The Data Science section studies data-driven methods at the nexus of machine learning, computational social science, healthcare, urban studies, ethics, and engineering. Characterized by its breadth and depth, the section simultaneously pioneers foundational advances and major interdisciplinary applications and aims at shaping how data is harnessed, understood, and governed in modern society.

Through internationally recognised projects, open-source software, and direct collaborations with public sector and industry partners, the section continues to translate critical research into impactful, real-world outcomes.