“Developments and Extensions in the Quantification of Model Uncertainty: A Bayesian Perspective,” presented by David Kaplan, University of Wisconsin-Madison

“thinkCausal: One Stop Shopping for Answering your Causal Inference Questions,” presented by Jennifer Hill, Columbia University

“Bayesian Covariance Structure Modeling: An Overview and New Developments,” presented by Jean-Paul Fox, University of Twente

“Causal Inference Under Interference in Dynamic Therapy Group Studies,” presented by Dr. Susan Paddock, NORC University of Chicago

“Bayesian Pyramids: Identifying Interpretable Deep Structure Underlying High-dimensional Data,” presented by Dr. David Dunson, Duke University

“Partially Ordered Responses and Applications,” presented by Dr. Edward Ip, Wake Forest University

“The Bayesian Causal Forest Model: Regularization, Confounding, and Heterogeneous Effects,” presented by P. Richard Hahn, Arizona State University