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

ENID | Enabling Innovation with Data Science at ETH Zurich

This 5-day course is intended for experienced professionals who wish to achieve business impact and innovation with data science. It features lectures on commonly used data science techniques and practical sessions on how to leverage data science within a business context.
January 17, 2025
NEWS & ARTICLES

MeteoSwiss and the SDSC join forces

The Federal Office of Meteorology and Climatology (MeteoSwiss) and the Swiss Data Science Center have signed a framework agreement.
PROJECT

DAAAD_Bridges

Domain-aware-AI Augmented Design of Bridge Structures
CASE STUDIES

Leveraging AI to foster sustainable consumer goods

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

ENID | Enabling Innovation with Data Science at ETH Zurich

Jan 17, 2025
Feb 28, 2025
ETH Zurich - Andreasturm, Andreasstrasse 5, 8092 Zurich-Oerlikon, Switzerland
Speaker(s):

News

Latest news

Smartair | An active learning algorithm for real-time acquisition and regression of flow field data
May 1, 2024

Smartair | An active learning algorithm for real-time acquisition and regression of flow field data

Smartair | An active learning algorithm for real-time acquisition and regression of flow field data

We’ve developed a smart solution for wind tunnel testing that learns as it works, providing accurate results faster. It provides an accurate mean flow field and turbulence field reconstruction while shortening the sampling time.
The Promise of AI in Pharmaceutical Manufacturing
April 22, 2024

The Promise of AI in Pharmaceutical Manufacturing

The Promise of AI in Pharmaceutical Manufacturing

Innovation in pharmaceutical manufacturing raises key questions: How will AI change our operations? What does this mean for the skills of our workforce? How will it reshape our collaborative efforts? And crucially, how can we fully leverage these changes?
Efficient and scalable graph generation through iterative local expansion
March 20, 2024

Efficient and scalable graph generation through iterative local expansion

Efficient and scalable graph generation through iterative local expansion

Have you ever considered the complexity of generating large-scale, intricate graphs akin to those that represent the vast relational structures of our world? Our research introduces a pioneering approach to graph generation that tackles the scalability and complexity of creating such expansive, real-world graphs.

Contact us

Let’s talk Data Science

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