IPPRA / Grant Monitor

2026-07-07
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Novel Experiential Technologies Assisting Individual Learning (NExT AI) Hubs (P20 Clinical Trial Optional)

RFA-HD-27-006 · National Institutes of Health

biomedical clinical education workforce ai data science mental behavioral health Health

Closes
2026-10-02 · 87 d
Award ceiling
Award floor
Program funding
$1,600,000
Expected awards
3
Cost sharing
No
Posted
2026-06-03
Instrument
Grant
Characterization · gpt-5.4-mini · 2026-07-07

NIH will fund exploratory hub grants with a research project and leadership core to study how AI technologies affect learning, cognitive, and socio-emotional outcomes in children with or at risk for specific learning disabilities.

Funds
basic research
University
direct
social behavioral
central
physical sciences
minor
engineering
substantial
life biomedical
substantial
computational data
central

⚑ P20 hub mechanism with a required Research Project and Leadership Core · Clinical Trial Optional · Foreign organizations, non-U.S. components of U.S. organizations, and foreign components are not allowed

Unit fits — one characterization, each unit's own rules

IPPRA 92 strong portfolio topic: mental_behavioral_health; social/behavioral work is central; funds basic research
Physical Sciences & Engineering (demo) 90 strong technical depth: central; funds basic research
Tom Love Innovation Hub 15 none deep-tech content; no commercialization signal

Description

This Notice of Funding Opportunity (NOFO) invites exploratory grant applications, hereafter referred to as the Novel Experiential Technologies Assisting Individual learning Hubs or NExT AI Hubs (formerly Learning Disabilities Innovation Hubs), to address the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children diagnosed with or at risk for developing a specific learning disability (SLD) impacting reading, writing, and mathematics. NExT AI Hubs include a single Research Project and a Leadership Core that support the goals and aims of the Hub. This NOFO seeks to serve as a catalyst to 1) speed the maturation of nascent/novel, high-impact, high-risk research that advances understanding of the role AI technology plays in supporting, improving, or limiting the learning, cognitive, and socio-emotional needs of children at risk for or diagnosed with SLDs, 2) build an evidence base for the SLD community to inform policy or practice, and 3) provide project-embedded, career-enhancing research and professional development opportunities to support the next generation of transdisciplinary SLD scientists. This initiative provides opportunities to support planning and building a body of research and corresponding intellectual infrastructure to enable NExT AI investigators to compete for large research and program project opportunities in the future.This NOFO aims to integrate research topics that are of relevance 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. The NOFO intends to build cross-programmatic, transdisciplinary and cross-cutting scientific research, and critically nurture the development of early career investigators capable of conducting this research.

Eligibility

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International Collaborations:Non-domestic (non-U.S.) Entities (Foreign Organization) are not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.

Apply

View on Grants.gov → CONTACT: National Institutes of Health <nichdgrantsmanagement@mail.nih.gov>

Proposal brief

ONE LLM CALL (~1¢) · CACHED · REQUIRES STAFF KEY

Proposal shell · National Institutes of Health conventions

ONE LLM CALL (~2-3¢) · CACHED · SCAFFOLDING, NOT GHOSTWRITING