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- IAT 100 Onions on the Side
- IAT 100 LEGS
- IAT 100 Where is My Husband
- IAT 202 On the Line
- IAT 238 Jazzdor Festival Microsite
- IAT 265 Aquarium Life
- IAT 312 Greedy Goblins
- IAT 312 Take the Reins
- IAT 313 Hollow Sacrifice: A Dying World
- IAT 313 Sporefall: No One Left Behind
- IAT 313 The Innocent's Descent
- IAT 333 Mastercard Fraud Analysis Dashboard
- IAT 333 Vancouver Police Museum: Adaptive Mode
- IAT 334 Roominate
- IAT 334 Spotify Jam Feature Addition
- IAT 343 The Secret of the Skygarden
- IAT 343 Autoviscera
- IAT 343 We'll Be Right Back
- IAT 351 Moody
- IAT 351 Anchor Funds
- IAT 355 The Voyager
- IAT 355 The Housing Crisis
- IAT 359 Chemtrails: The All-in-One Travel Planner
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- IAT 387 PhoenixRise
- IAT 445 Santa's Little Helper
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- IAT 233 The Voronial Pavilion
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Teaching & research interests
- Data Visualization
- Visual analytics
- Human-computer interaction
- Affective interfaces
- Information design for sustainability
- Interactive buildings
- Data media and practice
Lyn's biography
Lyn Bartram is a Professor Emerita in the School of Interactive Art and Technology at SFU and Director of the Vancouver Institute of Visual Analytics, an SFU Research Institute engaging researchers, practitioners and organizations with challenges and opportunities in the emerging universe of big data. Her work explores the intersecting potential of interactive technologies, visual analytics and computational media from both theoretical and applied perspectives, particularly to better support data-enabled thinking beyond the traditional applications of expert data science. On the theoretical foundations aspect,she and her students study how we can leverage the capabilities of human perception, cognition, affect and behaviour to reduce the overhead of using information systems. This underpins applied work into the democratization of data visualization, and how interactive visual analytics can more effectively enhance and extend peoples' data practices. She is especially interested in personal visual analytics. She works in both standard and practice-based research methods in applications related to data visualization, personal visual analytics, computational sustainability, and computational aesthetics.
A computer scientist by training, she engages extensively with data practitioners at all levels of competence and discipline through her work as Director of VIVA, the Vancouver Institute of Visual Analytics. VIVA is an interdisciplinary university institute with the mandate to educate, foster research collaboration and enhance literacy around data-driven thinking, visual analytics and exploratory data analysis. Our audiences and collaborators are both internal to the university and the external community, spanning a wide scope of disciplines, domains (e.g. health, finance, governance, research, scientists and entrepreneurs) and levels of expertise. As Director she leads initiatives in training; outreach to community groups, content development of courses and project proposals; advising to other agencies and departments in the university around integration of new data methods; data analysis; and production of outreach strategies and materials for internal and external audiences.
Education
- BA, Political Science, University of British Columbia
- M.Math, Computer Science, University of Waterloo
- PhD, Computing Science, Simon Fraser University
Current & upcoming courses
This instructor is currently not teaching any courses.