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The Patrick J. McGovern Foundation Data Practice Accelerator provides grants of up to $125,000 to nonprofits with complex datasets that are ready to deepen their data practice and build toward AI readiness.
This program is distinct from the foundation's larger AI Fluency and Capacity Building grants ($100K-$750K) and focuses specifically on helping organizations develop the data infrastructure, skills, and practices needed to responsibly adopt AI tools. The accelerator supports organizations across the foundation's priority areas including climate action, health equity, economic solidarity, human rights, and crisis response.
Applications are accepted on a rolling basis with a current deadline of July 1, 2026. The McGovern Foundation, with $1. 6+ billion in assets and $75.
8 million in FY2025 charitable spend, is one of the largest private funders of AI-for-good initiatives globally.
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Or search similar grants →According to the current listing, eligibility includes: Nonprofits with complex datasets and demonstrated readiness to deepen their data practice. Organizations must align with the McGovern Foundation's strategic focus areas: climate action, health equity, economic solidarity, digital work dignity, human rights, media innovation, and AI literacy. Confirm the full requirements in the official notice before applying.
The current listing shows up to $125,000 per grant for nonprofits with complex datasets and readiness to deepen their data practice. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 1, 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 for AI-Ready Nonprofits is funded by Patrick J. McGovern Foundation. Verify program details on the funder's official page before applying.
This listing is flagged as international in scope. Check the official notice for country-specific restrictions before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Patrick J. McGovern Foundation Data Practice Accelerator Program is a grant from the Patrick J. McGovern Foundation that funds nonprofits seeking to advance their data and AI capabilities. Awards reach up to $125,000 and are paired with hands-on technical partnerships: selected organizations work directly with PJMF data engineers and technologists to prepare data assets, develop infrastructure, and translate complex datasets into actionable strategy. Eligible applicants are nonprofits at any stage of data readiness with complex datasets. Alongside funding, grantees receive long-term technical assistance and access to data science expertise to help build and sustain high-impact, AI-driven programs. The application deadline is July 1, 2026.
AI Fluency (various projects) is sponsored by The Patrick J. McGovern Foundation. The Patrick J. McGovern Foundation funds organizations applying AI to climate resilience, human rights, health equity, and crisis response. Specific past grants include strengthening AI literacy among young people and introducing high school students to AI literacy through tech-enabled experiential learning.
CIFAR and the Canadian AI Safety Institute fund Catalyst Project proposals addressing sociotechnical considerations in AI safety. The program supports interdisciplinary research in machine learning applications to science and society, with recent funded projects spanning misinformation combat, trustworthy language models, democratic alignment of AI systems, Indigenous AI governance, and real-world safety in autonomous systems. Designed to catalyze new research areas and collaborations at the intersection of social sciences, humanities, and AI safety.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.