Originalism, hypothesis testing and big data

John O McGinnis, Branden Stein

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    Abstract

    In this paper, we describe how data mining and hypothesis testing can advance the analysis of originalism in American constitutional law.

    Original languageEnglish (US)
    Title of host publication15th International Conference on Artificial Intelligence and Law - Proceedings
    PublisherAssociation for Computing Machinery
    Pages201-205
    Number of pages5
    ISBN (Electronic)9781450335225
    DOIs
    StatePublished - Jun 8 2015
    Event15th International Conference on Artificial Intelligence and Law, ICAIL 2015 - San Diego, United States
    Duration: Jun 8 2015Jun 12 2015

    Publication series

    NameProceedings of the International Conference on Artificial Intelligence and Law
    Volume08-12-June-2015

    Other

    Other15th International Conference on Artificial Intelligence and Law, ICAIL 2015
    CountryUnited States
    CitySan Diego
    Period6/8/156/12/15

    Keywords

    • Big Data
    • Hypothesis Testing
    • Originalism

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Law

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