Anneleen Rummens

• PhD in Criminology | MSc in Statistics
• Researcher at Ghent University

Police databases hold a large amount of crime data that could be used to inform us about current and future crime trends and patterns. Predictive analysis aims to optimize the use of these data to anticipate criminal events. It utilizes specific statistical methods to predict the likelihood of new crime events at small spatiotemporal units of analy...

Being able to anticipate crime such that new crime events can be dealt with effectively or prevented entirely, leads police forces worldwide to look at applying predictive policing, which provides predictions of times and places at risk for crime, such that proactive preventative measures can be taken. Ideally, predictive policing models predict cr...

The main objective of this study is to test and compare the prediction performance of three of the most common predictive policing methods. A near-repeat model, a supervised machine learning model, and a risk terrain model are tested and compared against each other using retrospective analysis of home burglary crime data from a Belgian city. Hotspo...

This article assesses whether ambient population is a more suitable population-at-risk measure for crime types with mobile targets than residential population for the purpose of intelligence-led policing applications. Specifically, the potential use of ambient population as a crime rate denominator and predictor for predictive policing models is ev...

Decision-making processes are increasingly based on intelligence gained from ‘big data’, i.e., extensive but complex datasets. This evolution of analyzing complex data using methods aimed at prediction is also emerging within the field of quantitative criminology. In the context of crime analysis, the large amount of crime data available can be con...

In dit artikel wordt nagegaan of de ambient population, oftewel het aantal mensen dat op een bepaald tijdstip in een bepaald gebied aanwezig is, een geschiktere maatstaf biedt om het criminaliteitsrisico in tijd en ruimte in te schatten voor delicten met mobiele doelwitten dan de residentiële populatie. Meer specifiek wordt de potentie van het gebr...

Predictive policing: a balance after six years of empirical evaluation research in Belgium Predictive policing is the use of historical crime and other data in complex statistical models to predict where and when there is a high risk of new crime events. These predictions can then be used to direct police patrols proactively. Despite the increasing...

Informatiegestuurde politiezorg is onontbeerlijk in de dagelijkse werking van een politiezone. Op basis van praktijkvoorbeelden reflecteert deze bijdrage op de uitdagingen waarvoor informatiegestuurde zorg staat en de goede praktijken die een mogelijke oplossing kunnen bieden.