ETH Foundations of Data Science

Illustration data science — When data automatically drop from the sky: intelligent approaches in data science change the way humans and computers interact. (Illustration: Niklas Briner)

The foundations of data science are in computer, information and mathematical sciences, machine learning and statistics. The recently emerging areas and applications call for new fundamental research and with this also for new educational curricula. Contributions to the foundations of data science have an impact on the upcoming decades: new methodological developments and mathematical theory will impact many modern application areas and will radiate to a massive number of users. ETH-FDS aims to bring together existing excellence and expertise within ETH Zurich to further strengthen top research in the foundations of data science across different departments of ETH Zurich.

Members

Afonso Bandeira, Helmut Bölcskei, Peter Bühlmann (Director), Joachim Buhmann, Yuansi Chen, Niao He, Thomas Hofmann, Andreas Krause, Rasmus Kyng , Amos Lapidoth, Hans-Andrea Loelliger, Nicolai Meinshausen, Siddhartha Mishra, Jonas Peters, Gunnar Rätsch, Christoph Schwab, external page David Steurer, Fanny Yang, Rico Zenklusen, Johanna Ziegel

Participating departments

ETH-FDS is a cooperation of the following departments:

Department of Computer Science
Department of Information Technology and Electrical Engineering
Department of Mathematics

Stiefel lectures

ETH-FDS organizes the Stiefel lectures. Further information can be found here.

Foundations of Data Science Seminar

ETH-FDS organizes a seminar series on the foundations of data science. Further information can be found here.