Join us at the ECSS SIG session on Data Science in Elite Sports.
Our aim is to highlight the role of data analytics in improving athletic performance and to foster collaboration across academia, industry and sports organisations. This year, we will discuss:
- Predictive analytics for talent identification.
- Machine learning for performance optimisation.
- The role of biometric data and wearable technology in training.
- Discuss experiences among colleagues.
- Ethical considerations in sports analytics.
This session is an opportunity for participants to engage with current trends in sports science and explore the impact of data science on elite sports.
The SIG Elite Sport is an optimal arena for:
- Networking and collaboration opportunities.
- Sharing of research findings and best practices in elite sports.
- Insights into training methodologies, sports psychology and performance analysis.
- Discussion on the latest advancements in sports science.
Date: Wednesday, 3 July
Time: 12:15-13:15 (during Lunch Break)
Session room: Alsh 2
Prof. Billy Sperlich
Integrative & Experimental Science & Training
University of Würzburg
Würzburg, Germany
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Anton Kalén
Data Scientist
Swedish Olympic Committee
Stockholm, Sweden
Luleå University of technology
Department of Computer Science, Electrical and Space Engineering
Luleå, Sweden
