Since its founding in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative centre of higher education offering high-quality teaching and research. We encourage the 37,000 students and researchers to develop their own individual talents. Among the best research universities in Europe, we join forces with prestigious partner universities and networks around the world, the University of Groningen is truly an international place of knowledge.
The Faculty of Law is building on a longstanding tradition of four centuries. Its mission is to be an ambitious top-ranking faculty of law with both high-quality education and research, with a strong international orientation, firmly rooted in the North of The Netherlands.
The faculty creates and shares knowledge through outstanding education and research, benefitting society. With more than 3,400 students, the faculty is heavily involved in educating students, both Dutch and international. The faculty is a modern, broad and international institution, educating students to become forward-looking, articulate and independent lawyers.
European Research Council project
This position is part of the European Research Council (ERC) Starting Grant project “The Impact of the International Right to Housing on National Legal Discourse: Using Data Science Techniques to Analyse Eviction Litigation (EVICT)”. The project is led by Prof. Michel Vols, and positioned within the Department of Legal Methods.
This project aims to:
A. conceptualise the international right to housing by analysing this right as a loosely associated network of housing rights, as codified in or implied by international and European treaties, case law, and the decisions of international and European official bodies and committees;
B. determine and explain the impact, or lack thereof, of the international right to housing on national legal and judicial discourses by collecting and analysing data on citations of international case law used in national case law, extracting and assessing data on arguments used by parties/courts in case law, and examining the power of particular normative arguments used in the data;
C. identify and explain the predictors of judicial decision-making in national eviction litigation by applying Machine Learning techniques, and assess whether these predictors can be linked to the right to housing discourse;
D. explore how data science methods used in EVICT can be used in other areas of the legal discipline;
E. share the collected corpora of legal data on an open access data hub (www.eviction.eu).