Many new principles and standards have been developed to facilitate cultural changes in fostering reproducible research, but less so has been done in teaching. To highlight work in this important and developing area, the Journal of Statistics and Data Science Education invited papers related to "Teaching reproducibility and responsible workflow". The November 2022 issue of the journal is devoted to this topic (see https://www.tandfonline.com/toc/ujse21/30/3). We are excited by the opportunities and options brought forward in these 11 papers. This webinar will include an overview of the special issue that is intended to provide motivation, guidance, and examples that help the data science and statistics education community better inculcate these increasingly important research-based practices. The webinar will include an opportunity for Q&A with the audience focused on next steps and ways to move forward.

Presented By: Aneta Piekut (University of Sheffield), Colin Rundel (Duke University), Micaela Parker (Academic Data Science Alliance), Nicholas J. Horton (Amherst College), and Rohan Alexander (University of Toronto)

Short bios:

Aneta Piekut is Senior Lecturer in Quantitative Social Sciences at the Sheffield Methods Institute, University of Sheffield. She is an associate editor of the Journal of Statistics and Data Science Education.

Colin Rundel is an assistant professor of the practice in Statistical Science at Duke University. His research interests include applied spatial statistics with an emphasis on Bayesian statistics and computational methods. Colin was a guest editor of the special issue on teaching reproducibility and responsible workflow.

Micaela Parker is the Founder and Executive Director of the Academic Data Science Alliance (ADSA), https://academicdatascience.org/data-science/about. Micaela was a guest editor of the special issue on teaching reproducibility and responsible workflow.

Nicholas J. Horton is Beitzel Professor of Technology and Society (Statistics and Data Science) at Amherst College. He is the editor of the Journal of Statistics and Data Science Education and is the co-chair of the National Academies Committee on Applied and Theoretical Statistics (CATS).

Rohan Alexander is an assistant professor at the University of Toronto jointly appointed in the Faculty of Information and the Department of Statistical Sciences. He is an associate editor of the Journal of Statistics and Data Science Education.

The webinar will take place on December 13, 2022, from 4:00-4:45 pm EST.