12,094 research outputs found

    Evidence-Informed Criminal Justice

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    The American criminal justice system is at a turning point. For decades, as the rate of incarceration exploded, observers of the American criminal justice system criticized the enormous discretion wielded by key actors, particularly police and prosecutors, and the lack of empirical evidence that has informed that discretion. Since the 1967 President’s Commission on Law Enforcement and Administration of Justice report, The Challenge of Crime in a Free Society, there has been broad awareness that the criminal system lacks empirically informed approaches. That report unsuccessfully called for a national research strategy, with an independent national criminal justice research institute, along the lines of the National Institutes of Health. Following the report, police agencies continued to base their practices on conventional wisdom or “tried-and-true” methods. Prosecutors retained broad discretion, relying on their judgment as lawyers and elected officials. Lawmakers enacted new criminal statutes, largely reacting to the politics of crime and not empirical evidence concerning what measures make for effective crime control. Judges interpreted traditional constitutional criminal procedure rules in deference to the exercise of discretion by each of these actors. Very little data existed to test what worked for police or prosecutors, or to protect individual defendants’ rights. Today, criminal justice actors are embracing more data-driven approaches. This raises new opportunities and challenges. A deep concern is whether the same institutional arrangements that produced mass incarceration will use data collection to maintain the status quo. Important concerns remain with relying on data, selectively produced and used by officials and analyzed in nontransparent ways, without sufficient review by the larger research and policy community. Efforts to evaluate research in a systematic and interdisciplinary fashion in the field of medicine offer useful lessons for criminal justice. This Article explores the opportunities and concerns raised by a law, policy, and research agenda for an evidence-informed criminal justice system

    Community Ally Composition as an Indicator of Anti-Bias Policing Reform Readiness: A Stakeholder Analysis

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    This essay explores the usage of the power mapping tool in assessing community readiness for policing reform. Biased policing is a national concern as well as a local one. The Latino population faces unique consequences of biased policing interactions including rights violations, discrimination, health risks, and reduced feelings of security. In an exploratory case study design, the stakeholders of biased policing reform policy are identified among six municipalities around the Pittsburgh area. A visual power map adapted from Eden and Ackerman’s original tool (1998) is then used to compare the composition of allies among the six communities to assess readiness for engagement in policing reform policy. The first aim of this essay is to assess how the use of the power mapping tool can identify and categorize individuals and entities within communities as allies for a political cause, specifically policing reform. The second aim is to consider how the composition of allies within communities may contribute as an indicator for community readiness for policing reform. Policy reform is a multistage endeavor that requires networks and the growth of community support. The stakeholder analysis Power v. Interest Grid is commonly executed in policy implementation, yet; the tool may prove to have implications in being applied to predictive readiness for reform. Stakeholder analysis is significant to public health in its ability to empower local communities to advocate for health and population-based policy interventions

    Oversight of Police Intelligence: A Complex Web, but Is It Enough?

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    This article analyzes the jurisdiction, function, powers, and expertise of oversight mechanisms with reference to capacity to oversee the legality of emerging police intelligence practices such as facial recognition, social media analytics, and predictive policing. It argues that oversight of such practices raises distinct issues ranging from the general oversight of policing, given the secrecy associated with police intelligence generally, to the use of complex software in particular. It combines doctrinal analysis with analysis of interviews with policing intelligence analysts, intelligence managers, lawyers, and IT professionals in three jurisdictions: Canada, Australia, and New Zealand. It brings together the roles of a variety of entities involved directly or indirectly in oversight; in particular, professional standards units, independent police and public sector oversight bodies, intelligence oversight, privacy and human rights regulators, courts, political bodies, contracting parties, and ad hoc bodies. Understanding the web of oversight as a whole, and comparing across jurisdictions, it concludes with specific proposals for reform

