In this event, Prof Peter Murrell (University of Maryland, Department of Economics) will present his and Prof Peter Grajzl's recent work that applies machine-learning methods to a comprehensive corpus of 52,949 reports of cases heard in England's high courts before 1765 in order to develop a tractable model of the evolution of legal-cultural ideas and their prominence in case reports. More broadly, during this workshop we will discuss the robustness of Prof Murrell and Prof Grajzl's methodology in order to identify potential application areas of this research methods in socio-legal, doctrinal legal and historical legal and economic research.

Participants with no prior knowledge of machine-learning, yet with general interest in legal and economic history or those with interest in novel research methods are also welcome to attend.

Pre-reading
Schedule
  • 1.00pm - 1.30pm: Online networking (feel free to bring your own refreshments)
  • 1.30pm - 2.15pm: Opening talk
  • 2.15pm - 2.45pm: Q&A
  • 2.45pm - 3.00pm: Open discussion

To attend this event, please register below.

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