Neue Zürcher Zeitung | A data lake, not a data swamp [In German]

Discover the highlights from the ORD for the Sciences Hackathon that took place Oct. 24-25, 2025 at EPFL.

The Federal Office of Meteorology and Climatology (MeteoSwiss) and the Swiss Data Science Center have signed a framework agreement.

RAvaFcast is a data-driven model pipeline developed for automated regional avalanche danger forecasting in Switzerland.

It is vital to design services and analytics that enable individual privacy protection and self-determination over their data, in such a way that enhances data synergy and empower weaker parties to access and consume data in a fair and responsible way.

The lack of transparency of black-box models is a fundamental problem in modern Artificial Intelligence and Machine Learning. This work focuses on how to unbox deep learning models for image classification problems.