Access Full Paper from Frontiers in Physics !
Chief Data Officer (CDO) Magazine Announces Its 2021 List of Leading Academic Data Leaders
Very happy to be included on the list for both my Academic Work as well as my work in industry (e.g. LexPredict / Elevate). Access Here !
The Lasting Lessons of John Conway’s ‘The Game of Life’
Nice to see Game of Life get some coverage in the NY Times … takes me back to my time at Michigan Complex Systems and teaching the ICPSR Summer School Class in Complex Systems … I was sad to see that we lost John Conway to COVID earlier this year.
The Year in Search 2020 … (via Google Trends)
Link to report here
Legal Informatics – Cambridge University Press (2021)
We are very pleased to announce pre-orders for “Legal Informatics” (Cambridge University Press – (Coming in early 2021) are now available on Amazon / Cambridge. Our book is designed to be an introduction to the academic discipline underlying the economic and technological transformation of the legal industry. Legal Informatics features contributions from more than two dozen academic and industry experts, chapters cover the history and principles of legal informatics and background technical concepts – including natural language processing and distributed ledger technology. The volume also presents real-world case studies that offer important insights into document review, due diligence, compliance, case prediction, billing, negotiation and settlement, contracting, patent management, legal research, and online dispute resolution. It is hardbound book ~600 pages in length.
#LegalInformatics #LegalTech #LegalInnovation #MachineLearning #NetworkScience #NLP #LegalScience
“When Howey Met Satoshi: Securities Law and Digital Assets” – Pat Daugherty – Foley & Lardner
Yesterday – Pat Daugherty @daughertylawyer from Foley and Lardner gave a guest lecture in our Blockchain, Cryptocurrency & Law at Illinois Tech – Chicago Kent Law. The lecture was entitled “When Howey Met Satoshi: Securities Law and Digital Assets.” Lots of key ideas and a very good capstone for us this semester.
A Third Vaccine Success – Oxford University breakthrough on global COVID-19 vaccine
Very promising news — and now some of the key questions for 2021 …
What is the Venn between these candidate vaccines?
Hopefully it is not perfectly overlapping so a patient can take one vaccine if another vaccine proves to be ineffective.
Where is the testing regime to allow folks to explore the efficacy at the personal level?
While it is helpful to offer a characterization of the mean-field performance of a vaccine, we cannot expect folks to ‘get back to normal’ unless they have some personal assurance that the vaccine has actually worked for them.
How long does immunity last ?
This is still unknown. 6 months, 1 year, etc. Also, even if the vaccine ‘fails’ or wanes how much does it reduce the severity of COVID-19?
What about Children?
Trials for Children have yet to begin (or have only recently started). While Children appear to have had less issues with COVID-19 (perhaps because of exposure to other coronaviruses, etc.), there is still the question of how well the vaccine will perform on Children.
OpenEDGAR: Open Source Software for SEC EDGAR Analysis is published in MIT Computational Law Report
Today our Paper – “OpenEDGAR: Open Source Software for SEC EDGAR Analysis” was published in MIT Computational Law Report.
ABSTRACT: OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC). OpenEDGAR is built on the Django application framework, supports distributed compute across one or more servers, and includes functionality to (i) retrieve and parse index and filing data from EDGAR, (ii) build tables for key metadata like form type and filer, (iii) retrieve, parse, and update CIK to ticker and industry mappings, (iv) extract content and metadata from filing documents, and (v) search filing document contents. OpenEDGAR is designed for use in both academic research and industrial applications, and is distributed under MIT License at https://github.com/LexPredict/openedgar
Final Data on the Physics of Law ONLINE Conference !
Thanks to everyone who attended The Physics of Law Virtual Conference earlier this month. Overall, we had 292+ Attendees from 48 Countries watch the presentation of 20 Academic Papers by 62 Authors. We saw a wide range of methods from Physics, Computer Science and Applied Mathematics devoted to the exploration of legal systems and their outputs.
Methodological approaches included Agent Based Modeling, Game Theory and other Formal Modeling, Dynamics of Acyclic Digraphs, Knowledge Graphs, Entropy of Legal Systems, Temporal Modeling of MultiGraphs, Information Diffusion, etc.
NLP Methods on display included traditional approaches such as TF-IDF, n-grams, entity identification and other metadata extraction as well as more advanced methods such as Bert, Word2Vec, GloVe, etc.
Methods were then applied to topics including Attorney Advocacy Networks, Statutory Outputs from Legislatures, various bodies of Regulations, Contracts, Patents, Shell Corporations, Common Law Systems, Legal Scholarship and Legal Rules ∩ Financial Systems.
If you have an eligible paper – it is not too late to submit – papers are due in January. After undergoing the Peer Review process — Look for the Final Papers to be published in Frontiers in Physics in 2021.
Day One of The Physics of Law ONLINE Conference
We are live at the Physics of Law Online Conference!
Over the next two days, we will have 20 Papers Presented from Scholars from Around the World …Click here to access the site so you can Sign Up for Day 2. If you would like to access the full agenda click here.