Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions

BACKGROUND: The Manning Cost–Benefit Tool (MCBT) was developed to assist criminal justice policymakers, policing organisations and crime prevention practitioners to assess the benefits of different interventions for reducing crime and to select those strategies that represent the greatest economic r...

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Detalles Bibliográficos
Autores principales: Manning, Matthew, Wong, Gabriel T. W., Graham, Timothy, Ranbaduge, Thilina, Christen, Peter, Taylor, Kerry, Wortley, Richard, Makkai, Toni, Skorich, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Theoretical Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404784/
https://www.ncbi.nlm.nih.gov/pubmed/30931232
http://dx.doi.org/10.1186/s40163-018-0086-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404784/
https://www.ncbi.nlm.nih.gov/pubmed/30931232
http://dx.doi.org/10.1186/s40163-018-0086-4

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