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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.

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.

The Second International Self-Report Delinquency Study (ISRD-2) was a large international collaborative study of delinquency and victimization of 12 to 15 year-old students in seventh, eighth, and ninth grade classrooms. The study was a school-based study that drew on random samples from either city level or national level. In general, the cross-national description of the prevalence and incidence of delinquent behavior allowed for the assessment of national crime rates by comparison with the crime rates of other countries. The study was conducted in 31 mostly European countries, the United States, Caribbean and South American countries. The primary research questions explored included:

• Is juvenile delinquency normal, ubiquitous, and transitional?
• Is there a pattern of similarity in the offending behavior of juveniles across countries or are there any important differences? Descriptive comparisons of crime rates will call for explanations, especially if differences are observed.
• What are the national socio-economic or cultural differences, or the characteristics of legal or criminal policies that can explain such differences?

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)