EuADS Summer School 2025 on Automated Data Science

Key facts:

When? July 8 to 11 2025

Where? Maison d’Accueil (Convent of the Franciscan Sisters), 50 avenue Gaston Diderich, L – 1420 Luxembourg-Belair 

What? Summer school of the European Association for Data Science (EuADS) on Automated Data Science

Register? Until 20 May, 2025

The EuADS Summer School 2025 is dedicated to the topic of Automated Data Science (AutoDS) and conveys central aspects of this field of research in a series of tutorials. In view of the increasing complexity of data projects and the limited availability of skilled labour, the (partial) automation of data-centric work processes is becoming increasingly important. AutoDS aims to make steps such as data pre-processing, feature engineering, model selection, evaluation and deployment more efficient and accessible - even for non-experts. Among other things, AutoML tools, automated visualisations and interpretability techniques are used.

Despite the advantages in efficiency and scalability, there are challenges, for example with context-dependent tasks, issues of model transparency, data quality and ethical aspects such as bias. These topics will be addressed in five tutorials by leading experts.

The Summer School is aimed at doctoral students, postdocs and researchers in early career phases with basic knowledge in data science, statistics, machine learning or related fields and an interest in interdisciplinary research.

The programme & topics:

Wednesday, July 9th

Gaël Varoquaux - National Institute for Research in Digital Science and Technology, FRA
"Tabular Learning, from Data Preparation to Foundation Models"

José Raúl Romero & Carlos García - University of Cordoba, ES
"From Theory to Hands - On Workflow Automation, Algorithm Selection, and Hyperparameter Optimization"

Thursday, July 10th

Jan van Rijn - Leiden University, NL
"Advances in AutoML for Deep Learning: An introduction to Neural Architecture Search, Metalearning and Learning Curves"

Ana Carolina Lorena - Instituto Tecnológico de Aeronáutica, BRA
"Meta-learning for data and algorithm analysis and understanding"

Friday, July 11th

Marcel Wever - Leibniz University Hanover, DE
"Towards Sustainable Automated Data Science… because resource efficiency is not enough!"

Alle weiteren Informationen gibt es auf der Webseite der EuADS!