Babuta, Alexander (2023) Behavioural Analytics in Policing Data-Driven Offender Management: Assessing the Evidence Base. Doctoral thesis, University of West London.

Preview

PDF Babuta - Final PhD Thesis (July 23) - [EThOS Copy].pdf - Published Version Download (976kB) | Preview

Abstract

This doctoral thesis explores the use of behavioural analytics and data-driven offender
management within UK policing. The findings are based on semi-structured interviews with
criminal justice practitioners who have been directly involved in the development of such
projects, and a process evaluation of a major data-driven offender management project
delivered by one of the UK’s largest police forces. The research explored the potential
opportunities offered by new data-driven risk assessment tools, and sought to examine the
barriers to successful implementation when the technology is deployed in an operational
policing context. The process evaluation highlighted specific practical challenges associated
with implementing a new data-driven system in an operational offender management
context. The implications of these findings for future policing practice are explored, focussing
on how such technology should be piloted and evaluated to assess its potential real-world
benefits and limitations. The findings and discussion will be of interest to criminal justice
practitioners and policymakers involved in developing or implementing new data-driven
offender risk assessment tools in the UK criminal justice system.

Item Type:	Thesis (Doctoral)
Identifier:	10.36828/xvqy0381
Subjects:	Law and criminal justice > Criminal justice Law and criminal justice > Criminal justice > Policing and criminal investigations
Depositing User:	Users 627 not found.
Date Deposited:	20 Sep 2023 07:51
Last Modified:	04 Nov 2024 11:35
URI:	https://repository.uwl.ac.uk/id/eprint/10381

Downloads

Actions (login required)

View Item