This book examines the social epistemological issues relating to technology for the sake of providing insights toward public self-awareness and informing matters of education, policy, and public deliberation.

Offers a vital, unique and agenda-setting perspective for the field of social epistemology – the philosophical basis for prescribing the social means and ends for pursuing knowledge.

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.

This edited collection charts the development of, and prospects for, conceiving knowledge as a social phenomenon. The origin, aims and growth of the journal Social Epistemology, founded in 1987, serves to anchor each of the book’s contributions. Each contribution offers a unique, but related, insight on current issues affecting the organization and production of knowledge. In addition, each contribution proposes necessary questions, practices and frameworks relevant to the rapidly changing landscape of our conceptions of knowledge. The book examines the commercialization of science, the neoliberal university, the status and conduct of philosophy, the cultures of computer software and social networking, the practical, political and anthropological applications of social epistemology, and how we come to define what human beings are and what activities human beings can, and should, sustain. A diverse group of noted, international scholars lends necessary, original and challenging perspectives on our collective approach to knowledge. This book was originally published as a special issue of Social Epistemology.

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.

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.

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.