Silvia Bartolucci (University College London) – Smart contracts and blockchain technologies

Website: [https://profiles.ucl.ac.uk/78445-silvia-bartolucci] and [https://smartbridgelab.co.uk/211-2/]

Bio: Dr. Silvia Bartolucci is an Associate Professor in the Department of Computer Science at University College London (UCL), where she is part of the Financial Computing and Analytics Group. Her research leverages network, statistical physics and data-driven modelling tools to investigate critical behaviour in socio-economic systems, assessing protocols’ design and applications of blockchain technologies, monitoring trends and issues in traditional and decentralized financial markets. Before joining UCL, Dr. Bartolucci was a Research Associate in the Department of Finance at Imperial College Business School, working within the Centre for Financial Technology. She holds a Ph.D. in Applied Mathematics from King’s College London and a background in Theoretical Physics from Sapienza University in Rome.

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Eddie Lee (Complexity Science Hub Vienna) – Modelling legal systems using complexity science

Website: [​​https://csh.ac.at/eddie-lee/]

Bio: Eddie Lee studies the role of information in the small and large living patterns around us. Examples range from the biology of neural tissue to the ecology of forests, the dynamics of armed conflict, and the processes of innovation and obsolescence in society. He is fascinated by how we paint those patterns on the shared canvas of mathematics and what the resulting similarities between the mathematical representations reveal about them. Do similarities reflect analogous function, universal dynamics, or are they (simply) artifacts of our representation? His work aims to answer these overarching questions that come together from the standpoint of information. He is a recipient of the Austrian Science Fund ESPRIT Fellowship at the Complexity Science Hub and formerly a Program Postdoctoral Fellow at the Santa Fe Institute. He has a PhD in Theoretical Physics from Cornell University — where he received a National Science Foundation Graduate Research Fellowship — and a BA in Physics from Princeton University. He has been invited to panels on the science of violence (Santa Fe Council on Int’l Relations), the physics of the 2021 Nobel Prize in Physics in complex systems (Santa Fe Institute), and the 2024 Nobel Prize in Physics in neural networks.

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Cari Hyde-Vaamonde (King’s College London) – Effects of algorithms and AI on the legitimacy of the justice system

Website: [https://www.turing.ac.uk/people/former-enrichment-students/cari-hyde-vaamonde]
               [https://carihv.com/]

Bio: Cari Hyde-Vaamonde is an experienced lawyer and court advocate with a keen interest in the intersection of law, technology, and artificial intelligence. Called to the Bar in 2006 after studying Law at King’s College London and receiving a scholarship from the Inner Temple Society, Cari practiced in a variety of fields, including technology law and court advocacy. Her growing interest in systematic research led her to pursue interdisciplinary collaborations and focus on the transformative potential of AI in justice settings. She is currently conducting research at King’s College London, supported by a prestigious UKRI four-year award, exploring the impacts of algorithms on the legitimacy of the justice system in England and Wales. Cari’s research interests lie in legal and technological innovation, criminal justice, judicial reasoning, and procedural justice. Her work combines empirical research methods from the social sciences with mathematical modeling to evaluate how public perceptions of legitimacy are shaped by the use of algorithms in judicial processes. She has been embedded at the Alan Turing Institute for interdisciplinary collaboration and has presented her findings at high-profile events such as the International Conference on Artificial Intelligence and Law and the Royal Anthropological Institute’s conference on Law and AI. She also serves as co-convener of the Innovations in Judging Collaborative Research Network for the Law and Society Association. Cari is particularly passionate about using visualization and art to make complex legal and technological ideas more accessible. She has been involved in projects such as Judged by the Machines? and the AI & Art Salon, which explore the interplay between AI, art, and justice. Her work reflects a commitment to bridging the gap between technological innovation and public trust, ensuring that reforms in the justice system are both effective and legitimate.

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Dirk Hartung (Center for Legal Technology and Data Science at Bucerius Law School in Hamburg, Germany) – Complexity science and the legal domain

Website: [https://legaltechcenter.de/en/people/dirk.html]

Bio: Dirk Hartung is an Assistant Professor of Law at Singapore Management University’s Yong Pung How School of Law’s Center for Digital Law. His research focuses on the intersection of law, computer science, and legal complexity. He was the founder and Executive Director of the Center for Legal Technology and Data Science at Bucerius Law School, an affiliate at CodeX – The Stanford Center for Legal Informatics, and a co-founder of the European Legal Tech Association. Dirk holds a law degree from Bucerius Law School and a PhD from Leibniz University Hannover. Before joining SMU, he played a key role in developing the Bucerius Summer Program in Legal Technology and Operations and has co-authored influential market reports on legal technology and operations in collaboration with Bucerius Center on the Legal Profession, the Boston Consulting Group and, most recently, a comprehensive monitor on the state of legal technology in Germany for the German Legal Tech Association. His research focuses on computational legal studies, the regulation of the legal profession, and the integration of technology into legal practice and education. His work spans natural language processing, data science, and quantitative legal studies, with a strong emphasis on legal complexity. The overarching goal of his research is to understand how we can leverage code, data, and law to navigate and improve the legal and justice system and the legal profession.

Corinna Coupette (Aalto University) – Legal Networks: From Principles to Practice

Website: [https://www.coupette.io/]

Bio: Corinna is an Assistant Professor of Computer Science at Aalto University, where they lead the Telos Lab conducting interdisciplinary research in the intersection of law, computer science, and complex systems. They are also a Guest Researcher at the Max Planck Institute for Informatics, a Research Affiliate at the Max Planck Institute for Tax Law and Public Finance, and a member of ELLIS. Before joining Aalto, Corinna obtained undergraduate, graduate, and postgraduate education in law and computer science, and they spent ten months as a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology and the Stockholm Resilience Center. Corinna completed their PhD in law with a thesis on Legal Network Science at the Max Planck Institute for Tax Law and Public Finance (Dr. iur. 2018) and their PhD in computer science on Exploring Graphs in Many Dimensions at the Max Planck Institute for Informatics (Dr. rer. nat. 2023), both with distinction. The overarching goal of their research is to understand how we can combine code, data, and law to better model, measure, and manage complex systems.

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External Speakers

Arthur Dyevre [https://www.arthurdyevre.org/arthur-dyevre/]

TBC