$40Million Available For Artificial Intelligence And Transformative Technology Innovators To Improve Care And Health Outcomes For Older Americans

America is getting older faster. According to the U.S. Census Bureau, the number of people aged 65 or older in the United States will grow to 95 million by the year 2060 and will account for nearly on quarter of the population. Artificial intelligence (AI) and technology solutions have a significant potential to transform quality of life and improve health care outcomes for older Americans, including those with Alzheimer’s Disease and Related Dementias (AD/ADRD).

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To meet this challenge, the AI/Tech + Aging (a2) Collective is announcing the a2 Pilot Awards, a national competition that will earmark $40 million over the next 5 years for promising pilot projects that leverage AI and other transformative technology to support healthy aging and persons living with AD/ADRD. The a2 Collective represents the National Institute on Aging’s (NIA) Artificial Intelligence and Technology Collaboratories for Aging Research (AITC) program, which is dedicated to helping Americans live longer, better through the application of AI and emerging technologies.

“AI and transformative technology that supports America’s aging population is projected to be a multi- trillion dollar market opportunity,” says Stephen Liu, a2 Collective’s Managing Director – Head of Marketing & Business Development. “Tech giants and AI startups cannot afford to overlook how this demographic will interact with the emerging #AgeTech economy.”

The a2 Pilot Awards is funded by the NIA through three AITCs at Johns Hopkins University, the University of Massachusetts–Amherst, and the University of Pennsylvania, with coordination support provided by Rose Li & Associates, Inc. Pilot applicants can request up to $200,000 in non-dilutive direct costs to be expended within a 12-month period, with multi-year commitments and time extensions determined by the awarding AITC.

Each AITC will offer pilot awardees access to a wealth of resources, translational services, and state-of the art facilities, including software and hardware platforms, data sets, and population study sites.

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