Trained as both a lawyer and data scientist, I apply advanced data analysis (in R and Python), theoretical models, and experimental methods from the social sciences to address legal questions.
Topics: My research interests span several substantive fields of law:
privacy, AI, information law, antidiscrimination law, and legal philosophy.
Methods: I integrate experimental designs with causal inference,
machine learning, and text analysis to leverage non-traditional data
sources such as images and texts.
I follow the principle that converging evidence from multiple methods
strengthens empirical legal analysis.
Luca Baltensperger and Stefan Bechtold. Consent or Pay? An Empirical Analysis of Voluntary Consent to Targeted Advertisements. Working paper.
Luca Baltensperger, Leander Etter, and Jakob Merane. Beschwerde, Recours, Ricorso? Eine empirische Studie zu (multilingualen) Zitiermustern in Bundesgerichtsurteilen. Forthcoming in Allgemeine Juristische Praxis (AJP).
Luca Baltensperger. Privacy Unraveling in the Digital Age. Working paper.
Luca Baltensperger, Alexander Stremitzer, and Stefan Bechtold. Salary History Ban Laws and the Aversion to Statistical Gender Discrimination. Working paper.