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"Patrick J. McGovern Foundation Data Practice Accelerator Program for Nonprofit AI and Data Science Capacity Building" is currently closed and not accepting applications.
The Patrick J. McGovern Foundation's Data Practice Accelerator funds nonprofits and social-impact organizations seeking to advance their data science and AI capabilities. The program builds technical capacity and a data-use culture at organizations tackling humanity's biggest challenges, including climate, health, human rights, journalism, and digital literacy.
Grants combine financial support with hands-on technical assistance and access to the Foundation's network of data and AI experts. Applications are reviewed on a rolling basis, with the current cycle accepting submissions through July 1, 2026.
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Or search similar grants →According to the current listing, eligibility includes: Nonprofit organizations and social-impact entities with complex existing datasets and organizational readiness to deepen internal data and AI practice. Domestic and international nonprofits eligible. Applicants should articulate how additional data and AI capacity will translate into mission impact. Confirm the full requirements in the official notice before applying.
The current listing shows per-award grants of up to $125,000 USD for nonprofits with complex datasets and demonstrated readiness to deepen their data practice. Applications accepted on a rolling basis. Part of the Foundation's broader $75.8 million 2026 commitment across 149 AI-for-good grants. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 2, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Patrick J. McGovern Foundation Data Practice Accelerator Program for Nonprofit AI and Data Science Capacity Building is funded by Patrick J. McGovern Foundation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Schmidt Sciences' AI Impact on Jobs program supports rigorous interdisciplinary research on how generative AI and AI agents are reshaping employment, occupational tasks, wages, productivity, and labor markets. Funded scope includes empirical measurement of AI adoption across industries and occupations, task-level analyses of AI capabilities and displacement, longitudinal studies of worker outcomes, AI's effects on inequality and labor market polarization, evaluation of reskilling and transition programs, AI's role in entrepreneurship and small business productivity, and policy-relevant work on social safety nets and labor regulation in an AI economy.
Path to a Cure Research Grant is a grant from Cystic Fibrosis Foundation that funds basic science research aimed at restoring CFTR protein function or developing gene-based approaches to treat cystic fibrosis. The program specifically targets projects proposing restoration of CFTR protein function or approaches to fix or replace the defective CFTR gene. Awards provide up to $150,000 per year (plus 12% indirect costs) for up to two years, with grants competitively renewable for additional funding. Eligible applicants are independent investigators at for-profit and nonprofit institutions. Proposals must be hypothesis-driven with sufficient preliminary data. The fall cycle deadline is November 15, 2026.