Event box
Exploring your digital privacy, security, and wellbeing: A Data Detox expert panel Online
Join U of T Libraries for a panel discussion on the risks and benefits of digital technologies, human behavioural data, and algorithmic decision-making technologies embedded within our everyday lives. What are the trade-offs that come with our desire for convenience? Can we control our data? How is it being used?
Panelists will explore the implications of these technologies and get you to think about: whether more tools, apps, and information make us better and more efficient, or are we giving away more than we get in return? What is going on behind the screens and inside the black boxes of these devices we use every day? What can we do at an individual level, and what policies and changes might be enacted at a system level?
Date and time: Wednesday, October 19, 12-1:30 pm ET
Location: Online via Zoom (registrants will receive a link via email)
Panelists:
Victoria Oldemburgo de Mello is a Ph.D. student in psychology at the University of Toronto and a graduate affiliate at the Schwartz Reisman Institute for Technology and Society
Julian Posada is a Postdoctoral Associate and incoming Assistant Professor of American Studies at Yale University (starting in July 2023). Posada received his Ph.D. in Information from the University of Toronto where he was a fellow at Massey College, the Centre for Ethics, and the Schwartz Reisman Institute.
Yuxing Zhang is a PhD candidate in Information Studies at the Faculty of Information, University of Toronto.
Moderator: Sara M. Grimes, PhD (she/her/elle), Director, Knowledge Media Design Institute (KMDI)
Associate Professor, Faculty of Information, University of Toronto
This workshop is part of the U of T Libraries Data Detox Week, happening Oct 19-21, 2022. Find out more at http://uoft.me/datadetox
- Date:
- Wednesday, October 19, 2022
- Time:
- 12:00pm - 1:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Data & Statistics Health & Wellness