Indigenous Speakers Series presents Dr. Evan Adams
The Indigenous Speakers Series returns this term with the first of our online events featuring Dr. Evan Adams addressing the impacts of COVID-19 on Indigenous communities in Canada.
The Indigenous Speakers Series returns this term with the first of our online events featuring Dr. Evan Adams addressing the impacts of COVID-19 on Indigenous communities in Canada.
The Indigenous Speakers Series second online event this term features Logan MacDonald, professor in the Department of Fine Arts and Canada Research Chair (CRC) in Indigenous Art.
Do you want to be leading change and making a difference?
Join us in a conversation with Arts alumni who are leading the way in the Diversity, Equity and Inclusion sector
Join us in a conversation with Arts alumni who are leading the way in the Marketing and Communication sector.
Join us in a conversation with Arts alumni who are carving their own path in new and emerging fields of work.
Silicon Valley companies have brought digital technology into every sphere of modern life. But while Big Tech garners unprecedented power and profits, everyday existence becomes ever more deeply enmeshed in the circuits of capital. To what end? What are the limits of the digital frontier?
The Indigenous Speakers Series is pleased and honoured to present Jean Teillet, lawyer, author, teacher and artist, as the first of our 2021-22 speakers.
The Department of History Speaker Series is pleased to present Dr. Nana Osei Quarshie, Assistant Professor in the History of Science and Medicine at Yale University. His research focuses on the anthropology and history of psychiatry, immigration, and urban belonging in West Africa.
In this discussion, Professor Jay Dolmage will work through an overview of myths that offer a shorthand for the ways that disability is narrowly represented or depicted across cultures. These myths offer evidence of some of the most basic and omnipresent ways that disability is rhetorically shaped.
Have you ever observed a divisive, rage-fuelled fight online and wondered about the role technology played in the background? In her most recent book, Discriminating Data (2021), Wendy Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions.