Understanding uncertainty is necessary to make informed decisions from estimates and predictions. Dr. Kay will outline a variety of approaches to uncertainty visualization and their application to communicating scientific results. He will also touch on a generalized approach to uncertainty visualization—discrete outcomes—that has found success in many contexts, including medical risk communication, hurricane path prediction, and transit prediction. The group will likely discuss the use of modern uncertainty visualization techniques in paper writing (Would readers understand it or be confused? Would reviewers baulk?) and the effect of poor uncertainty communication on scientific reliability (Is there a connection between how we present uncertainty, the tendency for dichotomous thinking in interpreting results, and the replication crisis?).