The Crisis intervention team model (CIT) is possibly the most well known and widely adopted model to improve police response to persons with mental illness. A primary goal of CIT programs is to divert individuals with mental illness from the criminal justice system to mental health services. In this paper we examine the effectiveness of fielding CIT trained and supported officers for influencing call outcomes using data from patrol officers (n = 112) in four Chicago Police districts. Results from regression analysis indicate that CIT certified officers directed a greater proportion of persons with mental illness to mental health services than their Non-CIT certified peers. CIT did not have an immediate effect on arrest. Moderator analysis indicates that CIT had its biggest effect on increasing direction to services and decreasing "contact only" among officers who have a positive view of mental health services and who know a person with mental illness in their personal life. Additional moderators of the CIT effect on call outcomes include level of resistance and the presence of a weapon. Findings from this study have important implications for policy, practice and future research.

The large numbers of people with mental illness in jails and prisons has fueled policy concern in all domains of the justice system. This includes police practice, where initial decisions to involve persons in the justice system or divert them to mental health services are made. One approach to focus police response in these situations is the implementation of Crisis Intervention Teams (CIT). The CIT model is being implemented widely, with over 400 programs currently operating. While the limited evidence on CIT effectiveness is promising, research on CIT is limited in scope and conceptualization-much of it focusing on officer characteristics and training. In this paper we review the literature on CIT and present a conceptual model of police response to persons with mental illness that accounts for officer, organizational, mental health system and community level factors likely to influence implementation and effectiveness of CIT and other approaches. By moving our conceptualizations and research in this area to new levels of specificity, we may contribute more to effectiveness research on these interventions.

Over the last half century in the United States, we have seen the criminal system become increasingly aggressive in its response to violence against intimate partners. Although policies have been implemented to encourage arrest, police continue to maintain discretion over whether or whom to arrest in cases of intimate partner violence (IPV). Using data from three national data sets, we examined the contributions of incident, agency, and community factors on the police arrest decisions, independently considering atypical cases of women arrested and dual arrest. The findings from this study reveal that incident factors account for the majority of the variance in arrest for single arrest cases, more so than factors associated with the particular police agency or the community in which the alleged crime occurred. The frequency of dual arrest is affected more by community factors. The findings from this study can be used to guide police training and local policies as well as to inform legislation designed to prevent variance in arrest based on sociodemographic and other extralegal factors.

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Programs to improve police interactions with persons with mental illness are being initiated across the country. In order to assess the impact of such interventions with this population, we must first understand the dimensions of how police encounters are experienced by consumers themselves. Using procedural justice theory as a sensitizing framework, we used in-depth semi-structured interviews to explore the experiences of twenty persons with mental illness in 67 encounters with police. While participants came into contact with police in a variety of ways, two main themes emerged. First, they feel vulnerable and fearful of police, and second, the way police treated them mattered. Findings elaborate on dimensions of procedural justice theory and are informative for police practice and mental health services.

Crime is classically "unpredictable". It is not necessarily random, but neither does it take place consistently in space or time.A better theoretical understanding is needed to facilitate practical crime prevention solutions that correspond to specific places and times. In this study, we discuss the preliminary results of a crime forecasting model developed in collaboration with the police department of a United States city in the Northeast. We first discuss our approach to architecting datasets from original crime records. The datasets contain aggregated counts of crime and crime-related events categorized by the police department. The location and time of these events is embedded in the data. Additional spatial and temporal features are harvested from the raw data set.Second, an ensemble of data mining classification techniques is employed to perform the crime forecasting. We analyze a variety of classification methods to determine which is best for predicting crime "hotspots". We also investigate classification on increase or emergence.Last, we propose the best forecasting approach to achieve the most stable outcomes. The result of our research is a model that takes advantage of implicit and explicit spatial and temporal data to make reliable crime predictions.

The underreporting of sexual assault is well known to researchers, practitioners, and victims. When victims do report, their complaints are unlikely to end in arrest or prosecution. Existing research on police discretion suggests that the police decision to arrest for sexual assault offenses can be influenced by a variety of legal and extra-legal factors particularly challenges to victim credibility. Although extant literature examines the effects of individual behaviors on police outcomes, less is known about how the accumulation of these behaviors, attributions, and characteristics affects police decision making. Using data collected from the Los Angeles Police Department and Sheriff's Department, we examine one police decision point-the arrest to fill this gap in the literature. First, we examine the extent to which the effects of potential challenges to victim credibility, based on victim characteristics and behaviors, influence the arrest decision, and next, how these predictors vary across circumstances. Specifically, we examine how factors that challenge victim credibility affect the likelihood of arrest in sexual assault cases where the victim and offender are strangers, acquaintances, and intimate partners.

After several decades of research on how the criminal justice system handles reports of sexual assault, the attrition of cases at the police and prosecutor stages continues to draw the attention of policy makers, victim advocates, and academics. Such attrition has implications for thousands of victims and their alleged offenders each year. Current estimates show that significant rates of attrition persist and vary across jurisdictions. Recent work in two jurisdictions reveals a pattern of exceptional clearances being used to close sexual assault cases reported to the police and that prosecutors are weighing in at the arrest stage. Broadening this analysis we use incident data from a multitude of jurisdictions that report to the National Incident Based Reporting System (NIBRS) in combination with data from other law enforcement sources to investigate how legal and extra-legal incident factors as well as agency factors differentiate the decision to clear cases by exceptional means from clearance by arrest. We find that 1 Downloaded by [University of New England] at 23:21 28 March 2016 2 A. Pattavina et al.agency, legal, and extra-legal factors predict the use of exceptional clearance relative to arrest and discuss how these findings suggest a downstream orientation in case processing.