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Black and Indigenous Bodies: Resistance and Surveillance Led by Karrmen Crey and Adjua Akinwumi. If you are interested in joining the reading group, contact Dr. Karrmen Crey at kcrey@sfu.ca with a very brief (one or two sentence) explanation of why you would like to join the group by Friday, September 25th. Participants must be able to attend all meetings. You […] |
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Dr. Jaime Lee Kirtz speaks at this panel: Wondering how to make sense of this historic American presidential election? You’re not alone. Join us for a panel featuring historians, political scientists, and media experts as they weigh in on the significance of the 2020 election for the United States, Canada, and the world. Panelists will […] |
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Understanding & Combating Online Manipulation: Setting an Interdisciplinary Research Agenda Public concern is coalescing around the problem of online influence—especially, the ability of data collectors to use information about individuals to influence their decision-making and shape their behaviors. Once confined to the realm of commercial advertising, post 2016, these worries have extended to the political […] |
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Due to the unprecedented circumstances generated by the COVID-19 pandemic, the 12th Canadian Science Policy Conference, CSPC 2020, will be held completely online! The conference will be held virtually through the week of November 16th - 20th, 2020. In the time of social distancing and with abundance of caution, we are excited to bring this year’s […] |
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Black and Indigenous Bodies: Resistance and Surveillance If you are interested in joining the reading group, contact Dr. Karrmen Crey at kcrey@sfu.ca with a very brief (one or two sentence) explanation of why you would like to join the group by Friday, September 25th. Participants must be able to attend all meetings. You will receive an email […] |
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Authenticating Figures: Algorithms and the New Politics of Recognition Originally planned for March 2020, but canceled due to the COVID-19 outbreak, UCI Critical Theory is proud to now present this event virtually. What does recognition mean in an era of pervasive data capture and automatic pattern detection? Tracing the historical move from “pattern discrimination” to […] |
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