Degeneracy is a poorly understood process, essential to natural selection. In the 18th and 19th centuries, the concept of degeneracy was commandeered by the colonial imagination. A rigid understanding of species, race, and culture grew to dominate the normative thinking that persisted well into the burgeoning new industrial age. A 20th-century reconfiguration of the concept by George Gamow highlighted a form of intraorganismic variation that is still underexplored. Degeneracy exists in a population of variants where structurally different components perform a (...) similar, but not necessarily identical, function with respect to context. The presence of degeneracy increases a system’s complexity and robustness against perturbations. The loss of a genetic component in biological systems, for example, can be compensated by redundant elements , or by degenerate elements . A historical survey of the use of the term “degeneracy” reveals how and why the processes it once designated, and the mechanisms it now represents, have largely escaped the purview of contemporary science. Despite confusion and general oversight, degeneracy has been characterized by select researchers at the molecular, genetic, and neuronal levels. The concept is a potent analytical tool to understand selection, variation, and transmission. (shrink)

Biomedical innovation and translation are increasingly emphasizing research using “big data.” The hope is that big data methods will both speed up research and make its results more applicable to “real-world” patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, (...) and data analysis techniques. While such advances will likely go some way towards resolving technical and methodological issues, we believe that the epistemological issues raised by big data research have important ethical implications and raise questions about the very possibility of big data research achieving its goals. (shrink)

BackgroundBiobanks provide an important foundation for genomic and personalised medicine. In order to enhance their scientific power and scope, they are increasingly becoming part of national or international networks. Public trust is essential in fostering public engagement, encouraging donation to, and facilitating public funding for biobanks. Globalisation and networking of biobanking may challenge this trust.MethodsWe report the results of an Australian study examining public attitudes to the networking and globalisation of biobanks. The study used quantitative and qualitative methods in conjunction (...) with bioethical analysis in order to determine factors that may contribute to, and threaten, trust.ResultsOur results indicate a generally high level of trust in biobanks and in medical research more broadly. Key factors that can reduce perceived trustworthiness of biobanks are commercialisation and involvement in global networking.ConclusionsWe conclude that robust ethical oversight and governance standards can both promote trust in global biobanking and ensure that this trust is warranted. (shrink)

In this Symposium on the Ethics and Epistemology of Big Data, we present four perspectives on the ways in which the rapid growth in size of research databanks—i.e. their shift into the realm of “big data”—has changed their moral, socio-political, and epistemic status. While there is clearly something different about “big data” databanks, we encourage readers to place the arguments presented in this Symposium in the context of longstanding debates about the ethics, politics, and epistemology of biobank, database, genetic, and (...) epidemiological research. (shrink)

In this Symposium on the Ethics and Epistemology of Big Data, we present four perspectives on the ways in which the rapid growth in size of research databanks—i.e. their shift into the realm of “big data”—has changed their moral, socio-political, and epistemic status. While there is clearly something different about “big data” databanks, we encourage readers to place the arguments presented in this Symposium in the context of longstanding debates about the ethics, politics, and epistemology of biobank, database, genetic, and (...) epidemiological research. (shrink)

The case outlined below is the basis for the In That Case section of the “Ethics and Epistemology of Big Data” symposium. Jordan receives reports from two separate personal genomic tests that provide intriguing data about ancestry and worrying but ambiguous data about the potential risk of developing Alzheimer’s disease. What began as a personal curiosity about genetic inheritance turns into an alarming situation of medical uncertainty. Questions about Jordan’s family tree are overshadowed by even more questions about Alzheimer’s disease (...) and healthy ageing. As a parent, Jordan is unsure whether to share these results and what it would mean for their children to learn about their genetic inheritance and potential future health. Furthermore, Jordan is unsure how to make sense of these reports in light of current knowledge of the risk factors for Alzheimer’s disease and in the absence of effective treatments or robust preventative guidelines. (shrink)

