This is an important book precisely because there is none other quite like it.

Douglas proposes a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, protecting the integrity and objectivity of science.

Striving to boldly redirect the philosophy of science, this book by renowned philosopher Philip Kitcher examines the heated debate surrounding the role of science in shaping our lives. Kitcher explores the sharp divide between those who believe that the pursuit of scientific knowledge is always valuable and necessary--the purists--and those who believe that it invariably serves the interests of people in positions of power. In a daring turn, he rejects both perspectives, working out a more realistic image of the sciences--one (...) that allows for the possibility of scientific truth, but nonetheless permits social consensus to determine which avenues to investigate. He then proposes a democratic and deliberative framework for responsible scientists to follow. Controversial, powerful, yet engaging, this volume will appeal to a wide range of readers. Kitcher's nuanced analysis and authorititative conclusion will interest countless scientists as well as all readers of science--scholars and laypersons alike. (shrink)

As we approach the end of the twentieth century, the ways in which knowledge--scientific, social, and cultural--is produced are undergoing fundamental changes. In The New Production of Knowledge, a distinguished group of authors analyze these changes as marking the transition from established institutions, disciplines, practices, and policies to a new mode of knowledge production. Identifying such elements as reflexivity, transdisciplinarity, and heterogeneity within this new mode, the authors consider their impact and interplay with the role of knowledge in social relations. (...) While the knowledge produced by research and development in science and technology is accorded central focus, the authors also outline the changing dimensions of social scientific and humanities knowledge and the relations between the production of knowledge and its dissemination through education. Placing science policy and scientific knowledge within the broader context of contemporary society, this book will be essential reading for all those concerned with the changing nature of knowledge, with the social study of science, with educational systems, and with the correlation between research and development and social, economic, and technological development. "Thought-provoking in its identification of issues that are global in scope; for policy makers in higher education, government, or the commercial sector." --Choice "By their insightful identification of the recent social transformation of knowledge production, the authors have been able to assert new imperatives for policy institutions. The lessons of the book are deep." --Alexis Jacquemin, Universite Catholique de Louvain and Advisor, Foreign Studies Unit, European Commission "Should we celebrate the emergence of a 'post-academic' mode of postmodern knowledge production of the post-industrial society of the 21st Century? Or should we turn away from it with increasing fear and loathing as we also uncover its contradictions. A generation of enthusiasts and/or critics will be indebted to the team of authors for exposing so forcefully the intimate connections between all the cognitive, educational, organizational, and commercial changes that are together revolutionizing the sciences, the technologies, and the humanities. This book will surely spark off a vigorous and fruitful debate about the meaning and purpose of knowledge in our culture." --Professor John Ziman, (Wendy, Janey at Ltd. is going to provide affiliation. Contact if you don't hear from her.) "Jointly authored by a team of distinguished scholars spanning a number of disciplines, The New Production of Knowledge maps the changes in the mode of knowledge production and the global impact of such transformations. . . . The authors succeed . . . at sketching out, in very large strokes, the emerging trends in knowledge production and their implications for future society. The macro focus of the book is a welcome change from the micro obsession of most sociologists of science, who have pretty much deconstructed institutions and even scientific knowledge out of existence." --Contemporary Sociology "This book is a timely contribution to current discussion on the breakdown of and need to renegotiate the social contract between science and society that Vannevar Bush and likeminded architects of science policy constructed immediately after World War II. It goes far beyond the usual scattering of fragmentary insights into changing institutional landscapes, cognitive structures, or quality control mechanisms of present day science, and their linkages with society at large. Tapping a wide variety of sources, the authors provide a coherent picture of important new characteristics that, taken altogether, fundamentally challenge our traditional notions of what academic research is all about. This well-founded analysis of the social redistribution of knowledge and its associated power patterns helps articulate what otherwise tends to remain an--albeit widespread--intuition. Unless they adapt to the new situation, universities in the future will find the centers of gravity of knowledge production moving even further beyond their ken. Knowledge of the social and cognitive dynamics of science in research is much needed as a basis of science and technology policymaking. The New Production of Knowledge does a lot to fill this gap. Another unique feature is its discussion of the humanities, which are usually left out in works coming out of the social studies of science." --Aant Elzinga, University od Goteborg. (shrink)

Wesley Salmon is renowned for his seminal contributions to the philosophy of science. He has powerfully and permanently shaped discussion of such issues as lawlike and probabilistic explanation and the interrelation of explanatory notions to causal notions. This unique volume brings together twenty-six of his essays on subjects related to causality and explanation, written over the period 1971-1995. Six of the essays have never been published before and many others have only appeared in obscure venues. The volume includes a section (...) of accessible introductory pieces, as well as more advanced and technical pieces, and will make essential work in the philosophy of science readily available to both scholars and students. (shrink)

Instead of conceiving ethical commands as divine revelations or as the discoveries of brilliant thinkers, we should see our ethical practices as evolving over tens of thousands of years, as members of our species have worked out how to live together and prosper. Here, Kitcher elaborates his radical vision of this millennia-long ethical project.

