Collates cutting-edge, contemporary scholarship on illicit firearms markets from scholars across the globe. Provides an international focus, with individual chapters considering local legislation and influences on the firearms market. Offers a ground-breaking resource for scholars and research students across the disciplines of criminology, legal studies, law, political science and economics
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The Consumer Spyware Industry: An Australian-based analysis of the threats of consumer spyware (PDF, 4.0MB)
Invasive tools of surveillance known as ‘spyware’ are readily available to general consumers and can be used for many abusive and malicious purposes. This report on the findings of research into the consumer spyware industry unpacks the threats that exist from commercially available spyware.
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Trends in child and adolescent assault and maltreatment following the re-introduction of the Banned Drinker Register in the Northern Territory, Australia
In 2017 the Northern Territory (NT) government re-introduced the Banned Drinker Register (BDR) to address the high rates of alcohol related harm. This paper aims to evaluate whether trends in assault, maltreatment and sentinel injuries in children and adolescents were associated with the re-introduction of the BDR, in the context of other local interventions such as police officers stationed in bottle shops being partially removed, Police Auxiliary Liquor Inspectors, and the introduction of a minimum unit price of alcohol.
Offence versatility among co-offenders: A dynamic network analysis
Research examining co-offending has become increasingly popular over the last two decades. Despite this, there remains a dearth of research examining the dynamics of co-offending across time, largely due to limited access to longitudinal data. In the current paper we are interested in explaining crime versatility, and therefore we employ Relational Hyperevent Models (RHEM) to model the conditional probability that a given group of co-offenders engages in one set of crime categories rather than another. Thus, we are analyzing a two-mode network (actors by crime categories) and explain, conditional on a given group of co-offenders, their participation in the set of specific crime types involved in a particular crime event. With respect to co-offending, results reveal that, compared with solo offenders, groups of two or more co-offenders are more likely to engage in crime events involving more than just one crime category. Results suggest that in the context of co-offending both market and property crime show evidence of differential association and social learning. Naïve partners in co-offending partnerships learn the skills and knowledge needed to participate in co-offending involving market and property crime.