A 3rd SDSC office at the Paul Scherrer Institute

Another office for the Swiss Data Science Center will be established at the Paul Scherrer Institute PSI. To this end, the ETH Board has approved an increase of five million Swiss francs in the budget of the strategic focus area Data Science. The main aim of this expansion is to help improve the evaluation and processing of the growing amounts of data from large and complex research infrastructures, sensor networks, and databases at PSI and the other three federal research institutes, Empa, WSL, and Eawag. The resources and expertise will be available to all institutes in the ETH Domain.
By
SDSC
April 29, 2021
Share this post

Growth in the data sciences

Another office for the Swiss Data Science Center will be established at the Paul Scherrer Institute PSI. To this end, the ETH Board has approved an increase of five million Swiss francs in the budget of the strategic focus area Data Science. The main aim of this expansion is to help improve the evaluation and processing of the growing amounts of data from large and complex research infrastructures, sensor networks, and databases at PSI and the other three federal research institutes, Empa, WSL, and Eawag. The resources and expertise will be available to all institutes in the ETH Domain.

More precise and modern measurement methods mean more detailed insights into the world that surrounds us. But they also mean that a lot more data is generated. "Processing and evaluating the data is becoming an ever greater challenge," says Gerd Mann, overall head of IT at PSI.

The Swiss Data Science Center (SDSC) supports the ETH Domain with expertise and new methods such as machine learning and artificial intelligence to face the challenges encountered in research problems requiring complex data processing. The SDSC was created in 2017 as part of the strategic focus area Data Science and up to now has been located at ETH Zurich and the École Polytechnique Fédérale de Lausanne EPFL. A third site will now be set up at PSI in Villigen in the coming years. "This new unit will help further bridge the gap between data scientists and domain scientists while addressing the exploding growth of scientific data collected by the large-scale research infrastructures in Switzerland”, says Olivier Verscheure, SDSC Director.

Another aim is to expand the existing cooperation between PSI and the Swiss supercomputer center Centro Svizzero di Calcolo Scientifico CSCS.

Data explosion – an opportunity for science

Estimates indicate that over the next four years the amount of data generated annually at PSI alone will increase from the current level of around 3.6 petabytes (= 3.6 quadrillion bytes) to more than 50 petabytes. One reason for this is the planned upgrade of the Swiss Light Source under the project name SLS 2.0. During the same period, the X-ray freeelectron laser SwissFEL will be going into regular operation with additional beamlines, and thus new, even more complex detectors will be contributing to the flood of data.

"It is not only PSI that is facing the challenge and the opportunities of the growing amount of data, but also other research areas within and outside the ETH Domain," Gerd Mann stresses.

Today, wherever researchers are investigating complex systems, measurements are generating more – and more complex – data. This also applies to the life sciences and environmental sciences, where much of the work involves analysing images and videos. For example, high-resolution video recordings can produce more than seven terabytes of raw data per hour.

Text: Paul Scherrer Institute/Brigitte Osterath

Contacts

  • Dr. Olivier Verscheure
    SDSC Director
    olivier.verscheure@datascience.ch
  • Dr. Gerd Mann
    Head of IT
    gerd.mann@psi.ch

About the author

Share this post

More blog posts

June 3, 2025

The SDSC introduces the Renku 2.0 platform for collaborative research

The SDSC introduces the Renku 2.0 platform for collaborative research

The SDSC takes collaboration to the next level with its Renku 2.0 open-source collaboration platform.
Our News
May 1, 2025

PAIRED-HYDRO | Increasing the Lifespan of Hydropower Turbines with Machine Learning

PAIRED-HYDRO | Increasing the Lifespan of Hydropower Turbines with Machine Learning

Hydropower accounts for almost 60% of Swiss energy production, which is likely to increase with a shift to renewable energy...
Blog

More news

December 12, 2024

SDSC News - December 2024 Newsletter

SDSC News - December 2024 Newsletter

Dear SDSC Community, we are excited to introduce SDSC News, a platform to keep you informed about the latest developments, projects,...
SDSC Newsletters
February 21, 2024

License Flowers | Art and AI at SDSC

License Flowers | Art and AI at SDSC

An adventure to create art using AI to raise awareness on code licenses
Blog
October 10, 2024

Data-Driven Control Methods in Energy and Manufacturing

Data-Driven Control Methods in Energy and Manufacturing

The Swiss Data Science Center (SDSC), in collaboration with Empa and Bühler Group, co-organized a workshop to explore data-driven control methods in energy and manufacturing. The event brought together experts from academia and industry to discuss cutting-edge approaches like Rule-Based (RB) Controllers, Model Predictive Control (MPC) and Reinforcement Learning (RL). Participants examined real-world applications and addressed the challenges of adopting these advanced methods in production environments.
Our News

Contact us

Let’s talk Data Science

Do you need our services or expertise?
Contact us for your next Data Science project!