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The role of science in policymaking has gained unprecedented stature in the United States, raising questions about the place of science and scientific expertise in the democratic process. Some scientists have been given considerable epistemic authority in shaping policy on issues of great moral and cultural significance, and the politicizing of these issues has become highly contentious. Since World War II, most philosophers of science have purported the concept that science should be "value-free." In Science, Policy and the Value-Free Ideal, Heather E. Douglas argues that such an ideal is neither adequate nor desirable for science. She contends that the moral responsibilities of scientists require the consideration of values even at the heart of science. She lobbies for a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, thus protecting the integrity and objectivity of science. In this vein, Douglas outlines a system for the application of values to guide scientists through points of uncertainty fraught with moral valence.Following a philosophical analysis of the historical background of science advising and the value-free ideal, Douglas defines how values should-and should not-function in science. She discusses the distinctive direct and indirect roles for values in reasoning, and outlines seven senses of objectivity, showing how each can be employed to determine the reliability of scientific claims. Douglas then uses these philosophical insights to clarify the distinction between junk science and sound science to be used in policymaking. In conclusion, she calls for greater openness on the values utilized in policymaking, and more public participation in the policymaking process, by suggesting various models for effective use of both the public and experts in key risk assessments.
Basic scientific research and technological development have had an enormous impact on innovation, economic growth, and social well-being. Yet science policy debates have long been dominated by advocates for particular scientific fields or missions. In the absence of a deeper understanding of the changing framework in which innovation occurs, policymakers cannot predict how best to make and manage investments to exploit our most promising and important opportunities. Since 2005, a science of science policy has developed rapidly in response to policymakers' increased demands for better tools and the social sciences' capacity to provide them. The Science of Science Policy: A Handbook brings together some of the best and brightest minds working in science policy to explore the foundations of an evidence-based platform for the field. The contributions in this book provide an overview of the current state of the science of science policy from three angles: theoretical, empirical, and policy in practice. They offer perspectives from the broader social science, behavioral science, and policy communities on the fascinating challenges and prospects in this evolving arena. Drawing on domestic and international experiences, the text delivers insights about the critical questions that create a demand for a science of science policy.
This book examines the structure and operation of peer review as a family of quality control mechanisms and looks at the burdens placed on the various forms of peer review. Assuming that peer review is central to the functioning of U.S. science policy, Chubin and Hackett explore the symbolic and practical value of peer review in the making, implementing, and analysis of this policy.
Innovation is increasingly recognized as a vitally important social and economic phenomenon worthy of serious research study. Firms are concerned about their innovation ability, particularly relative to their competitors. Politicians care about innovation, too, because of its presumed social and economic impact. However, to recognize that innovation is desirable is not sufficient. What is required is systematic and reliable knowledge about how best to influence innovation and to exploit its effects to the full. Gaining such knowledge is the aim of the field of innovation studies, which is now at least half a century old. Hence, it is an opportune time to ask what has been achieved and what we still need to know more about. This is what this book sets out to explore. Written by a number of central contributors to the field, it critically examines the current state of the art and identifies issues that merit greater attention. The focus is mainly on how society can derive the greatest benefit from innovation and what needs to done to achieve this. However, to learn more about how society can benefit more from innovation, one also needs to understand innovation processes in firms and how these interact with broader social, institutional and political factors. Such issues are therefore also central to the discussion here.
Margaret Thatcher was prime minister from 1979 to 1990, during which time her Conservative administration transformed the political landscape of Britain. Science Policy under Thatcher is the first book to examine systematically the interplay of science and government under her leadership. Thatcher was a working scientist before she became a professional politician, and she maintained a close watch on science matters as prime minister. Scientific knowledge and advice were important to many urgent issues of the 1980s, from late Cold War questions of defence to emerging environmental problems such as acid rain and climate change. Drawing on newly released primary sources, Jon Agar explores how Thatcher worked with and occasionally against the structures of scientific advice, as the scientific aspects of such issues were balanced or conflicted with other demands and values. To what extent, for example, was the freedom of the individual scientist to choose research projects balanced against the desire to secure more commercial applications? What was Thatcher’s stance towards European scientific collaboration and commitments? How did cuts in public expenditure affect the publicly funded research and teaching of universities? In weaving together numerous topics, including AIDS and bioethics, the nuclear industry and strategic defence, Agar adds to the picture we have of Thatcher and her radically Conservative agenda, and argues that the science policy devised under her leadership, not least in relation to industrial strategy, had a prolonged influence on the culture of British science.
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.
Scientific Freedom outlines what needs to be done to restore the freedom that can transform scientific understanding. The author defines Transformative Research (Venture Research) and explains how an initiative might be designed and implemented; discusses the revolutionary concept of low-risk, high-reward research; explains the wider significance of instability, and introduces the formidable Damocles Zone; explores threats to the university as an institution; and describes how a Transformative Research initiative might work in practice.
Scientists have a choice concerning what role they should play in political debates and policy formation, particularly in terms of how they present their research. This book is about understanding this choice, what considerations are important to think about when deciding, and the consequences of such choices for the individual scientist and the broader scientific enterprise. Rather than prescribing what course of action each scientist ought to take, the book aims to identify a range of options for individual scientists to consider in making their own judgments about how they would like to position themselves in relation to policy and politics. Using examples from a range of scientific controversies and thought-provoking analogies from other walks of life, The Honest Broker challenges us all - scientists, politicians and citizens - to think carefully about how best science can contribute to policy-making and a healthy democracy.
Since the discovery of the structure of DNA and the birth of the genetic age, a powerful vocabulary has emerged to express science’s growing command over the matter of life. Armed with knowledge of the code that governs all living things, biology and biotechnology are poised to edit, even rewrite, the texts of life to correct nature’s mistakes. Yet, how far should the capacity to manipulate what life is at the molecular level authorize science to define what life is for? This book looks at flash points in law, politics, ethics, and culture to argue that science’s promises of perfectibility have gone too far. Science may have editorial control over the material elements of life, but it does not supersede the languages of sense-making that have helped define human values across millennia: the meanings of autonomy, integrity, and privacy; the bonds of kinship, family, and society; and the place of humans in nature.
This book offers a geographic dimension to the study of innovation and product commercialization. Building on the literature in economics and geography, this book demonstrates that product innovation clusters spatially in regions which provide concentrations of the knowledge needed for the commercialization process. The book develops a conceptual model which links the location of new product innovations to the sources of these knowledge inputs. The geographic concentration of this knowledge fonns a technological infrastructure which promotes infonnation transfers, and lowers the risks and the costs of engaging in innovative activity. Empirical estimation confinns that the location of product innovation is related to the underlying technological infrastructure, and that the location of the knowledge inputs are mutually reinforcing in defining a region's competitive advantage. The book concludes by considering the policy implications of these fmdings for both private finns and state governments. This work is intended for academics, policy practitioners and students in the fields of innovation and technological change, geography and regional science, and economic development. This work is part of a larger research effort to understand why the location of innovative activity varies spatially, specifically the externalities and increasing returns which accrue to location. xi Acknowledgements This work has benefitted greatly from discussions with friends and colleagues. I wish to specifically note the contribution of Mark Kamlet, Wes Cohen, Richard Florida, Zoltan Acs and David Audretsch. I would like to thank Gail Cohen Shaivitz for her dedication in editing the final manuscript.