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)

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)

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)

Since at least the mid-2000s, political commentators, environmental advocates, and scientists have raised concerns about an “anti-science” approach to environmental policymaking in conservative governments in the US and Canada. This paper explores and resolves a paradox surrounding at least some uses of the “anti-science” epithet. I examine two cases of such “anti-science” environmental policy, both of which involve appeals to epistemic values that are widely endorsed by both scientists and philosophers of science. It seems (...) paradoxical to call an appeal to epistemic values “anti-science.” I develop an analysis that, I argue, can resolve this paradox. This analysis is a version of the “aims approach” to science and values, drawing on ideas from axiology and virtue ethics. I characterize the paradox in terms of conflicts or tensions between epistemic and pragmatic aims, and argue that there is a key asymmetry between them: epistemic aims are valuable, in part, because they are useful for pursuing pragmatic aims. Thus, when epistemic and pragmatic aims conflict, epistemic aims need to be reconceptualized in order to reconcile them to pragmatic aims. When this is done, in the “anti-science” cases, the epistemic values are scientific vices rather than virtues. Thus the “anti-science” epithet is apt. (shrink)

El presente trabajo aborda el ideal de la ciencia libre de valores extra epistémicos. Al respecto, se sitúa la discusión en el marco de autores que adscriben al denominado pluralismo científico, quienes, por lo general, tienen una postura más proclive a aceptar la influencia de valores extra epistémicos en las ciencias, tales como valores morales, políticos y sociales. En particular, se somete a revisión la postura de Helen Lóngino, Heather Douglas y John Dupré, analizando si le son o no aplicables (...) las críticas desarrolladas fundamentalmente por Hugh Lacey, quien, siendo pluralista, sigue sosteniendo el ideal de la ciencia libre de valores. Se concluye que existen buenos argumentos que apoyan la influencia de valores extra epistémicos en las ciencias; sin embargo, su extensión puede ser objeto de debate o bien matizada. Al respecto, se toma posición por la postura de John Dupré, la cual reconoce que en ciertos ámbitos de las ciencias–como la física de partículas- no existe una carga extra epistémica. Asimismo, se concluye que, aunque el ideal de una ciencia completamente libre de valores debe ser rechazado, puede tener alguna relevancia en tanto ideal regulativo, imponiendo esta versión un mayor desafío para las posturas que procuran refutar el ideal en cuestión. (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)

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)

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)

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)

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)

Should scientists value simple theories? Is fruitfulness an important criterion to assess scientific theories? What role moral, social, and political values should have in the assessment of scientific theories? In recent years, there has been an increasing interest among philosophers of science in studying how cognitive and non-cognitive values influence and should influence the assessment and comparison of scientific theories. While cognitive values (such as simplicity and fruitfulness) are features of scientific theories that are indicative of (...) the truth or empirical adequacy of theories, non-cognitive values are moral, political, social, and economic values. Understanding the roles of values in science is a particularly urgent issue. Clarifying the importance of cognitive values is important in order to be able to make accurate comparisons of scientific theories. Understanding the influence of non-cognitive values on science is crucial because moral, social, and political values are involved in many stages of research, such as decisions on methodologies and allocation of funds. Since these decisions affect all the members of the society (scientists, non-experts, and political institutions), understanding the impact of non-cognitive values on these choices is of primary importance. Although a large body of literature has investigated the roles of cognitive and non-cognitive values in theory appraisal, several questions remain to be analysed. In this dissertation, I address four questions by using two main methods, namely the analysis of case studies from evolutionary psychology and the experimental method. First, while philosophers have clarified the importance and roles in theory appraisal of some cognitive values, little or no attention has been paid to other values. In this dissertation, I have started filling this gap by formulating a clear explication and a simple strategy to be employed in theory appraisal for one of the values that have attracted little attention, namely fruitfulness. I have explicated fruitfulness as the ability of programs to extend their content and suggested considering research questions and discovery heuristics to assess this ability. Moreover, I have used my account to assess the fruitfulness of evolutionary psychology. Second, some philosophers of science argue that cognitive values are desirable and relevant to the assessment of theories because they are indicative of the truth or empirical adequacy of theories. However, why is it so? In my dissertation, I develop a context-sensitive approach to values and I argue that in order to understand the ground for the desirability of cognitive values and make an accurate appraisal of theories, we have to consider specific factors of the context in which theories are assessed, such as the availability of methodologies and the way cognitive values are interrelated to each other in that context. Third, philosophers have traditionally argued that the influence of non-cognitive values on scientific reasoning threatens the epistemic authority of science. I have challenged this view and argued that some non-cognitive values can play a cognitive role in science, i.e., they can be epistemically beneficial to the assessment of scientific theories. On the basis of a case study (the account of human mating in evolutionary psychology), I have argued that feminist values have positively contributed to theory appraisal in various ways, such as by raising sensitivity to evidence that was neglected because of gender bias. Fourth, some philosophers have argued that non-cognitive values play a legitimate role in cases of inductive risk, namely cases in which scientists may wrongly assess scientific hypotheses (e.g. accepting a hypothesis that should be rejected) because of some uncertainty due to mixed results or disagreement on the reliability of methodologies. Mistakes can have consequences that can be morally or economically undesirable and non-cognitive values, some philosophers argue, provide the standards to evaluate and compare these possible consequences. However, little is known on how - specifically - non-cognitive values influence this evaluation. To address this issue, I have conducted an experimental study clarifying how personal features, political values, and specific aspects of a risk (e.g. the chance of incurring Type I vs. Type II errors) determine people’s reasoning about cases of inductive risk. On the basis of these results, I have discussed recent institutional calls for the need to align research agendas and technological development to citizens’ values, needs, and expectations. (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)

