Suchergebnisse

This study examines whether Criminology's Routine Activities Theory (RAT) and related Lifestyle Theory (LST) can account for variation between the attributes of victims of fatal ideologically motivated attacks (akin to terrorism) and the victims of non-ideologically motivated homicide incidents committed by far-Right extremists in the United States. This article makes four contributions. First, we empirically test Criminology theory in the context of terrorism by using routine activities to devise four core hypotheses to explain differences between the two types of victims. Second, our investigation uniquely includes a non-terrorist comparison group (i.e., victims of homicides committed by extremists for personal reasons like greed). Third, our study focuses on ideological victimization. Terrorism researchers have usually ignored victims because of the difficulty in accessing the necessary data. Finally, we also make a methodological contribution by showing that criminology can build upon the terrorism literature by utilizing open-sources. Using data from the Extremist Crime Database (ECDB), the results of a multivariate analysis partially supported the hypotheses, showing that RAT and LST offer empirically supported theoretical constructs that have the ability to differentiate between ideological and non-ideological homicides. Adapted from the source document.

Abstract
Over- and under-policing of neighbourhoods can undermine public trust and confidence in the police as well as the broader justice process. This study reports on attempts to operationalize and test a spatial indicator of potential over- and under-policing, where over-policing is defined as a level of police presence at a particular location that is greater-than-expected, given the level of public demand for police services, current police enforcement strategy, and community preference regarding police activity. Automated Vehicle Locator data and Computer-aided dispatch logs from the Seattle Police Department, as well as data drawn from community-based surveys, are modelled using a Geographic Information System. The model uses 2-week data windows to provide timely and actionable information that can be rendered for decision makers in a CompStat style accountability and management forum. Such an approach has potential utility for police management, as well as for community engagement and reform efforts aimed at addressing the problem of over-policing.

This note describes a new and unique, open source, relational database called the United States Extremist Crime Database (ECDB). We first explain how the ECDB was created and outline its distinguishing features in terms of inclusion criteria and assessment of ideological commitment. Second, the article discusses issues related to the evaluation of the ECDB, such as reliability and selectivity. Third, descriptive results are provided to illustrate the contributions that the ECDB can make to research on terrorism and criminology. Adapted from the source document.