This book explores how and why some people and practices are made invisible in science, featuring 25 case studies and commentaries that explore how invisibility can bolster or undermine credibility, how race, gender, class, and nation frame who can see what, how invisibility empowers and marginalizes, and the epistemic ramifications of concealment.

"Demographic and technological trends have yielded new forms of work that are increasingly more precarious, globalized, and brand centered. Some of these shifts have led to a marked decrease in the visibility of work or workers. This edited collection examines situations in which technology and employment practices hide labor within the formal paid labor market, with implications for workplace activism, social policy, and law. In some cases, technological platforms, space, and temporality hide workers and sometimes obscure their tasks as well. In other situations, workers may be highly visible--indeed, the employer may rely upon the workers' aesthetics to market the branded product--but their aesthetic labor is not seen as work. In still other cases, the work occurs within a social interaction and appears as leisure--a voluntary or chosen activity--rather than as work. Alternatively, the workers themselves may be conceptualized as consumers rather than as workers. Crossing the occupational hierarchy and spectrum from high- to low-waged work, from professional to manual labor, and from production to service labor, the authors argue for a broader understanding of labor in the contemporary era. This book adopts an interdisciplinary approach that integrates perspectives from law, sociology, and industrial/labor relations"--Provided by publisher.

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

Nursing is typically understood, and understands itself, as a care-giving occupation. It is through its relationships with patients – whether these are absent, present, good, bad or indifferent – that modern day nursing is defined. Yet nursing work extends far beyond direct patient care activities. Across the spectrum of locales in which they are employed, nurses, in numerous ways, support and sustain the delivery and organisation of health services. In recent history, however, this wider work has generally been regarded as at best an adjunct to the core nursing function, and at worse responsible for taking nurses away from their ‘real work’ with patients. Beyond its identity as the ‘other’ to care-giving, little is known about this element of nursing practice. Drawing on extensive observational research of the everyday work in a UK hospital, and insights from practice-based approaches and actor network theory, the aim of this book is to lay the empirical and theoretical foundations for a reappraisal of the nursing contribution to society by shining a light on this invisible aspect of nurses’ work. Nurses, it is argued, can be understood as focal actors in health systems and through myriad processes of ‘translational mobilisation’ sustain the networks through which care is organised. Not only is this work an essential driver of action, it also operates as a powerful countervailing force to the centrifugal tendencies inherent in healthcare organisations which, for all their gloss of order and rationality, are in reality very loose arrangements. The Invisible Work of Nurses will be interest to academics and students across a number of fields, including nursing, medical sociology, organisational studies, health management, science and technology studies, and improvement science.

In Art Work, Katja Praznik counters the Western understanding of art – as a passion for self-expression and an activity done out of love, without any concern for its financial aspects – and instead builds a case for understanding art as a form of invisible labour. Focusing on the experiences of art workers and the history of labour regulation in the arts in socialist Yugoslavia, Praznik helps elucidate the contradiction at the heart of artistic production and the origins of the mystification of art as labour. This profoundly interdisciplinary book highlights the Yugoslav socialist model of culture as the blueprint for uncovering the interconnected aesthetic and economic mechanisms at work in the exploitation of artistic labour. It also shows the historical trajectory of how policies toward art and artistic labour changed by the end of the 1980s. Calling for a fundamental rethinking of the assumptions behind Western art and exploitative labour practices across the world, Art Work will be of interest to scholars in East European studies, art theory, and cultural policy, as well as to practicing artists.

Industrial methods, and industrially produced instruments, reagents and living organisms are central to research activities today. They play a key role in the homogenization and the diffusion of laboratory practices, thus in their transformation into a stable and unproblematic knowledge about the natural world. This book displays the - frequently invisible - role of industry in the construction of fundamental scientific knowledge through the examination of case studies taken from the history of nineteenth and the twentieth century physics, chemistry and biomedical sciences.

Across early modern Europe, men and women from all ranks gathered medical, culinary, and food preservation recipes from family and friends, experts and practitioners, and a wide array of printed materials. Recipes were tested, assessed, and modified by teams of householders, including masters and servants, husbands and wives, mothers and daughters, and fathers and sons. This much-sought know-how was written into notebooks of various shapes and sizes forming “treasuries for health,” each personalized to suit the whims and needs of individual communities. In Recipes and Everyday Knowledge, Elaine Leong situates recipe knowledge and practices among larger questions of gender and cultural history, the history of the printed word, and the history of science, medicine, and technology. The production of recipes and recipe books, she argues, were at the heart of quotidian investigations of the natural world or “household science”. She shows how English homes acted as vibrant spaces for knowledge making and transmission, and explores how recipe trials allowed householders to gain deeper understandings of sickness and health, of the human body, and of natural and human-built processes. By recovering this story, Leong extends the parameters of natural inquiry and productively widens the cast of historical characters participating in and contributing to early modern science.