How to Be A Modern Scientist (via Jeffrey Leek)

April 8, 2016 clsadmin

Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States and Germany

January 26, 2021January 26, 2021

Chief Data Officer (CDO) Magazine Announces Its 2021 List of Leading Academic Data Leaders

January 8, 2021January 8, 2021

1Million+ Privacy Policy Snapshots and “Diffs”

January 4, 2021January 8, 2021

Computational LegalFollow

Retweet on Twitter Computational Legal Retweeted

Max Planck Institute Luxembourg for Procedural Law @MPI_Luxembourg·

26 Jan

If you’re interested #Blockchain #cryptocurrency and #procedurallaw, then be sure to read the Special Issue of the @Stanford_JBLP edited by @EFromageau, Lily Martinet and @alainzm! You can read the papers here: https://stanford-jblp.pubpub.org
@MPI_Luxembourg @maxplancklaw

Reply on Twitter 1354050770698719233 Retweet on Twitter 135405077069871923318 Like on Twitter 135405077069871923322 Twitter 1354050770698719233

Computational Legal @computational·

26 Jan

Our NEW PAPER paper featuring #LegalData (Law / Regs) roughly 120 MILLION Words (Tokens) in Size by 2019. “Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States & Germany.” #LegalTech https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3773130

Reply on Twitter 1354077537710854145 Retweet on Twitter 13540775377108541457 Like on Twitter 135407753771085414514 Twitter 1354077537710854145

Retweet on Twitter Computational Legal Retweeted

arXiv CS-CL @arxiv_cscl·

23 Jan

Can a Fruit Fly Learn Word Embeddings? http://arxiv.org/abs/2101.06887

Reply on Twitter 1353080445571891214 Retweet on Twitter 13530804455718912141 Like on Twitter 1353080445571891214 Twitter 1353080445571891214

Retweet on Twitter Computational Legal Retweeted

Frontiers in Physics @FrontPhysics·

22 Jan

Community Detection of Dynamic Complex Networks in Stock Markets Using Hybrid Methods (RMT‐CN‐LPAm+ and RMT‐BDM‐SA) https://www.frontiersin.org/articles/10.3389/fphy.2020.574770?utm_source=dlvr.it&utm_medium=twitter #Physics

Reply on Twitter 1352696544131092481 Retweet on Twitter 13526965441310924811 Like on Twitter 1352696544131092481 Twitter 1352696544131092481

Daniel Martin Katz, Ron Dolin & Michael Bommarito, Legal Informatics, Cambridge University Press (Forthcoming February 2021) (Edited Volume) < PreOrder >

Pierpaolo Vivo, Daniel Martin Katz & J.B. Ruhl (Editors), The Physics of the Law: Legal Systems Through the Prism of Complexity Science, Special Collection for Frontiers in Physics (2021 Forthcoming) < Frontiers in Physics >

Daniel Martin Katz, Legal Innovation (Book Forward) in Mapping Legal Innovation: Trends and Perspectives (Springer) (Antoine Masson & Gavin Robinson, eds.) (2021 Forthcoming) < Springer >

Michael Bommarito, Daniel Martin Katz & Eric Detterman, LexNLP: Natural Language Processing and Information Extraction For Legal and Regulatory Texts in Research Handbook on Big Data Law (Edward Elgar Press) (Roland Vogl, ed.) (2021 Forthcoming) < SSRN > < arXiv > < Github >

Daniel Martin Katz, Corinna Coupette, Janis Beckedorf & Dirk Hartung, Complex Societies and the Growth of the Law, 10 Scientific Reports 18737 (2020) < Nature Research >

Edward D. Lee, Daniel Martin Katz, Michael J. Bommarito II, Paul Ginsparg, Sensitivity of Collective Outcomes Identifies Pivotal Components, 17 Journal of the Royal Society Interface 167 (2020) < Journal of the Royal Society Interface >

Michael Bommarito, Daniel Martin Katz & Eric Detterman, OpenEDGAR: Open Source Software for SEC EDGAR Analysis, MIT Computational Law Report (2020) < MIT Law > < Github >

J.B. Ruhl & Daniel Martin Katz, Mapping the Law with Artificial Intelligence in Law of Artificial Intelligence and Smart Machines (ABA Press) (2019) < ABA Press >

J.B. Ruhl & Daniel Martin Katz, Harnessing the Complexity of Legal Systems for Governing Global Challenges in Global Challenges, Governance, and Complexity (Edward Elgar) (2019) < Edward Elgar >

J.B. Ruhl & Daniel Martin Katz, Mapping Law’s Complexity with ‘Legal Maps’ in Complexity Theory and Law: Mapping an Emergent Jurisprudence (Taylor & Francis) (2018) < Taylor & Francis >

Michael Bommarito & Daniel Martin Katz, Measuring and Modeling the U.S. Regulatory Ecosystem, 168 Journal of Statistical Physics 1125 (2017) < J Stat Phys >

Daniel Martin Katz, Michael Bommarito & Josh Blackman, A General Approach for Predicting the Behavior of the Supreme Court of the United States, PLoS ONE 12(4): e0174698 (2017) < PLoS One >

