Global progressive policing

ANZSEBP Conference: NSW Police to explore algorithmic approaches to targeting high-harm DV offenders

High-harm domestic abuse offenders are likely to have a criminal record and several police interactions before they are first reported for partner violence – and a small number go on to cause disproportionate harm – so could algorithms and machine learning help to target them early? This was one of the key questions considered by New South Wales Police Superintendent Andrew Hurst at last week’s rescheduled Australia and New Zealand Society of Evidence-Based Policing conference.

To read this article you need to have an individual paid subscription or subscriber access via your organisation’s corporate subscription.

Please sign in to your account or subscribe to a plan below to read this article.

If your organisation has a corporate subscription please register a FREE account with your organisation email address for full subscriber access.


Having problems creating an account or can't sign in? Please e-mail [email protected]

Request a password reset using the form below


Having problems creating an account or can't sign in? Please e-mail [email protected]



Having problems creating an account or can't sign in? Please e-mail [email protected]

Premium Subscription (Annual)

  • All Articles
  • Reports
  • Media Monitor
  • Hub
  • All PolicingTV Videos
  • Newsletters

£600 per year

Articles Only Subscription (Annual)

  • All Articles
  • Reports
  • Media Monitor
  • Hub
  • All PolicingTV Videos
  • Newsletters

£200 per 12 months

Top