Towards a Criminology of the Domestic

Criminology has paid insufficient attention to the ‘domestic’ arena, as a locale that is being reconfigured through technological and social developments in ways that require us to reconsider offending and victimisation. This article addresses this lacuna. We take up Campbell's (2016) challenge that criminology needs to develop more sophisticated models of place and space, particularly in relation to changing patterns of consumption and leisure activity and the opportunities to offend in relation to these from within the domestic arena

The ‘uberization of policing’? How police negotiate and operationalise predictive policing technology

Predictive policing generally refers to police work that utilises strategies, algorithmic technologies, and big data to generate near-future predictions about the people and places deemed likely to be involved in or experience crime. Claimed benefits of predictive policing centre on the technology’s ability to enable pre-emptive police work by automating police decisions. The goal is that officers will rely on computer software and smartphone applications to instruct them about where and who to police just as Uber drivers rely on similar technologies to instruct them about where to pick up passengers. Unfortunately, little is known about the experiences of the in-field users of predictive technologies. This article helps fill this gap by addressing the under researched area of how police officers engage with predictive technologies. As such, data is presented that outlines the findings of a qualitative study with UK police organisations involved in designing and trialing predictive policing software. Research findings show that many police officers have a detailed awareness of the limitations of predictive technologies, specifically those brought about by errors and biases in input data. This awareness has led many officers to develop a sceptical attitude towards predictive technologies and, in a few cases, these officers have expressed a reluctance to use predictive technologies. Based on these findings, this paper argues that claims about predictive software’s ability to neutralise the subjectivity of police work overlooks the ongoing struggles of the police officer to assert their agency and mediate the extent to which predictions will be trusted and utilised

Discursive constructions of MMOGs and some implications for policy and regulation

This paper examines how the production of interactive, co-creative softwares such as multiplayer online games differs from conventional media production, and how stakeholders employ different discursive constructions to understand those environments. The convergence of forms and functions and the emergence of new structures that cross pre-existent regulatory and policy boundaries mean that the discourses adopted to describe these environments and enact regulation and control need to be examined for the particular interests they represent. The paper canvasses six different discourses about online social softwares such as games, and briefly discusses the implications of each for areas such as intellectual property, classification, governance, data privacy, creative industries and global cross-jurisdictional infrastructures

A renal risk score for ANCA-associated glomerulonephritis

Development and application of statistical models for medical scientific researc

Developments in the Histopathological Classification of ANCA-Associated Glomerulonephritis

Background and objectives The histopathologic classification for ANCA-associated GN distinguishes four classes on the basis of patterns of injury. In the original validation study, these classes were ordered by severity of kidney function loss as follows: focal, crescentic, mixed, and sclerotic. Subsequent validation studies disagreed on outcomes in the crescentic and mixed classes. This study, driven by the original investigators, provides several analyses in order to determine the current position of the histopathologic classification of ANCA-associated GN.Design, setting, participants, & measurements Avalidation study was performed with newly collected data from 145 patients from ten centers worldwide, including an analysis of interobserver agreement on the histopathologic evaluation of the kidney biopsies. This study also included a meta-analysis on previous validation studies and a validation of the recently proposed ANCA kidney risk score.Results The validation study showed that kidney failure at 10-year follow-up was significantly different between the histopathologic classes (P < 0.001). Kidney failure at 10-year follow-up was 14% in the crescentic class versus 20% in the mixed class (P=0.98). In themeta-analysis, no significant difference in kidney failure was also observed when crescentic class was compared with mixed class (relative risk, 1.15; 95% confidence interval, 0.94 to 1.41). When we applied the ANCA kidney risk score to our cohort, kidney survival at 3 years was 100%, 96%, and 77% in the low-, medium-, andhigh-risk groups, respectively (P<0.001). These survival percentages are higher compared with the percentages in the original study.Conclusions The crescentic and mixed classes seem to have a similar prognosis, also after adjusting for differences in patient populations, treatment, and interobserver agreement. However, at this stage, we are not inclined to merge the crescentic and mixed classes because the reported confidence intervals do not exclude important differences in prognosis and because an important histopathologic distinction would be lost.Development and application of statistical models for medical scientific researc