From Regulating Human Behavior to Regulating Data
Tilburg University is the coordinating partner of the Digital Legal Studies collaboration. The consortium is hosted by the Tilburg Institute for Law, Technology, and Society (TILT) at Tilburg Law School.
Led by prof. dr. Ronald Leenes, the Tilburg team focuses on the shifting paradigm of regulation in the era of big data, artificial intelligence, and robotics. Researchers across different disciplines aim to map, understand and – if possible – help shape the shift from human-centric regulation to data-centric regulation.
University of Amsterdam
The Digital Transformation of Decision-Making
The University of Amsterdam is a partner in the Digital Legal Studies consortium. The faculty that hosts the consortium is the Amsterdam Law School, spearheaded by the Institute for Information Law (IViR)
Led by prof. dr. Natali Helberger, prof. dr. Mireille van Eechoud and prof. dr. Joris van Hoboken, the Amsterdam team focuses on automated decision-making (ADM) systems, which are set to replace human decision makers in a range of areas, from justice, to media, commerce, health and labor. Read more on the research initiative’s own website
Radboud university Nijmegen
Digital Conflict Resolution
At Radboud University Nijmegen, the Digital Legal Studies consortium is hosted by the university’s Faculty of Law
Led by prof. dr. André Janssen, the Nijmegen team explores the ways in which digitalisation affects (legal) conflict resolution. Researchers with different backgrounds and perspectives jointly focus on 4 main research topics: the digitalisation of courts and legal practice, alternative digital conflict resolution, enforcement in a digital world, and the legal requirements of digital information security.
Developing Technology for Law
The Law & Tech Lab
that hosts the consortium at Maastricht University is a unique research group with 7 computer scientists in residence.
The Maastricht team, led by prof. dr. Gijs van Dijck, focuses on creating sustainable digital-legal research infrastructures. The highly interdisciplinary team’s aim is to create a database that stores and links metadata – initially focusing on publicly available judicial and legislative datasets – that is suitable for testing and developing analytical tools (AI), in order to answer (empirical) legal research questions. Read more here.