Lucia M. Sommerer
Law & Behavior Symp. 2017, Fukuoka, Japan
Big Data and Algorithmic Decision-Making in the Criminal Law System
Lucia Sommerer studied law at Ludwig-Maximilians-University Munich and Oxford University. During her time in Munich she has focused inter alia on the legal regulation of climate engineering technologies such as carbon capture and storage. She is currently a PhD Researcher at the Institute for Criminology at Georg-August-University Göttingen where she explores the use of predictive algorithms in the criminal law system. Mrs. Sommerer has taught sociology of law and criminal law as a Teaching Fellow at Göttingen University. Her past activities have included Research Assistant with Hogan Lovells LLP and the Sino-German Institute for Legal Studies in Nanjing, China. She has received various scholarships including by the German National Academic Foundation and the German Academic Exchange Service.
Blauer Turm / MZG
Tel.: 0551 / 39 - 21183
Kontakt via Email
(Projektstelle innovative Lehrkonzepte "Rechtssoziologie - eine grundlagenorientierte Ausbildung")
On 13.03.2017 Mrs. Sommerer is participating in the Law and Behavior Symposium of Kyushu University, Japan with a presentation on Predictive Policing.
On 22.02.2017 Mrs. Sommerer is praticipating in the 20th European Police Congress in Berlin.
On 06.01.2017 Mrs. Sommerer is participating in an interdisciplinary exchange with the Max Planck Institute for Software Systems with a presentation on Predictive Policing at the Intersection of Law and Computer Science.
On 16.12.2016 Mrs. Sommerer is participating in the "IEEE Workshop on The Human Use of Machine Learning?" at the European Centre for Living Technology in Venice with a presentation on Predictive Policing.
On 09.12.2016 Mrs. Sommerer is partcicipating in the interdisciplinary workshop "Privacy, Data Protection & Surveillance" at the Humboldt Institute for Internet and Society in Berlin with a presentation on Predictive Policing.
On 18. - 19.11.2017 Mrs. Sommerer is participating in the Workshops "Fairness, Accountability, and Transparency in Machine Learning?" and " Data and Algorithmic Transparency" at New York University Law School.