Legal network science explores how legal phenomena can be represented as networks and investigates what can be gained from their quantification and visualization. Corinna Coupette introduces legal network science to the German legal discourse. Based on an original dataset of decisions by Germany's Federal Constitutional Court, she develops tools for modeling, measuring, and mapping the law.
Legal network science explores how legal phenomena can be represented as networks and investigates what can be gained from their quantification and visualization. Corinna Coupette introduces legal network science to the German legal discourse. Based on an original dataset of decisions by Germany's Federal Constitutional Court, she develops tools for modeling, measuring, and mapping the law.
Corinna Coupette
Geboren 1992; Studium der Rechtswissenschaft an der Bucerius Law School und der Stanford Law School; 2015 Erste Juristische Staatsprüfung; 2018 Bachelor of Science in Informatik, Ludwig-Maximilians-Universität München; 2018 Promotion (Dr. iur.), Bucerius Law School; 2020 Master of Science in Informatik, Universität des Saarlandes; Wissenschaftliche Mitarbeiterin am Max-Planck-Institut für Informatik; Gast am Max-Planck-Institut für Steuerrecht und Öffentliche Finanzen; Fellow am Center for Legal Technology and Data Science der Bucerius Law School.
Quantitative Rechtswissenschaft Empirische Rechtswissenschaft Methodenlehre Zitationsanalyse Bundesverfassungsgericht Rechtsinformatik