Decoding Climate Vulnerability - Francesca Dominici

On February 28, 2023, Stanford Data Science welcomed Dr. Francesca Dominici for the inaugural SDS Distinguished Lecture. View her talk on Decoding Climate Vulnerability: Harnessing the Power of Data Science and Causal Inference.

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Abstract:
This talk provides an overview of data science methods, including methods for causal inference and machine learning, with the lens of policy change. This is based on a large effort of analyzing a data platform of unprecedented size and representativeness. The platform includes more than 600 million observations on the health experience of over 95% of the US population over 65 years old linked to air pollution exposure and several confounders. Dr. Dominici also provides an overview of studies on air pollution exposure, environmental racism, wildfires, and how they can exacerbate vulnerability to COVID-19. Swift action on reducing short-lived climate forcers such as methane, tropospheric ozone, hydrofluorocarbons, and black carbon can significantly decrease the chances of triggering severe climate tipping points.

[moteherogame]

Thanks for sharing. It was a very fantastic speech