The aim of this project is to explore the views of UK police officers on the use of big data applications and algorithms in policing.
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One of the major causes of resistance to implementation of big data applications and algorithms is that their use may affect the discretion exercised by police officers.
Scholars are divided as to the nature of this effect – whether it enhances their discretion or curtails it. This research attempts to unearth this dichotomy by evaluating the significance the police officers attach to discretion and the use of data and algorithms in their routines and practices.
The findings will help the police policy makers and managers to devise appropriate policies for effective implementation of big data applications and algorithms.
The study is following a quantitative approach. Data will be collected through an online survey from police officers of different ranks working in police organisations and departments across the United Kingdom who have experience of using big data and algorithmic tools.
Structural equation modelling will be used to analyse the attitudes of police officers towards use of big data application and algorithms.
As a part of my research, I am conducting an online survey that takes approximately 8-10 minutes for completion and responses are completely anonymised.
We request the police officers of all ranks who have experience of using big data and algorithmic tools (like predictive policing, geospatial/temporal crime mapping software like MapInfo, ANPRs, facial recognition technology, automated decision systems for case assessment, granting firearms' licenses, road traffic management) to participate in the survey.
I am looking for participants to complete my research survey. The questionnaire will take approximately 8-10 minutes to complete.
Responses are completely anonymised, that is, your identity will not be disclosed at any point during and after the research. You may withdraw your participation at any time without giving any reason.
The results will be used for academic publications. If you would like to read about the findings of this study, please provide your email at the end of the survey (optional).
Complete the survey