title: Understanding Domestic Abuse Perpetrators: using unsupervised machine learning to analyse a longitudinal dataset of domestic abuse incidents from Essex Police. A Home-Office funded project. 2022
abstract: This project set out to address the following question: \nAre there any common profiles of domestic abuse perpetrators in Essex, and do they present different risks and opportunities for targeted interventions?\nTo answer this question we conducted a mixed-methods study, analysing a large, longitudinal database of domestic abuse incidents and suspect data -relating to 16,491 suspects and 40,488 observations between 2016-2020- provided by Essex Police. Our findings, presented in this executive su
journal: CrimRxiv