April 20, 2020

Beth Chance is Professor of Statistics at Cal Poly, San Luis Obispo. Dr. Chance has been involved in statistics education research for several years, especially in the areas of assessment and technology, and she has background in program evaluation and curriculum development.  She is an award winning teacher (American Statistical Association’s Waller Education Award) and her applets have been recognized by Merlot. With Dr. Allan Rossman and others she has co-authored three introductory textbooks that focus on using active learning and constructivism to improve students’ statistical thinking and literacy, and a new textbook for a second course in statistics is coming this fall. Dr. Chance has received several NSF grants for her work and is a fellow of the American Statistical Association. She was 2018 Chair of the Section on Statistics Education (American Statistical Association).

Mine Çetinkaya-Rundel is Senior Lecturer at University of Edinburgh, Associate Professor of the Practice at Duke University, and Professional Educator at RStudio. Mine’s work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, student-centered learning, and open-source education. Mine organzings ASA DataFest and works on the the OpenIntro project, whose mission is to make educational products that are free, transparent, and lower barriers to education. As part of this project she co-authored three open-source introductory statistics textbooks. She also teaches the popular Statistics with R MOOC on Coursera. She was 2019 Chair of the Section on Statistics and Data Science Education (American Statistical Association). She is a fellow of the ISI and ASA. In 2016 Mine received the ASA Waller Education Award and in 2018 she received the Pickard Award from Harvard University.

Lucy D’Agostino McGowan is an assistant professor in the Mathematics and Statistics Department at Wake Forest University. Her research focuses on human-data interaction, causal inference, and data science pedagogy. She attempts to communicate complex statistical ideas via her blog (, online courses, and a podcast, Casual Inference, that she co-hosts in partnership with the American Journal of Epidemiology. She is the vice-chair of the ASA Committee on Women in Statistics as well as the Interim Program Chair for the ASA Statistics Communication Interest Group.

Ulrike Genschel is an Associate Professor in the Department of Statistics at Iowa State University. Her research interests include statistics education, education research methodology, and the gender gap in the STEM sciences. She has published papers and given presentations on introducing large datasets and case-based learning into the classroom, engaging learners with formative assessment, and the role of gender differences related to mathematical self-efficacy. She is co-leading Iowa State’s participation (an NSF IUSE proposal led by the CIRTL community,, through the University of Wisconsin) to develop a suite of discipline-specific professional development programs to prepare graduate students for their future teaching responsibilities and to advance evidence-based teaching practices for diverse learners in STEM disciplines.

Jo Hardin is Professor of Mathematics at Pomona College in Southern California. Dr. Hardin’s research area is in generating novel statistical methods for analyzing biological high throughput methods. She has also worked for many years in research on statistics and data science education, particularly in areas of modernizing the curriculum. In summer 2019, she and colleagues blogged daily to create 50 topics on teaching data science. She has won multiple teaching awards and is a fellow of both the American Statistical Association as well as the International Statistics Institute. She is the chair-elect of the Section on Statistics and Data Science Education of the American Statistical Association.

Allan Rossman is Professor of Statistics, Cal Poly - San Luis Obispo. Allan co-author of several innovative textbooks, all rooted in an active learning pedagogy. He has given scores of workshops for teachers and future teachers, including as part of the Project NExT program. With Tom Short, he directed the STATS workshop series through the MAA in the 1990s to prepare instructors in mathematics departments to teach statistics, and has received several NSF grants for his innovative pedagogy. He was a member of both GAISE guidelines writing committees and recently received the Waller Distinguished Teaching Career Award recognizing his national and international impact in statistics education. He has also led the Journal of Statistics Education interview series of statistics educators since 2011