625 research outputs found

    Organizational cognitive neuroscience – potential (non-) implications for practice

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    Purpose: The purpose of this paper is to highlight the potential implications and non-implications for leadership and organization development of a recent systematic review of empirical developments in organizational cognitive neuroscience (OCN). Design/methodology/approach: Butler et al.’s (2016) systematic review of 40 empirical articles related to OCN is re-interpreted in terms of its potential to reveal (non-) implications for practice. OCN is critically discussed, then related to the research findings from studies with two methodological designs. Findings: At this stage of OCN’s emergence, it appears that neuroimaging and physiology-based research methods have equal potential in their implications for practice, though hormonal data poses ethical public interest dilemmas. Both methods cannot be reduced to specific forms of application to practice, but they set an aspirational direction for the future development of leadership and organizations. Practical implications: There appear to be two paces of translational activity – practitioners are moving more quickly than academics in applying OCN to practice. It is suggested that a meeting of minds may be needed to ensure that any risks associated with applying OCN to practice are minimized or eliminated. Social implications: Inter-disciplinary research, like OCN, requires a social consensus about how basic research in cognitive neuroscience can be applied to organizations. A think tank will provide opportunities for deeper engagement and co-production between academics and practitioners. Originality/value: Critically exploring the potential implications of OCN for practice, by basing the discussion on a systematic review of empirical developments

    Sociology of low expectations: Recalibration as innovation work in biomedicine

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    "This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm). "Social scientists have drawn attention to the role of hype and optimistic visions of the future in providing momentum to biomedical innovation projects by encouraging innovation alliances. In this article, we show how less optimistic, uncertain, and modest visions of the future can also provide innovation projects with momentum. Scholars have highlighted the need for clinicians to carefully manage the expectations of their prospective patients. Using the example of a pioneering clinical team providing deep brain stimulation to children and young people with movement disorders, we show how clinicians confront this requirement by drawing on their professional knowledge and clinical expertise to construct visions of the future with their prospective patients; visions which are personalized, modest, and tainted with uncertainty. We refer to this vision-constructing work as recalibration, and we argue that recalibration enables clinicians to manage the tension between the highly optimistic and hyped visions of the future that surround novel biomedical interventions, and the exigencies of delivering those interventions in a clinical setting. Drawing on work from science and technology studies, we suggest that recalibration enrolls patients in an innovation alliance by creating a shared understanding of how the “effectiveness” of an innovation shall be judged.This project was funded by the Wellcome Trust (Wellcome Trust Biomedical Strategic Award 086034)

    Ethical and legal issues in mitochondrial transfer

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    The US National Academies of Science, Engineering and Medicine recently provided conditional endorsement for mitochondrial transfer. While its approach is more conservative in some respects than that of the United Kingdom (which passed its own regulations in 2015 ), it marks a significant policy development for a potentially large implementer of this emerging intervention. In this perspective, we consider some of the ethical and legal aspects of these policy responses

    Governing in the Context of Uncertainty

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    Kaebnick, Gusmano, and Murray tackle some important issues raised by the emerging field of synthetic biology. Many of these issues arise pre­cisely because synthetic biology is still emerging, making it hard, if not impossible, to predict how the technology will pan out. In the context of this uncertainty, Kaebnick, Gusmano, and Murray imply, we may have to change our familiar patterns of thinking and governing. It is this point that I elaborate on here. I argue that if we embrace the distinctive characteris­tics of emerging biotechnologies, we can shift away from attempts to analyze the risks and benefits of technologi­cal developments and toward discussions of the moti­vations and purposes that drive them in the first place. This perspective gives us a solid rationale for public and stakeholder engagement (or “democratic deliberation,” as Kaebnick et al. call it) and helps us address some of the concerns Kaebnick and colleagues raise about how this engagement should be organized

    Just how difficult can it be counting up R&D funding for emerging technologies (and is tech mining with proxy measures going to be any better?)

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    Decision makers considering policy or strategy related to the development of emerging technologies expect high quality data on the support for different technological options. A natural starting point would be R&D funding statistics. This paper explores the limitations of such aggregated data in relation to the substance and quantification of funding for emerging technologies. Using biotechnology as an illustrative case, we test the utility of a novel taxonomy to demonstrate the endemic weaknesses in the availability and quality of data from public and private sources. Using the same taxonomy, we consider the extent to which tech-mining presents an alternative, or potentially complementary, way to determine support for emerging technologies using proxy measures such as patents and scientific publications

    Understanding the care.data conundrum: new information flows for economic growth

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    The analysis of data from electronic health records aspires to facilitate healthcare efficiencies and biomedical innovation. There are also ethical, legal and social implications from the handling of sensitive patient information. The paper explores the concerns, expectations and implications of the National Health Service (NHS) England care.data programme: a national data sharing initiative of linked electronic health records for healthcare and other research purposes. Using Nissenbaum’s contextual integrity of privacy framework through a critical science and technology studies (STS) lens, it examines the way technologies and policies are developed to promote sustainability, governance and economic growth as the de facto social values, while reducing privacy to an individualistic preference. The state, acting as a new, central data broker reappropriates public ownership rights and establishes those information flows and transmission principles that facilitate the assetisation of NHS datasets for the knowledge economy. Various actors and processes from other contexts attempt to erode the public healthcare sector and privilege new information recipients. However, such data sharing initiatives in healthcare will be resisted if we continue to focus only on the monetary and scientific values of these datasets and keep ignoring their equally important social and ethical values
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