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
University of Würzburg
Integrative & Experimental Science & Training
Würzburg, Germany
This email address is being protected from spambots. You need JavaScript enabled to view it.



Anton Kalén
Data Scientist
Luleå University of Technology
Department of Computer Science, Electrical and Space Engineering
Swedish Olympic Committee
Stockholm, Sweden
Luleå, Sweden


The 29th Annual Congress of the European College of Sport Science is proudly hosted by the University of the West of Scotland (UWS).
There are multiple registration categories available for ECSS Glasgow 2024. Find out which one applies to you.
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The ECSS is a non profit organisation, dedicated to Sport Science.

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