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.

Laudan constructs a fresh approach to a longtime problem for the philosopher of science: how to explain the simultaneous and widespread presence of both agreement and disagreement in science. Laudan critiques the logical empiricists and the post-positivists as he stresses the need for centrality and values and the interdependence of values, methods, and facts as prerequisites to solving the problems of consensus and dissent in science.

Helen Longino seeks to break the current deadlock in the ongoing wars between philosophers of science and sociologists of science--academic battles founded on disagreement about the role of social forces in constructing scientific knowledge. While many philosophers of science downplay social forces, claiming that scientific knowledge is best considered as a product of cognitive processes, sociologists tend to argue that numerous noncognitive factors influence what scientists learn, how they package it, and how readily it is accepted. Underlying this disagreement, however, (...) is a common assumption that social forces are a source of bias and irrationality. Longino challenges this assumption, arguing that social interaction actually assists us in securing firm, rationally based knowledge. This important insight allows her to develop a durable and novel account of scientific knowledge that integrates the social and cognitive. Longino begins with a detailed discussion of a wide range of contemporary thinkers who write on scientific knowledge, clarifying the philosophical points at issue. She then critically analyzes the dichotomous understanding of the rational and the social that characterizes both sides of the science studies stalemate and the social account that she sees as necessary for an epistemology of science that includes the full spectrum of cognitive processes. Throughout, her account is responsive both to the normative uses of the term knowledge and to the social conditions in which scientific knowledge is produced. Building on ideas first advanced in her influential book Science as Social Knowledge, Longino brings her account into dialogue with current work in social epistemology and science studies and shows how her critical social approach can help solve a variety of stubborn problems. While the book focuses on epistemological concerns related to the sociality of inquiry, Longino also takes up its implications for scientific pluralism. The social approach, she concludes, best allows us to retain a meaningful concept of knowledge in the face of theoretical plurality and uncertainty. (shrink)

Although epistemic values have become widely accepted as part of scientific reasoning, non-epistemic values have been largely relegated to the "external" parts of science (the selection of hypotheses, restrictions on methodologies, and the use of scientific technologies). I argue that because of inductive risk, or the risk of error, non-epistemic values are required in science wherever non-epistemic consequences of error should be considered. I use examples from dioxin studies to illustrate how non-epistemic consequences of error can and should be considered (...) in the internal stages of science: choice of methodology, characterization of data, and interpretation of results. (shrink)

The question of the relationship of the making of value judgments in a typically ethical sense to the methods and procedures of science has been discussed in the literature at least to that point which e. e. cummings somewhere refers to as “The Mystical Moment of Dullness.” Nevertheless, albeit with some trepidation, I feel that something more may fruitfully be said on the subject.

Exploring the role of values in scientific inquiry, Hugh Lacey examines the nature and meaning of values, and looks at challenges to the view, posed by postmodernists, feminists, radical ecologists, Third-World advocates and religious fundamentalists, that science is value free. He also focuses on discussions of 'development', especially in Third World countries. This paperback edition includes a new preface.

The ideal of value free science states that the justification of scientific findings should not be based on non-epistemic (e.g. moral or political) values. It has been criticized on the grounds that scientists have to employ moral judgements in managing inductive risks. The paper seeks to defuse this methodological critique. Allegedly value-laden decisions can be systematically avoided, it argues, by making uncertainties explicit and articulating findings carefully. Such careful uncertainty articulation, understood as a methodological strategy, is exemplified by the current (...) practice of the Intergovernmental Panel on Climate Change (IPCC). (shrink)

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. (shrink)

"It has long been thought that science is our best hope for realizing objective knowledge, but that, to deliver on this promise, it must be free of the influence of any values that are not purely epistemic. As recent work in philosophy, history, and social studies of science shows, however, things are not so simple. The contributors to this volume ask where and how nonepistemic values are involved in science; they explore the roles these values play at the heart of (...) science, in the assessment of evidence and explanations, and they examine the implications this has for ideals of objectivity."--BOOK JACKET. (shrink)

When interests and preferences of researchers or their sponsors cause bias in experimental design, data interpretation or dissemination of research results, we normally think of it as an epistemic shortcoming. But as a result of the debate on science and values, the idea that all extra-scientific influences on research could be singled out and separated from pure science is now widely believed to be an illusion. I argue that nonetheless, there are cases in which research is rightfully regarded as epistemologically (...) deficient due to the influence of preferences on its outcomes. I present examples from biomedical research and offer an analysis in terms of social epistemology. (shrink)

In this essay, which was his presidential address to the Philosophy of Science Association, Ernan McMullin argued that the watershed between “classic” philosophy of science and the “new” philosophy of science can best be understood by analyzing the change in our perception of the role played by values in science. He begins with some general remarks about the nature of value, goes on to explore some of the historical sources for the claim that judgement in science is value‐laden, and concludes (...) by reflecting on the implications of this claim for traditional views of the objectivity of scientific knowledge‐claims. (shrink)

A new, social epistemology of science that addresses practical as well as theoretical concerns.

