Inquiry and deliberation in judicial systems : The problem of jury size
(2016) p.35-56- Abstract
- We raise the question whether there is a rigorous argument favoring one jury system over another. We provide a Bayesian model of deliberating juries that allows for computer simulation for the purpose of studying the effect of jury size and required majority on the quality of jury decision making. We introduce the idea of jury value (J-value), a kind of epistemic value which takes into account the unique characteristics and asymmetries involved in jury voting. Our computer simulations indicate that requiring more than a > 50 % majority should be avoided. Moreover, while it is in principle always better to have a larger jury, given a > 50 % required majority, the value of having more than 12–15 jurors is likely to be negligible.... (More)
- We raise the question whether there is a rigorous argument favoring one jury system over another. We provide a Bayesian model of deliberating juries that allows for computer simulation for the purpose of studying the effect of jury size and required majority on the quality of jury decision making. We introduce the idea of jury value (J-value), a kind of epistemic value which takes into account the unique characteristics and asymmetries involved in jury voting. Our computer simulations indicate that requiring more than a > 50 % majority should be avoided. Moreover, while it is in principle always better to have a larger jury, given a > 50 % required majority, the value of having more than 12–15 jurors is likely to be negligible. Finally, we provide a formula for calculating the optimal jury size given the cost, economic or otherwise, of adding another juror. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4580033
- author
- Angere, Staffan LU ; Olsson, Erik J LU and Genot, Emmanuel LU
- organization
- publishing date
- 2016
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Perspectives on Interrogative Models of Inquiry : Developments in Inquiry and Questions - Developments in Inquiry and Questions
- editor
- Baskent, Can
- pages
- 35 - 56
- publisher
- Springer
- external identifiers
-
- scopus:85105989858
- ISBN
- 978-3-319-20761-2
- 978-3-319-20762-9
- DOI
- 10.1007/978-3-319-20762-9_3
- project
- Collective Competence in Deliberative Groups: On the Epistemological Foundation of Democracy
- language
- English
- LU publication?
- yes
- id
- 7c8e0a53-908f-4a08-b6d4-76488c039143 (old id 4580033)
- date added to LUP
- 2016-04-04 10:12:22
- date last changed
- 2024-03-30 07:45:39
@inbook{7c8e0a53-908f-4a08-b6d4-76488c039143,
abstract = {{We raise the question whether there is a rigorous argument favoring one jury system over another. We provide a Bayesian model of deliberating juries that allows for computer simulation for the purpose of studying the effect of jury size and required majority on the quality of jury decision making. We introduce the idea of jury value (J-value), a kind of epistemic value which takes into account the unique characteristics and asymmetries involved in jury voting. Our computer simulations indicate that requiring more than a > 50 % majority should be avoided. Moreover, while it is in principle always better to have a larger jury, given a > 50 % required majority, the value of having more than 12–15 jurors is likely to be negligible. Finally, we provide a formula for calculating the optimal jury size given the cost, economic or otherwise, of adding another juror.}},
author = {{Angere, Staffan and Olsson, Erik J and Genot, Emmanuel}},
booktitle = {{Perspectives on Interrogative Models of Inquiry : Developments in Inquiry and Questions}},
editor = {{Baskent, Can}},
isbn = {{978-3-319-20761-2}},
language = {{eng}},
pages = {{35--56}},
publisher = {{Springer}},
title = {{Inquiry and deliberation in judicial systems : The problem of jury size}},
url = {{https://lup.lub.lu.se/search/files/5487101/7759741.pdf}},
doi = {{10.1007/978-3-319-20762-9_3}},
year = {{2016}},
}