Discussions concerning whether there is a natural right to health care may occur in various forms, resulting in policy recommendations for how to implement any such right in a given society. But health care policies may be judged by international standards including the UN Universal Declaration of Human Rights. The rights enumerated in the UDHR are grounded in traditions of moral theory, a philosophical analysis of which is necessary in order to adjudicate the value of specific policies designed to enshrine (...) rights such as a right to health care. We begin with an overview of the drafting of the UDHR and highlight the primary influence of natural law theory in validating the rights contained therein. We then provide an explication of natural law theory by reference to the writings of Thomas Aquinas, as well as elucidate the complementary “capabilities approach” of Martha Nussbaum. We conclude that a right to health care ought to be guaranteed by the state. (shrink)

In this paper, we reflect on the disciplinary contours of contemporary sociology, and social science more generally, in the age of ‘big and broad’ social data. Our aim is to suggest how sociology and social sciences may respond to the challenges and opportunities presented by this ‘data deluge’ in ways that are innovative yet sensitive to the social and ethical life of data and methods. We begin by reviewing relevant contemporary methodological debates and consider how they relate to the emergence (...) of big and broad social data as a product, reflexive artefact and organizational feature of emerging global digital society. We then explore the challenges and opportunities afforded to social science through the widespread adoption of a new generation of distributed, digital technologies and the gathering momentum of the open data movement, grounding our observations in the work of the Collaborative Online Social Media ObServatory project. In conclusion, we argue that these challenges and opportunities motivate a renewed interest in the programme for a ‘public sociology’, characterized by the co-production of social scientific knowledge involving a broad range of actors and publics. (shrink)

Academic dishonesty is an insidious problem that besets most tertiary institutions, where considerable resources are expended to prevent and manage students' dishonest actions within academia. Using a mixed retrospective and prospective design this research investigated Gottfredson and Hirschi's self-control theory as a possible explanation for academic dishonesty in 264 university students. The relationship between academic dishonesty and general criminality was also examined. A significant but small to moderate relationship between academic dishonesty and general criminality was present, including correlations with general (...) dishonesty, violent crime and drug offending subcategories. These findings suggested that a general criminological theory may be of use in explaining academic dishonesty, but the overall ability of self-control variables to explain academic dishonesty was not strong. Controlled logistic regressions indicated that a significant positive association with academic dishonesty was only present for one of 6 self-control subscales (self-centeredness), and even this association was only present in the prospective study component. A strong relationship between past and future academic dishonesty was present. Implications of the study for institutions are discussed. (shrink)

According to objective Bayesianism, an agent’s degrees of belief should be determined by a probability function, out of all those that satisfy constraints imposed by background knowledge, that maximises entropy. A Bayesian net offers a way of efficiently representing a probability function and efficiently drawing inferences from that function. An objective Bayesian net is a Bayesian net representation of the maximum entropy probability function. In this paper we apply the machinery of objective Bayesian nets to breast cancer prognosis. Background knowledge (...) is diverse and comes from several different sources: a database of clinical data, a database of molecular data, and quantitative data from the literature. We show how an objective Bayesian net can be constructed from this background knowledge and how it can be applied to yield prognoses and aid translation of clinical knowledge to genomics research. (shrink)

The development and deployment of artificial intelligence (AI) is and will profoundly reshape human society, the culture and the composition of civilisations which make up human kind. All technological triggers tend to drive a hype curve which over time is realised by an output which is often unexpected, taking both pessimistic and optimistic perspectives and actions of drivers, contributors and enablers on a journey where the ultimate destination may be unclear. In this paper we hypothesise that this journey is not (...) dissimilar to the personal journey described by the Kubler-Ross change curve and illustrate this by commentary on the potential of AI for drug discovery, development and healthcare and as an enabler for deep space exploration and colonisation. Recent advances in the call for regulation to ensure development of safety measures associated with machine-based learning are presented which, together with regulation of the rapidly emerging digital after-life industry, should provide a platform for realising the full potential benefit of AI for the human species. (shrink)