Ioannis Panagis serves as a Data Specialist at the iCourts Centre of Excellence for International Courts and Governance within the Faculty of Law at the University of Copenhagen. Holding a PhD in Computer Engineering from the University of Patras, he bridges computational methodologies with legal scholarship through interdisciplinary research in legal network analysis and data science applications. Education: PhD in Computer Engineering, University of Patras Research Focus: Panagis specializes in social network analysis of legal citation systems, particularly within European Union law, and develops data science techniques for legal text analysis. His work integrates computer science principles with jurisprudence to examine case law structures, judicial influence patterns, and digital platform regulation. Key methodologies include network metrics, text similarity algorithms, and cloud-based processing of legal datasets. Research Evolution: His publication trajectory (2015-2023) demonstrates progression from foundational studies on EU case law citation networks toward advanced computational approaches. Early work established frameworks for multi-dimensional legal network analysis, while recent research (2023) pioneers paragraph-level citation prediction models. This evolution reflects growing sophistication in applying machine learning and natural language processing to complex legal phenomena. Professional Engagement: As Editor of Social Network Analysis and Mining since 2020, Panagis contributes to scholarly discourse in network science. His research outputs have accumulated significant citations (notably 48 for his 2017 consumer law study) and demonstrate impact through policy references and academic discussion. He remains actively affiliated with iCourts, leveraging computational approaches to advance understanding of international judicial systems.
