Challenge by Latvian Olympic Committee - Smarter Insights from Performance Data

In the digital age of sports, vast amounts of data are generated — from competition results and wearable devices to environmental conditions and athlete biometrics. Yet, much of this data remains disconnected, unstandardized, and underutilized.

How can we responsibly collect, analyze, and visualize information about an athlete’s physical condition and performance level without exposing personal data?

Can competition or training data be combined with environmental factors (such as temperature, humidity, and wind) to reveal performance trends — while ensuring the athlete’s privacy through anonymization, consent-based use, or federated data models?