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)

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)

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)

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)

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)

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)

Roughly, empirical AI alignment research (AIA) is an area of AI research which investigates empirically how to design AI systems in line with human goals. This paper examines the role of non-epistemic values in AIA. It argues that: (1) Sciences differ in the degree to which values influence them. (2) AIA is strongly value-laden. (3) This influence of values is managed inappropriately and thus threatens AIA’s epistemic integrity and ethical beneficence. (4) AIA should strive to (...) achieve value transparency, critical scrutiny from inside and outside the discipline – involving the public –, and to empower actors without strong commercial interests. (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)

Focusing primarily on papers and books discussing the evolutionary and systematic interpretation of the Cambrian animal fossils from the Burgess Shale fauna, this paper explores the role of epistemic values in the context of a discipline striving to establish scientific authority within a larger domain of epistemic problems and issues . The focal point of this analysis is the repeated claims by paleontologists that the study of fossils gives their discipline a unique ‘historical dimension’ that makes it (...) possible for them to unravel important aspects of evolution invisible to scientists who study the extant biosphere. The first part of the paper explores the shifting of emphasis in the writings of paleontologists between two strategies that employ opposing views on the classical positivist and physicalist ideal of science. The second part analyzes paleontologists’ claims of privileged access to life’s historical dimension in a situation where a theoretical upheaval occurring independent of the epistemical problem at hand completely shifts the standards for evaluating the legitimacy of various knowledge claims. Though the various strategies employed in defending the privileged historical perspective of paleontology have been disparate and, to an extent contradictory, each impinges on the acceptance of a specific epistemic ideal or set of values and success or failure of each depends on the compatibility of this ideal with the surrounding community of scientists. (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 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)

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)

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)

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)

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)

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 this paper we chart epistemological similarities between shared function talk in biology and the engineering sciences, focusing on the notions of biological advantage function and technical advantage function. We start by showing that biological advantage function ascriptions are common in biology and that technical advantage function ascriptions are common in engineering science. We then proceed to show that these ascriptions have a very similar structure and that their epistemic value also is similar: both biological advantage function and (...) technical advantage function ascriptions provide the means to answer what-would-happen-if questions. We develop and illustrate our claims with four case studies: two from biology, and two from engineering design research. Our results offer new insights into a relatively neglected issue in both philosophy of biology and technology, viz. assessing the explanatory and predictive utility of function ascriptions. (shrink)