J.B. Ruhl, Daniel Martin Katz & Michael Bommarito, Harnessing Legal Complexity, 355 Science 1377 (2017) < Science >

J.B. Ruhl & Daniel Martin Katz, Measuring, Monitoring, and Managing Legal Complexity, 101 Iowa Law Review 191 (2015) < SSRN >

Paul Lippe, Daniel Martin Katz & Dan Jackson, Legal by Design: A New Paradigm for Handling Complexity in Banking Regulation and Elsewhere in Law, 93 Oregon Law Review 831 (2015) < SSRN >

Paul Lippe, Jan Putnis, Daniel Martin Katz & Ian Hurst, How Smart Resolution Planning Can Help Banks Improve Profitability And Reduce Risk, Banking Perspective Quarterly (2015) < SSRN >

Daniel Martin Katz, The MIT School of Law? A Perspective on Legal Education in the 21st Century, Illinois Law Review 1431 (2014) < SSRN > < Slides >

Daniel Martin Katz & Michael Bommarito, Measuring the Complexity of the Law: The United States Code, 22 Journal of Artificial Intelligence & Law 1 (2014) < Springer > < SSRN >

Daniel Martin Katz, Quantitative Legal Prediction – or – How I Learned to Stop Worrying and Start Preparing for the Data Driven Future of the Legal Services Industry, 62 Emory Law Journal 909 (2013) < SSRN >

Daniel Martin Katz, Joshua Gubler, Jon Zelner, Michael Bommarito, Eric Provins & Eitan Ingall, Reproduction of Hierarchy? A Social Network Analysis of the American Law Professoriate, 61 Journal of Legal Education 76 (2011) < SSRN >

Michael Bommarito, Daniel Martin Katz & Jillian Isaacs-See, An Empirical Survey of the Written Decisions of the United States Tax Court (1990-2008), 30 Virginia Tax Review 523 (2011) < SSRN >

Daniel Martin Katz, Michael Bommarito, Juile Seaman, Adam Candeub, Eugene Agichtein, Legal N-Grams? A Simple Approach to Track the Evolution of Legal Language in Proceedings of JURIX: The 24th International Conference on Legal Knowledge and Information Systems (2011) < SSRN >

Daniel Martin Katz & Derek Stafford, Hustle and Flow: A Social Network Analysis of the American Federal Judiciary, 71 Ohio State Law Journal 457 (2010) < SSRN >

Michael Bommarito & Daniel Martin Katz, A Mathematical Approach to the Study of the United States Code, 389 Physica A 4195 (2010) < SSRN > < arXiv >

Michael Bommarito, Daniel Martin Katz & Jonathan Zelner, On the Stability of Community Detection Algorithms on Longitudinal Citation Data in Proceedings of the 6th Conference on Applications of Social Network Analysis (2010) < SSRN > < arXiv >

Michael Bommarito, Daniel Martin Katz, Jonathan Zelner & James Fowler, Distance Measures for Dynamic Citation Networks 389 Physica A 4201 (2010) < SSRN > < arXiv >

Michael Bommarito, Daniel Martin Katz & Jonathan Zelner, Law as a Seamless Web? Comparing Various Network Representations of the United States Supreme Court Corpus (1791-2005) in Proceedings of the 12th International Conference on Artificial Intelligence and Law (2009) < SSRN >

Marvin Krislov & Daniel Martin Katz, Taking State Constitutions Seriously, 17 Cornell Journal of Law & Public Policy 295 (2008) < SSRN >

Daniel Martin Katz, Derek Stafford & Eric Provins, Social Architecture, Judicial Peer Effects and the ‘Evolution’ of the Law: Toward a Positive Theory of Judicial Social Structure, 23 Georgia State Law Review 975 (2008) < SSRN >

Daniel Martin Katz, Institutional Rules, Strategic Behavior and the Legacy of Chief Justice William Rehnquist: Setting the Record Straight on Dickerson v. United States, 22 Journal of Law & Politics 303 (2006) < SSRN >

Daniel Martin Katz, Michael Bommarito, Tyler Sollinger & James Ming Chen, Law on the Market? Abnormal Stock Returns and Supreme Court Decision-Making < SSRN > < arXiv > < Slides >

Daniel Martin Katz, Michael Bommarito & Josh Blackman, Crowdsourcing Accurately and Robustly Predicts Supreme Court Decisions < SSRN > < arXiv > < Slides >

Daniel Martin Katz & Michael Bommarito, Regulatory Dynamics Revealed by the Securities Filings of Registered Companies < Slides >

Janis Beckedorf, Michael Bommarito, Corinna Coupette, Dirk Hartung & Daniel Martin Katz, Measuring the Scale & Complexity of the Regulatory State (Project In Progress)

You may like

Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States and Germany

Can A Fruit Fly Learn Word Embeddings ?

Exploring a Network of Syndicated Loans

Scraped Parler Data is a Metadata Gold Mine (via TC)

Chief Data Officer (CDO) Magazine Announces Its 2021 List of Leading Academic Data Leaders

1Million+ Privacy Policy Snapshots and “Diffs”