DagRep.14.2.164.pdf
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Computational Approaches to Strategy and Tactics in Sports (Dagstuhl Seminar 24081)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 14, Issue 2
Volume: Dagstuhl Reports, Volume 14
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-07-30
Cite AsGet BibTex
Ulf Brefeld, Jesse Davis, Laura de Jong, and Stephanie Kovalchik. Computational Approaches to Strategy and Tactics in Sports (Dagstuhl Seminar 24081). In Dagstuhl Reports, Volume 14, Issue 2, pp. 164-181, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/DagRep.14.2.164
https://doi.org/10.4230/DagRep.14.2.164
Abstract
One of the most challenging and interesting aspects in sports are Strategy and Tactics. In this interdisciplinary Dagstuhl Seminar, we aimed to develop a computational understanding of these concepts in an interdisciplinary setting with researchers and practitioners from Machine Learning, Statistics, and Sports. The seminar was organized around the themes "Discovery", "Evaluation", and "Communication" that were introduced with tutorial and overview style talks about the key concepts to facilitate a common ground among researchers with different backgrounds. These were augmented by more in-depth presentations on specific problems or techniques. Besides several topical discussions in larger groups, there were two panel discussions dealing with differences between individual and team sports and bringing computational analytics into practice, respectively.
Subject Classification
ACM Subject Classification
- Computing methodologies → Artificial intelligence
- Computing methodologies → Machine learning
Keywords
- AI
- machine learning
- sports
- team
- athletes
- strategy
- tactics
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