Philosophers of science have come to accept that contextual values can play unavoidable and desirable roles in science. This has raised concerns about the need to distinguish legitimate and illegitimate value influences in scientific inquiry. I discuss here four such concerns: epistemic distortion, value imposition, undermining of public trust in science, and the use of objectionable values. I contend that preserving epistemic integrity and avoiding value imposition provide good reasons to attempt to distinguish (...) between legitimate and illegitimate influences of values in science. However, the trust and the objectionable values concerns constitute no good reason for demarcation criteria. (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)

Husserl holds that the theoretical sciences should be value-free, i.e., free from the values of extra-scientific practices and guided only by epistemic values such as coherence and truth. This view does not imply that to Husserl the sciences would be immune to all criticism of interests, goals, and values. On the contrary, the paper argues that Husserlian phenomenology necessarily embodies reflection on the epistemic values guiding the sciences. The argument clarifies Husserl’s position by comparing (...) it with the pluralistic position developed in feminist epistemology, according to which sciences may be guided by several competing sets of epistemic values. Further, the existence of alternative epistemic values suggests that choices among such values are social and historically conditioned. Indeed, this is how Husserl’s mature discussion in The Crisis can be understood: his examination of Galileo’s contribution in physics operates as a criticism of the unquestioned dominance of certain set of inherited epistemic values, including the values of accuracy and universal applicability. Indeed, his The Origin of Geometry endorses another set of epistemic values, most importantly that of ontological heterogeneity. Husserl’s analysis demonstrates that the choice of any set of epistemic values is influenced by historical and social factors. Moreover, Husserl argues that we can only avoid biases due to “spells of the time” by continued reflection – Besinnung, in his terms – on the role of values in science. (shrink)

Case Study research is characterized by the employment of multiple data gathering methods. In this paper, I examine the concurrent use of participant observation and qualitative interviews. The question I examine is: what is the rationale behind their combination in case study research? In the literature on case study research, the two most common reasons for using multiple methods appeal to comprehensiveness and convergent confirmation respectively. I argue that there is a third significant, yet overlooked, way to motivate the joint (...) use of participant observation and qualitative interviews: the methods may generate complementary evidence and this puts the researcher in a better position to confirm that her data manifest central epistemic values and so are suitable as basis for providing an adequate answer to her research question. I refer to this as the rationale of blended epistemic value validation. (shrink)

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

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 epistemic value of a political procedure—such as democracy or a civil trial system—depends on how well it performs in arriving at decisions that are correct by some independent standard. A core assumption in the literature on epistemic democracy is that boosting the epistemic value of such a procedure makes it better overall. Even though this assumption seems innocuous (and hence has not been discussed in much detail), we will argue that it is not beyond the pale (...) of reasonable disagreement. For it is possible to increase the epistemic value of a political procedure in ways that give rise to egalitarian objections. (shrink)

Contemporary philosophy of science tells us that scientific theories are “underdetermined” by their accompanying data in a variety of ways. Briefly put, theories are not constructed on data alone. Psychiatric classification is subject to this same kind of underdetermination. Theories may be determined by a combination of data, historical factors, practical constraints, value commitments, and other factors. While practical constraints (like user-friendliness or compatibility across diagnostic systems) are commonly admitted to be influential in shaping psychiatric classification, the idea that (...) values shape psychiatric classification is still a controversial one. This article addresses this controversy by (1) defining a particular domain or type of value commitment (epistemic values), (2) showing how they might be assumed in psychiatric classification, (3) developing a set of conceptual tools to analyze epistemic value content, and (4) applying this set of tools to concretely illustrate how this type of value is “at work” in shaping classification. A classic paper on the dispute between categorical and dimensional models for personality disorders is systematically examined to illustrate this “epistemic value” rubric. (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)