Could low-level exposure to polluting chemicals be analogous to exercise -- a beneficial source of stress that strengthens the body? Some scientists studying the phenomenon of hormesis claim that that this may be the case.s A Little Pollution Good For You? critically examines the current evidence for hormesis.

Critics of the ideal of value‐free science often assume that they must reject the distinction between epistemic and nonepistemic values. I argue that this assumption is mistaken and that the distinction can be used to clarify and defend the argument from inductive risk, which challenges the value‐free ideal. I develop the idea that the characteristic feature of epistemic values is that they promote, either intrinsically or extrinsically, the attainment of truths. This proposal is shown to answer common objections to the (...) distinction and provide a principled basis for separating legitimate from illegitimate influences of nonepistemic values in scientific inference. *Received June 2009; revised September 2009. †To contact the author, please write to: 503 S. Kedzie Hall, Michigan State University, East Lansing, MI 48824‐1032; e‐mail: [email protected]. (shrink)

Beginning with the premise that the principal function of a criminal trial is to find out the truth about a crime, Larry Laudan examines the rules of evidence and procedure that would be appropriate if the discovery of the truth were, as higher courts routinely claim, the overriding aim of the criminal justice system. Laudan mounts a systematic critique of existing rules and procedures that are obstacles to that quest. He also examines issues of error distribution by offering the first (...) integrated analysis of the various mechanisms - the standard of proof, the benefit of the doubt, the presumption of innocence and the burden of proof - for implementing society's view about the relative importance of the errors that can occur in a trial. (shrink)

Richard Rudner famously argues that the communication of scientific advice to policy makers involves ethical value judgments. His argument has, however, been rightly criticized. This article revives Rudner’s conclusion, by strengthening both his lines of argument: we generalize his initial assumption regarding the form in which scientists must communicate their results and complete his ‘backup’ argument by appealing to the difference between private and public decisions. Our conclusion that science advisors must, for deep-seated pragmatic reasons, make value judgments is further (...) bolstered by reflections on how the scientific contribution to policy is far less straightforward than the Rudner-style model suggests. (shrink)

In this book, Carl Cranor utilizes material from ethics, philosophy of law, epidemiology, tort law, regulatory law, and risk assessment to argue that the evidentiary standards for science used in the law to control toxics ought to be ...

This book offers an account of how values play an important role within scientific practices, and how this account illuminates many ethical issues that arise concerning scientific practices and applications.

In recent papers and a book, Heather Douglas has expanded on the well-known argument from inductive risk, thereby launching an influential contemporary critique of the value-free ideal for science. This paper distills Douglas’s critique into four major claims. The first three claims provide a significant challenge to the value-free ideal for science. However, the fourth claim, which delineates her positive proposal to regulate values in science by distinguishing direct and indirect roles for values, is ambiguous between two interpretations, and both (...) have weaknesses. Fortunately, two elements of Douglas’s work that have previously received much less emphasis provide resources for developing a more promising approach for regulating values in science. (shrink)

Although many philosophers have employed the distinction between “direct” and “indirect” roles for values in science, I argue that it merits further clarification. The distinction can be formulated in several ways: as a logical point, as a distinction between epistemic attitudes, or as a clarification of different consequences associated with accepting scientific claims. Moreover, it can serve either as part of a normative ideal or as a tool for policing how values influence science. While various formulations of the distinction may (...) contribute to a normative ideal, they have limited effectiveness for regulating how values influence science. (shrink)

These are just some of the many controversial and timely questions that Sheila Jasanoff asks in this study of the way science advisers shape federal policy.

