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CIFAR AI Catalyst Grants, part of Canada's Pan-Canadian AI Strategy, provide flexible short-term funding to catalyze new research areas and interdisciplinary collaborations in machine learning and its application across science and society.
Recent priority themes include AI safety and alignment, misinformation and information integrity, trustworthy and interpretable large language models, real-world safety in AI systems, and democratic governance and AI. The grants spur collaborations among Canadian universities, research institutes, and international partners, with calls issued periodically.
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Or search similar grants →According to the current listing, eligibility includes: Researchers connected to Canada's AI research ecosystem, including those at Canadian universities and the national AI institutes (Amii, Mila, Vector Institute), often in collaboration with international partners. Specific eligibility is defined per call. Confirm the full requirements in the official notice before applying.
The current listing shows flexible, targeted short-term funding to seed new research areas and collaborations; award size is set per call and is not fixed publicly. Recent CIFAR catalyst-style awards have typically ranged up to roughly CAD $100,000 (approximately $25,000 to $75,000 USD per project). Verify award ceilings, matching requirements, and allowable costs in the official notice.
CIFAR AI Catalyst Grants for Machine Learning Research and Collaborations is funded by Canadian Institute for Advanced Research (CIFAR). 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.
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