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

Efficient and scalable graph generation through iterative local expansion

PROJECT

CLIMIS4AVAL

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

Repositioning drugs for a rare disease

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

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.
RAvaFcast | Automating regional avalanche danger prediction in Switzerland
March 6, 2024

RAvaFcast | Automating regional avalanche danger prediction in Switzerland

RAvaFcast | Automating regional avalanche danger prediction in Switzerland

RAvaFcast is a data-driven model pipeline developed for automated regional avalanche danger forecasting in Switzerland. It combines a recently proposed classifier for avalanche danger prediction at weather stations with a spatial interpolation model and a novel aggregation strategy to estimate the danger levels in predefined wider warning regions, ultimately assembled as an avalanche bulletin.
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.

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