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)

Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from the philosophy of science, statistics and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modelling practice. Philosophers of science and scientific practitioners (...) are challenged to reevaluate the assumptions of their own theories - philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better 'applied philosophers'. Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation and theory testing. (shrink)

Few people, if any, still argue that science in all its aspects is a value-free endeavor. At the very least, values affect decisions about the choice of research problems to investigate and the uses to which the results of research are applied. But what about the actual doing of science? -/- As Science, Values, and Objectivity reveals, the connections and interactions between values and science are quite complex. The essays in this volume identify the crucial values that play a role (...) in science, distinguish some of the criteria that can be used for value identification, and elaborate the conditions for warranting certain values as necessary or central to the very activity of scientific research. -/- Recently, social constructivists have taken the presence of values within the scientific model to question the basis of objectivity. However, the contributors to <I>Science, Values, and Objectivity</I> recognize that such acknowledgment of the role of values does not negate the fact that objects exist in the world. Objects have the power to constrain our actions and thoughts, though the norms for these thoughts lie in the public, social world. -/- Values may be decried or defended, praised or blamed, but in a world that strives for a modicum of reason, values, too, must be reasoned. Critical assessment of the values that play a role in scientific research is as much a part of doing good science as interpreting data. (shrink)

1. Deductive and Inductive Inference. Within the traditional treatments of scientific method, e.g., in and, it was customary to divide scientific inference into two parts: deductive and inductive. Deductive inference was taken to mean the activity of deducing theorems from postulates and definitions, whereas inductive inference represented the activity of constructing a general statement from a set of particular “facts.” Deductive inference was relegated to the mathematical sciences, and inductive inference to the empirical sciences. As a consequence, the whole of (...) science was split into two quite distinct parts: deductive science was conceived to start with precise axioms, postulates, and definitions, and its method consisted in drawing inferences from these “givens” in such a way that if the original assumptions are taken as true, then the theorems must be taken as true also. The obligation behind this “must” of the mathematical sciences was an obligation based on strict rules of deductive inference; in the earlier analyses, it was supposed that these rules were all aspects of the general theory of the syllogism, as it was described in an almost complete form in but in later work the rules have been formalized in more general terms. Inductive inference, on the other hand, was supposed to start with observed facts; these facts, or “data,” were presumably given by the senses, and described particular aspects of the external world. If the facts were given in a certain way, then the empirical scientist could “infer” a generalized description; this generalization had the characteristic that if it were granted as true, then all the facts could be deduced as consequences. The inductive process admittedly does not lead to unique generalizations, and the philosopher of science searched for other defining characteristics of good inference, such as “simplicity” and “convenience.” These empirical generalizations were taken to be “descriptions of the phenomenal world of the scientist”; a further inductive step might be taken by constructing a set of very general principles out of the more specialized generalizations within specific research problems. These “higher” inductive inferences were regarded as “theories,” which could be studied by themselves within the method of deductive inference. The scientist was then described as “checking” theory by determining whether or not the predicted consequences deduced from theory actually hold in the phenomenal world. (shrink)

The relationship between science, law and justice has become a pressing issue with US Supreme Court decisions beginning with Daubert v. Merrell-Dow Pharmaceutical. How courts review scientific testimony and its foundation before trial can substantially affect the possibility of justice for persons wrongfully injured by exposure to toxic substances. If courts do not review scientific testimony, they will deny one of the parties the possibility of justice. Even if courts review evidence well, the fact and perception of greater judicial scrutiny (...) increases litigation costs and attorney screening of clients. Mistaken review of scientific evidence can decrease citizen access to the law, increase unfortunate incentives for firms not to test their products, lower deterrence for wrongful conduct and harmful products, and decrease the possibility of justice for citizens injured by toxic substances. This book introduces these issues, reveals the relationships that pose problems, and shows how justice can be denied. (shrink)

One way to do socially relevant investigations of science is through conceptual analysis of scientific terms used in special-interest science (SIS). SIS is science having welfare-related consequences and funded by special interests, e.g., tobacco companies, in order to establish predetermined conclusions. For instance, because the chemical industry seeks deregulation of toxic emissions and avoiding costly cleanups, it funds SIS that supports the concept of "hormesis" (according to which low doses of toxins/carcinogens have beneficial effects). Analyzing the hormesis concept of its (...) main defender, chemical-industry-funded Edward Calabrese, the paper shows Calabrese and others fail to distinguish three different hormesis concepts, H, HG, and HD. H requires toxin-induced, short-term beneficial effects for only one biological endpoint, while HG requires toxin-induced, net-beneficial effects for all endpoints/responses/subjects/ages/conditions. HD requires using the risk-assessment/regulatory default rule that all low-dose toxic exposures are net-beneficial, thus allowable. Clarifying these concepts, the paper argues for five main claims. (1) Claims positing H are trivially true but irrelevant to regulations. (2) Claims positing HG are relevant to regulation but scientifically false. (3) Claims positing HD are relevant to regulation but ethically/scientifically questionable. (4) Although no hormesis concept (H, HG, or HD) has both scientific validity and regulatory relevance, Calabrese and others obscure this fact through repeated equivocation, begging the question, and data-tri mm ing. Consequently (5) their errors provide some undeserved rhetorical plausibility for deregulating low-dose toxins. (shrink)

