Courts have determined that adaptive management does not satisfy the Endangered Species Act's requirement to use the 'best available science'. This is due, in part, to the failure to recognise the role of non-epistemic values in science. We examine the role of values in the legal controversy over the scientific reports and adaptive management plans for endangered salmon in the Columbia River Basin. To do this, we employ philosophical concepts related to risk and uncertainty that (...) demonstrate how non-epistemic values are internal to science. We describe how, because adaptive management is a method for dealing with inductive risk, by remaining flexible, responsive and adaptive in those circumstances where the costs of making a mistake are very high, it requires special attention to ensure that it remains useful. We conclude that, because non-epistemic values will inevitably influence the 'best available science', it is critical that they are clarified in any adaptive management planning so that we can ensure the salmon conservation that the ESA mandates. Fortunately, because adaptive management is iterative in nature and includes opportunities for engagement between policymakers and scientists, it enables clarification of non-epistemic values through making standards of evidence transparent, acknowledging aims and goals and dealing with uncertainty at the institutional level. (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)

This paper examines the case of Ebola, ça Suffit trial which was conducted in Guinea during Ebola Virus Disease (EVD) outbreak in 2015. I demonstrate that various non-epistemic considerations may legitimately influence the criteria for evaluating the efficacy and effectiveness of a candidate vaccine. Such non-epistemic considerations, which are social, ethical, and pragmatic, can be better placed and addressed in scientific research by appealing to non-epistemic values. I consider two significant features any newly developed vaccine should (...) possess; (1) the duration of immunity the vaccine provides; and (2) safety with respect to the side effects of the vaccine. Then, I argue that social and ethical values are relevant and desirable in setting the parameters for evaluating these two features of vaccines. The parameters that are employed for setting up the criteria for assessing the features might have far-reaching implications on the well-being of society in general, and the health conditions of several thousand people in particular. The reason is that these features can play a decisive role during the evaluation of the efficacy and effectiveness of the vaccine. I conclude by showing why it is necessary to reject the concept of epistemic priority, at least when scientists engage in policy-oriented research. (shrink)

We argue that non-epistemic values, including moral ones, play an important role in the construction and choice of models in science and engineering. Our main claim is that non-epistemic values are not only “secondary values” that become important just in case epistemic values leave some issues open. Our point is, on the contrary, that non-epistemic values are as important as epistemic ones when engineers seek to develop the best model (...) of a process or problem. The upshot is that models are neither value-free, nor depend exclusively on epistemic values or use non-epistemic values as tie-breakers. (shrink)

Solving the “new demarcation problem” requires a distinction between epistemically legitimate and illegitimate roles for non-epistemic values in science. This paper addresses one ‘half’ (i.e. a sub-problem) of the new demarcation problem articulated by the Gretchenfrage: What makes the role of a non-epistemic value in science epistemically illegitimate? I will argue for the Explaining Epistemic Errors (EEE) account, according to which the epistemically illegitimate role of a non-epistemic value is defined via an explanatory (...) claim: the fact that an epistemic agent is motivated by a non-epistemic value explains why the epistemic agent commits a particular epistemic error. The EEE account is inspired by Douglas’ and Steel’s “functionalist” or “epistemic constraint” accounts of epistemic illegitimacy. I will suggest that the EEE account is able to meet two challenges that these two accounts face, while preserving the key intuition underlying both accounts. If my arguments succeed, then the EEE account provides a solution to one half of the new demarcation problem (by providing a definition of what makes the role of a non-epistemic value epistemically illegitimate) and it opens up new ways for addressing the other half (i.e. characterizing an epistemically legitimate role of non-epistemic values). (shrink)

