This edition places a particular focus on residential burglary, one of the core research areas within the BIGDATPOL programme. Readers can discover a sneak preview of two forthcoming publications, news updates across our different research areas and an in-depth contribution on five profiles of residential burglary offenders.

This edition of the newsletter outlines BIGDATPOL’s expansion into new crime domains, while also presenting recent work on explainable AI for interpreting short-term burglary predictions. It additionally introduces new team members and highlights how their expertise strengthens the project’s growing research and practitioner-focused capabilities.

This time, we take you deeper into our research process. Which data and parameters will be used in the upcoming field test? And how were these selected? We also spotlight an external contribution: a thoughtful response by Prof. Dr. Matt Ashby (UCL) to a recent article on predictive policing in The Guardian.

In this third edition, we look back on the steps we have taken and share some of the publications that were issued.

In this second newsletter, we share some updates on the progress of our research programme as well as present some of the intial results.

In this first newsletter, we share some updates on our research programme as well as explain some of the key concepts of big data policing.