Collaboration in Statistics and Data Science

Collaboration is a necessity for today’s statisticians and data scientists, which raises questions for statistics and data science educators: Are we keeping up? Are we effectively collaborating? Are we teaching students collaboration? How does one teach collaboration skills? What are the essential collaboration skills we should teach to prepare our students for success in careers in statistics and data science?

This talk will describe how collaboration can be taught at the undergraduate capstone level, graduate level, and throughout the undergraduate and graduate curriculum. This talk will be loosely based on the following two papers:“The ASCCR Frame for Learning Essential Collaboration Skills” bit.ly/asccrframe
“Using Team-Based Learning to Teach Data Science”  bit.ly/TBLDataScience

Bio
Dr. Eric A. Vance is an Associate Professor of Applied Mathematics, the Director of the Laboratory for Interdisciplinary Statistical Analysis (LISA) at the University of Colorado Boulder, and the Global Director of the LISA 2020 Network, which comprises 35 statistics and data science collaboration laboratories in 10 developing countries. He is a Fellow of the American Statistical Association (ASA), an elected member of the International Statistical Institute, and a two-time winner (2020 and 2022) of the ASA Jackie Dietz Award for the best paper of the year in the Journal of Statistics and Data Science Education.