BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CSPC - ECPv6.16.5.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://sciencepolicy.ca
X-WR-CALDESC:Events for CSPC
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260721T133000
DTEND;TZID=America/Toronto:20260721T150000
DTSTAMP:20260610T210217Z
CREATED:20260512T141611Z
LAST-MODIFIED:20260610T210217Z
UID:33775-1784640600-1784646000@sciencepolicy.ca
SUMMARY:Canada’s AI Advantage: Why It Exists—and What It Will Take to Scale It
DESCRIPTION:Register HereCanada has established itself as a global leader in artificial intelligence research and talent development. Yet despite these strengths\, translating that advantage into broad-based economic and societal impact remains uneven. \nThis panel will examine how Canada can more effectively move from discovery to deployment—closing the gap between research excellence and real-world adoption. Bringing together leaders from academia\, national AI institutes\, and industry\, the discussion will explore where the system is working\, where it is falling short\, and what it will take to scale impact. \nA central focus will be on how talent\, research\, and industry can be more tightly connected—ensuring that students\, researchers\, and companies are working together on real-world challenges earlier and more often. Drawing on practical experience\, panelists will highlight models that accelerate adoption\, strengthen talent pipelines\, and enable organizations to apply AI in meaningful\, measurable ways. \nAttendees will gain insights into: \n\nWhat is actually driving AI adoption in practice\, including approaches that embed talent within real-world environments to accelerate innovation and reduce barriers to implementation \nHow Canada can better align its research\, training\, and industry needs\, ensuring that highly qualified talent is equipped to contribute to applied AI and commercialization \nWhat systemic changes are needed to scale impact\, from institutional incentives within academia to national strategies that support adoption\, competitiveness\, and long-term growth \n\nThis session will move beyond potential to focus on execution—highlighting how Canada can convert its AI leadership into sustained economic and societal advantage. \nSpeaker information coming soon!Eva ReddingtonVice President\, Policy\, Program Development & Government Relations\, MitacsSee Bio× Eva Reddington\nVice President\, Policy\, Program Development & Government Relations\, Mitacs \nElissa StromeExecutive Director of the Pan-Canadian Artificial Intelligence Strategy\, CIFARSee Bio×Elissa StromeElissa Strome is the Executive Director of the Pan-Canadian Artificial Intelligence Strategy at CIFAR. She works with leaders at Canada’s three National AI Institutes in Edmonton (Amii)\, Montreal (Mila)\, and Toronto (Vector Institute) and across the country to advance Canada’s leadership in AI research\, training and innovation. She is a champion of equity\, diversity and inclusion in science\, and an ambassador for Canada’s position in AI research\, innovation\, and policy internationally. Elissa is a member of the federal government’s AI Advisory Council\, a member of the OECD’s Network of Experts on AI and Expert Group on AI in Health\, a member of the Health Canada Expert Advisory Committee for AI in Health\, and sits on the Advisory Board of York University’s Centre for AI & Society.Margo SeltzerCore Member\, AI@UBC Working GroupSee Bio×Margo SeltzerMargo Seltzer is a core member of our AI@UBC working group and department co-Head\, Canada 150 Research Chair in Computer Systems\, and the Cheriton Family chair in Computer Science at the University of British Columbia. Her research interests are in systems\, construed quite broadly\, including algorithms and systems for constructing optimal and interpretable machine learning models. One particularly novel stream of this work is the production of Rashomon Sets\, the set of all good models\, which give users the ability to select models that best reflect their domain expertise. \nDr. Seltzer was a co-founder and CTO of Sleepycat Software\, the makers of Berkeley DB\, the recipient of the 2021 ACM Software Systems award and the 2020 ACM SIGMOD Systems Award. She is a member of the Royal Society of Canada\, the National Academy of Engineering\, and the American Academy of Arts and Sciences.Youssef Helwa\nCEO and Co-founder\, FluidAI MedicalSee Bio×Youssef Helwa\nYoussef Helwa is the CEO and Co-founder of FluidAI Medical\, the world leader in postoperative care\, transforming how hospitals detect and prevent surgical complications through AI-powered patient monitoring. Built from his graduate research at the University of Waterloo\, FluidAI has grown into a globally deployed medtech company with regulatory clearances across multiple jurisdictions and clinical partnerships with some of the world’s most respected institutions\, including Cleveland Clinic\, Mayo Clinic\, and UHN. The company’s Stream Platform combines nanosensor technology and artificial intelligence to detect complications up to 80% faster than the standard of care\, backed by the world’s largest general surgery dataset spanning millions of patient records\, a strong IP portfolio\, and a suite of tools to optimize patient engagement\, clinical documentation\, and surgical billing. Youssef is on a mission to make surgical recovery smarter\, safer\, and more predictable for patients worldwide. \nCam LinkeCEO\, Alberta Machine Learning Institute (Amii)See Bio×Cam Linke\nCam Linke\, is the CEO of Alberta Machine Learning Institute (Amii) is a longtime leader in Canada’s technology and startup community. Over the past 10 years\, he has worked as a CEO\, investor\, community builder\, product manager\, software entrepreneur\, academic\, and developer. \nPast roles include Co-founder of Startup Edmonton\, Founder of Flightpath Ventures\, CEO of Touch Metric\, Product Manager at Nexopia.com\, and Founder of DemoCamp Edmonton. Linke is a sought-after speaker and mentor and has been recognized as Avenue Magazine Top 40 Under 40. \nHe holds a Master’s degree which was supervised by Dr. Richard Sutton and Dr. Adam White. His research\, which focused on AI adapting behaviours to improve their own self-learning\, has been published at top conferences. \nCory JanssenCo-Founder and CEO\, AltaMLSee Bio×Cory Janssen\nCory Janssen is Co-Founder and CEO of AltaML\, an applied AI company recognized for delivering agentic AI solutions that unlock measurable organizational value and elevate human potential. A seasoned technology entrepreneur\, Cory previously co-founded Investopedia in 1999 and developed it into a leading global financial education site before its sale to Forbes Media in 2007. \nChad CogarVice President of AI\, Creative Destruction LabSee Bio×Chad CogarChad Cogar is the Vice President of AI at Creative Destruction Lab\, where he leads AI initiatives and serves as a technical advisor to CDL’s enterprise AI adoption program “Putting AI to Work”. With over a decade of experience in AI strategy and implementation\, Chad specializes in developing AI systems that drive measurable business impact. Prior to joining CDL\, he led product management for the machine learning teams at Kindred AI and oversaw large-scale AI transformation initiatives for enterprise clients across multiple industries. Chad holds degrees in Law (JD)\, Business (MBA)\, and Computer Science (BSc) from the University of Toronto.
URL:https://sciencepolicy.ca/event/canadas-ai-advantage/
CATEGORIES:Virtual Sessions
ATTACH;FMTTYPE=image/png:https://sciencepolicy.ca/wp-content/uploads/2026/05/July-21-Panel-en.png
ORGANIZER;CN="Canadian Science Policy Centre":MAILTO:info@sciencepolicy.ca
END:VEVENT
END:VCALENDAR