[Kdml] EuADS Summer School on Automated Data Science

The European Association for Data Science (EuADS) is pleased to announce the 2025 instalment of its popular Summer School series. What: EuADS Summer School on Automated Data Science When: 8-11 July 2025 Where: Maison d’Accueil (Convent of the Franciscan Sisters), 50 avenue Gaston Diderich, L-1420 Luxembourg-Belair Register until: 20 May, 2025 With the increasing complexity of data science projects and the limited availability of human expertise, the idea of automating or partially automating the work of a data scientist has come to the fore in recent years. AutoDS aims to streamline the data science workflow, making processes such as data pre-processing, feature engineering, model selection, evaluation and deployment faster and more accessible. By reducing manual intervention, AutoDS enables both non-experts and data scientists to work more efficiently, scale projects, and make data science accessible to a broader audience. It leverages tools from automated machine learning (AutoML) frameworks, automated visualisation and interpretability techniques to enable efficient model tuning, robust evaluation and easy deployment. Despite its advantages in efficiency and scalability, challenges remain in automating subtasks that are context-dependent and require human interaction, as well as model interpretability, dependence on data quality, and ethical concerns related to bias in automated models. All this has created a vibrant field of work and opens the doors to a community that will find the right forum in this Summer School. The organisers have put together a highly attractive programme addressing the following topics: Tutorial 1: Tabular Learning, from Data Preparation to Foundation Models Tutorial 2: From Theory to Hands-On Workflow Automation, Algorithm Selection, and Hyperparameter Optimization Tutorial 3: Advances in AutoML for Deep Learning: An introduction to Neural Architecture Search, Metalearning and Learning Curves Tutorial 4: Meta-learning for data and algorithm analysis and understanding Tutorial 5: Towards Sustainable Automated Data Science ... because resource efficiency is not enough! The Summer School emphasizes the interdisciplinary nature of data science and is primarily aimed at PhD students, postdoctoral and early-career researchers with a basic grounding in data science, statistics, machine learning, AI, or related fields, and an interest in interdisciplinary research and applications. The EuADS Summer School is preceded by a public event on Tuesday afternoon, 8 July, during which Luc De Raedt (KU Leuven, Belgium) will deliver this year's Sabine Krolak-Schwerdt Lecture entitled 'Neurosymbolic AI: Learning and Reasoning for Trustworthy AI'. The public event will be followed by a welcome reception. The Summer School is planned as an in-person event and the symposium as an hybrid event. For more information including how to register see: https://www.euads.org/fjkdlasjdiglsmdgkcxjhvckh/euads-summer-school-2025/ For participants there are a limited number of affordable rooms available at the Maison d’Accueil, please have a look at our website. There are several hotels within walking distance. However, please note it is very urgent to make your reservation now because the Councils of ministers of the EU are all held in Luxembourg during the month of June and therefore prices will rise in the coming months. It is also worth nothing that in Luxembourg all public transport is free of charge. We look forward to seeing you in Luxembourg in July.