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CIFAR AI Catalyst Grants

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Accelerating interdisciplinary AI research projects.

In January 2020, CIFAR issued a call for proposals for AI Catalyst Grants to catalyze new research areas and collaborations in machine learning and its application to different areas of science and society.

The grants support new collaborative research and exchange with current Canada CIFAR AI Chairs and provide up to $50,000 per year for up to two years.

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Nine proposals were selected in the first round of CIFAR AI Catalyst Grants. 

Preference was given to:

  • Proposals that are multidisciplinary (i.e. co-investigators come from different disciplines); and/or

  • Proposals that advance training opportunities for underrepresented groups; and/or

  • Proposals that include early-career investigators

In partnership with the RBC Foundation, two CIFAR AI Catalyst Grants were awarded to support research in the areas of privacy, accountability, transparency and bias in machine learning.

About the National Program of Activities

The National Program of the CIFAR Pan-Canadian AI Strategy brings together AI researchers and trainees from across the country to share ideas, foster collaboration, advance knowledge and drive Canada’s leadership in AI research and innovation. We offer training opportunities on the latest technical advances and social considerations of the applications of AI; an annual conference to bring our national community together; and other programs and activities to support and advance Canadian AI research. Our programs are open to all Canadian researchers and trainees who are interested in AI research. We aim to support world-leading AI training, research and innovation while at the same time, fostering the values of equity, diversity and inclusion and social responsibility in AI research.

In partnership with:


Support Us

CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.

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