    The Wandering Officer

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    “Wandering officers” are law-enforcement officers fired by one department, sometimes for serious misconduct, who then find work at another agency. Policing experts hold disparate views about the extent and character of the wandering-officer phenomenon. Some insist that wandering officers are everywhere—possibly increasingly so—and that they’re dangerous. Others, however, maintain that critics cherry-pick rare and egregious anecdotes that distort broader realities. In the absence of systematic data, we simply do not know how common wandering officers are or how much of a threat they pose, nor can we know whether and how to address the issue through policy reform. In this Article, we conduct the first systematic investigation of wandering officers and possibly the largest quantitative study of police misconduct of any kind. We introduce a novel data set of all 98,000 full-time law-enforcement officers employed by almost 500 different agencies in the State of Florida over a thirty-year period. We report three principal findings. First, in any given year during our study, an average of just under 1,100 officers who were previously fired—three percent of all officers in the State—worked for Florida agencies. Second, officers who were fired from their last job seem to face difficulty finding work. When they do, it takes them a long time, and they tend to move to smaller agencies with fewer resources in areas with slightly larger communities of color. Interestingly, though, this pattern does not hold for officers who were fired earlier in their careers. Third, wandering officers are more likely than both officers hired as rookies and those hired as veterans who have never been fired to be fired from their next job or to receive a complaint for a “moral character violation.” Although we cannot determine the precise reasons for the firings, these results suggest that wandering officers may pose serious risks, particularly given how difficult it is to fire a police officer. We consider several plausible explanations for why departments nonetheless hire wandering officers and suggest potential policy responses to each

    Judging Risk

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    Risk assessment plays an increasingly pervasive role in criminal justice in the United States at all stages of the process, from policing, to pre-trial, sentencing, corrections, and during parole. As efforts to reduce incarceration have led to adoption of risk-assessment tools, critics have begun to ask whether various instruments in use are valid and whether they might reinforce rather than reduce bias in criminal justice outcomes. Such work has neglected how decisionmakers use risk-assessment in practice. In this Article, we examine in detail the judging of risk assessment and we study why decisionmakers so often fail to consistently use such quantitative information

    Race and Policing: An Agenda for Action

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    This paper is organized into two parts -- Strategic Voice and Tactical Agency. Strategic Voice argues that problems of race in policing cannot be resolved by the police alone. Other people must help by understanding and ameliorating the social conditions that cause race to be associated with crime and hence become a dilemma for American policing. Rather than accepting these conditions as givens, police leaders with their powerful collective voice should actively call attention to what needs to be changed. Tactical Agency outlines what the police can do on their own initiative to deal with the operational dilemmas of race -- in the communities they serve and in their own organizations

    Improving Fairness and Addressing Racial Disparities in the Delaware Criminal Justice System

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    This memorandum summarizes existing scholarly research on police stops; pretrial detention; charging, plea bargaining, and sentencing; and alternatives to incarceration. For each topic, the memo surveys the extent to which each of these contributes to racial disparities as well as inaccuracies in criminal justice; identifies reforms that have worked elsewhere to ameliorate these problems; and considers the extent to which these reforms are compatible with preserving and improving public safety. The memorandum concludes with a brief discussion of recent scholarship that both highlights larger social factors that contribute to disparity and identifies programs and initiatives outside of the criminal justice system that might reduce racial disparities within the system

    Algorithmic Jim Crow

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    This Article contends that current immigration- and security-related vetting protocols risk promulgating an algorithmically driven form of Jim Crow. Under the “separate but equal” discrimination of a historic Jim Crow regime, state laws required mandatory separation and discrimination on the front end, while purportedly establishing equality on the back end. In contrast, an Algorithmic Jim Crow regime allows for “equal but separate” discrimination. Under Algorithmic Jim Crow, equal vetting and database screening of all citizens and noncitizens will make it appear that fairness and equality principles are preserved on the front end. Algorithmic Jim Crow, however, will enable discrimination on the back end in the form of designing, interpreting, and acting upon vetting and screening systems in ways that result in a disparate impact
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