Machine Learning and AI Innovations for Advancing Risk Science

From climate-related hazards to financial uncertainty, communities today face complex and evolving risks. Advances in machine learning and artificial intelligence are transforming how risks are identified, analyzed, and communicated-enabling better decisions that protect livelihoods and promote societal resilience. This session highlights cutting-edge statistical and computational methods that push the boundaries of modern risk science. Presentations will blend methodological innovation with real-world applications, particularly in the insurance and finance sectors, where data-driven insights can shape policy, guide preparedness, and reduce vulnerability. By connecting advanced analytics to practical impact, the session demonstrates how the statistical community can work in action to address society's most pressing challenges, turning complex data into solutions for the common good.