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One of the aspects that characterises neoliberal societies is the increasing attribution of individual responsibility. Citizens are required to commit themselves to adopting ‘appropriate’ lifestyles and to self-managing their health. Individual responsibility translates into a set of knowledge and techniques of self-governance, through which individuals learn and are expected to act in an increasingly autonomous way in order to prevent or mitigate health risks. This fostering of self-governance and individual responsibility affects both children and adults; in accordance with it, adults are required to transmit a sort of model of “pedagogy of responsibility” (Neyrand & Mekboul, 2014), through which children learn to acquire self-management of their health. This scenario becomes complicated if we take into consideration the two usual and contrasting representations of childhood in western societies: children as active subjects, or children as vulnerable subjects. Our work explores these contrasting representations through the narrations of adults and children of their experiences of Type 1 Diabetes.

We are currently experiencing, in western societies, a new reality in health systems, the emergence of an epidemic of chronic diseases, which test and raise new challenges to the health systems. This exponential increase in chronic diseases has not been accompanied by updated training of health professionals in this area. The chronic illness implies a bilateral relationship, of commitment and compromise for life, in which the involvement of the sick person must be the rule. The scope of therapeutic education (TE) is making the person autonomous and helping them to maintain or improve their quality of life. To treat patients with chronic disease, health professionals need to adapt their knowledge to their new role in the therapeutic relationship. As for the methodology, a participative observational methodology will be carried out with the training of health professionals who work in this area. It is a descriptive work based on studies and works published by the main schools working in this area, with emphasis on the School of Geneve. The purpose is to identify the problem of chronic diseases, the challenges that patients and health professionals face and how to build educational projects, exploring the use of educational tools, including digital technology.

Modern funding channels that supplement established mediators may present cybersecurity problems. Traditional investors work with artificial intelligence. In this chapter, the focus is on digitalization in the context of entrepreneurial finance. Crowdfunding platforms have become an alternative to meet the funding needs of entrepreneurs. Crowdfunding platforms have become an alternative for individuals who want to support social entrepreneurs and social enterprises because the financing of initiatives on the solution of social problems is provided by governments, companies and non-profit institutions. Literature shows that equal opportunities and benefits for disadvantaged groups can be created by social entrepreneurship. A snowball effect can be created by each project made to create social impact.

Drawing on ethnographic observations of diabetes (self-)management in French-speaking Switzerland and semi-structured interviews with healthcare practitioners, people living with diabetes and their relatives, the chapter aims at shedding light on self-tracking practices of people living with diabetes. It explores the ways people with diabetes measure and learn to recognise body symptoms of hypo- and hyperglycaemia through self-quantification, and act consequently. In particular, the chapter investigates recent medical devices – continuous and flash glucose monitoring systems – that reconfigure the work of health providers and self-care practices. It shows the self-monitoring practices and the resulting self-awareness people living with diabetes develop in interaction with technology and caregivers in order to undertake embodied actions. By pointing out that new technologies have facilitated the access to personal body information and the sharing of it, self-monitoring is also questioned as a form of surveillance, opening up issues of power and control over patients’ behaviours. With regard to this, the chapter illustrates that, occasionally, people with diabetes resist ‘docility’ through micro-powers at the level of everyday life by refusing to engage in their use and by developing personal strategies or ‘tactics’.

The purpose of this chapter is to review and synthesise the available evidence for the health benefits of walking. It follows a non-systematic evidence review and finds that the evidence base for the health benefits of walking is growing. Increasingly we are finding strong evidence for the beneficial effects of walking for both individuals and populations. More evidence is required on how to better understand the health outcomes associated with walking and how to promote long term increases in walking behaviour. Systematic reviews of specific health benefits remain rare. Walking should be promoted in all population groups regardless of age or sex. There are currently few existing integrative syntheses of the physical and mental health outcomes associated with walking and this chapter aims to help fill that gap.

This paper explores the potential of Henri Lefebvre's rhythmanalysis to understand data as an appearance assumed by the quantitative abstraction of everyday life, which negates a qualitative disjuncture between different natural and social rhythms – specifically those between embodied circadian and biological rhythms and the rhythms of working life. It takes as a case study a prototype performance research method investigating the methodological and practical potential of quantified self technologies to reconnect the body to its forms of abstraction in a digital age by means of the collection, interpretation and sonification of data using wearable tech, mobile apps, synthesised music and modes of visual communication. Quantitative data were selectively ‘sonified’ with synthesisers and drum machines to produce a 40-minute electronic symphony performed to a public audience. The paper theorises the project as an intervention reconnecting quantitative data with the qualitative experience it abstracts from, exploring the potential for these technologies to be used as tools of remediation that recover the embodied social subject from its abstraction in data for critical self-knowledge and understanding.

After a vigorous debate in the late 1970s, the sociology of emotion put aside most discussion of whether or not the physiological arousal associated with emotion labels is differentiated. Since this early period, scholars have made great progress on two fronts. First, theories about the interrelationship of identity, action and emotion have specified a family of new concepts related to emotion. Second, a large corpus of research on the physiological correlates of emotional experience emerged. In this chapter, we review the well-developed control theories of identity and emotion, and focus on the key concepts that might relate to different physiological states. We then review the general classes of physiological measures, discussing their reliability, intrusiveness and other features that might determine their usefulness for tracking responses to social interaction. We then offer a highly provisional mapping of physiological measures onto the concepts that they might potentially measure, given past research about how these physiological processes relate to environmental stimuli. While any linkage between concepts and measures must be speculative at this point, we hope that this review will serve as a stimulus to theoretically guided research that begins to assess the validity of these new measures for sociological use.

The preponderance of studies that rely on self-report for both independent (e.g. stressors) and dependent (e.g. well-being) variables is often deplored, as it creates problems of common method variance, which may lead to inflated, or even spurious, correlations and predictions. It is sometimes suggested that alternative measures should yield more “objective” information on the phenomena under investigation. We discuss this issue with regard to: (a) observational measures of working conditions; (b) physiological measures of strain; and (c) event-based “self-observation” on a micro-level. We argue that these methods are not necessarily “objective.” Like self-report, they are influenced by a plethora of factors; and measurement artifacts can easily be produced. All this can make their interpretation quite difficult, and the conclusion that lack of convergence with self-report automatically invalidates self-report is not necessarily warranted. Especially with regard to physiological measures, one has to keep in mind that they refer to a different response level that follows its own laws and is only loosely coupled with psychological responses. Therefore, replacement is not a promising way to get more reliable estimates of stressor-strain relationships. We argue instead that each method contains both substantive and error variance, and that a combination of various methods seems more auspicious. After discussing advantages and pitfalls of observational, physiological, and self-observational measures, respectively, we report empirical examples from our own research on each of these methods, which are meant to illustrate both the advantages and the problems associated with them. They strengthen the overall conclusion that there is no “substitute” for self-report (which often is necessary to be able to interpret data from other methods, most notably physiological ones). They also illustrate that collecting such data is quite cumbersome, and that a number of conditions have to be carefully considered before using them, and we report some problems we encountered in this research. Altogether, we conclude that self-report measures, if carefully constructed, are better than their reputation, but that the optimal way is to complement them with other measures.