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.