This paper proposes an extended version of the interventionist account for causal inference in the practical context of biological mechanism research. This paper studies the details of biological mechanism researchers’ practices of assessing the evidential legitimacy of experimental data, arguing why quantity and variety are two important criteria for this assessment. Because of the nature of biological mechanism research, the epistemic values of these two criteria result from the independence both between the causation of data generation and the (...) causation in question and between different interventions, not techniques. The former independence ensures that the interventions in the causation in question are not affected by the causation that is responsible for data generation. The latter independence ensures the reliability of the final mechanisms not only in the empirical but also the formal aspects. This paper first explores how the researchers use quantity to check the effectiveness of interventions, where they at the same time determine the validity of the difference-making revealed by the results of interventions. Then, this paper draws a distinction between experimental interventions and experimental techniques, so that the reliability of mechanisms, as supported by the variety of evidence, can be safely ensured in the probabilistic sense. The latter process is where the researchers establish evidence of the mechanisms connecting the events of interest. By using case studies, this paper proposes to use ‘intervention’ as the fruitful connecting point of literature between evidence and mechanisms. (shrink)

This book explores how physicists, astronomers, chemists, and historians in the late nineteenth and early twentieth centuries employed ‘epistemic virtues’ such as accuracy, objectivity, and intellectual courage. In doing so, it takes the first step in providing an integrated history of the sciences and humanities. It assists in addressing such questions as: What kind of perspective would enable us to compare organic chemists in their labs with paleographers in the Vatican Archives, or anthropologists on a field trip with mathematicians (...) poring over their formulas? While the concept of epistemic virtues has previously been discussed, primarily in the contexts of the history and philosophy of science, this volume is the first to enlist the concept in bridging the gap between the histories of the sciences and the humanities. Chapters research whether epistemic virtues can serve as a tool to transcend the institutional disciplinary boundaries and thus help to attain a ‘post-disciplinary’ historiography of modern knowledge. Readers will gain a contextualization of epistemic virtues in time and space as the book shows that scholars themselves often spoke in terms of virtue and vice about their tasks and accomplishments. This collection of essays opens up new perspectives on questions, discourses, and practices shared across the disciplines, even at a time when the neo-Kantian distinction between sciences and humanities enjoyed its greatest authority. Scholars including historians of science and of the humanities, intellectual historians, virtue epistemologists, and philosophers of science will all find this book of particular interest and value. (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)

Recent scholarship in philosophy of science and technology has shown that scientific and technological decision making are laden with values, including values of a social, political, and/or ethical character. This paper examines the role of value judgments in the design of machine-learning systems generally and in recidivism-prediction algorithms specifically. Drawing on work on inductive and epistemic risk, the paper argues that ML systems are value laden in ways similar to human decision making, because the development and (...) design of ML systems requires human decisions that involve tradeoffs that reflect values. In many cases, these decisions have significant—and, in some cases, disparate—downstream impacts on human lives. After examining an influential court decision regarding the use of proprietary recidivism-prediction algorithms in criminal sentencing, Wisconsin v. Loomis, the paper provides three recommendations for the use of ML in penal systems. (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)

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)

“God created, Linnaeus organized.” This remark Linnaeus liked to say captures the common idea that the proper task of scientists in classification is to discover and systematize features of the world without being committed to individual perspectives, values, and interests. However, it is rarely the case that scientists passively read nature or carve nature at its joints. My thesis investigates how scientific classification is laden with values and explores its implication. I hope to temper the influence of the (...) ideal of value-free science on the discussion of natural kinds. Contrary to the blossoming scholarship in the values and science literature, there has been little discussion about the role of values in scientific classification. Defined as groupings that correspond to real divisions in nature, natural kinds are considered to exist independently from human values and interests. I demonstrate how the assumptions behind scientific classification endorse the idea of value-free science. Using case studies, I argue that incorporating social, moral, and political values can lead to the epistemic improvement of the category. If values are ineliminable from science, then the question arises, what or whose values, in what ways, can legitimately influence science? I critically examine recently developed criteria for proper uses of values in science. I advocate evaluating values in terms of epistemic benefits. The task of assessing epistemic benefits requires scrutinizing a research program’s social and historical context. Finally, the last part of this dissertation explores how values uniquely influence natural kind terms via social entrenchment. Many philosophers identify projectibility as a defining feature of natural kinds. I look at whether social and cultural practices influence projectibility. I investigate whether these practices affect which kind terms get socially entrenched. I argue that the projectibility of natural kind terms substantially depends on our norms and values. (shrink)