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
Country/TerritoryUnited 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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