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Forecasting and Criminal Justice Policy and Practice
We address the organization of criminal justice forecasting and implications for its use in criminal justice policymaking. We argue that the use of forecasting is relatively widespread in criminal justice agency settings, but it is used primarily to inform decision-making and practice rather than to...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758473/ https://www.ncbi.nlm.nih.gov/pubmed/36571089 http://dx.doi.org/10.1007/s12103-022-09715-3 |
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author | Sabol, William J. Baumann, Miranda L. |
author_facet | Sabol, William J. Baumann, Miranda L. |
author_sort | Sabol, William J. |
collection | PubMed |
description | We address the organization of criminal justice forecasting and implications for its use in criminal justice policymaking. We argue that the use of forecasting is relatively widespread in criminal justice agency settings, but it is used primarily to inform decision-making and practice rather than to formulate and test new policy proposals. Using predictive policing and prison population forecasting as our main examples of the range of forecasting methods adopted in criminal justice practice, we describe their uses, how their use is organized, and the implications of the organizational arrangements for the transparent, reviewable, and consensual use of forecasting. We point out that both prison population forecasting and predictive policing have long histories that have led to advances in methodology. Prison population forecasting has generally become embedded in budget decision-making processes that contribute to greater transparency in method and applications. Predictive policing has been less transparent in method and use, partly because the methods are more complicated and rely on larger amounts of data, but it generally has not be used in ways to foster community engagement and build public support. Concerns about the legitimacy of its use persist. |
format | Online Article Text |
id | pubmed-9758473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-97584732022-12-19 Forecasting and Criminal Justice Policy and Practice Sabol, William J. Baumann, Miranda L. Am J Crim Justice Article We address the organization of criminal justice forecasting and implications for its use in criminal justice policymaking. We argue that the use of forecasting is relatively widespread in criminal justice agency settings, but it is used primarily to inform decision-making and practice rather than to formulate and test new policy proposals. Using predictive policing and prison population forecasting as our main examples of the range of forecasting methods adopted in criminal justice practice, we describe their uses, how their use is organized, and the implications of the organizational arrangements for the transparent, reviewable, and consensual use of forecasting. We point out that both prison population forecasting and predictive policing have long histories that have led to advances in methodology. Prison population forecasting has generally become embedded in budget decision-making processes that contribute to greater transparency in method and applications. Predictive policing has been less transparent in method and use, partly because the methods are more complicated and rely on larger amounts of data, but it generally has not be used in ways to foster community engagement and build public support. Concerns about the legitimacy of its use persist. Springer US 2022-12-17 2022 /pmc/articles/PMC9758473/ /pubmed/36571089 http://dx.doi.org/10.1007/s12103-022-09715-3 Text en © Southern Criminal Justice Association 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Sabol, William J. Baumann, Miranda L. Forecasting and Criminal Justice Policy and Practice |
title | Forecasting and Criminal Justice Policy and Practice |
title_full | Forecasting and Criminal Justice Policy and Practice |
title_fullStr | Forecasting and Criminal Justice Policy and Practice |
title_full_unstemmed | Forecasting and Criminal Justice Policy and Practice |
title_short | Forecasting and Criminal Justice Policy and Practice |
title_sort | forecasting and criminal justice policy and practice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758473/ https://www.ncbi.nlm.nih.gov/pubmed/36571089 http://dx.doi.org/10.1007/s12103-022-09715-3 |
work_keys_str_mv | AT sabolwilliamj forecastingandcriminaljusticepolicyandpractice AT baumannmirandal forecastingandcriminaljusticepolicyandpractice |