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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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Or 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 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.
Climate Change AI Innovation Grants provide seed funding for research, deployment, and the creation of datasets and tools that address climate change mitigation, adaptation, and climate science using AI and machine learning. Supported areas include power and energy systems, agriculture and food, climate science and modeling, weather prediction, ecosystems and biodiversity monitoring, remote sensing, disaster management, carbon capture, oceans, forests, and transportation. Projects are expected to produce publicly available datasets and tools.
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