In Building the Trident Network, Maggie Mort approaches the United Kingdom's Trident submarine and missile system as a sociotechnical network. Drawing on the sociology of scientific and technical knowledge and on actor-network theory, Mort recounts how the Trident program was stabilized in the United Kingdom and brought into "successful" production. She uncovers the nature of this success by retelling unofficial histories of Trident, of production roads not taken, and of potential technological "distractions." The production of Trident, she shows, was not inevitable but contingent and problematic. Using material from interviews and local texts, Mort explores the emergence of a counternetwork in the form of a workers' campaign for alternative technologies. She develops concepts of "disenrollment" and "absent intermediaries," in which redundant workers and marginalized technologies serve to discipline and reinforce the dominant network as production shrinks. She also examines the maintenance of the barrier between the technical and the social/political in this context. The management of uncertainties within the Trident production program emerges as critical to its successful completion.

How technologies can get it wrong in sports, and what the consequences are—referees undermined, fans heartbroken, and the illusion of perfect accuracy maintained. Good call or bad call, referees and umpires have always had the final say in sports. Bad calls are more visible: plays are televised backward and forward and in slow motion. New technologies—the Hawk-Eye system used in tennis and cricket, for example, and the goal-line technology used in English football—introduced to correct bad calls sometimes get it right and sometimes get it wrong, but always undermine the authority of referees and umpires. Bad Call looks at the technologies used to make refereeing decisions in sports, analyzes them in action, and explains the consequences. Used well, technologies can help referees reach the right decision and deliver justice for fans: a fair match in which the best team wins. Used poorly, however, decision-making technologies pass off statements of probability as perfect accuracy and perpetuate a mythology of infallibility. The authors re-analyze three seasons of play in English Premier League football, and discover that goal line technology was irrelevant; so many crucial wrong decisions were made that different teams should have won the Premiership, advanced to the Champions League, and been relegated. Simple video replay could have prevented most of these bad calls. (Major League baseball learned this lesson, introducing expanded replay after a bad call cost Detroit Tigers pitcher Armando Galarraga a perfect game.) What matters in sports is not computer-generated projections of ball position but what is seen by the human eye—reconciling what the sports fan sees and what the game official sees.

How the breeding of new animals and plants was central to fascist regimes in Italy, Portugal, and Germany and to their imperial expansion. In the fascist regimes of Mussolini's Italy, Salazar's Portugal, and Hitler's Germany, the first mass mobilizations involved wheat engineered to take advantage of chemical fertilizers, potatoes resistant to late blight, and pigs that thrived on national produce. Food independence was an early goal of fascism; indeed, as Tiago Saraiva writes in Fascist Pigs, fascists were obsessed with projects to feed the national body from the national soil. Saraiva shows how such technoscientific organisms as specially bred wheat and pigs became important elements in the institutionalization and expansion of fascist regimes. The pigs, the potatoes, and the wheat embodied fascism. In Nazi Germany, only plants and animals conforming to the new national standards would be allowed to reproduce. Pigs that didn't efficiently convert German-grown potatoes into pork and lard were eliminated. Saraiva describes national campaigns that intertwined the work of geneticists with new state bureaucracies; discusses fascist empires, considering forced labor on coffee, rubber, and cotton in Ethiopia, Mozambique, and Eastern Europe; and explores fascist genocides, following Karakul sheep from a laboratory in Germany to Eastern Europe, Libya, Ethiopia, and Angola. Saraiva's highly original account—the first systematic study of the relation between science and fascism—argues that the “back to the land” aspect of fascism should be understood as a modernist experiment involving geneticists and their organisms, mass propaganda, overgrown bureaucracy, and violent colonialism.

Benoît Godin is a Professor at the Institut national de la recherche scientifique, Montreal. Models abound in science, technology, and society (STS) studies and in science, technology, and innovation (STI) studies. They are continually being invented, with one author developing many versions of the same model over time. At the same time, models are regularly criticized. Such is the case with the most influential model in STS-STI: the linear model of innovation. In this book, Benoît Godin examines the emergence and diffusion of the three most important conceptual models of innovation from the early twentieth century to the late 1980s: stage models, linear models, and holistic models. Godin first traces the history of the models of innovation constructed during this period, considering why these particular models came into being and what use was made of them. He then rethinks and debunks the historical narratives of models developed by theorists of innovation. Godin documents a greater diversity of thinkers and schools than in the conventional account, tracing a genealogy of models beginning with anthropologists, industrialists, and practitioners in the first half of the twentieth century to their later formalization in STS-STI. Godin suggests that a model is a conceptualization, which could be narrative, or a set of conceptualizations, or a paradigmatic perspective, often in pictorial form and reduced discursively to a simplified representation of reality. Why are so many things called models? Godin claims that model has a rhetorical function. First, a model is a symbol of “scientificity.” Second, a model travels easily among scholars and policy makers. Calling a conceptualization or narrative or perspective a model facilitates its propagation.

