BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)
The summary for the BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed) 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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BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed): This FOA solicits new theories, computational models, and statistical tools to derive understanding of brain function from complex neuroscience data. Proposed tools could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting dynamical features and patterns in complex brain data. It is expected that the tools developed under this FOA will be made widely available to the neuroscience research community for their use and modification. Investigative studies should be limited to validity testing of the tools being developed.
| Federal Grant Title: | BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed) |
| Federal Agency Name: | National Institutes of Health (HHS-NIH11) |
| Grant Categories: | Education Health Income Security and Social Services |
| Type of Opportunity: | Discretionary |
| Funding Opportunity Number: | RFA-EB-17-005 |
| Type of Funding: | Grant |
| CFDA Numbers: | 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865 |
| CFDA Descriptions: | Information not provided |
| Current Application Deadline: | October 17th, 2019 |
| Original Application Deadline: | October 17th, 2019 |
| Posted Date: | October 12th, 2017 |
| Creation Date: | October 12th, 2017 |
| Archive Date: | November 22nd, 2019 |
| Total Program Funding: | |
| Maximum Federal Grant Award: | |
| Minimum Federal Grant Award: | |
| Expected Number of Awards: | |
| Cost Sharing or Matching: | No |
| Last Updated: | October 12th, 2017 |
- 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.
- Link to Full Grant Announcement
- http://grants.nih.gov/grants/guide/rfa-files/RFA-EB-17-005.html
- Grant Announcement Contact
- NIH OER Webmaster
[email protected]
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