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Interdisciplinary Research Development Awards

°¿±¹±ð°ù±¹¾±±ð·É:ÌýMcCAIS serves as a mechanism for the university to bring a critically needed holistic approach to the many challenges and opportunities where AI and Society meet, by facilitating strategic integration of McGill’s various distributed strengths around the AI/Society interface, in both research and education. The purpose of these awards is to encourage interdisciplinary research aimed at understanding and positively influencing the impact of AI on Society, necessarily drawing on not only technological aspects but also those related (but not limited) to arts, decision-making, health and oral health, law and policy.

Call for Proposals are open for 2025!

ÌýApply Here

Application Requirements:Ìý

  • Applications are open to members of all McGill faculties.
  • The Principal Investigator (PI)Ìýmust be an activeÌýMcGill faculty member.
  • Teams must include primarily active members of McGill.
  • Eligible costs are (i) HR compensation (stipends, salaries and benefits for students/post-docs) and (ii) research community engagement expenses (e.g. workshops, etc.).ÌýIt is not intended for equipment purchases or course releases.

To discuss the alignment of ideas with the goals of this funding program, lead applicantsÌýare strongly encouraged to contact McCAIS (mccais.science [at] mcgill.ca) with an initial statement of interest as early as possible.

Exploratory Phase: for teams starting new collaborations and in the initial stages of exploring a convergent theme. Emphasis is on the exchange of knowledge and ideas necessary for determining future directions and their viability.ÌýValue and Duration: up to $10,000, One calendar year.

Proof of Concept: Aimed at well-formed teams building initial proof of concept around a well-defined convergent theme. Emphasis is on the implementation of a short program with a specific outcome, which will show viability for a full-scale convergent theme.ÌýValue and Duration:Ìýup to $20,000, One calendar year.

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For any further information, please contact us at mccais.science [at] mcgill.ca .

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