The University of Southampton
University of Southampton Institutional Repository

Data-Driven Algorithms in Criminal Justice: Prediction as self-fulfilling prophesy

Data-Driven Algorithms in Criminal Justice: Prediction as self-fulfilling prophesy
Data-Driven Algorithms in Criminal Justice: Prediction as self-fulfilling prophesy
Cambridge University Press
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac
Kohl, Uta
Eisler, Jacob
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac
Kohl, Uta
Eisler, Jacob

Ugwudike, Pamela (2021) Data-Driven Algorithms in Criminal Justice: Prediction as self-fulfilling prophesy. In, Kohl, Uta and Eisler, Jacob (eds.) Data-Driven Personalisation in Markets, Politics and Law. Cambridge. Cambridge University Press.

Record type: Book Section

This record has no associated files available for download.

More information

Accepted/In Press date: 1 June 2020
Published date: July 2021

Identifiers

Local EPrints ID: 448249
URI: http://eprints.soton.ac.uk/id/eprint/448249
PURE UUID: 995b0ec6-1e44-4a17-87e6-fa9643403c1d
ORCID for Pamela Ugwudike: ORCID iD orcid.org/0000-0002-1084-7796

Catalogue record

Date deposited: 16 Apr 2021 16:30
Last modified: 13 Jan 2024 02:53

Export record

Contributors

Author: Pamela Ugwudike ORCID iD
Editor: Uta Kohl
Editor: Jacob Eisler

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×