Data Sciences

Taking a novel perspective, EPFL researchers have studied political polarization in online news consumption rather than content production, looking at whether the backlink structure of online news networks alone, or users’ explicit reading choices contribute to the partisan divide. 

Torrential rain and flooding have dominated the weather over the past few weeks. To forecast these weather events with greater accuracy and gain a better understanding of them against the backdrop of global climate change, ETH Zurich and partners are developing a new generation of high-resolution weather and climate models.

An international research team of cryptographers completed a detailed security analysis of the popular Telegram messaging platform identifying several weaknesses in its protocol that demonstrate the product falls short of some essential data security guarantees.

The Paul Scherrer Institute, in cooperation with the Swiss Federal Institute of Technology in Lausanne EPFL, is establishing a new research division: Scientific Computing, Theory, and Data.

A team of scientists has developed a new model for simulating both iceberg calving and the tsunamis that are triggered as a result. Their method can help improve hazard assessment in coastal areas and refine the empirical calving models used to evaluate rising sea levels.

Researchers at EPFL have developed a technology based on nanophotonics and data science to detect and monitor cancer biomarkers at an early stage. Their research is published in Nature Communications.