The Problematic of Privacy in the Namespace

In the twenty-first century, the issue of privacy--particularly the privacy of individuals with regard to their personal information and effects--has become highly contested terrain, producing a crisis that affects both national and global social formations. This crisis, or problematic, characterizes a particular historical conjuncture I term the namespace. Using cultural studies and the theory of articulation, I map the emergent ways that the namespace articulates economic, juridical, political, cultural, and technological forces, materials, practices and protocols. The cohesive articulation of the namespace requires that privacy be reframed in ways that make its diminution seem natural and inevitable. In the popular media, privacy is often depicted as the price we pay as citizens and consumers for security and convenience, respectively. This discursive ideological shift supports and underwrites the interests of state and corporate actors who leverage the ubiquitous network of digitally connected devices to engender a new regime of informational surveillance, or dataveillance. The widespread practice of dataveillance represents a strengthening of the hegemonic relations between these actors--each shares an interest in promoting an emerging surveillance society, a burgeoning security politics, and a growing information economy--that further empowers them to capture and store the personal information of citizens/consumers. In characterizing these shifts and the resulting crisis, I also identify points of articulation vulnerable to rearticulation and suggest strategies for transforming the namespace in ways that might empower stronger protections for privacy and related civil rights

Teaching data science and cloud computing in low and middle income countries

Large, publicly available data sets present a challenge and an opportunity for researchers based in Low and Middle Income Countries (LMIC). The challenge for these researchers is how they can make use of such data sets given their poor connectivity and infrastructure. The opportunity is the ability to perform leading edge research using these data sets and hence avoid having to invest substantial resources in generating the data sets. The offshoot of this will be to generate solutions to the substantial local problems encountered in these countries and create an educated workforce in data science. Cloud computing in particular may well close the infrastructural gap here. In this paper we discuss our experiences of teaching a variety of summer schools on data intensive analysis in bioinformatics in China, Namibia and Malaysia. On the basis of these experiences we propose that a larger series of summer schools in data science and cloud computing in LMIC would create a cadre of data scientists to start this process. We finally discuss the possibility of the provision of cloud computing resources where the usage costs are controlled so that it is affordable for LMIC researchers

Causal estimation of long-term intervention cost-effectiveness using genetic instrumental variables: an application to cancer

Background: This article demonstrates a means of assessing long-term intervention cost-effectiveness in the absence of data from randomized controlled trials and without recourse to Markov simulation or similar types of cohort simulation. Methods: Using a Mendelian randomization study design, we developed causal estimates of the genetically predicted effect of bladder, breast, colorectal, lung, multiple myeloma, ovarian, prostate, and thyroid cancers on health care costs and quality-adjusted life-years (QALYs) using outcome data drawn from the UK Biobank cohort. We then used these estimates in a simulation model to estimate the cost-effectiveness of a hypothetical population-wide preventative intervention based on a repurposed class of antidiabetic drugs known as sodium-glucose cotransporter-2 (SGLT2) inhibitors very recently shown to reduce the odds of incident prostate cancer. Results: Genetic liability to prostate cancer and breast cancer had material causal impacts on either or both health care costs and QALYs. Mendelian randomization results for the less common cancers were associated with considerable uncertainty. SGLT2 inhibition was unlikely to be a cost-effective preventative intervention for prostate cancer, although this conclusion depended on the price at which these drugs would be offered for a novel anticancer indication. Implications: Our new causal estimates of cancer exposures on health economic outcomes may be used as inputs into decision-analytic models of cancer interventions such as screening programs or simulations of longer-term outcomes associated with therapies investigated in randomized controlled trials with short follow-ups. Our method allowed us to rapidly and efficiently estimate the cost-effectiveness of a hypothetical population-scale anticancer intervention to inform and complement other means of assessing long-term intervention value

Safety justification of healthcare applications using synthetic datasets

Background: Increasing numbers of intelligent healthcare applications are developed by analysing big data, on which they are trained. It is necessary to assure that such applications will be safe for patients; this entails validation against datasets. But datasets cannot be shared easily, due to privacy, and consent issues, resulting in delaying innovation. Realistic Synthetic Datasets (RSDs), equivalent to the real datasets, are seen as a solution to this. Objective: To develop the outline for safety justification of an application, validated with an RSD, and identify the safety evidence the RSD developers will need to generate. Method: Assurance case argument development approaches were used, including high level data related risk identification. Result: An outline of the justification of such applications, focusing on the contribution of the RSD. Conclusions: Use of RSD will require specific arguments and evidence, which will affect the adopted methods. Mutually supporting arguments can result in a compelling justification

The effects of cash transfers and vouchers on the use and quality of maternity care services: a systematic review

Background Cash transfers and vouchers are forms of 'demand-side financing' that have been widely used to promote maternal and newborn health in low- and middle-income countries during the last 15 years. Methods This systematic review consolidates evidence from seven published systematic reviews on the effects of different types of cash transfers and vouchers on the use and quality of maternity care services, and updates the systematic searches to June 2015 using the Joanna Briggs Institute approach for systematic reviewing. The review protocol for this update was registered with PROSPERO (CRD42015020637). Results Data from 51 studies (15 more than previous reviews) and 22 cash transfer and voucher programmes suggest that approaches tied to service use (either via payment conditionalities or vouchers for selected services) can increase use of antenatal care, use of a skilled attendant at birth and in the case of vouchers, postnatal care too. The strongest evidence of positive effect was for conditional cash transfers and uptake of antenatal care, and for vouchers for maternity care services and birth with a skilled birth attendant. However, effects appear to be shaped by a complex set of social and healthcare system barriers and facilitators. Studies have typically focused on an initial programme period, usually two or three years after initiation, and many lack a counterfactual comparison with supply-side investment. There are few studies to indicate that programmes have led to improvements in quality of maternity care or maternal and newborn health outcomes. Conclusion Future research should use multiple intervention arms to compare cost-effectiveness with similar investment in public services, and should look beyond short- to medium-term service utilisation by examining programme costs, longer-term effects on service utilisation and health outcomes, and the equity of those effects

Living in the wasteland : character, worldbuilding and humanism in the Mad Max series

The long-running Mad Max series is a seminal entry in the contemporary western science fiction canon, particularly within the post-apocalyptic subgenre. This thesis argues that a major reason for the series’ enduring success is that it is a fundamentally humanist text. It further argues that Mad Max’s humanism is identifiable and trackable through the construction of its characters and the world they inhabit across the four films in the series. Subjects of analysis include the films themselves, as well as several books written on and about them.Radio-Television-Fil

Distinguishing Oceans of Water from Magma on Mini-Neptune K2-18b

Mildly irradiated mini-Neptunes have densities potentially consistent with them hosting substantial liquid-water oceans ("Hycean" planets). The presence of CO2 and simultaneous absence of ammonia (NH3) in their atmospheres has been proposed as a fingerprint of such worlds. JWST observations of K2-18b, the archetypal Hycean, have found the presence of CO2 and the depletion of NH3 to 4 μm region, where CO2 and CO features dominate: magma ocean models suggest a systematically lower CO2/CO ratio than estimated from free-chemistry retrieval, indicating that deeper observations of this spectral region may be able to distinguish between oceans of liquid water and magma on mini-Neptunes