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

Data Science for the Sciences

The first Swiss conference on Data Science for the Sciences.
April 11, 2024
BLOG

ADORE | A benchmark dataset in ecotoxicology to foster the adoption of machine learning

PROJECT

CLIMIS4AVAL

Real-time cleansing of snow and weather data for operational avalanche forecasting
CASE STUDIES

Monitoring patterns of violence with the ICRC

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

Data Science for the Sciences

Apr 11, 2024
Apr 12, 2024
Casino Bern
Speaker(s):

News

Latest news

PassGPT | Using language models to enhance password security
February 6, 2024

PassGPT | Using language models to enhance password security

PassGPT | Using language models to enhance password security

PassGPT is a Large Language Model for password generation trained on leaked passwords, which can outperform existing methods based on generative adversarial networks by guessing twice as many unseen passwords.
ADORE | A benchmark dataset in ecotoxicology to foster the adoption of machine learning
January 24, 2024

ADORE | A benchmark dataset in ecotoxicology to foster the adoption of machine learning

ADORE | A benchmark dataset in ecotoxicology to foster the adoption of machine learning

Applying machine learning to ecotoxicology could help reduce the number of animal tests, costs, and animals sacrificed while preserving the accuracy of the in vivo tests.
License Flowers | Art and AI at SDSC
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

Contact us

Let’s talk Data Science

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