The recent Ebola virus disease outbreak in Western African countries has raised questions regarding the feasibility of adopting conventional trial designs such as randomized controlled trials for conducting experimental trials in the midst of a fatal epidemic. In the context of Ebola ça Suffit trial conducted in Guinea for testing the efficacy and effectiveness of rVSV–ZEBOV, a candidate vaccine, I argue that the trial design and the methodologies adopted for the trial have been rightly chosen for their ethical appropriateness and (...) social utilities rather than only epistemic advantages. In this paper, I propose and defend the view that in varying scientific research contexts, it is entirely legitimate that non-epistemic values may be prioritized over epistemic considerations. Two vital methodological choices scientists should make while designing a clinical trial are: the choice of appropriate control group and the choice of appropriate randomization. Given this background, I show that the choice of delayed vaccination arm as the control group over placebo control group and the choice of cluster randomization over individually controlled randomization for conducting Ebola ça Suffit trial are perfect instances of such a scenario where addressing social and ethical issues have been justifiably prioritized over epistemic values so that the research in a specific scientific context could be conducted in a socially relevant manner. (shrink)

The importance of epistemic values in science is universally recognized, whereas the role of non-epistemic values is sometimes considered disputable. It has often been argued that non-epistemic values are more relevant in applied sciences, where the goals are often practical and not merely scientific. In this paper, we present a case study concerning earthquake engineering. So far, the philosophical literature has considered various branches of engineering, but very rarely earthquake engineering. We claim that (...) the assessment of seismic hazard models is sensitive to both epistemic and non-epistemic values. In particular, we argue that the selection and evaluation of these models are justified by epistemic values, even if they may be contingently influenced by non-epistemic values. By contrast, the aggregation of different models into an ensemble is justified by non-epistemic values, even if epistemic values may play an instrumental role in the attainment of these non-epistemic values. A careful consideration of the different epistemic and non-epistemic values at play in the choice of seismic hazard models is thus practically important when alternative models are available and there is uncertainty in the scientific community about which model should be used. (shrink)

Solving the “new demarcation problem” requires a distinction between epistemically legitimate and illegitimate roles for non-epistemic values in science. This paper addresses one ‘half’ (i.e. a sub-problem) of the new demarcation problem articulated by the Gretchenfrage: What makes the role of a non-epistemic value in science epistemically illegitimate? I will argue for the Explaining Epistemic Errors (EEE) account, according to which the epistemically illegitimate role of a non-epistemic value is defined via an explanatory (...) claim: the fact that an epistemic agent is motivated by a non-epistemic value explains why the epistemic agent commits a particular epistemic error. The EEE account is inspired by Douglas’ and Steel’s “functionalist” or “epistemic constraint” accounts of epistemic illegitimacy. I will suggest that the EEE account is able to meet two challenges that these two accounts face, while preserving the key intuition underlying both accounts. If my arguments succeed, then the EEE account provides a solution to one half of the new demarcation problem (by providing a definition of what makes the role of a non-epistemic value epistemically illegitimate) and it opens up new ways for addressing the other half (i.e. characterizing an epistemically legitimate role for non-epistemic values). (shrink)

In this essay, I argue that at least in two phases of pharmaceutical research, especially while assessing the adequacy of the accumulated data and its interpretation, the influence of non-epistemic values is necessary. I examine a specific case from the domain of pharmaceutical research and demonstrate that there are multiple competing sets of values which may legitimately or illegitimately influence different phases of the inquiry. In such cases, the choice of the appropriate set of values—epistemic (...) as well as non-epistemic—should be made on the basis of the set’s viability to promote specific epistemic and social aims of the research, in the case at hand, rather than other competing aims. I put forth an account which addresses two philosophically significant and interrelated questions in the context of values in science debates: which aim should be prioritized when there are different stakeholders who try to achieve competing but, sometimes, conflicting goals; and what should be the criteria according to which the prioritization of a particular goal over other competing goals can be determined? I argue that both these questions can be addressed by invoking the principle of non-arbitrariness and the mere means principle and self-determination right. The philosophical import of raising and addressing these questions from an ethical perspective is that this approach leads to a better understanding of problems in today’s pharmaceutical research and guides us in efforts to alleviate these problems. (shrink)

In recent years, philosophers of science have begun to realize that the clear separation of the creation of models in academia and the application of models outside science is not possible. When these philosophers address hybrid contexts in which science is entwined with policy, business, and other realms of society, these often practically oriented realms no longer represent ‘the surroundings’ of science but rather are considered an essential part of it. I argue—and demonstrate empirically—that the judgement (...) of a theory or model conducted by scientists in such hybrid contexts may contain two parts: one is truth supportive and the other is utility oriented. In relation to the debate on science and values, the article seeks to reinforce the argument in modern philosophy of science that the boundaries between epistemic and non-epistemic values are blurred. The article stresses that non-epistemic values may be also understood as values that contribute to the instrumental success of a theory or model and—in this way—influence scientific practice in the hybrid contexts. (shrink)

