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This study examines the radicalization of Western women to extremist violence, both through the creation of a moral-situational-action risk model and the examination of their responses to various types of online propaganda. The Moral-Situational-Action Risk Model for Extremist Violence (MSA-RMEV) was developed using situational action theory from criminology and violence risk practice literature. The MSA-RMEV revolves around three domains reflective of propensity, mobilization, and capacity building, geared towards providing a violence risk assessment that can assist the intelligence community in preventing future acts of violence.

A sample of women who self-identified as conservative, liberal, and Muslim were exposed to jihadist, alt-right, and alt-left online propaganda. Physiological responses and self-report assessments were recorded. Eye-gaze, pupil dilation, galvanic skin response, heart rate, and facial emotions were documented, along with women's judgment of their emotional, cognitive, and arousal states, while viewing propaganda.

Based on their results, women were categorized as high-risk, medium-risk, or low-risk for violence. Additionally, numerous variables were created to identify participant's beliefs and behavior related to radicalization. Beliefs included religiosity, political affiliation, the presence of moral emotions, sacred values, developmental maturity, and militant thinking. Behaviors included group affiliations, extent of involvement in extremist activities, and presence on social media platforms such as Facebook, Reddit, and Twitter. Demographic variables such as age, marital status, number of children, race, ethnicity, country of origin, and educational status were included.

This project examines the trajectory of radicalization of jihadists and Incels with two broad objectives in mind. First, to develop new integrated computational technology that can mine, monitor, and screen for the occurrence of behaviors associated with dangerously escalating extremism in large heterogenous databases and provide early warnings of individuals or groups on behavioral trajectories toward extremist violence. Second, to harness data science methodologies to enable rapid, semi-automated support for law enforcement analysts and social science researchers to produce structured behavioral indicator profiles from text sources.

The study operated from the premise that being that violent extremists are a rare, complex phenomenon, it is futile to search for a profile of extremism. Rather, it is better to focus on explaining how people come to embrace violent extremism. This path, referred to here as a radicalization trajectory, implies that an arc exists leading the perpetrator from entertaining extremist ideas to action, and that there is a somewhat predictable pathway from a normal, if perhaps angry state, to the perpetration of a violent attack in the name of the ideology. Two teams were combined to analyze radicalization trajectories: data collection and analysis led by Brandeis University and technology development led by Colorado State University (CSU).

The questions revolving around the technological development were as follows: Can tools that rigorously examine and account for the activities of close associates better predict the likelihood that an individual would engage in violent extremism? Which risk assessment indicators for violent extremism in the extant literature are detectable via automated or semi-automated technologies, and what databases and datasets must be integrated to facilitate this detection? Can computationally efficient tools be used to mine these databases for the specific purposes of monitoring and screening for individuals and small groups posing a significant risk for violence?

Users should refer to the data collection notes field below for additional information about study citation.

The objective of this study was to systematically review and statistically synthesize all available research that, at a minimum, compared participants in a restorative justice program to participants processed in a more traditional way using meta-analytic methods. Ideally, these studies would include research designs with random assignment to condition groups, as this provides the most credible evidence of program effectiveness.

The systematic search identified 99 publications, both published and unpublished, reporting on the results of 84 evaluations nested within 60 unique research projects or studies. Results were extracted from these studies, related to delinquency, non-delinquency, and victim outcomes for the youth and victims participating in these programs.

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 designed to understand the economic and social structure of the market for stolen data on-line. This data provides information on the costs of various forms of personal information and cybercrime services, the payment systems used, social organization and structure of the market, and interactions between buyers, sellers, and forum operators. The PIs used this data to assess the economy of stolen data markets, the social organization of participants, and the payment methods and services used.

The study utilized a sample of approximately 1,900 threads generated from 13 web forums, 10 of which used Russian as their primary language and three which used English. These forums were hosted around the world, and acted as online advertising spaces for individuals to sell and buy a range of products. The content of these forums were downloaded and translated from Russian to English to create a purposive, yet convenient sample of threads from each forum.

The collection contains 1 SPSS data file (ICPSR Submission Economic File SPSS.sav) with 39 variables and 13,735 cases and 1 Access data file (Social Network Analysis File Revised 04-11-14.mdb) with a total of 16 data tables and 199 variables.

Qualitative data used to examine the associations and working relationships present between participants at the micro and macro-level are not available at this time.

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 three part project which evaluated the procedural aspects of police lineups. The first part was a meta-analysis of existing laboratory data on comparative eyewitness accuracy rates for sequential versus simultaneous lineups. The second part was three experiments on the elements of current field lineup practices in simultaneous and sequential lineups. The third part was a field experiment in Tucson, Arizona, which tested double-blind simultaneous versus double-blind sequential lineups.

This is a comprehensive meta-analysis of available research on the effects of intervention programs for adult offenders, which is based on 801 eligible controlled studies reported through 2014 identified by researchers. Variables describing the intervention, participating offender samples, research methods, and effects found on a range of outcome constructs were coded into a database for analysis. The major outcome categories examined were recidivism, substance use, employment, mental health, anger/hostility, and aggression/violence. Broad intervention approaches included those such as cognitive behavioral, structured group, counseling, and drug court programs.

The meta-analysis seeks to examine outcomes of various types of interventions and identify the characteristics of programs and participants most closely associated with positive outcomes. It seeks to use the findings to construct and obtain feedback on effective practice guidelines within the adult correctional system.

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.

Product counterfeiting is the fraudulent reproduction of trademark, copyright, or other intellectual property related to tangible products without the authorization of the producer and motivated by the desire for profit. This study create a Product Counterfeiting Database (PCD) by assessing multiple units of analysis associated with counterfeiting crimes from 2000-2015: (1) scheme; (2) offender (individual); (3) offender (business); (4) victim (consumer); and (5) victim (trademark owner). Unique identification numbers link records for each unit of analysis in a relational database.

The collection contains 5 Stata files and 1 Excel spreadsheet file.

• Scheme-Data.dta (n=196, 35 variables)
• Offender-Individual-Data.dta (n=551, 16 variables)
• Offender-Business-Data.dta (n=310, 5 variables)
• Victim-Consumer-Data.dta (n=54, 8 variables)
• Victim-Trademark-Owner-Data.dta (n=146, 5 variables)
• Relational-Data.xlsx (4 spreadsheet tabs)

Eyewitness lineup identification accuracy is affected by numerous variables, including those that are under the control of the legal system, called system variables (e.g., pre-lineup instructions), and those that are not under the control of the legal system, called estimator variables (e.g., the race of the perpetrator). One of the ultimate goals of eyewitness researchers is to develop procedures that:

• minimize false identifications caused by system and estimator variables (while minimizing any decrease in correct identifications), and
• require few resources for law enforcement to enact.

The project tested the effectiveness of a system variable--providing witnesses with an explicit 'not sure' instruction before viewing the lineup-- that potentially meets both of these criteria. Furthermore, a 'not sure' instruction may act as a prophylactic against the harmful effects of system and estimator variables known to inflate false identifications. The specific objective of the research was to test the effectiveness of this 'not sure' instruction.