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Biased trialsinsights from behaviora...
~
Dominioni, Goran.
Biased trialsinsights from behavioral law and economics /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Biased trialsby Goran Dominioni.
其他題名:
insights from behavioral law and economics /
作者:
Dominioni, Goran.
出版者:
Wiesbaden :Springer Fachmedien Wiesbaden :2020.
面頁冊數:
xiii, 171 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Denial of justice.
電子資源:
https://doi.org/10.1007/978-3-658-30080-7
ISBN:
9783658300807$q(electronic bk.)
Biased trialsinsights from behavioral law and economics /
Dominioni, Goran.
Biased trials
insights from behavioral law and economics /[electronic resource] :by Goran Dominioni. - Wiesbaden :Springer Fachmedien Wiesbaden :2020. - xiii, 171 p. :ill., digital ;24 cm. - Okonomische analyse des rechts - Economic analysis of law,2524-7360. - Okonomische analyse des rechts..
The Behavioral Economics of Accuracy and Discrimination at Trial -- Truth Standards in Behavioral Law and Economics -- The Fundamental Attribution Error and Accuracy in Trial Settings: Judges vs Jurors -- Implicit Racial Biases in Tort Trials -- Gender and Race-Based Statistical Tables in European Tort Trials -- Accuracy and Discrimination at Trial: Putting the Pieces Together.
Goran Dominioni argues that research in behavioral economics, psychology, and neurosciences can offer novel insights on whether court decisions are accurate, non-discriminatory, and maximize social welfare. The author also shows that insights from these areas of research can help to improve trial outcomes if carefully applied to craft trial rules and practices. He covers central themes in behavioral law and economics, such as implicit racial biases, the fundamental attribution error, and gender-related biases. Contents The Behavioral Economics of Accuracy and Discrimination at Trial Truth Standards in Behavioral Law and Economics The Fundamental Attribution Error and Accuracy in Trial Settings: Judges vs Jurors Implicit Racial Biases in Tort Trials Gender and Race-Based Statistical Tables in European Tort Trials Accuracy and Discrimination at Trial: Putting the Pieces Together Target Groups Researchers and students in the fields of behavioral law and economics, evidence law, tort law, judicial decision making Policy-makers, judges, prosecutors, and lawyers The Author Goran Dominioni holds a PhD from Bologna University, Erasmus University Rotterdam, and Hamburg University. He has conducted research at Cornell Law School, Copenhagen University, Hamburg University, and UC Louvain.
ISBN: 9783658300807$q(electronic bk.)
Standard No.: 10.1007/978-3-658-30080-7doiSubjects--Topical Terms:
528602
Denial of justice.
LC Class. No.: K2100 / .D665 2020
Dewey Class. No.: 345.0234
Biased trialsinsights from behavioral law and economics /
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Goran Dominioni argues that research in behavioral economics, psychology, and neurosciences can offer novel insights on whether court decisions are accurate, non-discriminatory, and maximize social welfare. The author also shows that insights from these areas of research can help to improve trial outcomes if carefully applied to craft trial rules and practices. He covers central themes in behavioral law and economics, such as implicit racial biases, the fundamental attribution error, and gender-related biases. Contents The Behavioral Economics of Accuracy and Discrimination at Trial Truth Standards in Behavioral Law and Economics The Fundamental Attribution Error and Accuracy in Trial Settings: Judges vs Jurors Implicit Racial Biases in Tort Trials Gender and Race-Based Statistical Tables in European Tort Trials Accuracy and Discrimination at Trial: Putting the Pieces Together Target Groups Researchers and students in the fields of behavioral law and economics, evidence law, tort law, judicial decision making Policy-makers, judges, prosecutors, and lawyers The Author Goran Dominioni holds a PhD from Bologna University, Erasmus University Rotterdam, and Hamburg University. He has conducted research at Cornell Law School, Copenhagen University, Hamburg University, and UC Louvain.
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