Toby Davies

I am a quantitative criminologist, with interest in spatial analysis, networks and computational methods. My research and teaching is concerned with identifying patterns and regularities in the occurrence of crime, with a view to informing effective crime prevention measures.

As an undergraduate, I studied Mathematics at the University of Oxford, graduating in 2008. I then began a PhD at University College London, as part of the SECReT Doctoral Training Centre and co-supervised between Mathematics and Crime Science. After this, I spent 3 years as a postdoctoral research associate on the EPSRC-funded Crime, Policing and Citizenship project, also at UCL. In 2016, I joined the Department of Security & Crime Science at UCL as a Lecturer, and became Associate Professor in 2021. In 2023, I joined the School of Law in my current role of Associate Professor in Criminal Justice Data Analytics.

My research is interdisciplinary in nature, and this is reflected in the range of outlets in which I have published. Within criminology, I have published in journals such as Criminology and Journal of Quantitative Criminology, and also contributed to a number of edited books. More widely, my work has also appeared in physics (e.g. Chaos, Physica A), network science (e.g. Applied Network Science, Social Networks) and generalist (e.g. Scientific Reports, PLoS One) journals. I have also guest-edited a special issue of Applied Network Science, and organised sessions at international conferences in mathematics, criminology and complex systems.

My work has an applied focus, and its ultimate aim is to develop insights and tools which can contribute to real-world crime prevention. This has led to me collaborating extensively with external partners, including both police services and other agencies. Within policing, I have been involved in projects with West Yorkshire Police, Thames Valley Police and West Midlands Police, all of which have involved the provision of tools that were subsequently deployed operationally. I have also provided analysis and insight to other agencies, including the London Mayor’s Office for Policing & Crime and the UK Home Office Analysis & Insight Group.

I am strongly committed to Open Science, and aim to practice and promote these principles throughout my work. While at UCL, I co-founded JDI Open, which is an interest group focussed on the promotion of open science within crime science. All materials related to my research are made freely available to the greatest extent possible.