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Conventional wisdom has it that the sciences, properly pursued, constitute a pure, value-free method of obtaining knowledge about the natural world. In light of the social and normative dimensions of many scientific debates, Helen Longino finds that general accounts of scientific methodology cannot support this common belief. Focusing on the notion of evidence, the author argues that a methodology powerful enough to account for theories of any scope and depth is incapable of ruling out the influence of social and cultural values in the very structuring of knowledge. The objectivity of scientific inquiry can nevertheless be maintained, she proposes, by understanding scientific inquiry as a social rather than an individual process. Seeking to open a dialogue between methodologists and social critics of the sciences, Longino develops this concept of "contextual empiricism" in an analysis of research programs that have drawn criticism from feminists. Examining theories of human evolution and of prenatal hormonal determination of "gender-role" behavior, of sex differences in cognition, and of sexual orientation, the author shows how assumptions laden with social values affect the description, presentation, and interpretation of data. In particular, Longino argues that research on the hormonal basis of "sex-differentiated behavior" involves assumptions not only about gender relations but also about human action and agency. She concludes with a discussion of the relation between science, values, and ideology, based on the work of Habermas, Foucault, Keller, and Haraway.
In this bold and original study, Jeff Kochan constructively combines the sociology of scientific knowledge (SSK) with Martin Heidegger’s early existential conception of science. Kochan shows convincingly that these apparently quite different approaches to science are, in fact, largely compatible, even mutually reinforcing. By combining Heidegger with SSK, Kochan argues, we can explicate, elaborate, and empirically ground Heidegger’s philosophy of science in a way that makes it more accessible and useful for social scientists and historians of science. Likewise, incorporating Heideggerian phenomenology into SSK renders SKK a more robust and attractive methodology for use by scholars in the interdisciplinary field of Science and Technology Studies (STS). Kochan’s ground-breaking reinterpretation of Heidegger also enables STS scholars to sustain a principled analytical focus on scientific subjectivity, without running afoul of the orthodox subject-object distinction they often reject. Science as Social Existence is the first book of its kind, unfurling its argument through a range of topics relevant to contemporary STS research. These include the epistemology and metaphysics of scientific practice, as well as the methods of explanation appropriate to social scientific and historical studies of science. Science as Social Existence puts concentrated emphasis on the compatibility of Heidegger’s existential conception of science with the historical sociology of scientific knowledge, pursuing this combination at both macro- and micro-historical levels. Beautifully written and accessible, Science as Social Existence puts new and powerful tools into the hands of sociologists and historians of science, cultural theorists of science, Heidegger scholars, and pluralist philosophers of science.
Notes on contributors Acknowledgements 1. The Idiom of Co-production Sheila Jasanoff 2. Ordering Knowledge, Ordering Society Sheila Jasanoff 3. Climate Science and the Making of a Global Political Order Clark A. Miller 4. Co-producing CITES and the African Elephant Charis Thompson 5. Knowledge and Political Order in the European Environment Agency Claire Waterton and Brian Wynne 6. Plants, Power and Development: Founding the Imperial Department of Agriculture for the West Indies, 1880-1914 William K. Storey 7. Mapping Systems and Moral Order: Constituting property in genome laboratories Stephen Hilgartner 8. Patients and Scientists in French Muscular Dystrophy Research Vololona Rabeharisoa and Michel Callon 9. Circumscribing Expertise: Membership categories in courtroom testimony Michael Lynch 10. The Science of Merit and the Merit of Science: Mental order and social order in early twentieth-century France and America John Carson 11. Mysteries of State, Mysteries of Nature: Authority, knowledge and expertise in the seventeenth century Peter Dear 12. Reconstructing Sociotechnical Order: Vannevar Bush and US science policy Michael Aaron Dennis 13. Science and the Political Imagination in Contemporary Democracies Yaron Ezrah 14. Afterword Sheila Jasanoff References Index
Over the past quarter century, researchers have successfully explored the inner workings of the physical and biological sciences using a variety of social and historical lenses. Inspired by these advances, the contributors to Social Knowledge in the Making turn their attention to the social sciences, broadly construed. The result is the first comprehensive effort to study and understand the day-to-day activities involved in the creation of social-scientific and related forms of knowledge about the social world. The essays collected here tackle a range of previously unexplored questions about the practices involved in the production, assessment, and use of diverse forms of social knowledge. A stellar cast of multidisciplinary scholars addresses topics such as the changing practices of historical research, anthropological data collection, library usage, peer review, and institutional review boards. Turning to the world beyond the academy, other essays focus on global banks, survey research organizations, and national security and economic policy makers. Social Knowledge in the Making is a landmark volume for a new field of inquiry, and the bold new research agenda it proposes will be welcomed in the social science, the humanities, and a broad range of nonacademic settings.
Science is continually confronted by new and difficult social and ethical problems. Some of these problems have arisen from the transformation of the academic science of the prewar period into the industrialized science of the present. Traditional theories of science are now widely recognized as obsolete. In Scientific Knowledge and Its Social Problems (originally published in 1971), Jerome R. Ravetz analyzes the work of science as the creation and investigation of problems. He demonstrates the role of choice and value judgment, and the inevitability of error, in scientific research. Ravetz's new introductory essay is a masterful statement of how our understanding of science has evolved over the last two decades.
For the past fifty years anxiety over naturalism has driven debates in social theory. One side sees social science as another kind of natural science, while the other rejects the possibility of objective and explanatory knowledge. Interpretation and Social Knowledge suggests a different route, offering a way forward for an antinaturalist sociology that overcomes the opposition between interpretation and explanation and uses theory to build concrete, historically specific causal explanations of social phenomena.
A wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, including problems of transparency, replication, and reliability. Rather than focusing on individual studies or methods, this book examines how collective institutions and practices have (often unintended) impacts on the production of knowledge.
Progressive-era "poverty warriors" cast poverty in America as a problem of unemployment, low wages, labor exploitation, and political disfranchisement. In the 1990s, policy specialists made "dependency" the issue and crafted incentives to get people off welfare. Poverty Knowledge gives the first comprehensive historical account of the thinking behind these very different views of "the poverty problem," in a century-spanning inquiry into the politics, institutions, ideologies, and social science that shaped poverty research and policy. Alice O'Connor chronicles a transformation in the study of poverty, from a reform-minded inquiry into the political economy of industrial capitalism to a detached, highly technical analysis of the demographic and behavioral characteristics of the poor. Along the way, she uncovers the origins of several controversial concepts, including the "culture of poverty" and the "underclass." She shows how such notions emerged not only from trends within the social sciences, but from the central preoccupations of twentieth-century American liberalism: economic growth, the Cold War against communism, the changing fortunes of the welfare state, and the enduring racial divide. The book details important changes in the politics and organization as well as the substance of poverty knowledge. Tracing the genesis of a still-thriving poverty research industry from its roots in the War on Poverty, it demonstrates how research agendas were subsequently influenced by an emerging obsession with welfare reform. Over the course of the twentieth century, O'Connor shows, the study of poverty became more about altering individual behavior and less about addressing structural inequality. The consequences of this steady narrowing of focus came to the fore in the 1990s, when the nation's leading poverty experts helped to end "welfare as we know it." O'Connor shows just how far they had traveled from their field's original aims.
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.