Background Despite the increasing awareness and interests about the importance of crime
concentration at places, scholars have not comprehensively synthesized the body of …

Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence,
decision-making in contemporary societies is increasingly delegated to automated …

This article discusses the potential to transfer big data algorithms developed for 'predictive
policing'to the field of corporate sustainability. To do so the paper starts with the thought …

Proactive policing, as a strategic approach used by police agencies to prevent crime, is a
relatively new phenomenon in the United States. It developed from a crisis in confidence in …

The concentration of police resources in stable crime hotspots has proven effective in
reducing crime, but the extent to which police can disrupt dynamically changing crime …

This book explores how predictive policing transforms police work. Police departments
around the world have started to use data-driven applications to produce crime forecasts …

The relationship between crime patterns and associated variables has drawn a lot of
attention. These variables play a critical role in crime prediction. While traditional regression …

Patterns are the epistemological core of predictive policing. With the move towards digital
prediction tools, the authority of the pattern is rearticulated and reinforced in police work …

Objectives We illustrate how a machine learning algorithm, Random Forests, can provide
accurate long-term predictions of crime at micro places relative to other popular techniques …

Over the last two decades, there has been increased interest in the distribution of crime and
other antisocial behavior at lower levels of geography. The focus on micro geography and its …