Higher Education in the Time Of COVID-19: A Data Science Approach
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Document Type
Presentation
Start Date
25-8-2020 4:00 PM
End Date
25-8-2020 5:00 PM
Description
In this talk we explore the impact of COVID19 on US universities and colleges by looking at data on the value, costs, resilience, and future of a set of about 430 institutions. Collected by Prof. Scott Galloway at NYU Sterns, this data provides us with a framework for a discussion of how universities will weather the pandemic's special economic shock to higher education. In addition to discussing our resilience to COVID19, we end with an open discussion on the post-pandemic future of higher education.
The audience will get some insight into how we might model the economic impacts of COVID19 on higher education. They will learn about how data scientists use collect and transform data to make such models, and how they build visualization tools for themselves and others explore that data. Data visualization not only helps to find answers, but allows us to find new questions. Finally, the audience will be asked to participate in an open discussion on possible future business models for residential liberal arts colleges like ours.
Speaker Bio
Jim Hetrick is a Professor of Physics and the Fletcher-Jones Professor of Data Science at the University of the Pacific.
Presentation Video
GMT20200825-225720_Research-T.m4a (25073 kB)
Presentation Audio Only
Higher Education in the Time Of COVID-19: A Data Science Approach
In this talk we explore the impact of COVID19 on US universities and colleges by looking at data on the value, costs, resilience, and future of a set of about 430 institutions. Collected by Prof. Scott Galloway at NYU Sterns, this data provides us with a framework for a discussion of how universities will weather the pandemic's special economic shock to higher education. In addition to discussing our resilience to COVID19, we end with an open discussion on the post-pandemic future of higher education.
The audience will get some insight into how we might model the economic impacts of COVID19 on higher education. They will learn about how data scientists use collect and transform data to make such models, and how they build visualization tools for themselves and others explore that data. Data visualization not only helps to find answers, but allows us to find new questions. Finally, the audience will be asked to participate in an open discussion on possible future business models for residential liberal arts colleges like ours.
https://scholarlycommons.pacific.edu/research-tuesdays/fall-2020/events/1
