Exploring the Influence of Reporting Delay on Criminal Justice Outcomes: Comparing Child and Adult Reporters of Childhood Sexual Abuse

Delay between disclosure and reporting child sexual abuse is common and has significant implications for the prosecution of such offenses. While we might expect the relationship to be a linear one with longer delay reducing the likelihood of prosecution, the present study confirms a more complex interaction. Utilizing data from 2,079 police records in Northern Ireland, the study investigated the impact of reporting delay on pretrial criminal justice outcomes for child and adult reporters of child sexual abuse. While teenagers were found to be the group most disadvantaged by reporting delay, increased delay actually appeared advantageous for some groups, notably adult females reporting offenses that occurred when they were 0 to 6 years old. Conversely, adult males reporting child sexual abuse did not appear to benefit from increased delay, suggesting both an adult and gender bias within decision-making processes. The implications for future research are discussed. 

Invisible Victims: Recorded Crime and Children in the UK

While violence against children is a common occurrence only a minority of incidents come to the attention of the authorities. Low reporting rates notwithstanding, official data such as child protection referrals and recorded crime statistics provide valuable information on the numbers of children experiencing harm which come to the attention of professionals in any given year. In the UK, there has been a strong tendency to focus on child protection statistics while children as victims of crime remain largely invisible in annual crime reports and associated compendia. This is despite the implementation of a raft of policies aimed at improving the system response to victims and witnesses of crime across the UK. This paper demonstrates the utility of a more detailed analysis of crime statistics in providing information on the patterns of crime against children and examining case outcomes. Based on data made available by the Police Service for Northern Ireland, it highlights how violent crime differentially impacts on older children and how detection rates vary depending on case characteristics. It makes an argument for developing recorded crime practice to make child victims of crime more visible and to facilitate assessment of the effectiveness of current initiatives and policy developments. Copyright © 2013 John Wiley & Sons, Ltd.

Point-and-shoot: rapid quantitative detection methods for on-site food fraud analysis – moving out of the laboratory and into the food supply chain

Major food adulteration and contamination events occur with alarming regularity and are known to be episodic, with the question being not if but when another large-scale food safety/integrity incident will occur. Indeed, the challenges of maintaining food security are now internationally recognised. The ever increasing scale and complexity of food supply networks can lead to them becoming significantly more vulnerable to fraud and contamination, and potentially dysfunctional. This can make the task of deciding which analytical methods are more suitable to collect and analyse (bio)chemical data within complex food supply chains, at targeted points of vulnerability, that much more challenging. It is evident that those working within and associated with the food industry are seeking rapid, user-friendly methods to detect food fraud and contamination, and rapid/high-throughput screening methods for the analysis of food in general. In addition to being robust and reproducible, these methods should be portable and ideally handheld and/or remote sensor devices, that can be taken to or be positioned on/at-line at points of vulnerability along complex food supply networks and require a minimum amount of background training to acquire information rich data rapidly (ergo point-and-shoot). Here we briefly discuss a range of spectrometry and spectroscopy based approaches, many of which are commercially available, as well as other methods currently under development. We discuss a future perspective of how this range of detection methods in the growing sensor portfolio, along with developments in computational and information sciences such as predictive computing and the Internet of Things, will together form systems- and technology-based approaches that significantly reduce the areas of vulnerability to food crime within food supply chains. As food fraud is a problem of systems and therefore requires systems level solutions and thinking.