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

Crime ScienceAn Interdisciplinary Journal20187:20

https://doi.org/10.1186/s40163-018-0091-7

  • Published:

The original article was published in Crime Science 2018 7:12

Correction to: Crime Sci (2018) 7:12 https://doi.org/10.1186/s40163-018-0086-4

The original version of the article (Manning et al. 2018) 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.

The author name was spelt incorrectly as Cristen instead of Christen.

The original article has been corrected.

Notes

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Open AccessThis 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.

Authors’ Affiliations

(1)
ANU Centre for Social Research and Methods, Australian National University, Canberra, Australia
(2)
Research School of Computer Science, Australian National University, Canberra, Australia
(3)
Jill Dando Institute of Security and Crime Science, University College London, London, UK
(4)
Australian Public Service, Canberra, Australia

Reference

  1. Manning, M., Wong, G. T. W., Graham, T., Ranbaduge, T., Christen, P., Taylor, K. (2018). Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions. Crime Sci, 7, 12. https://doi.org/10.1186/s40163-018-0086-4.View ArticleGoogle Scholar

Copyright

© The Author(s) 2018

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