Prediction
- ,
- Helen Oppen Ingebrigtsen Gundhus,
- Emil Kilis
- ,
- University of Oslo
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 371-380 (10 pages)Publication milestones
- Published - 03/03/2025
Publication status
Published - 03/03/2025
Volume
6Publisher
De Gruyter, GermanyBook series
- Book series name: De Gruyter Contemporary Social Sciences Handbooks
ISSN: 2747-9269
ISBN (Print)
9783111061931ISBN (Electronic)
9783111062037Chapter Number
42Publication IDs
- Scopus: 105042566118
Host publication title
De Gruyter Handbook of Digital CriminologyHost 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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Citations
2
Funding Details
FundersFunding numbers
CUPP
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