Challenge 1: Performance Metrics in Sports Climbing
Using video footage from this year's European Championships in Sports Climbing, show us how performance metrics can be extracted from pose estimation data.
Challenge 2: Find the Playmaker - Ice Hockey Data Analytics Next Level
Using an event data set and The Goal-Scoring Project, show us how you can automatically detect 2-3 goal scoring situations to identify players that create danger #playmakers of the game!
Challenge 3: The Physics of Alpine Skiing
Using an anonymous sample of alpine skiers GPS Tracking data (INSIDERS), show us how you can visually describe the race through physical metrics that describe the forces at play.
Challenge 4: Utilise an LLM to improve running event communication
Using a text corpus that contains event information, questions from runners and the associated answers, show us how far an LLM can automate response from runners.
Challenge 5: Season Summary
Using an anonymous sample of alpine skiers performance data, show us how you can engage with the athlete with an animated data visualisation that can be shared via social media channels and improve athlete and fan engagement.
Challenge 6: Make Run Fun for Everyone
Using real-time geospatial data from a running competition, develop real-time games which can engage runners as well as spectators.
