Presentation: Statistics and Data Science Communication: Tips, Tricks, and Thoughts About a New Model of Engagement
Speaker: Regina Nuzzo, Ph.D., Professor of Science, Technology & Math / Mathematics, Gallaudet University
Abstract: Communicating statistics and data science to lay audiences is not easy. Yet engaging with a variety of audiences&emdash;policymakers, journalists, funders, experts in other fields, the public, and others&emdash;and getting them to truly understand quantitative information has never been more important than it is today. The problem is that we don’t have a good model for this. Science communication, for example, is a well established field with an assortment of tools and tricks, some of which we can borrow and adapt. But, better yet, we have both the need and the opportunity to develop a new model for ourselves: “quantitative communication,” which encompasses such elements as quantification, uncertainty, evidentiality, expectation, and surprise. This talk will use examples to discuss thoughts on this work in progress.
Bio: Regina Nuzzo, PhD, received her bachelor’s degree in industrial engineering from the University of South Florida, a PhD in statistics from Stanford University, and graduate science writing training at the University of California–Santa Cruz. She is a professor teaching statistics at Gallaudet University. Dr. Nuzzo’s writing on science, data, and statistics has appeared in the Los Angeles Times, The New York Times, Reader’s Digest, and Scientific American, among others. Her feature article on p-values in Nature earned the American Statistical Association’s 2014 Excellence in Statistical Reporting Award. Dr. Nuzzo speaks to a variety of audiences about abuses of statistics, human bias in data analysis, “quantitative communication,” and the importance of properly and creatively framing statistical ideas.