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In this report, RAND Corporation researchers summarize what is currently known about killings committed by police officers in the United States and identify existing evidence about various ways to prevent these killings. A relatively large body of research on these topics exists, but these studies often suffer from methodological shortcomings, largely stemming from the dearth of available data. Recognizing the need for more-rigorous work to guide efforts to reform police - and, more specifically, to reduce police killings - the authors present work focused on the development of a research agenda, or a road map, to reduce police killings. The report, based on an extensive literature review as well as interviews with policing experts, contains a series of recommendations for areas in which research efforts may be most effective in helping inform policymaking and decisionmaking aimed at reducing police killings. The authors identified six focus areas - foundational issues (such as racial inequities, police culture, and police unions), data and reporting, training, policies, technology, and consequences for officers. Reviewing the priority research topics in each focus area, similar themes emerged, especially around the need for more-extensive and more-systematic data collection and around the use of agency policies to better govern a range of operations related to police violence, such as data collection and reporting and technology.
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Artificial intelligence algorithms are permeating nearly every domain of human activity, including processes that make decisions about interests central to individual welfare and well-being. How do public perceptions of algorithmic decisionmaking in these domains compare with perceptions of traditional human decisionmaking? What kinds of judgments about the shortcomings of algorithmic decisionmaking processes underlie these perceptions? Will individuals be willing to hold algorithms accountable through legal channels for unfair, incorrect, or otherwise problematic decisions? Answers to these questions matter at several levels. In a democratic society, a degree of public acceptance is needed for algorithms to become successfully integrated into decisionmaking processes. And public perceptions will shape how the harms and wrongs caused by algorithmic decisionmaking are handled. This report shares the results of a survey experiment designed to contribute to researchers' understanding of how U.S. public perceptions are evolving in these respects in one high-stakes setting: decisions related to employment and unemployment.
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The growth in energy production in the tristate Appalachia region (southwestern Pennsylvania, northern West Virginia, and eastern Ohio) has spurred a demand for hiring workers proficient in science, technology, engineering, and mathematics (STEM) fields. This has created a focus on the importance of having high-quality K–12 STEM education in the tristate region, as well as on policies and programs to enable the supply of labor in STEM occupations and career fields to keep pace with evolving demand. A challenge in the region is that the supply of workers with STEM skills has not kept pace with STEM workforce demand, which limits the region's capacity to benefit from national and global economic advances. Recognizing the workforce and education challenges facing the energy and advanced manufacturing industries in the region, the Appalachia Partnership Initiative (API) was launched in 2014 and is committed to investing
Drug abuse --- Opioid abuse --- Fentanyl. --- Opioids. --- Forecasting. --- Government policy --- United States.
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Elder abuse or mistreatment (EM) — which includes psychological, physical, and sexual abuse; neglect; and financial exploitation of older adults — is a widespread problem that can have devastating consequences. People subjected to abuse or mistreatment are more likely to experience depression, cognitive decline, reduced quality of life, and premature mortality. Individuals experiencing EM often need a variety of interventions to restore health, recover from trauma, resolve or recoup financial losses, separate from their abusers, and relocate to new housing. This report presents an initial evaluation of the nation's first elder-specific shelter — the Harry and Jeanette Weinberg Center for Elder Justice, which is part of the Hebrew Home at Riverdale. Located in the Bronx, New York, the Hebrew Home is a nonprofit residential health care facility with 560 beds, part of a continuum of care community that provides a full spectrum of health care, home care, and housing on a nonsectarian basis. The authors seek to shed light on the Weinberg Center model, which aims to benefit the growing number of individuals experiencing EM and also may have wider societal benefits. Specifically, the authors describe the Weinberg Center's shelter model, examine some of the more important outcomes for Weinberg Center clients, and begin to quantify some of the costs and benefits, including potential cost savings, of the model for individuals experiencing EM, public payers, and society. However, it is important to note that this is an initial evaluation with a limited scope. A full evaluation would employ a rigorous experimental design.
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The effectiveness of research, like that of other activities, can be evaluated at different levels — the individual project, a group of projects or program, or a larger grouping that might include multiple programs (a portfolio). Focusing on options for research portfolio evaluation, RAND Corporation researchers found many metrics in use or recommended for federal agencies and private, research-supporting organizations and organized them in a taxonomy. This report presents the characteristics and utility of these metrics, organized by individual stages in a logic-model framework, mapping portfolio metrics to the upstream stages of inputs, processes, and outputs and the downstream stages of outcomes and impacts. At each stage, categories of metrics are composed of sets of metric types, each of which is, in turn, composed of individual metrics. In addition to developing this taxonomy, the authors appraised key attributes of portfolio evaluation metrics and described the trade-offs associated with their use. This structured, annotated compilation can help the Defense Health Agency and other entities that evaluate research portfolios to select, develop, or revise the metrics they use.
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Many law enforcement and other first responder agencies have adopted deflection as a front-line response to the increasing number of drug overdoses and deaths in the United States over the past two decades. Deflection programs aim to connect individuals with substance use disorder (not necessarily limited to opioids or one particular substance) who encounter the criminal justice system with treatment and other services according to the individual's needs. This report describes the findings from a multi-site evaluation of law enforcement deflection in the United States. The authors describe how each program is implemented and identify key program facilitators and barriers. For two of the six sites, the authors conducted outcome analyses to determine whether the model is effective in reducing drug-related deaths and overdoses, arrests, and treatment admissions.
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As the number of older adults in the United States increases, there will be a corresponding increase in the need for services to prevent elder abuse and intervene in cases where it has already occurred. However, there are a limited number of evidence-based interventions to support victims of elder abuse. To encourage the rigorous evaluation of one intervention—Elder Abuse Shelters (EASs)—RAND researchers developed three research designs and assessed the preparedness of the well-established Weinberg Center's EAS in New York to undertake them. Researchers found that the Weinberg Center's EAS is well established, and the program model was organizationally and programmatically ready to be evaluated, though data collection practices should be strengthened before implementing the suggested evaluation designs. These evaluation designs could be generalized and implemented at EASs across the country as the number of shelters continues to grow.
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Opioids play an outsized role in America's drug problems, but they also play a critically important role in medicine. Thus, they deserve special attention. Illegally manufactured opioids (such as fentanyl) are involved in a majority of U.S. drug overdoses, but the problems are broader and deeper than drug fatalities. Depending on the drugs involved, there can be myriad physical and mental health consequences associated with having a substance use disorder. And it is not just those using drugs who suffer. Substance use and related behaviors can significantly affect individuals' families, friends, employers, and wider communities. Efforts to address problems related to opioids are insufficient and sometimes contradictory. In this 600-page report, researchers provide a nuanced assessment of America's opioid ecosystem, highlighting how leveraging system interactions can reduce addiction, overdose, suffering, and other harms. At the core of the opioid ecosystem are the individuals who use opioids and their families. Researchers also include chapters on ten major components of the opioid ecosystem: substance use disorder treatment, harm reduction, medical care, the criminal legal system, illegal supply and supply control, first responders, the child welfare system, income support and homeless services, employment, and education. The primary audience for this book is policymakers, but it should also be useful for foundations looking for opportunities to create change that have often been overlooked. This report can help researchers better consider the full consequences of policy changes and help members of the media identify the dynamics of interactions that deserve more attention.
Opioid abuse --- Drug abuse --- Medication abuse --- Opioids --- Prevention. --- Social aspects --- Government policy --- United States
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