Because of its complexity, contemporary scientific research is almost always tackled by groups of scientists, each of which works in a different part of a given research domain. We believe that understanding scientific progress thus requires understanding this division of cognitive labor. To this end, we present a novel agent-based model of scientific research in which scientists divide their labor to explore an unknown epistemic landscape. Scientists aim to climb uphill in this landscape, where elevation represents the significance of the (...) results discovered by employing a research approach. We consider three different search strategies scientists can adopt for exploring the landscape. In the first, scientists work alone and do not let the discoveries of the community as a whole influence their actions. This is compared with two social research strategies, which we call the follower and maverick strategies. Followers are biased towards what others have already discovered, and we find that pure populations of these scientists do less well than scientists acting independently. However, pure populations of mavericks, who try to avoid research approaches that have already been taken, vastly outperform both of the other strategies. Finally, we show that in mixed populations, mavericks stimulate followers to greater levels of epistemic production, making polymorphic populations of mavericks and followers ideal in many research domains. (shrink)

This book is about the methods used for unifying different scientific theories under one all-embracing theory. The process has characterized much of the history of science and is prominent in contemporary physics; the search for a 'theory of everything' involves the same attempt at unification. Margaret Morrison argues that, contrary to popular philosophical views, unification and explanation often have little to do with each other. The mechanisms that facilitate unification are not those that enable us to explain how or why (...) phenomena behave as they do. A feature of this book is an account of many case studies of theory unification in nineteenth- and twentieth-century physics and of how evolution by natural selection and Mendelian genetics were unified into what we now term evolutionary genetics. (shrink)

Increasingly, epistemologists are becoming interested in social structures and their effect on epistemic enterprises, but little attention has been paid to the proper distribution of experimental results among scientists. This paper will analyze a model first suggested by two economists, which nicely captures one type of learning situation faced by scientists. The results of a computer simulation study of this model provide two interesting conclusions. First, in some contexts, a community of scientists is, as a whole, more reliable when its (...) members are less aware of their colleagues' experimental results. Second, there is a robust tradeoff between the reliability of a community and the speed with which it reaches a correct conclusion. ‡The author would like to thank Brian Skyrms, Kyle Stanford, Jeffrey Barrett, Bruce Glymour, and the participants in the Social Dynamics Seminar at University of California–Irvine for their helpful comments. Generous financial support was provided by the School of Social Science and Institute for Mathematical Behavioral Sciences at UCI. †To contact the author, please write to: Department of Philosophy, Baker Hall 135, Carnegie Mellon University, Pittsburgh, PA 15213-3890; e-mail: [email protected]. (shrink)

These are some of the central questions that Robert Proctor addresses in his study of the politics of modern science.

Deliberative democracy puts communication and talk at the centre of democracy. Foundations and Frontiers of Deliberative Governance takes a fresh look at the foundations of the field, and develops new applications in areas ranging from citizen participation to the democratization of authoritarian states to the global system.

The question is answered by introducing an ideal, the ideal of well‐ordered science In well‐ordered science the inquiries pursued are those that would have been selected by a well‐informed group of deliberators dedicated to working cooperatively with one another. Well‐ordered science is contrasted with vulgar democracy and with elitism. The chapter suggests various ways in which our current practice of the sciences falls short of the ideal.

How should we understand scientific progress? Kuhn famously discussed science as its own internally driven venture, structured by paradigms. He also famously had a problem describing progress in science, as problem-solving ability failed to provide a clear rubric across paradigm change—paradigm changes tossed out problems as well as solving them. I argue here that much of Kuhn’s inability to articulate a clear view of scientific progress stems from his focus on pure science and a neglect of applied science. I trace (...) the history of the distinction between pure and applied science, showing how the distinction came about, the rhetorical uses to which the distinction has been put, and how pure science came to be both more valued by scientists and philosophers. I argue that the distinction between pure and applied science does not stand up to philosophical scrutiny, and that once we relinquish it, we can provide Kuhn with a clear sense of scientific progress. It is not one, though, that will ultimately prove acceptable. For that, societal evaluations of scientific work are needed. (shrink)

There are several key ingredients common to the various forms of model-based reasoning considered in this book. The term ‘model’ comprises both internal and external representations. The models are intended as interpretations of target physical systems, processes, phenomena, or situations and are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain. The book’s contributors are researchers active in the area of creative reasoning in science and technology.

