This service offers training events on data science and AI for the greater good. They gather PhD students, young researchers, and practitioners to learn methods for data analysis, machine learning, and responsible AI, with a strong focus on ethics, governance, and European data policies. Mornings feature lectures and keynotes; afternoons are dedicated to hands‑on group projects evaluated by experts. Themes encompass information, political, and social dynamics, as well as open science, sustainability, and data altruism, all set within a collaborative environment that integrates technical work with networking and cultural activities.
This service proposes training events for industry professionals and researchers on leveraging data science and AI for mobility, retail, finance, and public services, with a strong emphasis on responsible innovation. Participants learn scalable analytics, machine learning, and data engineering through lectures and hands‑on labs using real‑world datasets, often co-designed with companies and public bodies. Joint project work lets mixed academic–industry teams prototype solutions, stress‑test business ideas, and explore new data-driven services, while sessions on ethics, governance, and EU regulation help align products with compliance and societal expectations
