Submission Deadline 07/16/2026
Fiscal Capacity $50,135,013
| Opportunity Number | HHS-2026-ACL-NIDILRR-REGE-0212 |
|---|---|
| Agency | HHS-ACL |
| Application Deadline | 07/16/2026 |
| Award Amount | $50,135,013 |
| Status | Posted |
| Sector | Health |
| Award Floor | $970,000 |
| Cost Sharing | Not Required |
Fiscal Parameters & Taxonomy
Authority HHS-ACL
Status Posted
Who Can Apply
Private institutions of higher education Special district governments City or township governments Small businesses State governments For profit organizations other than small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Native American tribal governments (Federally recognized) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Others (see text field entitled "Additional Information on Eligibility" for clarification) County governments Public and State controlled institutions of higher education
Eligibility Intelligence
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.
Program 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.
CFDA Programs
93.433 ACL National Institute on Disability, Independent Living, and Rehabilitation Research
Agency Contact
Related Intelligence Guides
In-depth editorial guides covering this agency's programs, eligibility requirements, and application strategies.