Research and Implementation Symposium, July 20-21 2026, Montreal

Areal view of Montreal with greenery in the foreground and high rise building in the distance and blue sky with a few clouds.

Areal  view of Montreal – photo credit “Jackie Hutchinson” unsplash.com

The 2026 AI4PH Research and Implementation Symposium will bring together researchers, practitioners, and other stakeholders with an interest in the use of Artificial Intelligence in Public Health. This two-day event will begin with a day of workshops to provide hands-on experience in methods in AI. Day 2 will provide a venue for research presentations and implementation reports, highlighting advances in AI methods in Public Health and describing real-world implementations of AI in public health settings.

EVENT RegistRATION NOW OPEN, CALL FOR ABSTRACTS OPEN

EVENT REGISTRATION: Registration is open to all. Register here: https://face2faceevents.swoogo.com/AI4PH2026

ABSTRACT SUBMISSION: For detail on how to submit an abstract, please see the  Call for Abstracts Guidelines – AI4PH 2026

DEADLINE FOR ABSTRACT SUBMISSIONS: April 24, 2026
NOTIFICATION FOR SUCCESSFUL SUBMISSIONS: May 15, 2026

 

Cars park on a street in Montreal overlooked by a Leonard Cohen mural.

Cars parked on a street in Montreal overlooked by a Leonard Cohen mural.  Photo credit “Slava Abramovitch”, unsplash.com.

HOW TO SUBMIT AN application or register

Call for Abstracts is now open, please follow this link for full instructions: Call for Abstracts Guidelines – AI4PH 2026

What to ATTEND? Register here: https://face2faceevents.swoogo.com/AI4PH2026

FAQs


I don’t want to submit an abstract, can I still attend?
⇒ Yes you can: register here: https://face2faceevents.swoogo.com/AI4PH2026

How much will it cost to attend the Symposium?
⇒ It is $50 CAD for students and $100 CAD for everyone else

When is the deadline for abstract submissions?
⇒ Abstracts must be submitted by April 24, 2026 

When will I know if my submission has been accepted?
⇒ Notifications will go out by May 15, 2026

 

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About

AI4PH is focused on building capacity in AI and big data skills for transformative change in addressing population and public health challenges, and understanding how these tools impact health equity.

Contact

155 College St, 6th Floor
University of Toronto,
Toronto, ON M5T 3M7

ai4ph.dlsph@utoronto.ca

@ai4ph.bsky.social

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