Wolfgang ALSCHNER
Hyman Soloway Chair in Business and Trade Law; Associate Professor
Faculty of Engineering, School of Electrical Engineering and Computer Science
Education
Professor Alschner holds a PhD in International Law from the Graduate Institute of International and Development Studies in Geneva, a Master of Law from Stanford Law School, a Master in International Affairs from the Graduate Institute as well as an LLB from the University of London and a BA in International Relations from the University of Dresden, Germany.
Professional Appointments
Professor Alschner is an empirical legal scholar specialized in international economic law and the computational analysis of law. He holds the Hyman Soloway Chair in Business and Trade Law.
He is an Associate Professor at the Common Law Section with cross-appointment to the Faculty of Engineering, School of Electrical Engineering and Computer Science. He is also a faculty member of the Centre for Law, Technology and Society at the University of Ottawa and heads the uOttawa Legal Technology Lab. Professor Alschner’s teaching materials on computational legal analysis are available on www.datascienceforlawyers.org.
Among his other roles and affiliations, Professor Alschner acts as a co-editor of the World Trade Review, a member of the editorial board of the Journal of International Economic Law (JIEL) and a member of the Academic Council of the Institute for Transnational Arbitration (ITA). He also co-founded the investment treaty analytics portal www.mappinginvestmenttreaties.com and the Electronic Database of Investment Treaties (EDIT).
Research Areas
His new book, Investment Arbitration and State-Driven Reform: New Treaties, Old Outcomes, recently published with Oxford University Press (2022), explores how a new generation of international investment treaties has been rolled back in investment arbitration practice.
His Areas of Expertise includes:
- International Investment Agreements
- Investor State Dispute Settlement
- Law of the World Trade Organization
- Empirical Legal Studies
- Computational Analysis of Law (Natural Language Processing, Machine Learning)
- Legal Network Analysis
- Coding for Lawyers
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