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This project sought to gather and analyze data on the effects of marijuana legalization from primary and secondary data sources that are both local and national in scope, and at both the individual and aggregate level. Since 1996, 37 states have passed statutes legalizing marijuana for medical and/or recreational use, while it has remained illegal under federal law. Jurisdictional and temporal variation in law creates a complex environment and substantial challenges for police and prosecutors charged with enforcement, and little is known about the justice system processing, public safety, and public health outcomes of evolving laws and policies.

Secondary criminal justice and public health data were gathered from federal, state, and local sources. Each source has a sufficiently long time series to provide statistical power and to allow for sometimes gradual implementation. The design exploits geographic and temporal variation in the implementation of marijuana law, using a difference-in-differences design that compares outcomes in states which implemented the policies with states that did not, before and after implementation.

In 2013, the Cuyahoga County (Ohio) Medical Examiner's Office (CCMEO) and the Regional Forensic Science Laboratory developed the Heroin Involved Death Investigation (HIDI) alert system and protocol in response to a substantial increase in opioid-related overdose fatalities. The HIDI protocol is designed to support a safe, coordinated, and rapid response to an active, suspected opioid-overdose death scene, or suspected opioid-overdose deaths occurring at hospitals that are not considered active scenes, by alerting investigators to potential dangers and facilitating the timely protection of scene integrity and evidence collection in order to successfully investigate and prosecute drug traffickers.

The primary goals of the project were to:

1. Complete extended coding of local medical examiner decedent data--investigative reports and toxicology to identify demographic or geographic trends or patterns of overdose deaths, as well as paraphernalia and evidence present at death scenes that may be useful to prosecutions;
2. Examine the efficiency of how cases flow through the investigative and prosecutorial stages and how these could be improved;
3. Identify key variables that may contribute to the successful indictment of traffickers connected to fatal and non-fatal overdose cases; and
4. Evaluate the implementation and perceived effectiveness of the Cuyahoga County HIDI protocol.

This multi-method project involved three phases of data collection and analysis. First, a forensic epidemiologist coded and analyzed existing CCMEO records for decedent toxicology and death scene characteristics, focusing on drug-related fatalities. Second, county and federal cases prosecuted for drug trafficking, especially those linked to deaths, were systematically reviewed to determine what evidence was deemed important for successful indictment. Third, interviews and focus groups were conducted with key stakeholders from local and federal law enforcement, intelligence analysts, public health officials, and local and federal prosecutors to learn about the HIDI protocol.

Data and documentation for interviews and focus groups will be made available in a future update.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to November 29, 2018. Data are extracted from the Chicago Police Department's Citizen Law Enforcement Analysis and Reporting (CLEAR) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified.

Users with questions about this dataset may contact the Research and Development Division of the Chicago Police Department at [email protected].

Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The objective of this project was to enhance understanding of violent disputes by examining the use of aggression to rectify a perceived wrong. It also sought to identify the factors that determine if retaliatory violence occurs within disputes as well as to understand how long retaliatory disputes last, and what factors lead to the termination of such disputes.

This collection includes two SPSS data files: "Dispute_Database_for_NACJD.sav" with 40 variables and 111 cases and "Northeastern_City_Violence_Database_NACJD_submission.sav" with 164 variables and 1,303 cases.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study was a multi-site evaluation of a presumptive drug detection technology (PDDT) developed by Mistral Security Incorporated (MSI). The evaluation was conducted by Justice and Security Strategies, Inc. (JSS) in work release programs, probation and parole offices, and drug courts in three states: Alabama, Florida, and Wyoming. Also, interviews with the offenders, corrections staff, and program administrators were conducted.

The purpose of this research was to further understanding of why crime occurs where it does by exploring the spatial etiology of homicides that occurred in Washington, DC, during the 13-year period 1990-2002.

The researchers accessed records from the case management system of the Metropolitan Police, District of Columbia (MPDC) Homicide Division to collect data regarding offenders and victims associated with the homicide cases. Using geographic information systems (GIS) software, the researchers geocoded the addresses of the incident location, the victim's residence, and offender's residence for each homicide case. They then calculated both Euclidean distance and shortest path distance along the streets between each address per case. Upon applying the concept of triad as developed by Block et al. (2004) in order to create a unit of analysis for studying the convergence of victims and offenders in space, the researchers categorized the triads according to the geometry of locations associated with each case. (Dots represented homicides in which the victim and offender both lived in the residence where the homicide occurred; lines represented homicides that occurred in the home of either the victim or the offender; and triangles represented three non-coincident locations: the separate residences of the victim and offender, as well as the location of the homicide incident.) The researchers then classified each triad according to two separate mobility triangle classification schemes: Traditional Mobility, based on shared or disparate social areas, and Distance Mobility, based on relative distance categories between locations. Finally, the researchers classified each triad by the neighborhood associated with the location of the homicide incident, the location of the victim's residence, and the location of the offender's residence.

A total of 3 statistical datasets and 7 geographic information systems (GIS) shapefiles resulted from this study. Note: All datasets exclude open homicide cases. The statistical datasets consist of Offender Characteristics (Dataset 1) with 2,966 cases; Victim Characteristics (Dataset 2) with 2,311 cases; and Triads Data (Dataset 3) with 2,510 cases. The GIS shapefiles have been grouped into a zip file (Dataset 4). Included are point data for homicide locations, offender residences, triads, and victim residences; line data for streets in the District of Columbia, Maryland, and Virginia; and polygon data for neighborhood clusters in the District of Columbia.

The Multi-Site Adult Drug Court Evaluation (MADCE) study included 23 drug courts and 6 comparison sites selected from 8 states across the country. The purpose of the study was to: (1) Test whether drug courts reduce drug use, crime, and multiple other problems associated with drug abuse, in comparision with similar offenders not exposed to drug courts, (2) address how drug courts work and for whom by isolating key individual and program factors that make drug courts more or less effective in achieving their desired outcomes, (3) explain how offender attitudes and behaviors change when they are exposed to drug courts and how these changes help explain the effectiveness of drug court programs, and (4) examine whether drug courts generate cost savings.

Offenders in all 29 sites were surveyed in 3 waves, at baseline, 6 months later, and 18 months after enrollment. The research comprises three major components: process evaluation, impact evaluation, and a cost-benefit analysis. The process evaluation describes how the 23 drug court sites vary in program eligibility, supervision, treatment, team collaboration, and other key policies and practices. The impact evaluation examines whether drug courts produce better outcomes than comparison sites and tests which court policies and offender attitudes might explain those effects. The cost-benefit analysis evaluates drug court costs and benefits.

The DC Metropolitan Area Drug Study (DC*MADS) was conducted in 1991, and included special analyses of homeless and transient populations and of women delivering live births in the DC hospitals. DC*MADS was undertaken to assess the full extent of the drug problem in one metropolitan area. The study was comprised of 16 separate studies that focused on different sub-groups, many of which are typically not included or are underrepresented in household surveys.

The Homeless and Transient Population study examines the prevalence of illicit drug, alcohol, and tobacco use among members of the homeless and transient population aged 12 and older in the Washington, DC, Metropolitan Statistical Area (DC MSA). The sample frame included respondents from shelters, soup kitchens and food banks, major cluster encampments, and literally homeless people. Data from the questionnaires include history of homelessness, living arrangements and population movement, tobacco, drug, and alcohol use, consequences of use, treatment history, illegal behavior and arrest, emergency room treatment and hospital stays, physical and mental health, pregnancy, insurance, employment and finances, and demographics. Drug specific data include age at first use, route of administration, needle use, withdrawal symptoms, polysubstance use, and perceived risk.