Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
File version
Version of Record (VoR)
Author(s)
Wong, GTW
Graham, T
Ranbaduge, T
Christen, P
Taylor, K
Wortley, R
Makkai, T
Skorich, P
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Abstract
The original version of the article contained an error in the funding section and name of an author. The correction funding note should be: This project was funded by the Economic & Social Research Council grant (ESRC Reference: ES/L007223/1) titled ‘University Consortium for Evidence-Based Crime Reduction’, the Australian National University’s Cross College Grant and the Jill Dando Institute of Security and Crime Science.
Journal Title
Crime Science
Conference Title
Book Title
Edition
Volume
7
Issue
1
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Item Access Status
Note
Access the data
Related item(s)
Subject
Persistent link to this record
Citation
Manning, M; Wong, GTW; Graham, T; Ranbaduge, T; Christen, P; Taylor, K; Wortley, R; Makkai, T; Skorich, P, Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions (Crime Science, (2018), 7, 1, (12), 10.1186/s40163-018-0086-4), Crime Science, 2018, 7 (1)