Funded projects


PrivIoT: Understanding and Mitigating Privacy Risks of IoT Homes with Demand-Side Management

July 2021 – December 2022
2nd Strategic Research Fund, PETRAS National Centre of Excellence for IoT Systems Cybersecurity
Co-Investigator, with J. Nicholson (PI), S. Kuenzel, S. Zakhary, L. Coventry

The PrivIoT project explores digital harms in the interaction between home IoT devices, smart meters, and Demand-Side Mangement (DSM) technologies, and develop conceptual tools to improve users’ situational awareness and agency.

Website / Blog / First paper


CyberUp: Analysing the Growth in Cybercrime during COVID-19 and Post-Pandemic Trends’

June 2020 – December 2021
Research Collaboration Fund for Research Staff, University of Manchester
Principal Investigator, with S. Kemp

The COVID-19 crisis has seen unprecedented changes in crime rates. While opportunities for a physical convergence between offenders and victims decreased during early lockdown, the massive move towards home working, home studying and online shopping contributed to a displacement of crime opportunities from offline to online environments. This project will explore if, and if so when, rates of cybercrime bounce back to pre-COVID trends in the UK.

Website / First paper


Re-Counting Crime: New Methods to Improve the Accuracy of Estimates of Crime

October 2020 – September 2022
Secondary Data Analysis Initiative, ESRC
Co-Investigator, with I. Brunton-Smith (PI), J. Pina-Sánchez, A. Cernat

‘Re-counting Crime’ is a research project funded by the ESRC Secondary Data Analysis Initiative. Our aim is to explore new statistical methods to help improving the accuracy and precision of crime estimates.


First paper / Second paper / Third paper / Fourth paper

Mapping the Bias of Police Records

June 2020 – May 2021
Campion Grant, Manchester Statistical Society
Co-Investigator, with A. Moretti (PI)

This project will investigate the impact of data biases on crime maps produced from police records at the different spatial scales. Simulation studies will be used to assess whether micro-level maps are affected by a larger risk of bias than maps produced at larger scales.

Proposal / First paper / Simulation study codes / Project final report


Comunidad de Coétnicos y Miedo al Delito

Sept 2014 – July 2015
JAEIntro Research Grants, Spanish National Research Council (CSIC)
Principal Investigator, with J. Martí Pérez

This project analysed the fear of crime of members of minority ethnic groups in Barcelona, Spain. Primary and secondary data analysis were used to explain the individual and contextual predictors of fear of crime of members of minority groups residing in different areas of the city.