Climate Change and Disruptions in Supply Chain Networks

As climate change drives an increase in the frequency and intensity of extreme events, their initial impacts are often magnified through the complex supply chain networks, resulting in substantial economic losses and far-reaching social consequences. Understanding, assessing, and predicting these cascading effects is vital to inform the design of effective strategies that mitigate such indirect damages. Yet, the complexity of the propagation dynamics within these networks, coupled with a lack of sufficient data—particularly on supply chain linkages—makes evaluating and understanding these risks highly challenging. In this seminar, I will present findings from my research in this field, with a particular focus on the development and application of the disaster footprint model to assess cascading disaster effects. I will also discuss my ongoing work on employing graph deep learning techniques to enhance predictive models for these cascading effects, aiming to improve our ability to anticipate and manage future climate risks.