Greenwood has redesigned the MIT Media Lab eCitizen page so that it now focuses on the Computational Legal Science program.
The resources listed there now include the following:
Several GitHub repositories related to the program:
- LegalScience: https://github.com/legalscience
- LegalPhysics: https://github.com/legalphysics
- System Rules: https://github.com/HumanDynamics/SystemRules
- Legal Agreements: https://github.com/HumanDynamics/LegalAgreements
- FIPS (Fair Information Practices Services): https://github.com/HumanDynamics/FIPS
If I understand correctly, Greenwood is defining Computational Legal Science as the application of Lazer, Pentland, and colleagues’ (2009) computational social science framework, to law. This involves treating law as data and applying quantitative social-scientific analytic methods to it.
Greenwood defines “Legal Physics” as “the social science that involves the study of legal matters and their motion through space and time, along with related concepts such as resource allocation and enforceability.”
Other recent resources on law and computational social science include:
- Sebastiano Faro and Nicola Lettieri’s special issue of Rivista Informatica e diritto, on the theme of “Law and Computational Social Science”, and their 2012 article, Computational Social Science and its Potential Impact upon Law;
- Daniel Martin Katz, Michael J. Bommarito and colleagues’ research on Computational Legal Studies;
- Will Lowe’s 2013 APSA program on New Methods in Legislative Studies;
- John Sheridan’s work on Big Data and Law, legislative Linked Data, Legislation as Data, and legislative APIs;
- Leibniz Center for Law‘s research on legislative Linked Data, automatic updating of legal resources in public administration systems, legislative network analysis, and legal metadata standards;
- Legal textual analysis papers at the New Directions in Text as Data conferences;
- Monica Palmirani and colleagues’ work on the LegalRuleML and LegalDocumentML and related standards;
- Monica Palmirani and colleagues’ book, AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents;
- Enrico Francesconi and colleagues’ book, Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language;
- Meritxell Fernández-Barrera and colleagues’ book, Law and Technology: Looking into the Future: Selected Essays;
- J. Breuker and colleagues’ book, Law, Ontologies and Semantic Web: Channelling the Legal Information Flood;
- Pompeu Casanovas and colleagues’ book, Computable Models of the Law: Languages, Dialogues, Games, Ontologies;
- much other recent research in legal informatics, published in such journals as Artificial Intelligence and Law and Journal of Open Access to Law, and in the proceedings of conferences including ICAIL, JURIX, IRIS, JURISIN, and Law via the Internet, and of workshops including SPLeT (Semantic Processing of Legal Texts) and AICOL (Artificial Intelligence Approaches to the Complexity of Law).