Morven Brown
- Thesis Title: The influence of “bad apples” on police peer networks: A quasi-experimental study of
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About
Morven has previously studied Mathematics and Statistics at Heriot-Watt University, Edinburgh before joining the Police Service of Scotland in 2009.
In 2022 she started a part-time MSt degree in Applied Criminology and Policing at the Institute of Criminology, University of Cambridge which she completed in 2024. Her thesis used the random forest algorithm to carry out a prospective forecast of officers at increased risk of serious misconduct.
In 2024 she commenced her PhD at the Institute and will carry out further research into misconduct and complaint networks using network analytics and econometric statistical methods.
In her spare time when not working she enjoys travelling particularly to the Middle East as she speaks, reads, and writes Arabic. Her real passion is learning and using this knowledge to improve policing. She has a real interest in the use of data science and Artificial Intelligence in policing as well as Evidenced Based Policing.
Morven continues to serve with the Police Service of Scotland.
Morven's PhD supervisor is Dr Charles Lanfear, and her co-supervisor is Dr Timothy Cubitt, University of Adelaide, Australia.
Research
Morven's PhD research is quantitative, and will be done combining the use of Social Network Analysis (SNA), the Girvan-Newman algorithm, and the difference-in-differences (DID) method. Ten years of complaint and misconduct data from the Police Service of Scotland will be used in this research.
Please get in touch should you wish to know more about the research she and her supervisor are conducting.