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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.
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Search similar grants →According to the current listing, eligibility includes: Led by researchers in social sciences and humanities (SSH) whose work addresses pressing social, ethical, and governance considerations of AI safety. Applicants must have faculty affiliation at Canadian universities. Expertise in SSH disciplines required with focus on AI safety implications. Confirm the full requirements in the official notice before applying.
The current listing shows up to CAD $70,000 per year for up to two years (approximately USD $51,000 per year, up to $102,000 total). Decisions released in January 2026. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The most recent published deadline was November 14, 2025, which has passed. This is an annual program, so a new cycle should follow. Check the funder's website for the next application window.
CIFAR AI Safety Catalyst Grants for Sociotechnical AI Research is funded by Canadian Institute for Advanced Research (CIFAR) and Canadian AI Safety Institute (CAISI). 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.
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.
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.
The Climate Change AI Innovation Grants program supports catalytic projects using AI and machine learning for climate action, funding research and deployment challenges in climate change mitigation, adaptation, and climate science. Projects must create publicly available datasets and tools as digital public goods, and release open-source code. The program builds partnerships between academic researchers, non-profits, startups, companies, and governmental organizations to accelerate the research-to-deployment cycle. Past funded projects span climate modeling, emissions monitoring, renewable energy optimization, and disaster prediction across all continents.
Congress gave NIST $55 million for AI safety research and a permanent standards center. CAISI now has 17 AI Action Plan taskings, a MITRE partnership, and growing influence over how AI gets built. Here's how researchers and companies can engage.
Read articleOn June 1, DARPA and NSF announced AI Forge — a jointly governed forum that will fund university-led research on three thrusts: AI interpretability, AI control, and adversarial robustness. The RFI on sam.gov closes June 22, 2026, at 5:00 PM ET. Project Ventures awards run roughly \$750K to \$3M with one-year durations and multiple awards expected annually. Administration runs through a nonprofit, intellectual property will be shared via open-source licensing, and CAISI at NIST is the third partner. Here is what the 15 priority research challenges look like and how U.S. universities should respond.
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