“Accelerating interdisciplinary AI research”In its own words: cifar.ca
A CIFAR grants programme for interdisciplinary machine-learning research, run under the Pan-Canadian AI Strategy that CIFAR has led since 2017. A minority of funded projects address AI safety.
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CIFAR funds new interdisciplinary machine learning research and collaborations through periodic calls. Recent rounds have included AI safety themes, such as the 2025 'Ensuring Real-World Safety in AI Systems' and 'Trustworthy & Interpretable LLMs' groups, and 2026 projects on deceptive alignment and AI certification.
On applying “CIFAR AI Catalyst Grants are designed to catalyze new research areas and collaborations in machine learning and its application to different areas of science and society.” cifar.ca
Money flows
Where its money came from and where it went. Pick years and what to show; hover a box or ribbon for details, click one to focus it, click the background to see everything.
How to apply
- Applications
- Closed
Past calls closed in mid-November - Who can apply
- Academics
- Where
- Each PI needs a faculty post at a Canadian university; foreign collaborators can join.
Periodic calls; the page points to upcoming catalyst grant calls (contact via the programme page).