The SFU School of Communication's Book and Speaker Series is a space in which the School engages with recently published books by faculty and other members of the community. Experience an engaging conversation with the author about our featured publication of the month. Our goal is to encourage fluid conversations between faculty and students and […]
Karrmen Crey is Sto:lo and a member of the Cheam Band. She is an Assistant Professor in the School of Communication at Simon Fraser University, where her research examines the rise of Indigenous media in Canada, and the institutions of media culture that Indigenous media practitioners have historically engaged and navigated to produce their work. Her current research examines Indigenous film festivals […]
Wendy is giving a talk at the University of Connecticut Humanities Institute on her new book, Discriminating Data. The talk would be part of their Digital Humanities & Media Studies initiative’s speaker series. More details tbd.
Please join us for a book launch and talk for Discriminating Data (MIT Press) by Wendy Chun (Canada 150 Research Chair in New Media, Simon Fraser University). Respondent: Ganaele Langlois (York University). Register here to attend. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine […]
Join Centre for Media, Technology & Democracy Research Director, Sonja Solomun for a discussion with Wendy Hui Kyong Chun about her newly published book Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition (MIT Press). Register for the event here.
Dr Dara Kelly is from the Leq’á:mel First Nation, part of the Stó:lō Coast Salish. She is an Assistant Professor of Indigenous Business at the Beedie School of Business, SFU. She teaches in the Executive MBA in Indigenous Business and Leadership program, and on Indigenous business environments within full-time and part-time MBA programs. Dr Kelly […]
DSI & DISCO Network Book Talk | "Discriminating Data" with Wendy Chun in Conversation with Lisa Nakamura Register for the event here. In "Discriminating Data," Wendy Hui Kyong 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 […]
In her 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. Hito Steyerl and Wendy Chun will discuss how can people release themselves from the […]
What does feminist data science look like? What is feminist data science? How is feminist thinking being incorporated into data-driven work? And how are scholars in the humanities and social sciences, in particular, bringing together data science and feminist theory in their research? Drawing from our recent book, Data Feminism (MIT Press, 2020), we will […]
Sheelagh Carpendale from Simon Fraser University's School of Computing Science presents to the DDI. Her research interests include: information visualization, interaction design, large display interaction, visual analytics, personal visualization, human computer interaction, interactive technologies, collaborative interaction, open data, data empowerment. More details TBD. Email ddi_lab@sfu.ca for Zoom link.
Taming Big Tech: Exploring the Alternatives - How to re-claim digital platforms for democracy in Canada Wendy Chun in conversation with Andrew Clement. Wendy Chun is Canada 150 Research Chair in New Media at Simon Fraser University. She leads the Digital Democracies Institute which aims to develop methods for creating effective online counterspeech and alternative […]
In Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition, Wendy Hui Kyong 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. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts […]