Science and Values, Misc

The idea that science is or should be value-free, and that values are or should be formed independently of science, has been under fire by philosophers of science for decades. Science and Moral Imagination directly challenges the idea that science and values cannot and should not influence each other. Matthew J. Brown argues that science and values mutually influence and implicate one another, that the influence of values on science is pervasive and must be responsibly managed, and that science can (...) and should have an influence on our values. This interplay, he explains, must be guided by accounts of scientific inquiry and value judgment that are sensitive to the complexities of their interactions. Brown presents scientific inquiry and value judgment as types of problem-solving practices and provides a new framework for thinking about how we might ethically evaluate episodes and decisions in science, while offering guidance for scientific practitioners and institutions about how they can incorporate value judgments into their work. His framework, dubbed “the ideal of moral imagination,” emphasizes the role of imagination in value judgment and the positive role that value judgment plays in science. (shrink)

To identify and conceptualize research problems in science, philosophers and often scientists rely on classical accounts of problems that focus on intellectual problems defined in relation to theories. Recently, philosophers have begun to study the structures and functions of research problems not defined in relation to theories. Furthermore, scientists have long pursued research problems often labeled as practical or applied. As yet, no account of problems specifies the description of both so-called intellectual problems and so-called applied problems. This article proposes (...) a new conceptual framework of problems that accounts both for intellectual aspects of problems and for their practical or applied aspects. I illustrate the account with an example of a recent research project from evolutionary biology, and I indicate further routes by that to develop the account, especially in connection to empirical studies of science. (shrink)

Scientists often diverge widely when choosing between research programs. This can seem to be rooted in disagreements about which of several theories, competing to address shared questions or phenomena, is currently the most epistemically or explanatorily valuable—i.e. most successful. But many such cases are actually more directly rooted in differing judgments of pursuit-worthiness, concerning which theory will be best down the line, or which addresses the most significant data or questions. Using case studies from 16th-century astronomy and 20th-century geology and (...) biology, I argue that divergent theory choice is thus often driven by considerations of scientific process, even where direct epistemic or explanatory evaluation of its final products appears more relevant. Broadly following Kuhn’s analysis of theoretical virtues, I suggest that widely shared criteria for pursuit-worthiness function as imprecise, mutually-conflicting values. However, even Kuhn and others sensitive to pragmatic dimensions of theory ‘acceptance’, including the virtue of fruitfulness, still commonly understate the role of pursuit-worthiness—especially by exaggerating the impact of more present-oriented virtues, or failing to stress how ‘competing’ theories excel at addressing different questions or data. This framework clarifies the nature of the choice and competition involved in theory choice, and the role of alternative theoretical virtues. (shrink)

This paper articulates and defends three interconnected claims: first, that the debate on the role of values for science misses a crucial dimension, the institutional one; second, that institutions occupy the intermediate level between scientific activities and values and that they are to be systematically integrated into the analysis; third, that the appraisal of the institutions of science with respect to values should be undertaken within the premises of a comparative approach rather than an ideal approach. Hence, I defend the (...) view that the issue be framed in reference to the following question: "What kind of institutional rules should be in place in order for the scientific process to unfold in such a way that the values that we deem more important come to the fore?" Addressing this concern is equivalent to conducting a debate on institutions and their role for science. (shrink)

Social and medical scientists frequently produce empirical generalizations that involve concepts partly defined by value judgments. These generalizations, which have been called ‘mixed claims’, raise interesting questions. Does the presence of them in science imply that science is value-laden? Is the value-ladenness of mixed claims special compared to other kinds of value-ladenness of science? Do we lose epistemically if we reformulate these claims as conditional statements? And if we want to allow mixed claims in science, do we need a new (...) account of how to reconcile values with objectivity? Alexandrova (2017, 2018) offers affirmative answers to these questions. In responding to Alexandrova’s arguments, this discussion note motivates negative ones and in doing so casts new light on mixed claims. (shrink)

Comparative psychology, the multidisciplinary study of animal behavior and psychology, confronts the challenge of how to study animals we find cute and easy to anthropomorphize, and animals we find odd and easy to objectify, without letting these biases negatively impact the science. In this Element, Kristin Andrews identifies and critically examines the principles of comparative psychology and shows how they can introduce other biases by objectifying animal subjects and encouraging scientists to remain detached. Andrews outlines the scientific benefits of treating (...) animals as sentient research participants who come from their own social contexts and with whom we will be in relationship. With discussions of science's quest for objectivity, worries about romantic and killjoy theories, and debates about chimpanzee cognition between primatologists who work in the field and those in the lab, Andrews shows how scientists can address the different biases through greater integration of the subdisciplines of comparative psychology. (shrink)

Philosophy and Phenomenological Research, EarlyView.

In a very short time, it is likely that we will identify many of the genetic variants underlying individual differences in intelligence. We should be prepared for the possibility that these variants are not distributed identically among all geographic populations, and that this explains some of the phenotypic differences in measured intelligence among groups. However, some philosophers and scientists believe that we should refrain from conducting research that might demonstrate the (partly) genetic origin of group differences in IQ. Many scholars (...) view academic interest in this topic as inherently morally suspect or even racist. The majority of philosophers and social scientists take it for granted that all population differences in intelligence are due to environmental factors. The present paper argues that the widespread practice of ignoring or rejecting research on intelligence differences can have unintended negative consequences. Social policies predicated on environmentalist theories of group differences may fail to achieve their aims. Large swaths of academic work in both the humanities and social sciences assume the truth of environmentalism and are vulnerable to being undermined. We have failed to work through the moral implications of group differences to prepare for the possibility that they will be shown to exist. (shrink)

I examine how Heather Douglas’ account of values in science applies to the assessment of actual cases of scientific practice. I focus on the case of applied toxicologists’ acceptance of molecular evidence-gathering methods and evidential sources. I demonstrate that a set of social and institutional processes plays a philosophically significant role in changing toxicologists’ inductive risk judgments about different kinds of evidence. I suggest that Douglas’ inductive risk framework can be integrated with a suitable account of evidence, such as Helen (...) Longino’s contextual empiricism, to address the role of social context in the cases like the one examined here. I introduce such an integrated account and show how Longino’s contextual empiricism and inductive risk framework fruitfully complement each other in analyzing the novel aspects of the toxicology case. (shrink)

Introduction to the Synthese Special Issue on Disagreement in Science.

The proper role of non-epistemic values such as moral, political, and social values in practices of justification of policy-relevant hypotheses has recently become one of the central questions in philosophy of science. This strand of research has yielded conceptual clarifications and significant insight into the complex and notoriously contentious issue of the proper relationship between science, non-epistemic values, and policymaking. A central part of this discussion revolves around whether scientists should aspire for the value-free ideal, according to which non-epistemic values (...) are unacceptable in the justification of hypotheses. By so doing, scientists can... (shrink)

For over 40 years, Mary Midgley made a forceful case for the relevance and importance of philosophy. With characteristic wit and wisdom, she drew special attention to the ways in which our thought influences our everyday lives. Her wide-ranging explorations of human nature and the self; our connections with animals and the natural world; and the complexities of morality, gender, science, and religion all contributed to her reputation as one of the most expansive and compelling moral philosophers of the twentieth (...) century. -/- Mary Midgley: An Introduction is the first substantive introduction to Midgley's influential philosophy on the human condition. -/- This volume, supplemented by original interviews with Midgley, outlines the concepts and perspectives for which she is best known and illuminates the philosophical problems to which she devoted her life's work. -/- Table of Contents -/- 1. Philosophical Plumbing 2. Human Nature and the Self 3. Morality and Wholeness 4. Animals and Why They Matter 5. Our Connection to Nature 6. Gender and Fragmentation 7. Science in Context 8. Religion, Science, and Complexity 9. Afterword: One World, But A Big One -/- Bibliography Index. (shrink)

This chapter offers an overview of the Epicurean conception of philosophy, with special attention to the value of physics. The Epicureans value physics not only for its ability to help remove superstitious beliefs about the gods and death, but also for its ability to stabilize our beliefs and to give causal accounts of ethically-relevant kinds such as pleasure and desire.

Democracy hinges on the personal and civic decision-making capabilities of publics. In our increasingly technoscientific world, being well-informed requires an understanding of science. Despite acknowledging public understanding of science as an important part of being well-informed, publics’ engagement with science remains limited. I argue that part of publics’ disengagement with science is because information transmitted about science, like science itself, has been decontextualized. Though there are many ways to decontextualize information, obscuring values in science is a popular means of doing (...) so. Due to the ubiquitous nature of values, science misrepresented as ‘value-free’ will be the focus of my decontextualization critique. Epistemic values and non-epistemic values are the sorts of values that have been misrepresented by views like the value-free ideal. The VFI is the idea that non-epistemic values should not play a role in the evaluation of evidence and has been heavily criticized on practical and normative grounds. This has led to alternatives to the VFI being proposed, including ways for non-epistemic values to be included in the evaluation of evidence. In a yet to be explored implication of the VFI, I argue that models of science education and communication that accommodate the VFI have been popularized as a way to reinforce decontextualization. These models describe science and publics with only a minimal account of values, leading me to challenge them on practical and normative grounds since communicating science as ‘value-free’ is misrepresentative, and from a normative perspective undesirable, especially as including values can help engage publics. In response, I advocate for value-conscious descriptions of science instead. To catalyze this contextualization, I introduce key aspects for understanding values in science and call them the ‘KAUVIS’. By using a basis of transparency between scientists and publics, the KAUVIS provides a means to describe how values interact with science without dictating which values are the correct ones. The KAUVIS includes descriptions of the roles values take on, how values relate to the goals of research, and considers epistemic and ethical values. Hence, the KAUVIS can more accurately represent science than the VFI, and in so doing, contextualizes information about science in relation to research goals and social needs, making science more engaging. By developing the KAUVIS to describe values, I also show that traditional information transmission models are maladapted to conveying the true value- laden nature of science. As a consequence, I examine more value-conscious communication models which I show to be enhanced by the descriptive detail of the KAUVIS. However, unveiling the inner workings of values in science may also have negative consequences for how publics interpret and engage with science. After all, exposing values in science can lead to further dispute about science. Hence, the KAUVIS opens up questions like, what is lost by divulging values in science? My initiatory examination of the drawbacks of being explicit about values will uncover that even though there is a risk that publics may reject scientific claims, an understanding of values in science is desirable for decision-making and deliberation. In other words, a description of values can serve to clarify how they are being used, and help define what it is we are in disagreement about. Thus, by more accurately representing science and values, we might strengthen democracy by better providing publics the contextualized information they need for science to be of service. (shrink)

Scientific evidence and scientific values under risk and uncertainty are strictly connected from the point of view of Peirce’s pragmaticism. In addition, economy and statistics play a key role in both choosing and testing hypotheses. Hence we may show also the connection between the methodology of the economy of research and statistical frequentism, both originating from pragmaticism. The connection is drawn by the regulative principles of synechism, tychism and uberty. These principles are values that have both epistemic and non-epistemic dimension. (...) They concern both the decisions to test a hypothesis as well as inductive risk. The validity of this result stems from the values cost–benefit analysis imposes on scientific inquiry. Values associated with the economy of research are important not only in the pre-test phases of generating hypotheses but also when hypotheses are effectively tested. Peirce took these economic considerations to leave room for an interpretation of probability which is not only a frequentist and propensity-theoretic but also a conceptualist one referring to degrees of belief. We show that this leeway nonetheless agrees with the theory of the economy of scientific methods. (shrink)

ABSTRACTThis paper re-interprets the precautionary principle as a ‘social epistemic rule’. First, it argues that sometimes policy-makers should act on claims which have not been scientifically established. Second, it argues that, given how scientists ought to solve ‘inductive risk’ problems, such guidance is required not only under actual conditions, but under any plausible conditions. Third, it suggests that procedural fairness may provide policy-makers with reasons to be very reluctant to act on claims which are not scientifically established. The restriction of (...) precautionary reasoning to contexts of significant environmental or public health disaster may respond to this problem. (shrink)

This article argues that the controversy over genetically modified crops is best understood not in terms of the supposed bias, dishonesty, irrationality, or ignorance on the part of proponents or critics, but rather in terms of differences in values. To do this, the article draws on and extends recent work of the role of values and interests in science, focusing particularly on inductive risk and epistemic risk, and it shows how the GMO debate can help to further our understanding of (...) the various epistemic risks that are present in science and how these risks might be managed. (shrink)

After raising some minor philosophical points about Kevin Elliott’s A Tapestry of Values (2017), I argue that we should expand on the themes raised in the book and that philosophers of science need to pay as much attention to the loom of science (i.e., the institutional structures which guide the pursuit of science) as the tapestry of science. The loom of science includes such institutional aspects as patents, funding sources, and evaluation regimes that shape how science gets pursued, and that (...) attending to these aspects will enable us to provide more robust guidance on the values that infuse the tapestry of science. (shrink)

It is now commonly held that values play a role in scientific judgment, but many arguments for that conclusion are limited. First, many arguments do not show that values are, strictly speaking, indispensable. The role of values could in principle be filled by a random or arbitrary decision. Second, many arguments concern scientific theories and concepts which have obvious practical consequences, thus suggesting or at least leaving open the possibility that abstruse sciences without such a connection could be value-free. Third, (...) many arguments concern the role values play in inferring from evidence, thus taking evidence as given. This paper argues that these limitations do not hold in general. There are values involved in every scientific judgment. They cannot even conceivably be replaced by a coin toss, they arise as much for exotic as for practical sciences, and they are at issue as much for observation as for explicit inference. (shrink)

Understanding science requires appreciating the values it presupposes and its social context. Both the values that scientists hold and their social context can affect scientific communication. Philosophers of science have recently begun studying scientific communication, especially as it relates to public policy. Some have proposed “guiding principles for communicating scientific findings” to promote trust and objectivity. This paper contributes to this line of research in a novel way using behavioural experimentation. We report results from three experiments testing judgments about the (...) trustworthiness, competence and objectivity of scientists. More specifically, we tested whether such judgments are affected by three factors: consulting or not consulting nonscientists, conducting research under a restrictive or non-restrictive governmental communication policy, and the source of a lab’s funding. We found that each of these factors affects ordinary judgments of trustworthiness, competence and objectivity. These findings support several recommendations that could help improve scientific communication and communication policies. (shrink)

What are the features of a good scientific theory? Samuel Schindler's book revisits this classical question in the philosophy of science and develops new answers to it. Theoretical virtues matter not only for choosing theories 'to work with', but also for what we are justified in believing: only if the theories we possess are good ones can we be confident that our theories' claims about nature are actually correct. Recent debates have focussed rather narrowly on a theory's capacity to predict (...) new phenomena successfully, but Schindler argues that the justification for this focus is thin. He discusses several other theory properties such as testability, accuracy, and consistency, and highlights the importance of simplicity and coherence. Using detailed historical case studies and careful philosophical analysis, Schindler challenges the received view of theoretical virtues and advances arguments for the view that science uncovers reality through theory. (shrink)

Science is one of the most important forces in contemporary society. The most reliable source of knowledge about the world, science shapes the technological possibilities before us, informs public policy, and is crucial to measuring the efficacy of public policy. Yet it is not a simple repository of facts on which we can draw. It is an ongoing process of evidence gathering, discovery, contestation, and criticism. I will argue that an understanding of the nature of science and the scientific process (...) should be the central goal for scientific literacy, rather than a grasp of specific (often disciplinary) facts. With this understanding of science as a backdrop, the paper then turns to modes for citizen engagement with science. This paper articulates different ways citizens can engage with science, including four avenues for legitimate contestation of scientific claims. I then look more closely at contestation of science on the basis of values. That science can be legitimately contested by non-experts on a range of grounds means that science communication should not just aim at getting citizens to accept scientific claims, but rather to engage in a more robust two-way conversation about science. (shrink)

Some prominent scientists and philosophers have stated openly that moral and political considerations should influence whether we accept or promulgate scientific theories. This widespread view has significantly influenced the development, and public perception, of intelligence research. Theories related to group differences in intelligence are often rejected a priori on explicitly moral grounds. Thus the idea, frequently expressed by commentators on science, that science is “self-correcting”—that hypotheses are simply abandoned when they are undermined by empirical evidence—may not be correct in all (...) contexts. In this paper, documentation spanning from the early 1970s to the present is collected, which reveals the influence of scientists’ moral and political commitments on the study of intelligence. It is suggested that misrepresenting findings in science to achieve desirable social goals will ultimately harm both science and society. (shrink)

The importance of science for guiding policy decisions has been an increasingly central feature of policy-making for much of the past century. But which science we have available to us and what counts as adequate science for policy-making shapes substantially the specific impact science has on policy decisions. Policy influences which science we pursue and how we pursue it in practice, as well as how science ultimately informs policy. Values inform our choices in these areas, as values shape the research (...) agendas scientists pursue, the issues debated as we decide on policy, and what counts as sufficient warrant in any given case. And what we value is shaped by our empirical understanding of what is, what is... (shrink)

Defenders of value-free science appeal to cognitive attitudes as part of a wedge strategy, to mark a distinction between science proper and the uses of science for decision-making, policy, etc. Distinctions between attitudes like belief and acceptance have played an important role in defending the value-free ideal. In this paper, I will explore John Dewey's pragmatist philosophy of science as an alternative to the philosophical framework the wedge strategy rests on. Dewey does draw significant and useful distinctions between different sorts (...) of cognitive attitudes taken by inquirers, but none can be used to support the wedge strategy. (shrink)

In recent years, the argument from inductive risk against value free science has enjoyed a revival. This paper investigates and clarifies this argument through means of a case-study: neonicitinoid research. Sect. 1 argues that the argument from inductive risk is best conceptualised as a claim about scientists’ communicative obligations. Sect. 2 then shows why this argument is inapplicable to “public communication”. Sect. 3 outlines non-epistemic reasons why non-epistemic values should not play a role in public communicative contexts. Sect. 4 analyses (...) the implications of these arguments both for the specific case of neonicitinoid research and for understanding the limits of the argument from inductive risk. Sect. 5 sketches the broader implications of my claims for understanding the “Value Free Ideal” for science. (shrink)

The moral terrain of science, the full range of ethical considerations that are part of the scientific endeavor, has not been mapped. Without such a map, we cannot examine the responsibilities of scientists to see if the institutions of science are adequately constructed. This paper attempts such a map by describing four dimensions of the terrain: (1) the bases to which scientists are responsible (scientific reasoning, the scientific community, and the broader society); (2) the nature of the responsibility (general or (...) role); (3) the level of responsibility (minimum demand or ideal); and (4) who bears the responsibility (the individual or the community). Such a map will be used to elucidate the recent debate over the publication of studies concerning H5N1 flu virus. (shrink)

Many people want to hold that some theoretical virtues—simplicity, elegance, familiarity or others—are only pragmatic virtues. That is, these features do not give us any more reason to think a theory is true, or close to true, but they justify choosing one theoretical option over another because they are desirable for some other, practical purpose. Using pragmatic virtues in theory choice apparently brings with it a dilemma: if we are deciding what to accept on the basis of considerations that are (...) not truth-conducive, it looks like we should either refrain from believing what we accept, and adopt some sort of instrumentalist attitude to the theories we cherish; or alternatively, we stand charged with engaging in theoretical irrationality in our belief formation. This paper discusses the appropriate response to this dilemma. (shrink)

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)

In recent years, philosophy of science has witnessed a significant increase in attention directed toward the field’s social relevance. This is demonstrated by the formation of societies with related agendas, the organization of research symposia, and an uptick in work on topics of immediate public interest. The collection of papers that follows results from one such event: a 3-day colloquium on the subject of socially engaged philosophy of science held at the University of Cincinnati in October 2012. In this introduction, (...) we first survey the recent history of philosophy of science’s social involvement and contrast this with the much greater social involvement of the sciences themselves. Next, we argue that the field of philosophy of science bears a special responsibility to contribute to public welfare. We then introduce as a term of art “SEPOS” and articulate what we take to be distinctive about social engagement, with reference to the articles in this collection as exemplars. Finally, we survey the current state of social engagement in philosophy of science and suggest some practical steps for individuals and institutions to support this trajectory. (shrink)

The “context of discovery” and “context of justification” distinction has been used by Noretta Koertge and Lynn Hankinson Nelson in debates over the legitimacy of feminist approaches to philosophy of science. Koertge uses the context distinction to focus the conversation by barring certain approaches. I contend this focus masks points of true disagreement about the nature of justification. Nonetheless, Koertge raises important questions that have been too quickly set aside by some. I conclude that the context distinction should not be (...) used to block feminist philosophy of science because the use of the context distinction is deeply ambiguous, masking underlying debates about naturalism and the nature of justification. (shrink)

Against the ideal of value-free science I argue that science is not––and cannot be––value-free and that relevant values are both cognitive and moral. I develop an argument by indicating various aspects of the value-ladenness of science. The recognition of the value-ladenness of science requires rethinking our understanding of the rationality and responsibility of science. Its rationality cannot be seen as merely instrumental––as it was seen by the ideal of value-free science––for this would result in limiting the autonomy of science and (...) reducing scientists to “minds to hire”. The scientific rationality must be seen as practical rationality which takes into account the full horizon of values. The scientific responsibility must also be broaden in scope and type. On this basis I draw three practical conclusions concerning the organization of research and training of young scientists, appealing to Plato’s claim that those most capable of healing are also those most capable of harming. (shrink)

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.

Urban sprawl’s negative impacts have been amply demonstrated, starting as long as 30 years ago, and most North American urban plans have, somewhere, reference to sprawl as bad policy. Yet North Americans continue to tolerate the construction of more and more suburban subdivisions. This paper suggests an answer to this paradox. We argue that sprawl’s attractiveness – if one can call it that – is buried deep in North American cultural predispositions, which we trace to quite specific interpretations of the (...) mechanistic worldview that emerged from 17th and 18th century revolutions in natural philosophy. North American culture is a scientific culture as well as a suburban one. If mechanistic science and its peculiar view of nature is so pervasive and if suburban sprawl is both pervasive and dysfunctional, then this particular form of science and its cultural roots need to be carefully examined. We do this from the perspective of the 21st century, when quantum physics and new discoveries in the ecological and biological sciences are suggesting that many commonly accepted assumptions about physical reality inherited from 17th and 18th century science are flawed. (shrink)

He also focuses on discussions of 'development', especially in Third World countries. This paperback edition includes a new preface.

the virtues which are desirable for scientific theories to possess. In this paper I discuss the several species of theoretical virtues called 'fertility', and argue in each case that the desirability of 'fertility' can be explicated in terms of other, more fundamental theoretical virtues.