Risk prediction and decision making in policing – Humans, Algorithms and Data. (A study of processes at Bedfordshire, Hertfordshire and Cambridgeshire police)

Kazeem, Ganiat (2020). Risk prediction and decision making in policing – Humans, Algorithms and Data. (A study of processes at Bedfordshire, Hertfordshire and Cambridgeshire police). In: Proceedings of 18th European Conference on Computer-Supported Cooperative Work, 13-17 Jun 2020, Siegen, Germany, European Society for Socially Embedded Technologies (EUSSET).

DOI: https://doi.org/10.18420/ecscw2020_dc04

Abstract

My inductive interpretivist study focusses on understanding of the police process of information collection/acquisition, management and exploitation during risk assessments and decision making in the counties of Bedfordshire, Cambridgeshire and Hertfordshire located outside the metropolitan area. It is examining the role of humans in the production (through interactions with staff in police control rooms), generation (during day to day policing) and creation (through intelligence collected via community policing and detectives investigating focused criminal issues) of information through ethnography. It is focussed on gathering narratives and perspectives to enable an understanding of the information cycle in policing and nature (culture, context, practices, processes) of information collection, management, use and exploitation and determining how these shape the use and exploitation of data generated. It also considers the critical issues related to use of information for risk assessment and decision making in policing using advanced metrics or statistics, algorithms and other advanced technologies.

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