000 01763naaaa2200325uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/63285
005 20220220110114.0
020 _a9781788977456.00008
024 7 _a10.4337/9781788977456.00008
_cdoi
041 0 _aEnglish
042 _adc
100 1 _aDaniel Behn
_4auth
700 1 _aRunar Lie
_4auth
700 1 _aMalcolm Langford
_4auth
245 1 0 _aComputational stylometry: predicting the authorship of investment arbitration awards
260 _bEdward Elgar Publishing
_c2020
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aFeaturing contributions from a diverse set of experts, this thought-provoking book offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection, and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by-nc-nd/4.0/
_2cc
_4https://creativecommons.org/licenses/by-nc-nd/4.0/
546 _aEnglish
653 _alegal research
653 _aempirical legal research
653 _alaw and economics
653 _acomputational law book
653 _acomputational legal studies
653 _acomputational social science
773 1 0 _0OAPEN Library ID: 51234
_7nnaa
856 4 0 _awww.oapen.org
_uhttps://www.elgaronline.com/view/edcoll/9781788977449/9781788977449.00008.xml
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/63285
_70
_zDOAB: description of the publication
999 _c82836
_d82836