Recent innovations in data science raise troubling questions about discrimination and loss of privacy. 
In this training, you will see how statistics are not cold, hard numbers, but reflections of the perspectives and biases of those collecting the data.
We’ll discuss several case studies that show how real the harms can be. You’ll learn about some of these ethical problems and some possible solutions.
Webinar Date & Time: May 19, 2026 at 3pm US ET.
About the Instructor
Steve Simon works as an independent statistical consultant and as a part-time faculty member in the Department of Biomedical and Health Informatics at the University of Missouri-Kansas City. He has previously worked at Children’s Mercy Hospital, the National Institute for Occupational Safety and Health, and Bowling Green State University.
Steve has over 90 peer-reviewed publications, four of which have won major awards. He has written one book, Statistical Evidence in Medical Trials, and is the author of a major website about Statistics, Research Design, and Evidence Based Medicine, www.pmean.com. One of his current areas of interest is using Bayesian models to forecast patient accrual in clinical trials. Steve received a Ph.D. in Statistics from the University of Iowa in 1982.
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