ETH Zurich | Empowering data-driven science

The SDSC and Idiap have partnered to develop Renku, a cutting-edge collaborative data science platform.

50 proposals were selected through the review processes of the SDSC's first National Calls.

Press Release: The SDSC has announced its support for 50 proposals, carefully selected through its 1st National Calls.

Have you ever considered the complexity of generating large-scale, intricate graphs akin to those that represent the vast relational structures of our world? Our research introduces a pioneering approach to graph generation that tackles the scalability and complexity of creating such expansive, real-world graphs.

Researchers at Eawag and the Swiss Data Science Center have trained AI algorithms to predict how toxic chemicals are to fish.

The goal of CarboSense4D is to produce an accurate map of the evolution of carbon dioxide over Switzerland by applying machine learning methods from a network of low-cost sensors.