Data

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In our digital world, data is produced on an unprecedented scale. Securing and evaluating this data opens up new possibilities for fundamental research, enabling data science to gain new knowledge and help to develop solutions to the important issues of today.

Themenbild Daten
Durch Strukturierung, Vernetzung und Analyse können Forschende aus Datenströmen neues Wissen generieren. (Bild: ETH Zürich / Gian Marco Castelberg)

Data science is at the interface of data management and engineering sciences, statistics, machine learning, algorithms, data optimisation and data visualisation. Its methods and knowledge are used, inter alia, in social and economic sciences, medicine and environmental science.

Researchers at ETH Zurich are developing new approaches to data science and machine learning. They are involved with other institutions at interdisciplinary research centres; ETH Zurich and EPFL jointly operate the Swiss Data Science Center in Zurich and Lausanne, which brings the expertise of data specialists together and offers an interdisciplinary platform that enhances education and the transfer of knowledge. As part of this national initiative, for example, ETH Zurich trains Master’s students in data science.

At the Max Planck ETH Center for Learning Systems, ETH Zurich and the Max Planck Society investigate the basic mechanisms of complex systems and develop approaches for learning systems that process data in new ways. At the Zurich Information Security and Privacy Center (ZISC), ETH researchers work with leading industry partners to develop new approaches to secure information systems and data exchange. ETH Zurich is setting up the Citizen Science competence centre with the University of Zurich to involve citizens in data science.

ETH Zurich is expanding its infrastructure in order to carry out data-intensive research. In 2017, it has set up LeonhardOpen and LeonhardMed; these two storage and computer clusters are capable of examining huge amounts of data for patterns and contexts.

Another special computing infrastructure is the supercomputer at the Swiss National Supercomputing Centre CSCS in Lugano, which is part of ETH Zurich. The CSCS is developing both its supercomputing infrastructure towards the exascale performance class and its user lab for simulation-based science. This means that questions that previously would have taken months to solve, if at all, can now be processed by the supercomputer in a few days.

News on data science

19.07.2017

“It’s always a compromise”

Digitalisation simplifies many aspects of our everyday life, but it also creates new risks. Srdjan Capkun, Professor for Information Security, explains how to find the right balance between convenience and security. Read more 

10.07.2017

Smart technology needs smart users

What’s the point of smart assistants and intelligent electricity meters if people don’t use them correctly? In order to cope with the energy transition, we need a combination of digital technologies and smart user behaviour – and the social sciences can help. Read more 

04.07.2017

On fast track at ETH

At the age of 29, Professor of Computer Science Mohsen Ghaffari is one of the youngest professors at ETH Zurich. But in his native Iran he originally studied quite a different subject. Read more 

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Fri Jul 21 20:31:00 CEST 2017
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