D-INFK news channel

Professor Andreas Krause from the Department of Computer Science has been named ACM Fellow for his contributions to learning-based decision making under uncertainty. Big congratulations!

Studying Data Science at ETH Zurich means being part of one of the most exciting driving forces of today’s Information Age. To gain deeper insights into the field, we have talked to various students, professors, and an alumna. In these video conversations, the interviewees elaborate on the growing need and importance of data science – both now and in the future.

The EXCLAIM research initiative is developing a new generation of high-resolution weather and climate models. D-INFK professors Torsten Hoefler and Andreas Krause, as well as the Swiss Data Science Center, are part of the multidisciplinary project.

Professor Andreas Krause, head of the Learning & Adaptive Systems Group at the Department of Computer Science at ETH Zurich, Academic Co-Director of the Swiss Data Science Center and Chair of the ETH AI Center, has been honoured with the Rössler Prize.

The Federal Statistical Office (FSO) is joining forces with the Swiss Data Science Center (SDSC) to encourage the use of data science and artificial intelligence within the administration.

Congratulations to Dr Fernando Perez Cruz. The current Chief Data Scientist at the Swiss Data Science Center (SDSC), and Lecturer at our department, has been awarded the title Adjunct Professor.

Bühler AG and the Swiss Data Science Center have collaborated to establish a new approach for the design of cooling, in order to further increase the process performance and still maintain high part quality.

Data science methods have applications in many different fields in academia and industry. To foster the adoption of data-driven science, the Swiss Data Science Center was founded two and a half years ago. Jointly backed by ETH Zurich and EPFL and supported by the computer science departments of both universities, the centre has already made significant progress towards its goal to make data science more open, transparent and accessible in both academia and industry.

The new ETH+ initiative to strengthen data science, spread across several departments, was launched in January 2019.

ETH Lausanne and ETH Zurich’s Swiss Data Science Center is off to a successful start. In September, scientists at the Center launched their open source platform Renga. First research projects have been chosen.