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 …

The advent of 'Big Data'and machine learning algorithms is predicted to transform how we
work and think. Specifically, it is said that the capacity of Big Data analytics to move from …

The automation brought about by big data analytics, machine learning and artificial
intelligence systems challenges us to reconsider fundamental questions of criminal justice …

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 …

Abstract Objectives In 2013, the Chicago Police Department conducted a pilot of a predictive
policing program designed to reduce gun violence. The program included development of a …

Paul Stoneman and Nigel Gilbert breathe new energy into this classic bestselling textbook
providing clear, relevant advice and extensive coverage of all the research methods you …

Hotspot mapping is a popular analytical technique that is used to help identify where to
target police and crime reduction resources. In essence, hotspot mapping is used as a basic …

Crime Analysis With Crime Mapping, Fourth Edition provides students and practitioners with
a solid foundation for understanding the conceptual nature and practice of crime analysis to …

The research presented here has two key objectives. The first is to apply risk terrain
modeling (RTM) to forecast the crime of shootings. The risk terrain maps that were produced …

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 …