Advanced Data Analytics for BSSR training program is to support the development of a cohort of specialized predoctoral candidates who will possess advanced competencies in data science analytics to apply to an increasingly complex landscape of behavioral and social health-related big data.
Federal Grant Title: | Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program [T32] |
Federal Agency Name: | National Institutes of Health (HHS-NIH11) |
Grant Categories: | Education Food and Nutrition Health Income Security and Social Services |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | RFA-OD-19-011 |
Type of Funding: | Grant |
CFDA Numbers: | 93.233, 93.242, 93.273, 93.279, 93.307, 93.361, 93.398, 93.837, 93.838, 93.839, 93.840, 93.847, 93.865, 93.866, 93.879 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | May 25th, 2019 |
Original Application Deadline: | May 25th, 2019 |
Posted Date: | October 3rd, 2018 |
Creation Date: | October 3rd, 2018 |
Archive Date: | June 30th, 2019 |
Total Program Funding: | |
Maximum Federal Grant Award: | |
Minimum Federal Grant Award: | |
Expected Number of Awards: | |
Cost Sharing or Matching: | No |
Last Updated: | October 3rd, 2018 |
- Applicants Eligible for this Grant
- 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; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.
- Link to Full Grant Announcement
- http://grants.nih.gov/grants/guide/rfa-files/RFA-OD-19-011.html
- Grant Announcement Contact
- NIH OER Webmaster
[email protected]
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