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U.S. National Institutes of Health·United States of America

Novel Experiential Technologies Assisting Individual Learning (NExT AI) Hubs (P20 Clinical Trial Optional)

Closes 10/2/2026$500k – $1.6MGrants Notice
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Description

The National Institutes of Health (NIH) is seeking applications for the Novel Experiential Technologies Assisting Individual Learning (NExT AI) Hubs initiative. This initiative aims to support research on the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children at risk for or diagnosed with specific learning disabilities. The NExT AI Hubs will include a single Research Project and a Leadership Core that support the goals and aims of the Hub. The initiative seeks to speed the maturation of nascent/novel, high-impact, high-risk research, build an evidence base for the SLD community, and provide project-embedded, career-enhancing research and professional development opportunities. Key aspects of this opportunity include: • The NExT AI Hubs will focus on understudied, highly innovative, and high-risk research topics related to AI technologies and specific learning disabilities. • Applications must include a single Research Project and a Leadership Core. • The initiative aims to integrate research topics relevant to various research programs at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and align with the NICHD Strategic Plan. • Applications must be submitted electronically through the ASSIST system. • The deadline for submission is October 02, 2026.

Attached files

Contact

Virginia Salo(Scientific/Research Contact, Financial/Grants Management Contact)

[email protected], [email protected]

(301) 402-3682

Key dates

Opened
7/8/2025
Closes
10/2/2026
Projected award
12/1/2026
Duration
4 years

Last updated

Details

Type
Grants Notice
Industry
Healthcare and Medical Services
NAICS
541710
Solicitation №
RFA-HD-27-006

Budget estimate

$500,000 – $1,600,000

The estimated funding for this opportunity is $1,600,000, with an award ceiling of none and an award floor of none. The budget estimation is based on the estimated funding amount and the number of awards, which is expected to be 3. The actual budget amount may vary depending on the number of applications received and the quality of the proposals. Factors that may influence the likely payment range include the scope of the research project, the number of personnel involved, and the duration of the project.

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