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AI and the Future of Quantitative Geography & Planning Education – Feb 3, 2026
Session Description
February 3 2026 @ 3:00 pm - 5:00 pm
Join the Department of Geography & Planning and the School of Cities for an afternoon exploring how artificial intelligence is reshaping quantitative geography and planning. The event features two short talks and a panel discussion bringing together academic & industry perspectives.
Featured Speakers
- Professor Renee Sieber (McGill University) – a leading scholar in geographic information science, critical GIS, and participatory mapping, with a strong focus on the social and ethical implications of data and AI.
- Professor Peter Kedron (University of California, Santa Barbara) – research focuses on spatial data science, transportation, and urban systems, with recent work examining how machine learning can advance quantitative spatial analysis.
Featured Panelists
- Professor Caitlin Cunningham (University of Toronto)
- Yi-Jeng Huang (Associate Director, AI Strategy S&P Global Energy)
- Michael Olin (Real Estate Development Executive)