RFA: Pilot Projects from Center to Accelerate Population Research in Alzheimer’s (CAPRA)

Announcement

The University of Michigan’s Center to Accelerate Population Research in Alzheimer’s (CAPRA) Pilot Awardee program will be accepting proposals for funding, starting in October 2021. The deadline to submit proposals will be December 3rd, 2021.

The CAPRA Pilot Core is seeking novel, population-based pilot projects that aim to reduce the health and financial burden of dementia and improve government and healthcare organization policy. In addition to financial support, the Pilot Core will provide technical assistance and project guidance to investigators transitioning into Alzheimer’s Disease and Alzheimer’s Disease Related Dementias (AD/ADRD) research.

CAPRA’s overarching goal is to serve as a national resource to promote and accelerate multidisciplinary research that informs the actions governments, healthcare systems and providers can take to reduce the social, economic, and health burden of AD/ADRD.

We will select and support pilot studies from a diverse set of investigators that not only fit CAPRA’s themes but also have the best chance to develop into externally funded research projects and be most influential for understanding and treating ADRDs in population health. We welcome pilot studies across many disciplines, including established investigators transitioning into AD/ADRD research. To reduce barriers to entry for Alzheimer’s population and healthcare research, CAPRA will provide not only funding for pilots but also access to expertise, methods, and in some cases data.

Applications will need to address four issues: how the pilot study can develop into an externally funded grant; which CAPRA themes the pilot aligns with; which CAPRA resources will be of benefit to the pilot; and how the pilot is innovative.

CAPRA’s Four Themes:
1) Healthcare delivery and policy effects on outcomes and quality for persons with dementia,
2) Diffusion of new technologies,
3) Disparities in quality and access to care, and
4) Innovative applications of population data.

Please see the application details for more information.