Many complex systems feature multilateral interactions that change over time. These systems are faithfully represented as evolving hypergraphs: Graphs in which nodes or edges can be added, modified, or deleted, and any number of nodes can participate in an edge. In this talk, I will present ongoing work on methods to explore evolving hypergraphs, illustrated with exemplary applications from the legal domain. In particular, I will discuss how we can leverage notions of node and edge curvature based on random walks to capture changes in the contextualization and interpretation of judicial decisions, and to elucidate power dynamics within and between panels of judges.
Corinna Coupette is a final-year PhD student in computer science at the Max Planck Institute for Informatics and a fellow at the Bucerius Center for Legal Technology and Data Science. She obtained a PhD in law from Bucerius Law School with a thesis on legal network science as well as degrees in computer science from LMU Munich (BSc) and Saarland University (MSc). Corinna is an open-science enthusiast. Her primary research theme is complex data, with emphases on exploratory methods for data analysis, expressive representations of relational data, and transdisciplinary projects. In the intersection of computer science and law, she strives to create high-quality datasets and develop domain-specific methods to measure, monitor, and manage complex legal systems.
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Corinna Coupette will give a talk on March 23, 2023 at 3 PM in the Salon.