The literature on values in science struggles with questions about how to describe and manage the role of values in scientific research. We argue that progress can be made by shifting this literature’s current emphasis. Rather than arguing about how non-epistemic values can or should figure into scientific assessment, we suggest analyzing how scientific assessment can accommodate non-epistemic values. For scientific assessment to do so, it arguably needs to incorporate goals that have been (...) traditionally characterized as non-epistemic. Building on this insight, we show how the adequacy-for-purpose framework recently developed for assessing scientific models can provide a general framework for describing scientific assessment so that it goes beyond purely epistemic considerations. Adopting this framework has significant advantages and opens the possibility of effecting a partial rapprochement between critics and proponents of the value-free ideal. (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)

Non-epistemic values play important roles in classificatory practice, such that philosophical accounts of kinds and classification should be able to accommodate them. Available accounts fail to do so, however. Our aim is to fill this lacuna by showing how non-epistemic values feature in scientific classification, and how they can be incorporated into a philosophical theory of classification and kinds. To achieve this, we present a novel account of kinds and classification, discuss examples from biological classification where (...) non-epistemic values play decisive roles, and show how this account accommodates the role of non-epistemic 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)

The ‘value-free ideal’ has been called into question for several reasons. It does not include “epistemic values”—viewed as characteristic of ‘good science’—and rejects the so-called ‘contextual’, ‘non-cognitive’ or ‘non-epistemic’ values—all of them personal, moral, or political values. This paper analyzes a possible complementary argument about the dubitable validity of the value-free ideal, specifically focusing on social sciences, with a two-fold strategy. First, it will consider that values are natural facts in a broad or (...) ‘liberal naturalist’ sense and, thus, a legitimate part of those sciences. Second, the paper will not reject the value-free ideal; rather, it will construe this ideal in a special way, not casting values aside in sciences, but bringing them to the table and rationally discussing them. Today’s predominant naturalistic view has tended to ‘naturalize’ values by looking for physicalist explanations for them—a move resisted by defenders of normativism in social sciences. At the same time, a contending ‘liberal naturalist’ stream has emerged, claiming that not all natural entities can be explained by the methods and concepts of physical sciences, and favors a non-materialist naturalism which includes mind, consciousness, meaning and value as fundamental parts of nature that cannot be reduced to matter. Hence, it may be posited that non-epistemic values could be ‘naturally’ included in the field of human sciences. (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)

Philosophers of neuroscience have been employing scientific explanation as an epistemic value to evaluate neuroscientific models for the past twenty years. Consequently, they have developed mechanistic and non-mechanistic accounts of neuroscientific explanation. These two types of accounts explicate how to use a specific kind of explanatory value to evaluate the epistemic value of neuroscientific models. This paper presents a case study involving the canonical models from mathematical and computational neuroscience. This case study will show that the above mechanistic (...) and non-mechanistic framework overly focuses on analyzing neuroscientific models as objects with representational contents. As a consequence, it pays less attention to the process of modeling and the epistemic attitudes of modelers; moreover, it can miss some important epistemic values used by modelers. By reconstructing their modeling process, I will identify the relevant modelers' epistemic attitudes and argue that these modelers use different kinds of epistemic values to evaluate the same type of canonical models. Furthermore, among them, one epistemic value is not captured by the relevant mechanistic and non-mechanistic accounts. I develop a processual framework that centers on the modeling process and modelers' epistemic attitudes. This process framework is better because it it accommodates both the mechanistic and non-mechanistic accounts of neuroscientific explanation regarding the canonical model in addition to capturing what both accounts leave out. (shrink)

