Background In fact, most schools around the world are not well equipped to have
discussions and keep current on the expansion of artificial intelligence (AI) in many aspects …

We use data on police-involved deaths to estimate how the risk of being killed by police use
of force in the United States varies across social groups. We estimate the lifetime and age …

Public administration research has documented a shift in the locus of discretion away from
street-level bureaucrats to “systems-level bureaucracies” as a result of new information …

Most scholarship on prosecutors in the United States is diagnostic, prescriptive, or both; the
motivating questions are, What is the problem with prosecutors, and how do we fix it …

Abstract Machine learning (ML) methods have gained a great deal of popularity in recent
years among public administration scholars and practitioners. These techniques open the …

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 …

Early Intervention (EI) systems are police accountability tools widely used to identify and
address at-risk officers. Studies have yet to incorporate supervisory review practices into EI …

Purpose The purpose of this paper is to provide a comprehensive literature review of prior
empirical studies that have examined early intervention (EI) systems or programs in policing …

Applications of machine learning (ML) to high-stakes policy settings-such as education,
criminal justice, healthcare, and social service delivery-have grown rapidly in recent years …

Despite decades of research considering police misconduct, there is still little consensus on
officer characteristics associated with misconduct, and best practice for detection and …