The Physics of the Law
November 12, 2020 @ 15:00 - November 13, 2020 @ 15:00 UTC+2
The 2020 Physics of the Law Conference will take place online on November 12 and 13, 2020 and is linked to the Research Topic “The Physics of the Law” of Frontiers in Physics. The Conference is aimed at contributors to the special issues, practitioners and students active at the interface between legal studies and complexity science.
In recent years, a growing body of research understands the interaction of law and society as a complex adaptive system. There has been growth in social, political and economic complexity which has in turn manifested in legal complexity. In support of this view, in extant academic literature, scholars have leveraged techniques and tools from statistical physics, complexity and computational social science to both characterize and predict the behavior of various legal institutions.
In part to confront the scale and complexity of the law, the commercial sphere has seen significant growth in the advent of Legal Tech and use of applied disciplines such as processing engineering and design.
We welcome Original Research and Reviews where complexity science and quantitative approaches are employed to advance knowledge on the following (non-exhaustive) list of topics:
- Complexity of legal texts.
- Voting systems, including modeling and robust data analysis.
- Dynamics of democratic systems, including agent-based modeling and collective behavior of normed societies.
- Network-theoretical analysis of contracts, items of legislation, and normative systems.
- Topics at the interface between law and probabilistic reasoning.
- Quantitative analysis of LawTech and FinTech ecosystems, including emergence and development of new technologies (e.g. smart contracts).
- Machine-learning approaches to data mining from legal and political texts.
- Effect of regulations on financial markets (dark trading, liquidity and competition, traders’ behavior, …).
- Impact of digitalization and automation on society (e.g. legal services) as “complexity-reduction” engines.
- Algorithmic decision-making and human-machine assisted decision making.
- Political controversy and information spreading on social networks.
- Science in the Courtroom: juries, trials, and quantitative aspects of the administration of justice.