An examination of postwar medicine based on the notion of the biomedical platform--the theoretical and clinical meeting ground between the normal and the pathological.

An exploration of the economization of the ocean through the small modifications that enable great transformations of nature. The ocean is the site of an ongoing transformation that is aimed at creating new economic opportunities and prosperity. In Nature-Made Economy, Kristin Asdal and Tone Huse explore how the ocean has been harnessed to become a space of capital investment and innovation, and how living nature is wrested into the economy even as nature, in turn, resists, adapts to, or changes the economy. The authors’ innovative methodological and conceptual approaches examine the economy by focusing on surprising and numerous “little tools”—such as maps and policy documents, quality patrols, and dietary requirements for the enhancement of species’ biological propensities—that value, direct, reorder, accomplish, and sometimes fail to serve our ends, but also add up to great change. Throughout Nature-Made Economy, Asdal and Huse follow one species, the Atlantic cod, and explore how it is subjected to different versions of economization. Taking this species as a point of departure, they then provide novel analyses of the innovation economy, the architecture of markets, the settling of prices, and more, revealing how the ocean is rendered a space of intense economic exploitation. Through their analysis, the authors develop a distinct theoretical approach and conceptual vocabulary for studying nature–economy relations. Nature-Made Economy is a significant contribution to the broad field of STS and social studies of markets, as well as to studies of the Anthropocene, the environment, and human–animal relations.

An innovative historical analysis of the intersection of religion and technology in making the modern state, focusing on bodily production and reproduction across the human-animal divide. In Milk and Honey, Tamar Novick writes a revolutionary environmental history of the state that centers on the intersection of technology and religion in modern Israel/Palestine. Focusing on animals and the management of their production and reproduction across three political regimes—the late-Ottoman rule, British rule, and the early Israeli state—Novick draws attention to the ways in which settlers and state experts used agricultural technology to recreate a biblical idea of past plenitude, literally a “land flowing with milk and honey,” through the bodies of animals and people. Novick presents a series of case studies involving the management of water buffalo, bees, goats, sheep, cows, and peoplein Palestine/Israel. She traces the intimate forms of knowledge and bodily labor—production and reproduction—in which this process took place, and the intertwining of bodily, political, and environmental realms in the transformation of Palestine/Israel. Her wide-ranging approach shows technology never replaced religion as a colonial device. Rather, it merged with settler-colonial aspirations to salvage the land, bolstering the effort to seize control over territory and people. Fusing technology, religious fervor, bodily labor, and political ecology, Milk and Honey provides a novel account of the practices that defined and continue to shape settler-colonialism in the Palestine/Israel, revealing the ongoing entanglement of technoscience and religion in our time.

A laboratory study that investigates how algorithms come into existence. Algorithms--often associated with the terms big data, machine learning, or artificial intelligence--underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled.

How a team of musicians, engineers, computer scientists, and psychologists developed computer music as an academic field and ushered in the era of digital music. In the 1960s, a team of Stanford musicians, engineers, computer scientists, and psychologists used computing in an entirely novel way: to produce and manipulate sound and create the sonic basis of new musical compositions. This group of interdisciplinary researchers at the nascent Center for Computer Research in Music and Acoustics (CCRMA, pronounced “karma”) helped to develop computer music as an academic field, invent the technologies that underlie it, and usher in the age of digital music. In The Sound of Innovation, Andrew Nelson chronicles the history of CCRMA, tracing its origins in Stanford's Artificial Intelligence Laboratory through its present-day influence on Silicon Valley and digital music groups worldwide. Nelson emphasizes CCRMA's interdisciplinarity, which stimulates creativity at the intersections of fields; its commitment to open sharing and users; and its pioneering commercial engagement. He shows that Stanford's outsized influence on the emergence of digital music came from the intertwining of these three modes, which brought together diverse supporters with different aims around a field of shared interest. Nelson thus challenges long-standing assumptions about the divisions between art and science, between the humanities and technology, and between academic research and commercial applications, showing how the story of a small group of musicians reveals substantial insights about innovation. Nelson draws on extensive archival research and dozens of interviews with digital music pioneers; the book's website provides access to original historic documents and other material.

This book explores the processes and practices of the securitization and de-securitization of European infrastructures and how political institutions interact with security and insecurity. Expert contributors address distinct areas, from border politics and biosecurity to health governance and law and border control enforcement, to examine the various ways in which infrastructures are envisioned, designed, negotiated and built. They explore how ‘infrastructuring’ contributes to emergent forms of European identity, integration, and statehood. The book will appeal to scholars and students of Science and Technology Studies, Political Sociology, Critical Security Studies, International Relations, European Integration Studies, Infrastructure Studies, or Critical Border and Migration Studies. The Introduction and the Afterword of this book are freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.