Dean of Arts Office:
PAS building, room 2401
Tel 519 888-4567 ext. 48246
Arts Undergraduate Office:
PAS building, room 2439
Tel 519 888-4567 ext. 45870
Information for faculty and staff
Arts computing support for students, faculty, and staff
Ideas and actions
Welcome to the Faculty of Arts, a dynamic community of students, faculty and staff working in and across the humanities, social sciences and creative arts. Our ideas and actions are propelled by curiosity, creativity, and a deep commitment to contribute to a better world.
News
- Jan. 21, 2022History PhD candidate wins AMS Doctoral Completion Award
Congratulations to Lucy Vorobej, a History PhD candidate, for winning a national Doctoral Completion Award from the Associated Medical Services (AMS) History of Medicine and Healthcare Program.
- Jan. 12, 2022Ashley Rose Mehlenbacher, Canada Research Chair in Science, Health, and Technology Communication
The Government of Canada has just announced 43 Canada Research Chairs (CRC), including Professor Ashley Rose Mehlenbacher of the Faculty of Arts, who holds the CRC in Science, Health, and Technology Communication. Concurrently announced, Mehlenbacher has also won funding from the Canada Foundation for Innovation (CFI) to support her research infrastructure.
- Dec. 30, 2021Professor Geoffrey Fong named Officer of the Order of Canada
Congratulations to Professor Geoffrey Fong of the Department of Psychology for being appointed Officer of the Order of Canada, one of the nation's highest honours. Fong is the founder and chief principal investigator of the International Tobacco Control Policy Evaluation Project (ITC project), leading a team of more than 150 researchers across 31 countries covering more than half of the world’s population.
Events
- Feb. 10, 2022Critical Tech Talk 2 presents Wendy Chun
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.