Enabling data-driven science & innovation for societal impact

We accompany the academic community and the industrial sector in their data science journey, putting to work AI and ML and facilitating the multidisciplinary exchange of data and knowledge.

In the spotlight

EVENTS

SDSC-Connect 2023

November 9, 2023
BLOG

The ICRC and the SDSC cooperate to better understand patterns of violence

PROJECT

SEMIRAMIS

AI-augmented architectural design
CASE STUDIES

Job title standardization through entity alignment of knowledge graphs

About

The Swiss Data Science Center

In 2017, a national Data Science initiative from the ETH Board resulted in the creation of a unique joint venture between EPFL and ETH Zurich: the Swiss Data Science Center.

The Center’s mission is to accelerate the use of data science and machine learning techniques within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector.

Domains OF EXPERTISE

Meet our speakers and experts and gain knowledge with industry professionals.

collaborate

Innovation solutions for organizations

Through proofs of concept, talent transfers, academic expertise, objective feedback and more, we offer data science services to a wide variety of industries.

Next Events

Join us on our next events

SDSC-Connect 2023

Nov 9, 2023
ETH Zurich, Main Building, AudiMax, Rämistrasse 101, 8092 Zürich
Speaker(s):

News

Latest news

February 28, 2023

DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

Optoacoustic imaging is a new, real-time feedback and non-invasive imaging tool with increasing application in clinical and pre-clinical settings. The DLBIRHOUI project tackles some of the major challenges in optoacoustic imaging to facilitate faster adoption of this technology for clinical use.
November 14, 2022

LeafSim | An example-based XAI for decision tree based ensemble methods

LeafSim | An example-based XAI for decision tree based ensemble methods

LeafSim is an example-based explainable AI (XAI) technique for decision tree-based ensemble methods, explaining model predictions by identifying training data points that most influence a given prediction.
June 5, 2023

Montblanc | Applying data science to enhance resource efficiency in manufacturing processes

Montblanc | Applying data science to enhance resource efficiency in manufacturing processes

As we endeavor to reduce global CO2 emissions to avoid the worst impacts of climate change, Bühler Group is laying the technical foundations to make real impacts on the industry’s emissions through an innovative approach to optimizing manufacturing operations.

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Let’s talk Data Science

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Contact us for your next Data Science project!