Tuesday, January 27, 2026 at 8:00 am – 9:00 am ET
The January 27, 2026, COPSS-NISS Leadership Webinar, The Role of Bayesian Statistics in an Age of AI, will feature distinguished statisticians David Dunson (Duke University) and Xuming He (Washington University in St. Louis) in a discussion exploring how Bayesian methods can enhance transparency, interpretability, and decision-making in modern AI systems. Moderated by Prof. Dr. Nadja Klein (Karlsruhe Institute of Technology), the session will highlight the latest advances in Bayesian learning, robust inference, and interdisciplinary applications, offering insights into how these approaches address complex, high-dimensional problems across fields such as neuroscience, genomics, environmental science, and beyond. Part of the COPSS-NISS Leadership Webinar Series, this event continues the mission of fostering leadership and innovation in statistics and data science.
Flyer with details:
https://www.niss.org/sites/default/files/event_attachments/2026%2001%2027%20COPSS-NISS%20Leadership%20Webinar%20Flyer_0.pdf