Friday, April 26, 2024 13:00to14:30

Presentation summary

Daniel Heller-Roazen will be discussing his most recent book, Absentees, and its threefold typology of the ways of not being somebody: becoming a missing person; becoming a diminished person; and passing into the unsettling and in some ways unique condition of being a dead body.

Friday, May 3, 2024 16:00

The Paul-André Crépeau Centre for Private and Comparative Law is pleased to invite you to the launch of The Private Law Dictionary and Bilingual Lexicons – Successions / Dictionnaire de droit privé et lexiques bilingues – Les successions. 

Monday, May 13, 2024 14:30to16:00

Panel Overview: Instructors design and implement the teaching that students experience. This panel will focus on how Generative AI is forcing us to rethink what and how we teach and conduct assessments. Instructors and students from different disciplines will share reflections on their experiences and discuss future directions for teaching in the age of Generative AI.  

Questions explored:  

Classified as: Computational and Data Systems Initiative, data science, AI, Artificial intelligence, CDSI events, CDSI, School of Computer Science, Faculty of Engineering, Faculty of Science, management
Tuesday, May 14, 2024 11:00to12:30

Panel Overview: Students learn in formal and informal settings and ways. Generative AI will challenge our assumptions about the way learning happens and what it means to have learned something. This panel will explore the experiences of instructors and students from different disciplines and look to future directions for learning in the age of generative AI. 

Questions explored:

Classified as: data science, teaching and learning services, AI, Artificial intelligence, CDSI events, CDSI, Computational and Data Systems Initiative, School of Computer Science, Faculty of Science, Faculty of Engineering, management
Tuesday, May 14, 2024 14:30to16:00

Overview: While beliefs regarding the impact of AI on education – both realized and potential – are readily available, what we actually know and understand about such impacts is still quite limited.  This panel will illustrate some of the routes that researchers are taking towards building a better collective understanding necessary for the responsible use of AI in education. 

Classified as: AI, Artificial intelligence, Computational and Data Systems Initiative, Social events, School of Computer Science, External, Faculty of Engineering, Faculty of Science, students, management, data science, Graduate Students, Education Undergraduate Society, staff
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