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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 �ؿ�ζSM’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 , assistant professor in the department of computer science and School of the Environment in the Faculty of Arts & Science.

, a researcher in U of T’s  and co-lead of the , reflects on how Indigenous data sovereignty is equipping communities with information and tools to protect themselves and hold polluters accountable.

Meanwhile, , 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.