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)

Proponents of the value ladenness of science rely primarily on arguments from underdetermination or inductive risk, which share the premise that we should only consider values where the evidence runs out or leaves uncertainty; they adopt a criterion of lexical priority of evidence over values. The motivation behind lexical priority is to avoid reaching conclusions on the basis of wishful thinking rather than good evidence. This is a real concern, however, that giving lexical priority to evidential considerations (...) over values is a mistake and unnecessary for avoiding the wishful thinking. Values have a deeper role to play in science. (shrink)

This paper argues that the appraisal of theory is in important respects closer in structure to value-judgement than it is to the rule-governed inference that the classical tradition in philosophy of science took for granted.

Scientists often use aesthetic values in the evaluation and choice of theories. Aesthetic values are not only regarded as leading to practically more useful theories but are often taken to stand in a special epistemic relation to the truth of a theory such that the aesthetic merit of a theory is evidence of its truth. This paper explores what aesthetic considerations influence scientists' reasoning, how such aesthetic values relate to the utility of a scientific theory, and how (...) one can justify the epistemic role for such values. The paper examines ways in which the link between beauty and truth can be defended, the challenges facing such accounts, and explores alternative epistemic roles for aesthetic values in scientific practice. (shrink)

The debate about the rational and the social in science has sometimes been developed in the context of a distinction between epistemic and non-epistemic values. Paying particular attention to two important discussion in the last decade, by Longino and by McMullin, I argue that a fuller understanding of values in science ultimately requires abandoning the distinction itself. This is argued directly in terms of an analysis of the lack of clarity concerning what epistemic values are. (...) I also argue that the philosophical import of much of the feminist work in philosophy of science is restricted by any kind of strict adherence to the distinction. (shrink)

How to deal with non-epistemic values in science presents a pressing problem for science and society as well as for philosophers of science. In recent years, accounts of democratizing science have been proposed as a possible solution to this. By providing a case study on the establishment of the Intergovernmental Science-Policy comment: Platform on Biodiversity and Ecosystem Services comment: (IPBES), I argue that such accounts run into a problem when values are embedded in (...) the general scientific and societal setup to such an extent that they shape the terrain upon which such a democratization needs to take place. I introduce the notion of particularities as manifestations of values in science and state a problem of particularity, posed by the ways in which the interactive dimension of particularities interferes with democratic procedures for resolving value judgements in science. As a possible remedy, I propose enriching accounts of democratizing science by agonistic theories of democracy. (shrink)

This Element introduces the philosophical literature on values in science by examining four questions: How do values influence science? Should we actively incorporate values in science? How can we manage values in science responsibly? What are some next steps for those who want to help promote responsible roles for values in science? It explores arguments for and against the “value-free ideal” for science and concludes that it should be rejected. (...) Nonetheless, this does not mean that value influences are always acceptable. The Element explores a range of strategies for distinguishing between appropriate and inappropriate value influences. It concludes by proposing an approach for managing values in science that relies on justifying, prioritising, and implementing norms for scientific research practices and institutions. (shrink)

A century ago, nearly all of those who wrote about the nature of science would have been in agreement that science ought to be “value‐free.” This had been a particular emphasis on the part of the first positivists, as it would later be on the part of their twentieth‐century successors. Science, so it was said, deals with facts, and facts and values are irreducibly distinct. Facts are objective; they are what we seek in our knowledge of (...) the world. Values are subjective; they bear the mark of human interest; they are the radically individual products of feeling and desire. Fact and value cannot, therefore, mix. Value cannot be inferred from fact; fact ought not be influenced by value. There were philosophers, notably some in the Kantian tradition, who viewed the relation of the human individual to the universalist aspirations of science rather differently. But the legacy of three centuries of largely empiricist reflection on the “new” sciences ushered in by Galileo and his successors was as unqualified in its distrust of value as in its extolling of the virtues of fact (see galileo). (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)

Much of the literature on values in science is limited in its perspective because it focuses on the role of values in individual scientists’ decision making, thereby ignoring the context of scientific collaboration. I examine the epistemic structure of scientific collaboration and argue that it gives rise to two arguments showing that moral and social values can legitimately play a role in scientists’ decision to accept something as scientific knowledge. In the case of scientific collaboration some (...) moral and social values are properly understood to be extrinsic epistemic values, that is, values that promote the attainment of scientific knowledge. (shrink)

Philosophers of science now broadly agree that doing good science involves making non-epistemic value judgments. I call attention to two very different normative standards which can be used to evaluate such judgments: standards grounded in ethics and standards grounded in political philosophy. Though this distinction has not previously been highlighted, I show that the values in science literature contain arguments of each type. I conclude by explaining why this distinction is important. Seeking to determine whether some (...) value-laden determination meets substantive ethical standards is a very different endeavor from seeking to determine if it is politically legitimate. (shrink)

Values intersect with science in three primary ways. First, there are values, particularly epistemic values, which guide scientific research itself. Second, the scientific enterprise is always embedded in some particular culture and values enter science through its individual practitioners, whether consciously or not. Finally, values emerge from science, both as a product and process, and may be redistributed more broadly in the culture or society. Also, scientific discoveries may pose new social challenges (...) about values, though the values themselves may be conventional. Several questions help guide disciplined inquiry into ethics and values. (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)

In the first half of the 20 th century, philosophers of science used to sustain that the correct theory acceptance in science derived from their conforming to certain rules. However, from the historicist and practical turn in the philosophy of science, the theory acceptance started to be analyzed based on values rather than on a priori established rules. In this article, I will present four paradigmatic positions on the role of values in science. The (...) first position, articulated by Hugh Lacey, defends a regulative ideal of 'impartiality' in the acceptance of scientific theories as established. The other positions convey arguments that seem to conflict with this ideal. I characterize them as 'blind spot argument', 'inductive risk argument' and 'trust-based acceptance argument'. Based on this analysis, I will defend two main theses. My first thesis is that the ideal of impartiality is compatible with the arguments just mentioned. My second thesis is that the defense of impartiality has the advantage of providing a support for the epistemic authority of properly established scientific knowledge. Following Lacey, I will argue that theories can only be accepted as established under specified domains of phenomena. However, theories are accepted for other purposes, for example, when they are adopted to develop research or when they are endorsed to inform the legitimacy of an action. In such cases of theory acceptance, impartiality is neither possible nor desirable, which requires the support of other ideals. (shrink)

While classical neo-positivists reject any role for traditionally understood values in science, Kuhn identifies five specific values as criteria for assessing a scientific theory; this approach has been further developed by several other authors. This paper focuses on Helen Longino, who presents a significant contemporary critique of Kuhn’s concept. The most controversial aspect of Longino’s position is arguably her claim that the criterion of empirical adequacy is the least defensible basis for assessing theories. The de-emphasizing of the (...) importance of external consistency as a value and the introduction of socio-political considerations into the processes of an assessment of scientific theories are also considered problematic issues. I provide arguments against Longino’s conception, identify some of its problems, and argue for refusal of her approach. (shrink)

Many philosophers of science have argued that social and ethical values have a significant role to play in core parts of the scientific process. This naturally suggests the following question: when such value choices need to be made, which or whose values should be used? A common answer to this question turns to democratic values—the values of the public or its representatives. I argue that this imposes a morally significant burden on certain scientists, effectively requiring (...) them to advocate for policy positions they strongly disagree with. I conclude by discussing under what conditions this burden might be justified. (shrink)

Underdetermination arguments support the conclusion that no amount of empirical data can uniquely determine theory choice. The full content of a theory outreaches those elements of it (the observational elements) that can be shown to be true (or in agreement with actual observations).2 A number of strategies have been developed to minimize the threat such arguments pose to our aspirations to scientific knowledge. I want to focus on one such strategy: the invocation of additional criteria drawn from a pool of (...) cognitive or theoretical values, such as simplicity or generality, to bolster judgements about the worth of models, theories, and hypotheses. What is the status of such criteria? Larry Laudan, in Science and Values, argued that cognitive values could not be treated as self-validating, beyond justification, but are embedded in a three-way reticulational system containing theories, methods, and aims or values, which are involved in mutually supportive relationships (Laudan, 1984). My interest in this paper is not the purportedly self-validating nature of cognitive values, but their cognitive nature. Although Laudan rejects the idea that what he calls cognitive values are exempt from rational criticism and disagreement, he does seem to think that the reticulational system he identifies is independent of non-cognitive considerations. It is this cognitive/non-cognitive distinction that I wish to query in this paper. Let me begin by summarizing those of my own views about inquiry in which this worry about the distinction arises. (shrink)

There are at least two different ways in which values and science can be connected. One is through the evaluation of science, and the other is through the scientific investigation of values. The evaluation of science is a non−scientific, political or ethical investigation of the practices of science. Various proposed and actual scientific practices call out for social and ethical evaluation. A few that have received recent attention are the human genome project, intelligence testing, (...) and encryption algorithms. Such evaluations of science contrasts sharply with what I call "the science of values." This is not one science or even one unified nexus of scientific activities but a loosely defined grab bag containing all scientific investigations of matters involving values. (shrink)

In the early 20th century, science was supposed to be “value free”. In 1953 Richard Rudner claimed that “the scientist qua scientist makes value judgments”, and later philosophers discussed the relations between science and values. From the 60’s onward Michael Scriven and other authors came to the conclusion that non-moral values (intrinsic or epistemic values) are required to evaluate scientific works. This paper supports this general view. However, it stresses that there are several independent scientific (...) values, corresponding to a multi-dimensional value space, and for this reason it is commonly impossible to compare the scientific worth of two different scientific contributions. Scientific values can be used to guide and to evaluate scientific research. However, the result is not a linear succession of better and better theories, but a proliferation of different theories and hypotheses, each of them fulfilling only a few desiderata. RESUMEN: A principios del siglo XX se suponía que la ciencia era “libre de valores”. En 1953 Richard Rudner concedió que “el científico cómo científico hace juicios de valor”, y filósofos posteriores discutieron las relaciones entre la ciencia y los valores. De los años 60 hacia delante, Michael Scriven y otros autores llegaron a la conclusión que valores no-morales (valores científicos intrínsecos o epistémicos) son requeridos para evaluar trabajos científicos. El presente trabajo utiliza esta perspectiva general. Sin embargo, enfatiza que hay muchos valores científicos independientes, correspondiendo a un espacio multidimensional de valores, y por esta razón es comúnmente imposible comparar los valores científicos de dos contribuciones científicas diversas. Los valores científicos se pueden utilizar para dirigir y para evaluar la investigación científica. Sin embargo, el resultado no es una sucesión linear de teorías mejores y mejores, sino una proliferación de teorías y hipótesis diversas, y cada una de ellas satisfaz solamente algunos desiderata. (shrink)

The paper is a critical examination of some aspects of Laudan's views in his book Science and Values. Not only do the aims of science change; there are axiological disputes in science as well. Scientific disagreements are not solely theoretical or methodological. Progress in science consists not only in developing new theories more suitable for implementing certain epistemic values than earlier ones but also in reaching a deeper understanding of those values. The paper (...) considers whether there are principles to guide axiological choices in science, whether the task of assessing the legitimacy of goals makes any sense. Larry Laudan's criteria to settle questions concerning the aims of science are critically canvassed. According to Laudan, axiological choices are on the same footing as the theoretical and methodological ones: all of them may be objectively grounded. The generality of the principles and their naturalistic flavour are the most remarkable merits of Laudan's account but the results are rather meagre. His principle of coherence may be, in the end, a mere a posteriori justification of changes in axiological direction carried out by the scientific community. The rejection of a demonstrable utopian goal, granting naturalistic assumptions, is completely sound but it has a very limited scope. The paper suggests that science could not demonstrate much about goals. From the rejection of semantic utopianism we can draw a need for a previous clarification rather than sustantive criticisms and, finally, Laudan's charge of epistemic utopianism is very controversial. (shrink)

We argue that the analysis of cognitive attitudes should play a central role in developing more sophisticated accounts of the proper roles for values in science. First, we show that the major recent efforts to delineate appropriate roles for values in science would be strengthened by making clearer distinctions among cognitive attitudes. Next, we turn to a specific example and argue that a more careful account of the distinction between the attitudes of belief and acceptance can (...) contribute to a better understanding of the proper roles for values in a case study from paleoanthropology. (shrink)

Several feminist philosophers of science have tried to open up the possibility that feminist ethical or political commitments could play a positive role in good science by appealing to the Duhem-Quine thesis and underdetermination of theories by observation. I examine several different interpretations of the claim that feminist values could play a legitimate role in theory justification and show that none of them follow from a logical gap between theory and observation. Finally, I sketch an alternative approach (...) for defending the possibility that feminist political commitments could play a legitimate role in science. (shrink)

The role of values in scientific research has become an important topic of discussion in both scholarly and popular debates. Pundits across the political spectrum worry that research on topics like climate change, evolutionary theory, vaccine safety, and genetically modified foods has become overly politicized. At the same time, it is clear that values play an important role in science by limiting unethical forms of research and by deciding what areas of research have the greatest relevance for (...) society. Deciding how to distinguish legitimate and illegitimate influences of values in scientific research is a matter of vital importance.Recently, philosophers of science have written a great deal on this topic, but most of their work has been directed toward a scholarly audience. This book makes the contemporary philosophical literature on science and values accessible to a wide readership. It examines case studies from a variety of research areas, including climate science, anthropology, chemical risk assessment, ecology, neurobiology, biomedical research, and agriculture. These cases show that values have necessary roles to play in identifying research topics, choosing research questions, determining the aims of inquiry, responding to uncertainty, and deciding how to communicate information. Kevin Elliott focuses not just on describing roles for values but also on determining when their influences are actually appropriate. He emphasizes several conditions for incorporating values in a legitimate fashion, and highlights multiple strategies for fostering engagement between stakeholders so that value influences can be subjected to careful and critical scrutiny. (shrink)

This article examines the concept of wishful thinking in philosophical literature on science and values. It suggests that this term tends to be used in an overly broad manner that fails to distinguish between separate types of bias, mechanisms that generate biases, and general theories that might explain those mechanisms. I explain how confirmation bias is distinct from wishful thinking and why it is more useful for examining the relationship between cognitive bias and beliefs about the existence of (...) injustices. (shrink)

English summary: This paper uses research on the COVID-19 pandemic as the backdrop for an accessible discussion of the value and status of science, and of the role of valuesin science. In particular, the paper seeks to debunk three common myths or dogmas about scientific research: (i) that there is such a thing as 'scientific proof' of a theory or hypothesis, (ii) that disagreement is necessarily unhealthy or unnatural in science, (iii) and that personal values play (...) no role in scientific research. (shrink)

The value-free ideal for science holds that values should not influence the core features of scientific reasoning. We defend the difference-to-inference model of value-permeation, which holds that value-permeation in science is problematic when values make a difference to the inferences made about a hypothesis. This view of value-permeation is superior to existing views, and it suggests a corresponding maxim—namely, that scientists should strive to eliminate differences to inference. This maxim is the basis of a novel value-free (...) ideal for science. -/- . (shrink)

It is shown that moral values are constitutive of the scientific process and therefore, contrary to the traditional view, not incidental to it.

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)

Straightening the current ‘value-laden turn’ (VLT) in the philosophical literature on values in science, and reviving the legacy of the value-free ideal of science (VFI), this paper argues that the influence of extra-scientific values should be minimised—not excluded—in the core phase of scientific inquiry where claims are accepted or rejected. Noting that the original arguments for the VFI (ensuring the truth of scientific knowledge, respecting the autonomy of science results users, preserving public trust in (...) class='Hi'>science) have not been satisfactorily addressed by proponents of the VLT, it proposes four prerequisites which any model for values in the acceptance/rejection phase of scientific inquiry should respect, coming from the fundamental requirement to distinguish between facts and values: (1) the truth of scientific knowledge must be ensured; (2) the uncertainties associated with scientific claims must be stated clearly; (3) claims accepted into the scientific corpus must be distinguished from claims taken as a basis for action. An additional prerequisite of (4) simplicity and systematicity is desirable, if the model is to be applicable. Methodological documents from international institutions and regulation agencies are used to illustrate the prerequisites. A model combining Betz’s conception (stating uncertainties associated with scientific claims) and Hansson’s corpus model (ensuring the truth of the scientific corpus and distinguishing it from other claims taken as a basis for action) is proposed. Additional prerequisites are finally suggested for future research, stemming from the requirement for philosophy of science to self-reflect on its own values: (5) any model for values in science must be descriptively and normatively relevant; and (6) its consequences must be thoroughly assessed. (shrink)

The paper has two interconnected objectives. It argues that the intrinsic epistemic value of testimonies can be reduced to their moral and social values, that is, to their competent, conscientious, and honest performance. Consequently, competence, conscientiousness, and honesty are intrinsic epistemic values in science. The second objective is to offer an answer to the questions why and under what conditions a hearer can rationally accept a testimony in science. The values and subsequent norms of testimony (...) are espoused and strictly enforced by the scientific community. The norms of testimony ensure that rule-following scientists testify competently, conscientiously, and honestly. Due to value reduction, such testimonies also manifest their intrinsic epistemic value, that is, they serve as evidence for their content. So, if the norms of testimony are followed, then it is epistemically rational to adopt also the norm of the acceptance of testimonies. When the hearer accepts a testimony, he simply—and usually blindly—complies with this norm. Yet, he is epistemically rational because the norm he follows is epistemically rational, as well. (shrink)

