Child Sexual Abuse Perpetrated by Women: Case Series and Review of the Literature

The literature on child sexual abuse (CSA) perpetrated by female sexual offenders (FSOs) is exiguous, and many studies have focused on judicial databases. The present retrospective study, instead, analyzed clinical and judicial data of a group of both victims and alleged FSOs, to additionally include women who have not been convicted by the criminal justice system, but who hold strong clinical suspicions of being perpetrators of CSA. The medical records and the Court files of 11 children and their eight suspected FSOs have been collected and critically reviewed in light of the literature to date. This approach allowed for a deeper understanding of the relationship between child and FSO. The authors hypothesize that the victims’ severe psychopathological outcomes were a result of a failure to develop appropriate attachments with their prospective caregivers, which could have been damaged by the pathological relationship with FSOs, who were the victims’ caregivers.     

A comparison of three automated DNA purification methods in Forensic casework

Manual Chelex^®-100 and organic extractions (phenol/chloroform) are used as routine methods at the Swedish National Laboratory of Forensic Science, SKL. The aim of this study was to find an automated DNA purification system to replace the organic method. The following methods were evaluated and compared to each other and to the organic method used routinely; BioRobot^® EZ1 with EZ1 DNA Investigator Kit and Card (Qiagen), iPrep™ Purification Instrument with iPrep™ ChargeSwitch^® Forensic Kit and Card (Invitrogen), Magnatrix™ 1200 Workstation with the Magnatrix™ gDNA Blood Kit Forensic and two different protocols; Forensic protocol A and B (Magnetic Biosolutions). Blood on fats, cotton swabs, moist snuff, paper towels and leather, post-mortem blood and muscle tissue were extracted with the different methods. DNA concentration and quality of the electropherograms were examined. Individual comparisons between the four extraction methods showed that iPrep™ and Magnatrix™ 1200 gave significantly lower mean quantities compared to BioRobot^® EZ1 and the organic extraction method (p < 0.05). There were no significant differences between the latter two. BioRobot^® EZ1 generated the best results and is in the process of being validated for routine analysis at SKL.     

EU-Libya Cooperation on Migration: A Raw Deal for Refugees and Migrants?

Libya's emergence as a key jumping-off point for entry intoEurope by sea has created a sense of urgency within the EU,which seeks to prevent arrivals from this new point of departure,and has led to the initiation of EU–Libya cooperationon migration. This article argues that the EU is failing toadopt an integrated approach to migration management in Libya,despite its repeated assurances to the contrary. It examinesEU–Libya cooperation, still in its early stages, and analysesthe experiences of refugees and migrants in Libya and on theirjourneys to Europe. Both elements strongly indicate that thecurrent approach, which focuses on border control and surveillance,is likely to meet with limited success in achieving the EU'saims of stemming the flow of irregular migrants arriving fromLibya in Italy and Malta, protecting the human rights of thosein transit and ensuring humanitarian outcomes for them.     

What Gets Measured,Gets Done: Understanding and Addressing Middle‐Class Challenges

Middle‐class families face a range of challenges, including uneven income growth, imposing child care costs, and affordability gaps for higher education. The ideal policies by which policy makers and public administrators can aid the middle class are far from obvious. Policy solutions are likely to mirror our government and population, meaning that they will be decentralized and varied. Achieving a “growing and thriving middle class” requires understanding the composition of the middle class across the country. Benchmarking and measuring the middle‐class condition at the state and substate levels is critical to crafting and adopting effective policy solutions. This Viewpoint essay highlights the Colorado context to demonstrate the measurement of the middle class and tracking of its lived experiences.     

Next generation engagement: Setting a research agenda for community engagement in Australia's infrastructure sector

The global infrastructure sector is thriving. But community opposition to major projects is also rising. Australian examples demonstrate the policy backflips, reputational pitfalls, and financial costs of project delays and cancellations. Failures to engage communities are surprising, given the widespread adoption of community engagement (CE) principles and the increasing professionalization of CE roles. If acceptance of the need for CE in infrastructure is more widespread than ever, why are we not seeing smoother project delivery, reduced protest, and cost savings? This paradox is the driving force behind the Next Generation Engagement project. This article offers a practitioners’ perspective to introduce the project and present key findings from its 12‐month pilot study aiming to establish a transdisciplinary, industry‐led research agenda for CE in Australia's infrastructure sector. The article contributes to our understanding of CE literature and research codesign. It maps out the top five priority themes for future research to support infrastructure selection, planning and delivery. The research agenda provides guidance for policy, and practice, offering consolidated, research‐based insights for policymakers and practitioners.     

Regulating Autonomy: An Assessment of Policy Language for Highly Automated Vehicles

Self‐driving cars (also known as driverless cars, autonomous vehicles, and highly automated vehicles [HAVs]) will change the regulatory, political, and ethical frameworks surrounding motor vehicles. At the highest levels of automation, HAVs are operated by independent machine agents, making decisions without the direct intervention of humans. The current transportation system assumes human intervention though, including legal and moral responsibilities of human operators. Has the development of these artificial intelligence (AI) and autonomous system (AS) technologies outpaced the ethical and political conversations? This paper examines discussions of HAVs, driver responsibility, and technology failure to highlight the differences between how the policy‐making institutions in the United States (Congress and the Public Administration) and technology and transportation experts are or are not speaking about responsibility in the context of autonomous systems technologies. We report findings from a big data analysis of corpus‐level documents to find that enthusiasm for HAVs has outpaced other discussions of the technology.     

Legitimacy crises and the temporal dynamics of bureaucratic representation

The representation of specific groups and social interests within (or by) the civil service has long been a concern of public administration scholarship. Yet, much of this literature focuses on representation at a single point in time. In this article, we propose a more dynamic perspective. In terms of theory, we postulate specific temporal relationships between triggering cues (e.g., a crisis event) and the representation decisions of civil servants. We specify two complementary mechanisms underlying these relationships: that is, a sensemaking process whereby the perceived meaning and relative salience of distinct groups and interests changes over time; and a shift in bureaucrats' discretion to represent specific groups or interests changes over time. We illustrate these time-dependent processes using interview and survey data from the European Commission.