A passionate defence of humanity and a work of radical optimism from the international bestselling author of Postcapitalism How do we preserve what makes us human in an age of uncertainty? Are we now just consumers shaped by market forces? A sequence of DNA? A collection of base instincts? Or will we soon be supplanted by algorithms and A.I. anyway? In Clear Bright Future, Paul Mason calls for a radical, impassioned defence of the human being, our universal rights and freedoms (...) and our power to change the world around us. Ranging from economics to Big Data, from neuroscience to the culture wars, he draws from his on-the-ground reporting from mass protests in Istanbul to riots in Washington, as well as his own childhood in an English mining community, to show how the notion of humanity has become eroded as never before. In this book Paul Mason argues that we are still capable - through language, innovation and co-operation - of shaping our future. He offers a vision of humans as more than puppets, customers or cogs in a machine. This work of radical optimism asks: Do you want to be controlled? Or do you want something better? (shrink)

With attention to the experiences, agency, and rights of tuberculosis patients, this symposium on TB and ethics brings together a range of different voices from the social sciences and humanities. To develop fresh insights and new approaches to TB care and prevention, it is important to incorporate diverse perspectives from outside the strictly biomedical model. In the articles presented in this issue of the Journal of Bioethical Inquiry, clinical experience is married with historical and cultural context, ethical concerns are brought (...) to bear on global health, and structural analyses shed light upon the lived experience of people living with TB. The relational and reciprocal dimensions of care feature strongly in these discussions, which serve as a poignant reminder that behind each of the yearly deaths from TB is a deeply personal story. No single discipline holds a monopoly on how to care for each of these people, but strong cases are made for support from mental health and social workers in addressing the kaleidoscope of needs in TB prevention. As the World Health Organization moves towards the goal of eliminating TB globally by 2050, attending to the needs of TB patients serves global interests to lower disease burden and to develop better integrated communities worldwide. (shrink)

Biobanks are increasingly being linked together into global networks in order to maximise their capacity to identify causes of and treatments for disease. While there is great optimism about the potential of these biobank networks to contribute to personalised and data-driven medicine, there are also ethical concerns about, among other things, risks to personal privacy and exploitation of vulnerable populations. Concepts drawn from theories of globalisation can assist with the characterisation of the ethical implications of biobank networking across borders, which (...) can, in turn, inform more ethically sophisticated responses. Using the China Kadoorie Biobank as a case study, we show how distinguishing between the subnational, transnational, supranational and extranational spheres of operation and influence can help researchers, institutions and regulators to understand and manage the ethical issues raised by the globalisation of biobanking. (shrink)

If James has a latent tuberculosis infection , he is at risk of developing active tuberculosis disease but he is not yet sick. LTBI is a liminal space between health and illness. Diagnosed with LTBI, James could be conceptualised as having a liminal body. Treatments for LTBI are available, but why would a person seek treatment for a disease he does not yet have? One thing is definite: James needs to be educated about the symptoms and severity of active tuberculosis (...) disease. (shrink)

The availability of diverse sources of data related to health and illness from various types of modern communication technology presents the possibility of augmenting medical knowledge, clinical care, and the patient experience. New forms of data collection and analysis will undoubtedly transform epidemiology, public health, and clinical practice, but what ethical considerations come in to play? With a view to analysing the ethical and regulatory dimensions of burgeoning forms of biomedical big data, Brent Daniel Mittelstadt and Luciano Floridi have brought (...) together thirty scholars in an edited volume that forms part of Springer’s Law, Governance and Technology book series in a collection titled The Ethics of Biomedical Big Data. With eighteen chapters partitioned into six carefully devised sections, this volume engages with core theoretical, ethical, and regulatory challenges posed by biomedical big data. (shrink)

The availability of diverse sources of data related to health and illness from various types of modern communication technology presents the possibility of augmenting medical knowledge, clinical care, and the patient experience. New forms of data collection and analysis will undoubtedly transform epidemiology, public health, and clinical practice, but what ethical considerations come in to play? With a view to analysing the ethical and regulatory dimensions of burgeoning forms of biomedical big data, Brent Daniel Mittelstadt and Luciano Floridi have brought (...) together thirty scholars in an edited volume that forms part of Springer’s Law, Governance and Technology book series in a collection titled The Ethics of Biomedical Big Data. With eighteen chapters partitioned into six carefully devised sections, this volume engages with core theoretical, ethical, and regulatory challenges posed by biomedical big data. (shrink)