Resource type
Date created
2019-11-19
Authors/Contributors
Author: Harell, Alon
Author: Bajic, Ivan V.
Abstract
As the importance and prevalence of sports analytics grows, so does the inequality in sports data. In this paper we examine two main sources of such disparity - the perceived hierarchy of sports and privatization of data. We argue that such inequality hurts the sports analytics community in the short and long terms, and suggest ways for the deep-learning, AI, and sports analytics communities to help mitigate the issue. Keywords: Sports Analytics; AI; Team Sports; Diversity
Document
Published as
Harell A., Bajic, I. V., The Data Gap in Sports Analytics and How to Close It, Artificial Intelligence in Team Sports Workshop at The Thirty Fourth AAAI Conference on Artificial Intelligence, NY, USA, 2020, Online Proceedings, available at https://ai-teamsports.weebly.com/uploads/1/2/7/0/127046800/paper9.pdf.
Publication details
Document title
The Data Gap in Sports Analytics and How to Close It
Date
2020
Published article URL
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
No
Language
English
Member of collection
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