Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH) (U01 Clinical Trial Optional)

The summary for the Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH) (U01 Clinical Trial Optional) 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. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Institutes of Health, which is the U.S. government agency offering this grant.

Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH) (U01 Clinical Trial Optional): This FOA aims to encourage research using novel behavioral measures to foster a new generation of clinical signatures, leading toward precision assessment, prognosis, and treatment of mental disorders. The initial focus will be to (1) develop or optimize behavioral tasks that measure individual differences and demonstrate added utility for clinical prediction when combined with standard clinical diagnosis; (2) form a data infrastructure that can support computational approaches to build tools for clinical decision making.

Federal Grant Title:	Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH) (U01 Clinical Trial Optional)
Federal Agency Name:	National Institutes of Health (HHS-NIH11)
Grant Categories:	Health
Type of Opportunity:	Discretionary
Funding Opportunity Number:	RFA-MH-23-105
Type of Funding:	Cooperative Agreement
CFDA Numbers:	93.242
CFDA Descriptions:	Information not provided
Current Application Deadline:	June 14th, 2023
Original Application Deadline:	June 14th, 2023
Posted Date:	April 14th, 2023
Creation Date:	April 14th, 2023
Archive Date:	July 20th, 2023
Total Program Funding:
Maximum Federal Grant Award:	$2,500,000
Minimum Federal Grant Award:
Expected Number of Awards:
Cost Sharing or Matching:	No
Last Updated:	April 14th, 2023

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: https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-23-105.html
Grant Announcement Contact: NIH Grants Information
[email protected]
See Section VII. Agency Contacts within the full opportunity announcement for all other inquires.
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