Book Review: Regulating Code : Good Governance and Better Regulation in the Information Age

Digital technologies have profoundly changed not only the ways we create, distribute, access, use and re-use information but also many of the governance structures we had in place. Overall, "older" institutions at all governance levels have grappled and often failed to master the multi-faceted and multi-directional issues of the Internet. Regulatory entrepreneurs have yet to discover and fully mobilize the potential of digital technologies as an influential factor impacting upon the regulability of the environment and as a potential regulatory tool in themselves. At the same time, we have seen a deterioration of some public spaces and lower prioritization of public objectives, when strong private commercial interests are at play, such as most tellingly in the field of copyright. Less tangibly, private ordering has taken hold and captured through contracts spaces, previously regulated by public law. Code embedded in technology often replaces law. Non-state action has in general proliferated and put serious pressure upon conventional state-centered, command-and-control models. Under the conditions of this "messy" governance, the provision of key public goods, such as freedom of information, has been made difficult or is indeed jeopardized.The grand question is how can we navigate this complex multi-actor, multi-issue space and secure the attainment of fundamental public interest objectives. This is also the question that Ian Brown and Chris Marsden seek to answer with their book, Regulating Code, as recently published under the "Information Revolution and Global Politics" series of MIT Press. This book review critically assesses the bold effort by Brown and Marsden.

GetReal in network meta-analysis: a review of the methodology.

Pairwise meta-analysis is an established statistical tool for synthesizing evidence from multiple trials, but it is informative only about the relative efficacy of two specific interventions. The usefulness of pairwise meta-analysis is thus limited in real-life medical practice, where many competing interventions may be available for a certain condition and studies informing some of the pairwise comparisons may be lacking. This commonly encountered scenario has led to the development of network meta-analysis (NMA). In the last decade, several applications, methodological developments, and empirical studies in NMA have been published, and the area is thriving as its relevance to public health is increasingly recognized. This article presents a review of the relevant literature on NMA methodology aiming to pinpoint the developments that have appeared in the field. Copyright © 2016 John Wiley & Sons, Ltd.

Is human herpesvirus 8 infection more common in men than in women? Systematic review and meta-analysis.

All forms of Kaposi sarcoma (KS) are more common in men than in women. It is unknown if this is due to a higher prevalence of human herpesvirus 8 (HHV-8), the underlying cause of KS, in men compared to women. We did a systematic review and meta-analysis to examine the association between HHV-8 seropositivity and gender in the general population. Studies in selected populations like for example, blood donors, hospital patients, and men who have sex with men were excluded. We searched Medline and Embase from January 1994 to February 2015. We included observational studies that recruited participants from the general population and reported HHV-8 seroprevalence for men and women or boys and girls. We used random-effects meta-analysis to pool odds ratios (OR) of the association between HHV-8 and gender. We used meta-regression to identify effect modifiers, including age, geographical region and type of HHV-8 antibody test. We included 22 studies, with 36,175 participants. Men from sub-Saharan Africa (SSA) (OR 1.21, 95% confidence interval [CI] 1.09-1.34), but not men from elsewhere (OR 0.94, 95% CI 0.83-1.06), were more likely to be HHV-8 seropositive than women (p value for interaction=0.010). There was no difference in HHV-8 seroprevalence between boys and girls from SSA (OR 0.90, 95% CI 0.72-1.13). The type of HHV-8 assay did not affect the overall results. A higher HHV-8 seroprevalence in men than women in SSA may partially explain why men have higher KS risk in this region. This article is protected by copyright. All rights reserved.