Closed · PAR-23-307 · CFDA 93.242 · Discretionary

Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional)

Federal grant opportunity posted by National Institutes of Health, cataloged on Grants.gov.

up to $500K
Award range
Closed
Status
November 1, 2023
Close date
-
Expected awards

The verdict

Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional) is a closed discretionary listing from National Institutes of Health that offered Up to $500,000. Future funding cycles may be published under the same CFDA number.

up to $500K
award range
Closed
application status
93.242
CFDA program

Opportunity snapshot. This Grants.gov announcement - Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional) - is cataloged under number PAR-23-307 and tied to CFDA assistance listing 93.242, posted by National Institutes of Health. Grants.gov currently shows the opportunity as closed, first posted on September 19, 2023. The funding category is Discretionary, delivered as a grant.

Award economics. The award range on file is Up to $500,000. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity closed on November 1, 2023. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.

Award Range

Up to $500,000

Close Date

November 1, 2023

Posted

September 19, 2023

Instrument

Grant

Description

Reissue of PAR-21-263 to comply with DMS Policy. This Notice of Funding Opportunity (NOFO) solicits proposals for research projects that will use computational approaches to test the validity of dimensional constructs in the NIMH Research Domain Criteria matrix (or similar constructs based on comparable criteria). Some elements of the RDoC matrix have been updated since its first release, but a thorough data-driven validation that broadly explores, compares, and validates the constructs within the matrix has not been performed. This NOFO seeks research that addresses the following questions: do the different domains of behavior segregate from each other? How much do they rely on distinct vs. overlapping neural circuits? What are the relationships between domains, constructs and subordinate subconstructs, both in terms of their correlational structure and their underlying neural circuitry? By answering these questions, proposals will test integrative models of functioning and identify dysregulation in psychopathology-related mechanisms that may cut across traditional diagnostic categories and may change over time. This NOFO seeks to promote projects where the computational and the experimental components are well-integrated. The ultimate goal is to advance translational research that will identify novel classification approaches and/or treatment targets, and lead to more effective and timely interventions for serious mental illness.

Eligibility

Grants.gov lists this opportunity under eligibility category codes 00, 01, 02, 04, 05, 06, 07, 08, 11, 12, 13, 20, 22, 23, 25. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NIH Grants Information grantsinfo@nih.gov

Key Dates

Posted September 19, 2023
Close Date November 1, 2023
Archive Date December 7, 2023
Last Updated September 19, 2023

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01 Clinical Trial Optional)", offered by National Institutes of Health. It is associated with CFDA program 93.242. Reissue of PAR-21-263 to comply with DMS Policy. This Notice of Funding Opportunity (NOFO) solicits proposals for research projects that will use computational approaches to test the validity of dimen...
Is this opportunity still open?
No, this opportunity is closed. It closed on November 1, 2023. Check the parent program page for future funding cycles.
How much funding is available?
The award range for this opportunity is Up to $500,000.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants