File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Book Chapter: The Emergence of Computational Legal Studies: An Introduction

TitleThe Emergence of Computational Legal Studies: An Introduction
Authors
KeywordsComputational legal studies
Empirical legal studies
Data driven legal research
Issue Date2020
PublisherEdward Elgar Publishing.
Citation
The Emergence of Computational Legal Studies: An Introduction. In Whalen, R. (Ed.), Computational Legal Studies: The Promise and Challenge of Data-Driven Research, p. 1-8. Cheltenham, UK: Edward Elgar Publishing, 2020 How to Cite?
AbstractThis volume arrives at an important inflection point in the relationship between law and computation. Technological, scientific, and methodological developments are increasingly allowing computation to provide not just efficiencies in the traditional ways we practice or study the law, but new perspectives on the law and potential paradigmatic shifts in how we think about and understand it. These developments have already been major factors in the recent evolution of many other academic fields, as evidenced for example by the rise of computational social science, computational biology, the digital humanities, and many more emerged and still-emerging subdisciplines. Although law has perhaps lagged somewhat behind its peer disciplines in adopting and adapting computational research methods, that has begun to change in recent years as more-and-more legal scholars have begun applying computational methods in the course of their research. This volume explores this emergence of computational legal studies by presenting a variety of research that is either representative of, or in conversation with, the field.
Persistent Identifierhttp://hdl.handle.net/10722/281750
ISBN
SSRN
Series/Report no.Elgar Studies in Legal Research Methods

 

DC FieldValueLanguage
dc.contributor.authorWhalen, R-
dc.date.accessioned2020-03-24T09:25:35Z-
dc.date.available2020-03-24T09:25:35Z-
dc.date.issued2020-
dc.identifier.citationThe Emergence of Computational Legal Studies: An Introduction. In Whalen, R. (Ed.), Computational Legal Studies: The Promise and Challenge of Data-Driven Research, p. 1-8. Cheltenham, UK: Edward Elgar Publishing, 2020-
dc.identifier.isbn9781788977449-
dc.identifier.urihttp://hdl.handle.net/10722/281750-
dc.description.abstractThis volume arrives at an important inflection point in the relationship between law and computation. Technological, scientific, and methodological developments are increasingly allowing computation to provide not just efficiencies in the traditional ways we practice or study the law, but new perspectives on the law and potential paradigmatic shifts in how we think about and understand it. These developments have already been major factors in the recent evolution of many other academic fields, as evidenced for example by the rise of computational social science, computational biology, the digital humanities, and many more emerged and still-emerging subdisciplines. Although law has perhaps lagged somewhat behind its peer disciplines in adopting and adapting computational research methods, that has begun to change in recent years as more-and-more legal scholars have begun applying computational methods in the course of their research. This volume explores this emergence of computational legal studies by presenting a variety of research that is either representative of, or in conversation with, the field.-
dc.languageeng-
dc.publisherEdward Elgar Publishing.-
dc.relation.ispartofComputational Legal Studies: The Promise and Challenge of Data-Driven Research-
dc.relation.ispartofseriesElgar Studies in Legal Research Methods-
dc.subjectComputational legal studies-
dc.subjectEmpirical legal studies-
dc.subjectData driven legal research-
dc.titleThe Emergence of Computational Legal Studies: An Introduction-
dc.typeBook_Chapter-
dc.identifier.emailWhalen, R: whalen@hku.hk-
dc.identifier.authorityWhalen, R=rp02307-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.4337/9781788977456.00005-
dc.identifier.spage1-
dc.identifier.epage8-
dc.publisher.placeCheltenham, UK-
dc.identifier.ssrn3535129-
dc.identifier.hkulrp2020/007-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats