Skip to main content
Download PDF

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

Crime Science volume 7, Article number: 20 (2018) Cite this article

The Original Article was published on 12 October 2018

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.

Reference

Download references

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations

  1. ANU Centre for Social Research and Methods, Australian National University, Canberra, Australia

    Matthew Manning, Gabriel T. W. Wong & Toni Makkai

  2. Research School of Computer Science, Australian National University, Canberra, Australia

    Timothy Graham, Thilina Ranbaduge, Peter Christen & Kerry Taylor

  3. Jill Dando Institute of Security and Crime Science, University College London, London, UK

    Richard Wortley

  4. Australian Public Service, Canberra, Australia

    Pierre Skorich

Authors
  1. Matthew Manning
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gabriel T. W. Wong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Timothy Graham
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Thilina Ranbaduge
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Peter Christen
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Kerry Taylor
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Richard Wortley
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Toni Makkai
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Pierre Skorich
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Matthew Manning.

Rights and permissions

Open Access 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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Manning, M., Wong, G.T.W., Graham, T. et al. Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions. Crime Sci 7, 20 (2018). https://doi.org/10.1186/s40163-018-0091-7

Download citation

  • Published:

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

Crime Science

ISSN: 2193-7680

Contact us