Kevin Elliott and others separate two common arguments for the legitimacy of societal values in scientific reasoning as the gap and the error arguments. This article poses two questions: How are these two arguments related, and what can we learn from their interrelation? I contend that we can better understand the error argument as nested within the gap because the error is a limited case of the gap with narrower features. Furthermore, this nestedness provides philosophers with conceptual tools for (...) analyzing more robustly how values pervade science. (shrink)

In this paper, we inquire how the eternal tension between science and values has been tackled in philosophy of science by analysing three different strategies that have been used: focussing on different kinds of values and allowing some of these kinds to be present in science ; stipulating the role values are allowed to play ; and, specifying a social procedure in order to deal with values in science. Recently, the distinction between (...) the direct and indirect role values could play in science and expertise was elaborated extensively by Heather Douglas, allowing values to play an indirect role. We scrutinize Douglas' account and claim that identifying the different roles of values in science faces similar problems as earlier philosophical accounts distinguishing kinds of values, cf. epistemic and non-epistemic values. The problems discussed concern interpreting, weighing, variety of, and distinguishing the kinds/roles of values in science. Furthermore, we investigate whether some of these problems, rather than by the kinds-of-values-approach or Douglas' roles-of-values-approach, could be addressed by stipulating a social procedure in order to deal with values in science and expertise, or, whether combining two or all three of the strategies would help us developing a satisfying account of values in science. (shrink)

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)

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)

Democracy has been a flawed hegemony since the fall of communism. Its flexibility, its commitment to equality of representation, and its recognition of the legitimacy of opposition politics are all positive features for political institutions. But democracy has many deficiencies: it is all too easily held hostage by powerful interests; it often fails to advance social justice; and it does not cope well with a number of features of the political landscape, such as political identities, boundary disputes, and environmental crises. (...) Although democracy is valuable it fits uneasily with other political values and is in many respects less than equal to the demands it confronts. In this volume prominent political theorists and social scientists present original discussions of such central issues. Democracy's Values deals with the nature and value of democracy, particularly the tensions between it and such goods as justice, equality, efficiency, and freedom. (shrink)

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

Those who wish to defend the role of aesthetic values in science face a dilemma: Either aesthetic language is used metaphorically for what are ultimately epistemic features, or aesthetic language is used literally but it is difficult to see the importance of such values in science. I introduce a new account that gets around this problem by looking to an overlooked source of aesthetic value in science: the relation between form and content. I argue that (...) a fit between the content of a thought experiment, and the way in which that content is formulated, can have important epistemic pay offs through contributing to scientific understanding. (shrink)

In pure science, the standard approach to non-epistemic values is to exclude them as far as possible from scientific deliberations. When science is applied to practical decisions, non-epistemic values cannot be excluded. Instead, they have to be combined with scientific information in a way that leads to practically optimal decisions. A normative model is proposed for the processing of information in both pure and applied science. A general-purpose corpus of scientific knowledge, with high entry requirements, (...) has a central role in this model. Due to its high entry requirements, the information that it contains is sufficiently reliable for the vast majority of practical purposes. However, for some purposes, the corpus needs to be supplemented with additional information, such as scientific indications of danger that do not satisfy the entry requirements for the corpus. The role of non-epistemic values in the evaluation of scientific information should, as far as possible, be limited to determining the level of evidence required for various types of practical decisions. (shrink)

This paper examines the state of the field of “science and values”—particularly regarding the implications of the thesis of transient underdetermination for the ideal of value-free science, or what I call the “ideal of epistemic purity.” I do this by discussing some of the main arguments in the literature, both for and against the ideal. I examine a preliminary argument from transient underdetermination against the ideal of epistemic purity, and I discuss two different formulations of an objection (...) to this argument—an objection that requires the strict separation of the epistemic from the practical. A secondary aim of the paper is to suggest some future directions for the field, one of which is to replace the vocabulary of values that is often employed in the literature with a more precise one. (shrink)