Transdisciplinary Team Building Using a Real-World Case Study on the Pandemic COVID-19

Published: 6 November 2020| Version 1 | DOI: 10.17632/sgngmzxzbr.1
Sarah Hooper,


The COVID-19 data sets and associated Jupyter Hub notebooks are support for a manuscript describing how data science was shown to be effective in developing a transdisciplinary team and the production of novel outputs in part due to the common learning process of all team members being part of an online professional data science and analytics master’s degree program. This online curriculum helped the team members to find a common process that allowed them learn in common (Kläy, Zimmermann, & Schneider, 2015), transdisciplinary learning a key component of transdisciplinary teamwork (Yeung, 2015). Our team's Jupyter Hub files with complete coding and data set explanations are uploaded to document this teamwork and the outputs of the team.


Steps to reproduce

See Jupyter notebooks to view coding to reproduce data.


University of Missouri Columbia, Baylor University, Ross University School of Veterinary Medicine


Computer-Based Training, Big Data, Case Study, Interdisciplinary Team, Team Learning, Team Development, COVID-19