Explanations in the natural historical sciences often take the form of stories. This paper examines two accounts of the sources of narrative’s explanatory power: Beatty’s suggestion that narrative explanation is closely connected to historical contingency, and that narratives explain by contrasting what happened with what might have happened; and Ereshefsky and Turner’s view that narratives explain by organizing events around a central subject with a distinctive direction of historical development. In both accounts, it turns out that non-epistemic values (...) typically play a role in the construction of narrative, and hence contribute to narrative’s explanatory force. Two case studies from historical science – the plate tectonic story of the Avalonian terrane, and the story of the evolution of trichromatic vision in (some) mammals – help to motivate and illustrate this argument. (shrink)

Within the context of the discussion about value-free science ideal, Heather Douglas claims that in several cases non-epistemic values are needed for good reasoning in science. In this article I aim at recovering her viewpoint in order to examine the research driving to the Genetic Grandparent Inclusion-Probability Index, a crucial element to restitute the identity of children who were abducted during Argentinean dictatorship. Thus, my purposes are to reconstruct Douglas´ main theoretical contributions, specifically her reasons to (...) reject the ideal as well as the distinction between direct and indirect roles for values in science; and to analyze the scientific paper resulting from the “Grandparent-Inclusion Index” research. The main hypothesis is that several decisions of this research, particularly the establishment of what is to be considered sufficient evidence, should be explained by reference to social, ethical and political values. Both because of the non-epistemic consequences of the inquiry related to its inductive risk and because such inquiry is a case in which there is legitimate and necessary integration between epistemic and non-epistemic values and that it is also a case in which Douglas’ criteria of objectivity is reached. By virtue of these reasons, the significance of Douglas’ contribution to the analysis of the relationship between science and politics is emphasized. (shrink)

Within the context of the discussion about value-free science ideal, Heather Douglas claims that in several cases non-epistemic values are needed for good reasoning in science. In this article I aim at recovering her viewpoint in order to examine the research driving to the Genetic Grandparent Inclusion-Probability Index, a crucial element to restitute the identity of children who were abducted during Argentinean dictatorship. Thus, my purposes are to reconstruct Douglas´ main theoretical contributions, specifically her reasons to (...) reject the ideal as well as the distinction between direct and indirect roles for values in science; and to analyze the scientific paper resulting from the “Grandparent-Inclusion Index” research. The main hypothesis is that several decisions of this research, particularly the establishment of what is to be considered sufficient evidence, should be explained by reference to social, ethical and political values. Both because of the non-epistemic consequences of the inquiry related to its inductive risk and because such inquiry is a case in which there is legitimate and necessary integration between epistemic and non-epistemic values and that it is also a case in which Douglas’ criteria of objectivity is reached. By virtue of these reasons, the significance of Douglas’ contribution to the analysis of the relationship between science and politics is emphasized. (shrink)

After a brief review of the relationship between science and value, this paper introduces the value of ‘traditionality’ as a value in the pure and applied sciences. Along with other recognized values, this value can also contribute to formulating hypotheses and determining theories. There are three reasons for legitimizing the internal role of this value in science: first, this value can contribute to scientific progress by presenting more diverse hypotheses; second, the value of external consistency in (...) class='Hi'>science entails this value; and third, this value helps to eliminate some of the adverse social and cultural effects of Western science in non-Western societies. ‘Traditionality’ is an extrinsic epistemic value, according to the first two reasons, and at the same time, is an ethical value, according to the last reason. Also, the ethics of belief is adopted to further confirm the ethical role of this value. Finally, this paper discusses three potential criticisms that can be levelled against this idea and responds to each of them. (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)

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)

My intention is to cast light on the characteristics of epistemic or fundamental research (in contrast to application-oriented research). I contrast a Baconian notion of objectivity, expressing a correspondence of the views of scientists to the facts, with a pluralist notion, involving a critical debate between conflicting approaches. These conflicts include substantive hypotheses or theories but extend to values as well. I claim that a plurality of epistemic values serves to accomplish a non-Baconian form of objectivity (...) that is apt to preserve most of the intuitions tied to the objectivity of science. For instance, pluralism is the only way to cope with the challenge of preference bias. Furthermore, the plurality of epistemic values cannot be substantially reduced by exploring the empirical success of scientific theories distinguished in light of particular such values. However, in addition to pluralism at the level of theories and value-commitments alike, scientific research is also characterized by a joint striving for consensus which I trace back to a shared epistemic attitude. This attitude manifests itself, e.g., in the willingness of scientists to subject their claims to empirical scrutiny and to respect rational argument. This shared epistemic attitude is embodied in rules adopted by the scientific community concerning general principles of dealing with knowledge claims. My contention is that pluralism and consensus formation can be brought into harmony by placing them at different levels of consideration: at the level of scientific reasoning and at the level of social conventions regarding how to deal with claims put forward within the scientific community. (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)

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)

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)

Even if the “value-free ideal of science” (VFI) were an unattainable goal, one could ask: can it be a useful fiction, one that is beneficial for the research community and society? This question is particularly crucial for scholars and institutions concerned with research integrity (RI), as one cannot offer normative guidance to researchers without making some assumptions about what ideal scientific research looks like. Despite the insofar little interaction between scholars studying RI and those working on values in (...) science, the overlap of topics and interests make collaboration between the two fields promising for understanding research and its ethics. Here, we identify—for the use of RI scholars—the non-epistemic reasons (societal, political, professional) for and against the VFI considered in the literature. All of these are concerned with the beneficial or detrimental consequences that endorsing the VFI would have on society, policy-making, or the scientific community, with some authors appealing to the same principles to argue for opposite positions. Though most of the reviewed articles do not endorse the VFI, it is generally agreed that some constraints have to be put on the use of non-epistemic values. Disagreement on the utility of the VFI lies both on the different epistemic-descriptive positions taken by different authors, and on the scarcity of relevant empirical studies. Engaging critically with the reasons here identified and more in general with the values in science debate will help the RI community decide whether the VFI should be included in future codes of conduct. (shrink)

Philosophical work on values in science is held back by widespread ambiguity about how values bear on sci entific choices. Here, I disambiguate several ways in which a choice can be value-laden and show that this disambiguation has the potential to solve and dissolve philosophical problems about values in science. First, I characterize four ways in which values relate to choices: values can motivate, justify, cause, or be impacted by the choices we make. (...) Next, I put my proposed taxonomy to work, using it to clarify one version of the argument from inductive risk. The claim that non-epistemic values must play a role in scientific choices that run inductive risk makes most sense as a claim about values being needed to justify such choices. The argument from inductive risk is not unique: many philosophical arguments about values in science can be more clearly understood and assessed by paying close attention to how values and choices are related. (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 review methods for economic evaluation recently developed in health economics by focusing on the epistemic and non-epistemic values they embody. The emphasis is on insights into valuing health,...

There is a growing consensus among philosophers of science that core parts of the scientific process involve non-epistemic values. This undermines the traditional foundation for public trust in science. In this article I consider two proposals for justifying public trust in value-laden science. According to the first, scientists can promote trust by being transparent about their value choices. On the second, trust requires that the values of a scientist align with the values of (...) an individual member of the public. I argue that neither of these proposals work and suggest an alternative that does better. When scientists must appeal to values in the course of their research, they should appeal to democratic values: the values of the public or its representatives. (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)

This paper proposes a functional approach to characterize epistemic and nonepistemic values. The paper argues that epistemic values are functionally homogeneous since they act as criteria to evaluate the epistemic virtues a hypothesis ought to possess, and they validate scientific knowledge claims objectively. Conversely, non-epistemic values are functionally heterogeneous since they may promote multiple and sometimes conflicting aims in different research contexts. An incentive of espousing the functional approach is that it helps us (...) understand how values can operate in appropriate and inappropriate ways in scientific research and inappropriate influences can eventually be prevented. The idea is to argue that since non-epistemic values are functionally heterogeneous, they cannot provide objective reasons for the acceptance of a hypothesis. However, their involvement is necessary in certain research contexts and the problem is the involvement of these need not be always legitimate. By analyzing a case from chemical research, I demonstrate that how non-epistemic values might influence scientific research and, then, I go on to demonstrate that how a proper understanding of the functions of different kinds of values might promote the attainment of multiple goals of a particular research in a legitimate and socially relevant way. (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 (i.e., government funding, private funding, or a combination of the two). 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)

