Law enforcement agencies increasingly use big data analytics in their daily operations. This
review outlines how police departments leverage big data and new surveillant technologies …

Industry 4.0 is beyond change and transformation but a comprehensive revolution that
accelerates scientific and technological progress, which has led to great functionality of …

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 …

Facial recognition technology is just one of a suite of new digital tools police and other
security providers around the world are adopting in an effort to function more safely and …

Police discretion has large potential consequences for public trust and safety; however, little
is known about the extent of this discretion. I show that arrests critically depend on which …

Research Summary The notion that the unjustified use of force by police officers is
concentrated among a few “bad apples” is a popular descriptor that has gained traction in …

While criminology and policing studies focus primarily on offenders and their behaviours,
there has been an increasing focus on victims and victimology. In this paper, we argue that …

This study examines to what extent new and emerging data sources or big data have been
empirically used to measure key theoretical concepts within environmental criminology. By …

Objectives Test whether (1) people view a policing decision made by an algorithm as more
or less trustworthy than when an officer makes the same decision;(2) people who are …

AI technologies hold great promise for addressing existing problems in organizational
contexts, but the potential benefits must not obscure the potential perils associated with AI. In …