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Prediction

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 371-380 (10 pages)

Publication milestones

  • Published - 03/03/2025

Publication status

Published - 03/03/2025

Volume

6

Publisher

De Gruyter, Germany

Book series

  • Book series name: De Gruyter Contemporary Social Sciences Handbooks
    ISSN: 2747-9269
9783111061931

ISBN (Electronic)

9783111062037

Chapter Number

42

Publication IDs

  • Scopus: 105042566118

Host publication title

De Gruyter Handbook of Digital Criminology

Host publication editors

  • Mareile Kaufmann
  • Heidi Mork Lomell

Abstract

Prediction has a long history in the social sciences, and advances in comput-ing and statistics have transformed our ability to predict in a wide range of domains.However, concerns have been raised about an indiscriminate application of a predic-tive logic, and crime is an area where this is quite pronounced. Indeed, while the po-lice, correctional service, and criminal courts have become increasingly reliant on dig-ital systems of prediction, critics have drawn our attention to numerous issues andcomplexities attendant to this process. This chapter looks at prediction in the crimino-logical realm and provides an overview of key arguments concerning the way data aregenerated, organized, and used as input for predictive tools and technologies, and howthe results are interpreted in the context of criminal justice. By doing so, it aims toshow that the discussions surrounding prediction highlight how digital tools are trans-forming the nature of knowledge and expertise within the criminal justice system

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Funding Details

FundersFunding numbers
CUPP
-