There are widespread concerns about the use of artificial intelligence in law enforcement.
Predictive policing and risk assessment are salient examples. Worries include the accuracy …

Recent developments in genetics and neuroscience have led to increasing interest in
biosocial approaches to social life. While today's biosocial paradigms seek to examine more …

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 study reported here follows the suggestion by Caplan et al.(Justice Q, 2010) that risk
terrain modeling (RTM) be developed by doing more work to elaborate, operationalize, and …

For several years now, crime prediction software operating on the basis of data analysis and
algorithmic pattern detection has been employed by police departments throughout the …

Research identifies various place features (eg, bars, schools, public transportation stops)
that generate or attract crime. What is less clear is how the spatial influence of these place …

Although the revolutionary potential of predictive policing has often been exaggerated, this
novel policing strategy nonetheless implies something substantially new: the underlying …

Past studies have shown that crime events are often clustered. This study proposes a
spatiotemporal Hawkes-type point process model, which includes a background component …

The use of predictive AI tools to improve decision-making in relation to crime prevention and
investigation is a reality. They are being implemented almost before we fully understand …

Purpose The current study investigates the application of risk terrain modeling (RTM) to
forecast gang violence. RTM is routinely utilized to predict future criminal events in micro …