Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
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 reduc…
Matthew Manning, Gabriel T. W. Wong, Timothy Graham, Thilina Ranbaduge, Peter Cristen, Kerry Taylor, Richard Wortley, Toni Makkai and Pierre Skorich