Advances in Sports Analytics

12/01/22 • 57 min

For our exploration of Analytics, we are diving into the world of sports. Because of advances in machine learning, wearable technology, and computer vision, the field of sport analytics is a whole new game. This episode gets into the details on what is new, the impact of analytics and technology on athletes and sports, as well as the ethics surrounding its implementation. Three experts from the University of Virginia School of Data Science met to discuss this exciting topic: Natalie Kupperman, Stephen Baek, and Don Brown.

Previous Episode

WikiProject Biography

This bonus episode features a conversation between Lane Rasberry, Wikimedian-In-Residence at the UVA School of Data Science, and Lloyd Sy, a Ph.D. candidate in the UVA Department of English. In this conversation, Lane and Lloyd take a deep dive into the expansive world of Wikidata and ask the existential question, "What makes a person a person?" Or, more specifically, what data points make up a person? To help answer this question, Lloyd developed a large-scale data model of the biographical data contained within the Wikidata platform. This project serves as the foundation for their conversation. They also take a wide view of biographical data as it pertains to research and academia, including the process of gathering the data, the ethics of utilizing the data, personal ownership of the data, and much more. Anyone interested in these concepts should find this discussion valuable.

Links:

WikiProject Biography

Music:

"Screen Saver" Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/by/4.0/

Next Episode

The Future of Academic Data Science

In this episode we’re bringing you a conversation on the future of academic data science recorded live at UVA Data Science’s Datapalooza 2022 event

Datapalooza is a flagship event for the School of Data Science. It’s typically held each year in November and features presentations by researchers here at UVA, as well as friends and collaborators of the School of Data Science.

In this episode we’re featuring a panel discussion between:

Doug Hague, the Executive Director at UNC-Charlotte’s School of Data Science
H.V. Jagadish, Director of the Michigan Institute for Data Science at the University of Michigan
Phil Bourne, Dean of the UVA School of Data Science
And Micaela Parker, Founder and Executive Director of the Academic Data Science Alliance. Micaela also serves as the moderator for this panel discussion.

Links:

Future of Academic Data Science video recording

Michigan Institue of Data Science

UNC Charlottes School of Data Science

UVA School of Data Science