The Locator -- [(title = "Moneyball")]

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02414aam a2200361 i 4500
001 CD2F299E586511EA978CCE3397128E48
003 SILO
005 20200226010029
008 180117s2017    ne a     b    000 0 eng  
010    $a 2017298292
020    $a 9462367922
020    $a 9789462367920
035    $a (OCoLC)1024045988
040    $a DLC $b eng $e rda $c DLC $d UWO $d COO $d RCJ $d OCLCF $d OCLCO $d IaU-L $d SILO
042    $a pcc
050  4 $a K623-968
100 1  $a Dijck, G. van $q (Gijs), $e author.
245 10 $a MoneyLaw (and beyond) : $b inaugural lecture given on the occasion of accepting the position of Professor of Private Law at Maastricht University on Friday September 22, 2017 / $c by Gijs van Dijck.
264  1 $a The Hague, The Netherlands : $b Eleven International Publishing, $c [2017]
300    $a 68 pages : $b illustrations (some color) ; $c 22 cm
500    $a At head of title: Maastricht University, Faculty of Law.
504    $a Includes bibliographical references.
505 00 $t A research agenda -- $t From MoneyBall to MoneyLaw, and beyond -- $t Disrupting the legal field -- $t Thinking empirically -- $t The mismatch between what victims need and what tort law has to offer -- $t Limitations of monetary compensation -- $t Solving the mismatch -- $t A research agenda -- $g Final remarks.
520 8  $a MoneyLaw (and beyond)' examines two significant, current judicial topics: the benefits of Big Data analytics - in particular network analysis - to case law analysis, and the primary position of the monetary perspective in tort law. The book, accordingly, explores how network analysis can be utilised to assist legal researchers in identifying similar decision clusters and their respective precedents.0In addition, the author applies an empirical approach to discuss the role of the monetary perspective, especially in tort law. He evaluates various possible ways to overcome the limitations of monetary compensation and explores new ways to remedy the mismatch between what tort victims seek and what they can receive from the tort law system.
650  0 $a Torts.
650  0 $a Damages.
650  0 $a Big data.
650  7 $a Big data. $2 fast $0 (OCoLC)fst01892965
650  7 $a Damages. $2 fast $0 (OCoLC)fst00887264
650  7 $a Torts. $2 fast $0 (OCoLC)fst01152931
941    $a 1
952    $l OVUX522 $d 20210721015748.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=CD2F299E586511EA978CCE3397128E48

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