
We use data science to find predictors for court decisions
Explore the pillars of our research:
Publications on legal research methods and data science
- Medvedeva, M., Xu, X., Wieling, M., & Vols, M. (2020). JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights. In S. Villata, J. Harašta, & P. Křemen (Eds.), Legal Knowledge and Information Systems: JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9–11, 2020 (pp. 277-280). IOS Press.
- Medvedeva, M., Vols, M., & Wieling, M. (2020). Using machine learning to predict decisions of the European Court of Human Rights. Artificial Intelligence and Law, 28(2), 237-266. https://doi.org/10.1007/s10506-019-09255-y
- Vols, M. (2020), Juridisch onderzoek, The Hague: Boom Juridisch 2020.
- Bruijn, L. M., & Vols, M. (2020). Upperdogs versus Underdogs: Judicial Review of Administrative Drug-Related Closure Cases in the Netherlands. Recht der Werkelijkheid, 41(1), 25-49. https://doi.org/10.5553/RdW/138064242020041001004
- Bruijn, L. M., Vols, M., & Brouwer, J. G. (2018). Home closure as a weapon in the Dutch war on drugs: Does judicial review function as a safety net? International Journal of Drug Policy, 51, 137-147. https://doi.org/10.1016/j.drugpo.2017.08.003
- Vols, M. & Jacobs, J.P.A.M (2017), Juristen als rekenmeesters: over de kwantitatieve analyse van jurisprudentie, in P.A.J. van den Berg & G. Molier (Eds.), In dienst van het recht, Den Haag: Boom Juridische uitgevers.
- Vols, M., Tassenaar, P.G. & Jacobs, J.P.A.M. (2015), Dutch Courts and Housing Related Anti-social Behaviour. A first statistical analysis of legal protection against eviction, International Journal of Law in the Built Environment, 7, pp. 148-161.