In this paper, I develop and defend a moralized conception of epistemic trust in science against a particular kind of non-moral account defended by John (2015, 2018). I suggest that non-epistemic value considerations, non-epistemic norms of communication and affective trust properly characterize the relationship of epistemic trust between scientific experts and non-experts. I argue that it is through a moralized account of epistemic trust in science that we can make sense of the deep-seated (...) moral undertones that are often at play when non-experts (dis)trust science. (shrink)

Current debates over inductive risk and the role of values in science have largely revolved around the question of the moral responsibilities of scientists: Do scientists have the duty to consider the potential non-epistemic consequences of theories they advocate and, if yes, what values should be taken into account in decision-making? The paper discusses two different – though potentially complementary – responses to this question: a) H. Douglas’s view that scientists should avoid causing reckless or negligent (...) harm to others as a result of the decisions they make and b) K. Elliott’s Multiple Goals Criterion. Drawing from the case of potential coronavirus transmission by sharing the Holy Communion that recently divided Greek society and medical experts, it shows the tensions emerging between autonomy and the moral responsibilities of scientists, when the boundaries of science are blurred and the epistemic goal of truth is inconsistent with alternative goals. It argues that the balance attempted between scientific principles and religious beliefs was unattainable and concludes that the need to distinguish between epistemic and non-epistemic values, which is traditionally related to the ideal of value free science, should be reconsidered and even prioritized among the responsibilities of scientists. (shrink)

Technoscientific research, a kind of scientific research conducted within the decontextualized approach (DA), uses advanced technology to produce instruments, experimental objects, and new objects and structures, that enable us to gain knowledge of states of affairs of novel domains, especially knowledge about new possibilities of what we can do and make, with the horizons of practical, industrial, medical or military innovation, and economic growth and competition, never far removed from view. The legitimacy of technoscientific innovations can be appraised only in (...) the course of considering fully what sorts of objects technoscientific objects are: objects that embody scientific knowledge confirmed within DA; physical/chemical/biological objects, realizations of possibilities discovered in research conducted within DA, brought to realization by means of technical/experimental/instrumental interventions; and components of social/ecological systems, objects that embody the values of technological progress and (most of them) values of capital and the market. What technoscientific objects are - their powers, tendencies, sources of their being, effects on human beings and social/economic systems, how they differ from non technoscientific objects - cannot be grasped from technoscientific inquiry alone; scientific inquiry that is not reducible to that conducted within DA is also needed. The knowledge that underlies and explains the efficacy of technoscientific objects is never sufficient to grasp what sorts of object they are and could become. Science cannot be reduced to technoscience. (shrink)

While it is widely acknowledged that science is not “free” of non-epistemic values, there is disagreement about the roles that values can appropriately play. Several have argued that non-epistemic values can play important roles in modeling decisions, particularly in addressing uncertainties ; Risbey 2007; Biddle and Winsberg 2010; Winsberg : 111-137, 2012); van der Sluijs 359-389, 2012). On the other hand, such values can lead to bias ; Bray ; Oreskes and Conway 2010). (...) Thus, it is important to identify when it is legitimate to appeal to non-epistemic values in modeling decisions. An approach is defended here whereby such value judgments are legitimate when they promote democratically endorsed epistemological and social aims of research. This framework accounts for why it is legitimate to appeal to non-epistemic values in a range of modeling decisions, while addressing concerns that the presence of such values will lead to bias or give scientists disproportionate power in deciding what values ought to be endorsed. (shrink)

Historical Epistemology: On the Diversity and Change of Epistemic Values in Science. Historical epistemology involves the claim that the system of scientific knowledge is not determined by the observations but is also subject to epistemic requirements that may change in the historical process of doing research. As a result, the system of knowledge is path‐dependent in that its shape is contingent on epistemic choices made at certain historical points. I attempt to elaborate this approach by (...) drawing attention to the double role of epistemic values. First, such values create relations of significance and thereby contribute to directing research into certain avenues. Second, they are also important in the process of confirmation in that they entail that certain forms of agreement with the facts are superior and preferable to other such forms. Some epistemic orientations and reorientations can be reconstructed as arising from an interaction with nature, but others are based on commitments to the kind of knowledge we appreciate. The epistemic authority of science is created in large measure by rules of the scientific community that express how to deal with knowledge claims. (shrink)

