Tag Archives: Statistical methods in legal informatics

Chen: Weighted-Average Methodologies for Evaluating Bar Examination Passage Rates

James Ming Chen of Michigan State University has posted Weighted-Average Methodologies for Evaluating Bar Examination Passage Rates, at SSRN. Here is part of the abstract: […] The American Bar Association and U.S. News and World Report’s law school rankings rely … Continue reading

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Malik et al.: Predictive Visual Analytics for Community Policing and Law Enforcement

Abish Malik, Ross Maciejewski, Sherry Towers, Sean McCullough, and David Ebert are scheduled to present a paper entitled Proactive Spatiotemporal Resource Allocation and Predictive Visual Analytics for Community Policing and Law Enforcement, at IEEE VIS 2014, being held 9-14 November … Continue reading

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Sim et al.: The Utility of Text: The Case of Amicus Briefs and the Supreme Court

Yanchuan Sim, Bryan Routledge, and Noah A. Smith presented a paper entitled The Utility of Text: The Case of Amicus Briefs and the Supreme Court, at New Directions in Text as Data 2014, held 10-11 October 2014 at Northwestern University … Continue reading

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Surden to speak on ‘Machine Learning Within Law’ at Stanford, October 9, 2014

Harry Surden of the University of Colorado is scheduled to give a presentation entitled Machine Learning Within Law, October 9, 2014 at Stanford Law School. Video of the presentation is available at: https://www.youtube.com/watch?v=sOLXOsiX0Qk The event is sponsored by CodeX: Stanford … Continue reading

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Legal informatics papers at ICFIS 2014

A number of papers on legal informatics, legal data analysis, or legal information were presented at ICFIS 2014: International Conference on Forensic Inference and Statistics, held 19-22 August 2014 in Leiden. The program is available at: https://dl.dropboxusercontent.com/u/6795661/ICFIS2014/program.html HT Bart Verheij

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Vlek et al.: Building Bayesian networks for legal evidence with narratives: A case study evaluation

Charlotte S. Vlek, Henry Prakken, Silja Renooij, and Bart Verheij, have published Building Bayesian networks for legal evidence with narratives: a case study evaluation, forthcoming in Artificial Intelligence and Law. Here is the abstract: In a criminal trial, evidence is … Continue reading

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Dolin: Inconsistency Robustness and the Law: A Random Walk

Ron Dolin of Stanford Law School has posted slides of his presentation entitled Inconsistency Robustness and the Law: A Random Walk, given at the conference, Inconsistency Robustness 2014, held 29-31 July 2014 at Stanford University. The presentation describes several types … Continue reading

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