Transdisciplinarity includes the assumption that within new institutional settings, scientific research becomes more closely responsive to practical problems and user needs and is therefore often subject to considerable application pressure. This raises the question whether transdisciplinarity affects the epistemic standards and the fruitfulness of research. Case studies show how user-orientation and epistemic innovativeness can be combined. While the modeling involved in all cases under consideration was local and focused primarily on features of immediate practical relevance, it was informed by theoretical (...) insights from basic research. Conversely, industrial research turns out sometimes to produce theoretical understanding. These findings highlight an interactive relationship between science and technology (moderate emergentism), which is distinct from the traditional view of a one-sided dependence of technology on science (cascade model) and from the newly received independence account (emergentism). (shrink)

In this book, Donald Stokes challenges Bush's view and maintains that we can only rebuild the relationship between government and the scientific community when we understand what is wrong with that view.Stokes begins with an analysis of the ...

In this paper we make a proposal for reforming biomedical research that is aimed to align re-search more closely with the so-called fair-share principle according to which the proportions of global resources as-signed to different diseases should agree with the ratios of human suffering associated with those diseases.

Philosophers of science readily acknowledge that nonepistemic values influence the discovery and pursuit of scientific theories, but many tend to regard these influences as epistemically uninteresting. The present paper challenges this position by identifying three avenues through which nonepistemic values associated with discovery and pursuit in contemporary pollution research influence theory appraisal: (1) by guiding the choice of questions and research projects, (2) by altering experimental design, and (3) by affecting the creation and further investigation of theories or hypotheses. This (...) analysis indicates that the effects of these values are sufficiently complex and epistemically significant to merit further attention. †To contact the authors, please write to: Kevin Elliott, Department of Philosophy, University of South Carolina, Columbia, SC 29208; e‐mail: [email protected] . Daniel McKaughan, Department of Philosophy, Boston College, Chestnut Hill, MA 02467; e‐mail: [email protected]. (shrink)

This collection of essays by Sheila Jasanoff explores how democratic governments construct public reason, that is, the forms of evidence and argument used in making state decisions accountable to citizens.

To anyone vaguely aware of Feyerabend, the title of this paper would appear as an oxymoron. For Feyerabend, it is often thought, science is an anarchic practice with no discernible structure. Against this trend, I elaborate the groundwork that Feyerabend has provided for the beginnings of an approach to organizing scientific research. Specifically, I argue that Feyerabend’s pluralism, once suitably modified, provides a plausible account of how to organize science. These modifications come from C.S. Peirce’s account of the economics of (...) theory pursuit, which has since been corroborated by empirical findings in the social sciences. I go on to contrast this approach with the conception of a ‘well-ordered science’ as outlined by Kitcher (Science, truth, and democracy, Oxford University Press, New York, 2001), Cartwright (Philos Sci 73(5):981–990, 2006), which rests on the assumption that we can predict the content of future research. I show how Feyerabend has already given us reasons to think that this model is much more limited than it is usually understood. I conclude by showing how models of resource allocation, specifically those of Kitcher (J Philos 87:5–22, 1990), Strevens (J Philos 100(2):55–79, 2003) and Weisberg and Muldoon (Philos Sci 76(2):225–252, 2009), unwittingly make use of this problematic assumption. I conclude by outlining a proposed model of resource allocation where funding is determined by lottery and briefly examining the extent to which it is compatible with the position defended in this paper. (shrink)

In this paper we make a proposal for reforming biomedical research that is aimed to align re-search more closely with the so-called fair-share principle according to which the proportions of global resources as-signed to different diseases should agree with the ratios of human suffering associated with those diseases.

