How has technology changed what it means to be human and to be a member of a human society? How has technology changed the way we acquire knowledge of the world we inhabit? In light of these changes and the direction we are moving, how should the pursuit of knowledge be organized? Social Epistemology and Technology provides insights into such questions relating to public self-awareness regarding technology. The concerns addressed in this book apply to a large and diverse audience including, but not limited to, those interested in social epistemology, technology, cultural studies, trans-humanism, augmented subjectivity, futurology, human sciences, social sciences, political sciences, communication, psychology, science and technology studies, and philosophy. This is the first book of its kind to focus solely on technology and its socially specific epistemological themes. It offers insight into public self-awareness regarding technology by providing an understanding of persons in relation to the technological changes that have occurred, and continue to occur, across the societies they people.

The Future of Social Epistemology: A Collective Vision sets an agenda for exploring the future of what we – human beings reimagining our selves and our society – want, need and ought to know. The book examines, concretely, practically and speculatively, key ideas such as the public conduct of philosophy, models for extending and distributing knowledge, the interplay among individuals and groups, risk taking and the welfare state, and envisioning people and societies remade through the breakneck pace of scientific and technological change. An international team of contributors offers a ‘collective vision’, one that speaks to what they see unfolding and how to plan and conduct the dialogue and work leading to a knowable and desirable world. The book describes and advances an intellectual agenda for the future of social epistemology.

This is the book that launched the research program of social epistemology, which has fuelled imaginations and provoked debates across many disciplines around the world. Its opening question remains as pressing as ever: How should knowledge production be organised. The second edition contains a substantial new introduction, in which Fuller reflects on social epistemology's place in the history of analytic and continental epistemology and discusses the inspiration he has drawn from a wide variety of fields in the humanities and social sciences. It also includes a spirited attack on alternative philosophical groundings for social epistemology and a detailed response to the standard criticism that social epistemology has received from realist philosophers and natural scientists during the "Science Wars."In Social Epistemology Fuller seeks to reconcile normative philosophy of science and empirical sociology of knowledge. He reinterprets key problems in the philosophy of science, such as realism, the nature of objectivity, the demarcation of science from other disciplines, and the nature of our knowledge of other times and places. In the course of this reinterpretation, which draws on concepts and arguments from many branches of the humanities and social sciences, Fuller considers such philosophically neglected questions as: How is the burden of proof determined in science? On what basis is the historian licensed to say that a "consensus" has been reached on a scientific claim? What implications do our patently imperfect means of linguistic transmission have for the notion that science "retains and accumulates" knowledge? Finally, Fuller proposes a course of "Knowledge Policy Studies" designed to make the theory of knowledge a branch of political theory and thereby to hasten the evolution of the epistemologist into a knowledge policy maker. In its new edition, the book remains a provocative contribution to the debate on the production, dissemination, and interpretation of knowledge in the sciences.

For the last forty years, two claims have been at the core of disputes about scientific change: that scientists reason rationally and that science is progressive. For most of this time discussions were polarized between philosophers, who defended traditional Enlightenment ideas about rationality and progress, and sociologists, who espoused relativism and constructivism. Recently, creative new ideas going beyond the polarized positions have come from the history of science, feminist criticism of science, psychology of science, and anthropology of science. Addressing the traditional arguments as well as building on these new ideas, Miriam Solomon constructs a new epistemology of science. After discussions of the nature of empirical success and its relation to truth, Solomon offers a new, social account of scientific rationality. She shows that the pursuit of empirical success and truth can be consistent with both dissent and consensus, and that the distinction between dissent and consensus is of little epistemic significance. In building this social epistemology of science, she shows that scientific communities are not merely the locus of distributed expert knowledge and a resource for criticism but also the site of distributed decision making. Throughout, she illustrates her ideas with case studies from late-nineteenth- and twentieth-century physical and life sciences. Replacing the traditional focus on methods and heuristics to be applied by individual scientists, Solomon emphasizes science funding, administration, and policy. One of her goals is to have a positive influence on scientific decision making through practical social recommendations.

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

As the field of Science and Technology Studies (STS) has become more established, it has increasingly hidden its philosophical roots. While the trend is typical of disciplines striving for maturity, Steve Fuller, a leading figure in the field, argues that STS has much to lose if it abandons philosophy. In his characteristically provocative style, he offers the first sustained treatment of the philosophical foundations of STS and suggests fruitful avenues for further research. With stimulating discussions of the Science Wars, the Intelligent Design Theory controversy, and theorists such as Donna Haraway and Bruno Latour, Philosophy of Science and Technology Studies is required reading for students and scholars in STS and the philosophy of science.

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.

Knowledge in a Social World offers a philosophy for the information age. Alvin Goldman explores new frontiers by creating a thoroughgoing social epistemology, moving beyond the traditional focus on solitary knowers. Social, cultural, and technological changes present new challenges to our ways of knowing and understanding, and philosophy must face these challenges. Against the tides of postmodernism and social constructionism Goldman defends the integrity of truth and shows how to promote it by well-designed forms of social interaction. He urges that social discourse promises more than the mere politics of consensus, and that suitably norm-governed debate and belief-revision can increase veridical knowledge. Goldman's aims are not just philosophical but practical. From science to education, from law to democracy, he shows why and how public institutions should seek knowledge-enhancing practices. He examines how cyberspace and other technologies expand the scope of communication, and warns of the need to safeguard content quality. He scrutinizes the free marketplace of ideas, the adversary system in the law, and media coverage of political campaigns. The result is a bold, timely, and systematic treatment of the philosophical foundations of an information society.

This book offers a comprehensive overview of the arguments relating to the extent and manner to which social influences enable epistemic agents.

The Handbook Philosophy of Technology and Engineering Sciences addresses numerous issues in the emerging field of the philosophy of those sciences that are involved in the technological process of designing, developing and making of new technical artifacts and systems. These issues include the nature of design, of technological knowledge, and of technical artifacts, as well as the toolbox of engineers. Most of these have thus far not been analyzed in general philosophy of science, which has traditionally but inadequately regarded technology as mere applied science and focused on physics, biology, mathematics and the social sciences. - First comprehensive philosophical handbook on technology and the engineering sciences - Unparalleled in scope including explorative articles - In depth discussion of technical artifacts and their ontology - Provides extensive analysis of the nature of engineering design - Focuses in detail on the role of models in technology