I use a theorem from machine learning, called the “No Free Lunch” theorem to support the claim that non-epistemic values are essential to theory choice. I argue that NFL entails that predictive accuracy is insufficient to favor a given theory over others, and that NFL challenges our ability to give a purely epistemic justification for using other traditional epistemic virtues in theory choice. In addition, I argue that the natural way to overcome NFL’s challenge is to (...) use non-epistemic values. If my argument holds, non-epistemic values are entangled in theory choice regardless of human limitations and regardless of the subject matter. Thereby, my argument overcomes objections to the main lines of argument revealing the role of values in theory choice. At the end of the paper, I argue that, contrary to common conception, the epistemic challenge arising from NFL is distinct from Hume’s problem of induction and other forms of underdetermination. (shrink)

Epistemic trust is crucial for science. This article aims to identify the kinds of assumptions that are involved in epistemic trust as it is required for the successful operation of science as a collective epistemic enterprise. The relevant kind of reliance should involve working from the assumption that the epistemic endeavors of others are appropriately geared towards the truth, but the exact content of this assumption is more difficult to analyze than it might appear. (...) The root of the problem is that methodological decisions in science typically involve a complex trade-off between the reliability of positive results, the reliability of negative results, and the investigation's power. Which balance between these is the ‘correct’ one can only be determined in light of an evaluation of the consequences of all the different possible outcomes of the inquiry. What it means for the investigation to be ‘appropriately geared towards the truth’ thus depends on certain value judgments. I conclude that in the optimal case, trusting someone in her capacity as an information provider also involves a reliance on her having the right attitude towards the possible consequences of her epistemic work. 1 Introduction2 Epistemic Reliance within the Sciences3 Methodological Conventionalism4 Trust in Science5 Conclusions. (shrink)

Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed “epistemic inequality”: this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of overcoming epistemic inequality. We argue that (...) value management can be seriously considered as soon as the value-free ideal and inductive risk arguments commonly used to frame the discussions of value influence in climate science are replaced by alternative social accounts of objectivity. We consider objectivity in Longino's sense as well as strong objectivity in Harding's sense to be relevant options here, because they offer concrete proposals that can guide scientific practice in evaluating and designing so-called multi-model ensembles and, in fine, improve their capacity to quantify and express uncertainty in climate projections. (shrink)

This paper critically assesses the current debates in philosophy of science that focus on the concept of values. In these debates, it is often assumed that all relevant non-epistemic influences on scientific research can be described as values and, consequently, that science carries social legitimacy if the correct values play their proper role in research. I argue that values are _not_ the only relevant non-epistemic influences on research: not unless our definition of (...) values is so broad that it becomes unmanageable. Other factors also affect the authority and social legitimacy of science. I employ political theorist Iris Marion Young’s concepts of social perspectives, opinions and interests to attempt a differentiation of contextual influences relevant to scientific research. While problems arising from these influences may overlap, they often differ in important ways too. As a consequence, I argue that contextual influences cannot be managed jointly but require distinct and complementary strategies. (shrink)

In this paper, I assess Duncan Pritchard’s defense of the “orthodox” view on epistemic normativity. On this view, termed “epistemic value T-monism” (EVTM), only true belief has final value. Pritchard discusses three influential objections to EVTM: the swamping problem, the goal of inquiry problem, and the trivial truths problem. I primarily focus on Pritchard’s defense of the trivial truths problem: truth cannot be the only final epistemic value because we value “trivial” truths less than “significant” truths. In (...) response, Pritchard appeals to epistemic virtue: the virtuous agent desires “substantial” truths, where “substantiality” is a matter of the non-luckiness of the true belief. Thus, what has substantial value, for Pritchard, is well-grounded true belief. Yet, I argue, this moves away from “orthodox” EVTM: this view fails to attribute final epistemic value to non-grounded, accidentally true belief. Aside from giving up EVTM altogether, I suggest this leads to either a revision or revolution. On the revision interpretation, EVTM was always imprecise: what orthodoxy always really cared about was epistemically grounded truth rather than truth simpliciter. On the revolutionary reading, what we really care about, contra orthodoxy, formation of belief in line with virtues rather than truth simpliciter. (shrink)

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)