Here we present the framework of a new approach to assessing the capacity of research programs to achieve social goals. Research evaluation has made great strides in addressing questions of scientific and economic impacts. It has largely avoided, however, a more important challenge: assessing (prospectively or retrospectively) the impacts of a given research endeavor on the non-scientific, non-economic goals—what we here term public values —that often are the core public rationale for the endeavor. Research programs are typically justified in terms (...) of their capacity to achieve public values, and that articulation of public values is pervasive in science policy-making. We outline the elements of a case-based approach to public value mapping of science policy, with a particular focus on developing useful criteria and methods for assessing public value failure, with an intent to provide an alternative to market failure thinking that has been so powerful in science policy-making. So long as research evaluation avoids the problem of public values, science policy decision makers will have little help from social science in making choices among competing paths to desired social outcomes. (shrink)

Scientific pluralism, a normative endorsement of the plurality or multiplicity of research approaches in science, has recently been advocated by several philosophers (e.g., Kellert et al. 2006, Kitcher 2001, Longino 2013, Mitchell 2009, and Chang 2010). Comparing these accounts of scientific pluralism, one will encounter quite some variation. We want to clarify the different interpretations of scientific pluralism by showing how they incarnate different models of democracy, stipulating the desired interaction among the plurality of research approaches in different ways. Furthermore, (...) the example of scientific pluralism is used to advocate the application of democratic theory to philosophy of science problems in general. Drawing on the parallels between models of science and models of democracy, we can articulate how the plurality of research approaches in science should interact within a democratic framework as well as how to cultivate multiple research approaches in the epistemically most productive way possible. This will not only improve our understanding of scientific plurality, but it can also help us stipulating how different research approaches should interact to constitute the most objective account possible or how the ideal of scientific consensus has to be understood. Ultimately, developing democratic models of science bears on the question of how deeply science and democracy are entwined. (shrink)

Reviews the book "Science, Truth, and Democracy," by Philip Kitcher.

To whom, if anyone, are the writings of philosophers of science relevant? There are three potential groups of people: Philosophers, Scientists, and Interested Citizens, within and beyond the academy. I argue that our discipline is potentially relevant to all three, but I particularly press the claims of the Interested Citizens. My essay is in dialogue with a characteristically insightful lecture given thirty years ago by Arthur Fine. Addressing the Philosophy of Science Association as its president, Fine argued that general philosophy (...) of science was dead, and that all the action lay in the philosophy of the special sciences. I try to identify what was correct about Fine’s diagnosis, while supplementing his message by describing fruitful projects that have since emerged. I also hope to share his subversive spirit. (shrink)

This article argues that John Rawls' liberal philosophising is an inadequate means of facing today's varied social and political challenges, both domestic and international, because it is incapable of grasping the antagonistic dimension which is constitutive of the political. Focusing first on Rawls' conception of politics in a well-ordered liberal society, and thereafter on his arguments pertaining to the field of international politics, it is shown how Rawls forecloses the recognition of the properly political moment by postulating that the discrimination (...) between what is legitimate and what is not legitimate is dictated by morality and rationality. With exclusions presented as rationally justified and with the antagonistic dimension of politics whisked away, liberalism appears as the truly moral and rational solution to the problem of how to organise human coexistence, and its universalisation becomes the aim of all those who are moved by moral and rational considerations. Against this conception, it is suggested that a future, more peaceful world would be less a cosmopolitan and more a pluralist one. (shrink)

The Allison Commission focused attention on the administration of the scientific bureaux and its relation to the jurisdictional system in the Congress. The commission also had a more considerable influence on congressional policy towards the scientific bureaux than was previously thought. Legislative recommendations offered by the Allison Commission became law, even if they avoided the notice of congressional opponents through the strategic manipulation of the appropriations process. Hilary Herbert was not a crude enemy of science, but a staunch defender of (...) the obligations of Congress to scrutinise the expenditure of funds it allocated.This detailed political history of the Allison Commission is a necessary part of any history of American science policy. William Boyd Allison and Hilary Herbert were, no less than scientists like Powell, initiators of a tradition which has continued to be important in American governmental science policy.The form of the special committee devoted to scientific issues was initiated by the Allison Commission. It prefigured more recent and familiar congressional inquiries like the Joint Committee on Atomic Energy, the Government Operations Committee under Representative Fountain, the House Science Policy Task Force, and the Energy and Commerce Committee under Representative Dingell. The attentiveness to details like pay, printing, food and morale—as small but manageable parts of the larger enterprise—foreshadows more contemporary inquiries into the details of the procedures for awarding grants and contracts and the assurances of financial and scientific integrity. The mechanisms of control applied to governmental science by the Allison Commission—particularly itemised appropriations, but also control over personnel through promotions and control of bureaucratic organisation by virtue of congressional rather than disciplinary organisation—stand as early examples of how Congress may continue to exert its constitutional authority to scrutinise an innovative and entrepreneurial scientific community. (shrink)