IPPRA / Grant Monitor

2026-07-07
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Rehabilitation Engineering Research Centers (RERC) Program: RERC on AI-Driven Assistive and Rehabilitation Technologies

HHS-2026-ACL-NIDILRR-REGE-0212 · Administration for Community Living

public health biomedical clinical ai data science education workforce Science & Technology R&D

Closes
2026-07-16 · 9 d
Award ceiling
$975,000
Award floor
$970,000
Program funding
$975,000
Expected awards
1
Cost sharing
No
Posted
2026-06-01
Instrument
Grant
Characterization · gpt-5.4-mini · 2026-07-07

This grant funds research and development of AI-driven assistive and rehabilitation technologies for organizations eligible to improve independence and participation for people with disabilities.

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

⚑ Foreign entities are ineligible. · 60-month project period with five 12-month budget periods.

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

Physical Sciences & Engineering (demo) 90 strong technical depth: central; funds applied research
IPPRA 58 good portfolio topic: public_health (primary); social/behavioral work is minor; funds applied research
Tom Love Innovation Hub 45 partial funds applied research; prototyping/demonstration stage; deep-tech content

Description

The purpose of the Rehabilitation Engineering Research Centers (RERC) program is to improve the effectiveness of services authorized under the Rehabilitation Act by conducting advanced engineering research on and development of innovative technologies that are designed to solve particular rehabilitation problems or to remove environmental barriers. The purpose of this RERC is to conduct research on, develop, and evaluate Artificial Intelligence (AI)-driven assistive and rehabilitation technologies that enhance independence, participation, and quality of life for people with disabilities. Many existing assistive and rehabilitation technologies lack adaptability, personalization, and seamless integration into daily life. AI and machine learning (ML) offer trans-formative potential to address these gaps by enabling smarter, more responsive, and individualized assistive and rehabilitation technologies. AI-driven innovations in assistive and rehabilitation technology can shift them from static tools to dynamic, intelligent systems that continuously learn and adapt in real time to individual preferences, needs, and changing abilities. This grant will have a 60-month project period, with five 12-month budget periods.

Eligibility

States; public or private agencies, including for-profit agencies; public or private organizations, including for-profit organizations; IHEs; and Indian tribes and tribal organizations. Foreign entities are not eligible to compete for, or receive, awards made under this announcement. Faith-based and community organizations that meet the eligibility requirements are eligible to receive awards under this funding opportunity announcement.

Apply

View on Grants.gov → CONTACT: Administration for Community Living <Thomas.Corfman@acl.hhs.gov>

Proposal brief

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

Proposal shell · HHS services agencies (SAMHSA / HRSA / CDC / ACF) conventions

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