Sustainable Future – Challenge Accepted! Green Tech & AI Ep. 3
Published: May 18, 2023
How can technology be used to examine the impacts of climate change, accelerate sustainable innovation and empower communities to advance environmental justice?
In the third episode of the University of Toronto’s five-part video series – Sustainable Future - Challenge Accepted! – researchers share how they are using artificial intelligence, machine learning, climate informatics and data crowdsourcing to help inform an equity-based response to the climate crisis.
“We’re really trying to think about a human-centred, local, place-based approach to climate informatics that centres questions about equity and justice,” says Robert Soden, assistant professor in the department of computer science and School of the Environment in the Faculty of Arts & Science.
Vanessa Gray, a researcher in U of T’s Technoscience Research Unit and co-lead of the Pollution Reporter App, reflects on how Indigenous data sovereignty is equipping communities with information and tools to protect themselves and hold polluters accountable.
Meanwhile, Laura Rosella, epidemiologist and associate professor at U of T’s Dalla Lana School of Public Health, explains how AI-powered data analysis can help illuminate the complex links between climate change and the health and well-being of populations.
Watch Episode 3 of the Sustainable Future series
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