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Back to Future in Legal Artificial Intelligence — Expert Systems, Data Science and the Need for Peer Review Technical Scholarship

September 10, 2020September 18, 2020

Computational LegalFollow

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A great pleasure to speak with my dear friend Steve Levitt, always. https://twitter.com/Freakonomics/status/1308018160348598273

Freakonomics@Freakonomics

The dean of @YaleSOM grew up in a village in Guyana. During his unlikely journey, he has researched video-gaming habits, communicable disease, and why so many African-Americans haven’t had the kind of success he’s had. Steve Levitt talks w/@KerwinKCharles: https://freak.ws/35OFQ5N

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Kevin J.S. Zollman @KevinZollman·

15 Sep

It's not uncommon to hear people say that computer simulations "just aren't philosophy."

No more!

Conor Mayo-Wilson and I have a new paper where we argue that computer simulation should be seen as a *core* philosophical method.

http://philsci-archive.pitt.edu/18100/

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Kirk Borne@KirkDBorne·

14 Sep

One of my all-time favorites >> The Most Complete List of the Best Cheat Sheets for #DataScientists — great learning resources for #BigData #DataScience #AI #NeuralNetworks #MachineLearning #DeepLearning #DataViz #Python #Rstats #Coding etc.
—————
Go here: http://dy.si/m9W85j2

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Caiming Xiong @CaimingXiong·

16 Sep

Our NLP team got 16 papers (11 long, 2 short, and 3 finds) at #emnlp2020, which cover dialogue, summarization, question answering, multilingual, few-shot, NLI, semantic parsing, data augmentation, etc. Congrats to team members and coauthors. More info about papers coming soon!

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Daniel Martin Katz, Corinna Coupette, Janis Beckedorf & Dirk Hartung, Complex Societies and the Growth of the Law < SSRN > < arXiv >

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 >

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

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 >

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 >

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 Forthcoming) < SSRN > < arXiv > < Github >

Daniel Martin Katz, Legal Innovation (Book Forward) in Mapping Legal Innovation: Trends and Perspectives (Springer) (Antoine Masson & Gavin Robinson, eds.) (2020 Forthcoming) < Springer >

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 >

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Back to Future in Legal Artificial Intelligence — Expert Systems, Data Science and the Need for Peer Review Technical Scholarship