Materials
Non-technical Summaries
Covid-19 and changing crime trends in England and Wales (with additional blog here)
Covid-19 and local crime rates in England and Wales - two years into the pandemic (with blog post here)
Comparing Conventional and Machine-Learning Approaches to Risk Assessment in Domestic Abuse Cases
SEBP Presentations (online)
On Anti-money Laundering (AML)
Opinion Piece: Discussion Paper of the State of Anti-Money Laundering
Case Study: The Danske Bank Money Laundering Scandal: A Case Study
Open Data on Sanctions, PEPs, and Panama Papers: Point.Exposed (updated weekly)
On Big Data in Policing
Used wisely, big data can improve efficiency and increase trust in policing (Policing insight, July 2020)
Big data: A powerful tool for policing, providing the right controls and balances are in place (Policing insight, December 2020)
The evidence on double crewing in response policing: It’s more productive and it’s safer (Policing insight, May 2021, by Ian Wiggett)
On Knife Crime with Injury graph for London at the end of this page (May 2020)
Mapping Charles Booth Maps (1889) with Gang Areas in London (2019)
Murders in London (2018)
Predictive Crime Maps [HMIC/HO/LSE ] (2016)
In the following we depict the annual demand for police services on OA level, with the model being based on data from 18 HO forces.
Predicted Crimes (all)
Predicted Incidents (grade 1&2 - incl. crimes)
We also show a number of more specialised maps, which I list at the bottom of this page.
Other Maps
London House Price Growth (2007-2017)
Global Sanctions List (2018)
Monthly Burglaries (LSOA level, based on public data 2010-2018)
Matching Data
OA and Police Force centroids and boundaries
Other Predictive Maps (password protected)
Predicted Robbery (ROB)
Predicted Drug Offences (DOF)
Predicted Theft Offenses (TOF)
RTC (serious + grade 1&2)
Predicted Property Crime (PPC)
Predicted Missing Person (MIP)