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Data Collaborative grants is sponsored by University of Michigan, Center for Global Health Equity. These grants support research teams working on AI, data science, and digital health applications for global health equity, prioritizing projects involving co-development with global partner institutions and designed for deployment in low-resource settings.
Proposals should advance the work and goals of the Center's Data Collaborative and address needs identified by collaborators in low- and middle-income settings.
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Or search similar grants →According to the current listing, eligibility includes: Center members; U-M faculty (per stored). Confirm the full requirements in the official notice before applying.
The current listing shows up to $25,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Data Collaborative grants is funded by University of Michigan, Center for Global Health Equity. Verify program details on the funder's official page before applying.
This opportunity targets applicants in Michigan. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
Sensory & Cognitive Health in Aging Grant is sponsored by University of Michigan, Center for Global Health Equity. This grant supports interdisciplinary, co-designed research on sensory and cognitive health and aging in low-resource settings. While the focus is global health, it is open to U-M faculty and encourages projects with global partners.
Impact Accelerator Grants (University of Michigan Center for Global Health Equity) is sponsored by University of Michigan, Center for Global Health Equity. These grants support action-oriented projects that design or test solutions to health equity challenges in low- and middle-income countries. They are open to teams co-led by University of Michigan faculty and global collaborators.
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