On August 6, Kim McGrail, Professor at University of British Columbia and Scientific Director, Health Data Research Network Canada, joined CIFAR’s Elissa Strome to discuss how access to data from across Canada could revolutionize our understanding of health and disease.
Kim McGrail and Elissa Strome are members of the AI4Health Task Force, convened by CIFAR from September 2019 to February 2020, to outline recommendations for an integrated and coordinated national approach for an AI for health strategy.
Carly Kind & Michael Geist: Governance, Tech and the Pandemic
On July 28, Carly Kind, Director, Ada Lovelace Institute and Michael Geist, Canada Research Chair at the University of Ottawa, joined CIFAR’s Rebecca Finlay to discuss the impact of contact tracing apps in Canada and the UK. What do the debates on contact tracing apps in both countries tell us about broader governance questions related to AI? How can policy makers navigate these questions effectively?
Carly Kind and Michael Geist participated in CIFAR's Expert Advisory Group and International Roundtable on Novel Technologies in a Pandemic that led to the April 30th Report for Canada's Chief Science Advisor: Society, Technology and Ethics in a Pandemic.
Stephen Reicher: Addressing the Psychology of ‘Together Apart’
On July 9, Stephen Reicher, a fellow in CIFAR’s Boundaries, Membership and Belonging program and professor at the University of St. Andrews, drew on social identity theory and research to discuss what measures can help us through the current pandemic, with Kate Geddie, Senior Director, Research at CIFAR.
Tim Besley: Government Responses to Covid-19: Economics, Politics and The Role of Scientific Advice
On June 22, 2020, Tim Besley, a fellow in CIFAR’s Institutions, Organizations & Growth program and an economist at the London School of Economics, drew on economic and political theory to discuss governments’ pandemic responses with Rebecca Finlay, Vice President, Engagement & Public Policy, CIFAR.
Yoshua Bengio: Empowering Citizens to Act on COVID-19 with AI-Powered Infection Risk Prediction
On June 10, Yoshua Bengio, Canada CIFAR AI Chair at Mila, co-director of CIFAR’s Learning in Machines & Brains program, and professor at l’Université de Montréal joined Antoine Petit, a member of CIFAR’s Research Council and the chairman and CEO of CNRS, to discuss COVI, a new AI-powered contact-tracing and risk prediction app.
Hendrik Poinar: What past pandemics can teach us about COVID-19
On June 4, 2020, Hendrik Poinar, a fellow in CIFAR’s Humans & the Microbiome program and an evolutionary geneticist at McMaster University, drew on ancient DNA analysis, anthropology, and history to discuss what past pandemics and plagues can teach us about COVID-19 with Kate Geddie, Senior Director, Research at CIFAR.
Marzyeh Ghassemi and Joseph Paul Cohen: Using X-rays and machine learning to more accurately predict COVID-19 severity
On May 21, 2020, Canada CIFAR AI Chair Marzyeh Ghassemi and Joseph Paul Cohen (Mila) joined Elissa Strome, Executive Director of the CIFAR Pan-Canadian AI Strategy, to discuss a new AI and COVID-19 Catalyst Grant project applying the latest machine learning techniques to X-ray scans in order to predict COVID-19 severity.
Thom McDade: Community-based approaches to COVID-19 screening
On April 30th, 2020, CIFAR Fellow Thom McDade explained why widespread antibody testing for COVID-19 is important, and how a paper-based test could help authorities better understand the extent of the pandemic.