Gender research archaeology has made significant contributions, but its dissociation from the resources of feminist scholarship and feminist activism is a significantly limiting factor in its development. The essays that make up this special issue illustrate what is to be gained by making systematic use of these resources. Their distinctively feminist contributions are characterized in terms of the recommendations for “doing science as a feminist” that have taken shape in the context of the long running “feminist method debate” in the (...) social sciences. (shrink)

In many toxic-tort cases - notably in Oxendine v. Merrell Dow Pharmaceuticals, Inc, and in Joiner v. G.E., - plaintiffs argue that the expert testimony they wish to present, though no part of it is sufficient by itself to establish causation "by a preponderance of the evidence," is jointly sufficient to meet this standard of proof; and defendants sometimes argue in response that it is a mistake to imagine that a collection of pieces of weak evidence can be any stronger (...) than its individual components. This article draws on the epistemological theory I first presented in 1993 in Evidence and Inquiry, and then amplified and refined in 2003 in Defending Science - Within Reason. This theory of evidence shows that, under certain conditions, a combination of pieces of evidence none of which is sufficient by itself really can warrant a casual conclusion to a higher degree than any of its components alone. When my account is applied to the very complex congeries of evidence typically proffered to prove general causation in these toxic-tort cases, it improves on the influential "Bradford Hill criteria" for assessing causation; and it suggests answers to questions frequently raised in such cases: e.g., whether epidemiological evidence is essential for proof of causation, and whether such evidence should be excluded if it is not statistically significant. Moreover, the argument of this paper reveals that by obliging courts to screen each item of expert testimony individually for reliability, the atomism implicit in Daubert will sometimes stand in the way of an accurate assessment of the worth of complex causation evidence. (shrink)

Environmentalists have advocated the Precautionary Principle (PP) to help guide public and private decisions about the environment. By contrast, industry and its spokesmen have opposed this. There is not one principle, but many that have been recommended for this purpose. Despite the attractiveness of a core idea in all versions of the principle—that decision-makers should take some precautionary steps to ensure that threats of serious and irreversible damage to the environment and public health do not materialize into harm—even one of (...) the most widely endorsed principles needs considerable specification and refinement before it can be used. Moreover, the PP is an approach or guide to utilizing scientific evidence in social or legal decision-making contexts. In this it does not differ in kind from other approaches to using factual information such as in the law. The law provides some models for different strategies to guide decision-making under uncertainty when factual issues cannot be resolved with certainty. These in turn can help guide the formulation of different versions of PP and help clarify some presuppositions of the principle. Once some plausible versions of PP are articulated, I suggest some applications to existing environmental problems. (shrink)

This essay examines the relationship between the precautionary principle and uncertainty factors used by toxicologists to estimate acceptable exposure levels for toxic chemicals from animal experiments. It shows that the adoption of uncertainty factors in the United States in the 1950s can be understood by reference to the precautionary principle, but not by cost-benefit analysis because of a lack of relevant quantitative data at that time. In addition, it argues that uncertainty factors continue to be relevant to efforts to implement (...) the precautionary principle and that the precautionary principle should not be restricted to cases involving unquantifiable hazards. (shrink)

Many people argue that uncertain science—or controversial policies based on science—can be clarified primarily by greater attention to social/political values influencing the science and by greater attention to the vested interests involved. This paper argues that while such clarification is necessary, it is not a sufficient condition for achieving better science and policy; indeed its importance may be overemphasized. Using a case study involving the current, highly politicized controversy over the shape of dose‐response curves for biological effects of ionizing radiation, (...) the paper argues that the conflict could be significantly resolved through specific methodological improvements in the areas of metascience and philosophy of science. These improvements focus on taking account, respectively, of scale, data trimming, aggregation, measurability, and simplicity. (shrink)

Although a strict dichotomy between facts and values is no longer accepted, less attention has been paid to the roles values should play in our acceptance of factual statements, or scientific descriptive claims. This paper argues that values, whether cognitive or ethical, should never preclude or direct belief on their own. Our wanting something to be true will not make it so. Instead, values should only be used to consider whether the available evidence provides sufficient warrant for a claim. This (...) argument is made for all relevant values, including cognitive, ethical, and social values. The rational integrity of science depends not on excluding some values and including others in the reasoning process, but of constraining all values to their proper role in belief acceptance. (shrink)