Geography's debates about how to maintain a sense of morally responsible action often emphasise the problematic nature of caring at a distance, and take for granted particular kinds of moral selfhood in which responsibility is bound into notions of human agency that emphasise knowledge and recognition. Taking commodity consumption as a field in which the ethics, morality, and politics of responsibility has been problematised, we argue that existing research on consumption fails to register the full complexity of the practices, motivations and mechanisms through which the working‐up of moral selves is undertaken in relation to consumption practices. Rather than assuming that ethical decision‐making works through the rational calculation of obligations, we conceptualise the emergence of ethical consumption as ways in which everyday practical moral dispositions are re‐articulated by policies, campaigns and practices that enlist ordinary people into broader projects of social change. Ethical consumption, then, involves both a governing of consumption and a governing of the consuming self. Using the example of Traidcraft , we present a detailed examination of one particular context in which self‐consciously ethical consumption is mediated, suggesting that ethical consumption can be understood as opening up ethical and political considerations in new combinations. We therefore argue for the importance of the growth of ethical consumption as a new terrain of political action, while also emphasising the grounds upon which ethical consumption can be opened up to normative critique.
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This paper brings geographical research on urban policy mobility into conversation with historical research on the transnational municipal movement. It argues that much of conceptual and methodological interest can be found in this second literature, especially in Pierre-Yves Saunier’s research on the ‘Urban International’ of the late 19th and early 20th centuries. It also uses findings from Saunier’s work to identify and highlight salient characteristics and new lines of inquiry regarding contemporary urban policy mobility. These include that urban policy circulation in the 21st century is (dis)organized, geographically extensive, fast, and anti-political.
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Introduction Lung cancer, the leading cause of cancer death worldwide, is often diagnosed at advanced stages leading to a poorer prognosis. Mobile health (mHealth) interventions, which are healthcare technology utilizing mobile or other wireless technology, promise enhanced early detection by optimising lung cancer screening (LCS) implementation. However, their efficacy across various patient demographics and the underlying mechanisms that influence LCS success remain unclear and underexplored. Aim To explore the efficacy of mHealth interventions in promoting LCS uptake, focusing on patient demographics, intervention characteristics, and the underlying mechanisms and contexts influencing their effectiveness. Methods This realist review will employ an iterative literature search in databases such as PubMed, Scopus, Web of Science, and Embase. Selected studies will be assessed for relevance and rigour, extracting data on mHealth features, patient demographics, and intervention outcomes. Data will be analysed thematically to describe relationships between intervention mechanisms, contexts, and outcomes. Additionally, engagement from key stakeholders, including health experts and patients, will be sought during the synthesis phase. Conclusion This review aims to offer a comprehensive understanding of how and why mHealth interventions can influence LCS uptake and be effective across different patient demographics. These findings will provide insights into optimising mHealth interventions for LCS, potentially leading to earlier detections and improved patient outcomes.
Tele-care systems aim to carry out intelligent analyses of a person's wellbeing using data about their daily activities. This is a very challenging task because the massive dataset is likely to be erroneous, possibly with misleading sections due to noise or missing values. Furthermore, the interpretation of the data is highly sensitive to the lifestyle of the monitored person and the environment in which they interact. In our tele-care project, sensor-network domain knowledge is used to overcome the difficulties of monitoring long-term wellbeing with an imperfect data source. In addition, a fuzzy association analysis is leveraged to implement a dynamic and flexible analysis over individual- and environment-dependent data.