Although the philosophical literature on science and values has flourished in recent years, the central concept of “values” has remained ambiguous. This paper endeavors to clarify the nature of values as they are discussed in this literature and then highlights some of the major implications of this clarification. First, it elucidates four major concepts of values and discusses some of their strengths and weaknesses. Second, it clarifies the relationships between these concepts of values and (...) a wide variety of related concepts that are sometimes used interchangeably in the philosophical literature. Third, it argues that this conceptual clarification reveals that much of the literature on science and values has discussed different concepts of values without making these differences clear. The paper illustrates this point by analyzing the different concepts of values at play in different arguments against the value-free ideal and in proposals for managing values. Understanding the literature on values in science as a patchwork of related discourses rather than a single discourse can help researchers more thoughtfully choose a concept of values that best fits their philosophical targets and goals, rather than conflating different discourses because of the common terminology of “values.”. (shrink)

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

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)

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)

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)

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)

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

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)

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)

There is a near consensus among philosophers of science whose research focuses on science and values that the ideal of value-free science is untenable, and that science not only is, but normatively must be, value-laden in some respect. The consensus is far from complete; with some regularity, defenses of the value-free ideal (VFI) as well as critiques of major arguments against the VFI surface in the literature. I review and respond to many of the recent (...) defenses of the VFI and show that they generally fail to meet the mark. In the process, I articulate what the current burden of argument for a defense of the VFI ought to be, given the state of the literature. (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)

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)

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

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)

Scientists often refer to their experiments, theories, images and instruments as beautiful and report that their scientific work is a source of aesthetic experiences. How do such aesthetic values affect scientific activities, and can aesthetic values play a cognitive role in science? In this chapter, I identify the different levels at which aesthetic values shape scientific products and processes, reflect on how philosophers have justified the cognitive role of such aesthetic values, and draw insights from (...) recent discussions on the aesthetics of scientific practice for the values in science debate. (shrink)

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

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

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)

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)

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

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

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)

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)

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

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)

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)

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

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)

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)

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

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)

The recent drastic development of agriculture, together with the growing societal interest in agricultural practices and their consequences, pose a challenge to agricultural science. There is a need for rethinking the general methodology of agricultural research. This paper takes some steps towards developing a systemic research methodology that can meet this challenge – a general self-reflexive methodology that forms a basis for doing holistic or (with a better term) wholeness-oriented research and provides appropriate criteria of scientific quality.From a philosophy (...) of research perspective,science is seen as an interactive learning process with both a cognitive and a social communicative aspect. This means, first of all,that science plays a role in the world that it studies. A science that influences its own subject area, such as agricultural science, is named a systemic science. From this perspective, there is a need to reconsider the role of values in science. Science is not objective in the sense of being value-free.Values play, and ought to play, an important role in science – not only in form of constitutive values such as the norms of good science, but also in the form of contextual values that enter into the very process of science. This goes against the traditional criterion of objectivity. Therefore, reflexive objectivity is suggested as a new criterion for doing good science, along with the criterion of relevance. Reflexive objectivity implies that the communication of science must include the cognitive context, which comprises the societal,intentional, and observational context. Ina ccordance with this, the learning process of systemic research is shown as a self-reflexive cycle that incorporates both an involved actor stance and a detached observer stance. The observer stance forms the basis for scientific communication.To this point, a unitary view of science as a learning process is employed. A second important perspective for a systemic research methodology is the relation between the actual,different, and often quite separate kinds of science. Cross-disciplinary research is hampered by the idea that reductive science is more objective, and hence more scientific, than the less reductive sciences of complex subject areas – and by the opposite idea that reductive science is necessarily reductionistic. Taking reflexive objectivity as a demarcator of good science, an inclusive framework of science can be established. The framework does not take the established division between natural, social, and human science as a primary distinction of science.The major distinction is made between the empirical and normative aspects of science,corresponding to two key cognitive interests.Two general methodological dimensions, the degree of reduction of the research world and the degree of involvement in the research world, are shown to span this framework. The framework can form a basis for transdisciplinary work by way of showing the relation between more and less reductive kinds of science and between more detached and more involved kinds of science and exposing the abilities and limitations attendant on these methodological differences. (shrink)

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

The axiological question of the role of economic values in the configuration of science is analyzed here following several steps: 1) the acceptance of the presence of values in science (among them, economic values in connection with scientific progress); 2) the clarification of the realms of values in science, which gives room for an "economics of science"; 3) the analysis of economic values in the internal perspective (cognitive and methodological), which is (...) called "economy of research"; 4) the examination of external economic values of science as social activity and in the uses and applications of science; and 5) the assessment of the possibility of an "economic axiology of science" (i.e., the articulation of economic values as a system where economic dimension of rationality should have an important task). The paper seeks an alternative vision to those already available, insofar as it is looking for new aspects of economic values, such as those involved in scientific results or outcomes, in addition to those considered in scientific aims and processes. (shrink)

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

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

Climate science has been deeply affected by social and political values in the last fifty years [1]. If we focus on climate denial and obfuscation, we might see the influence of values as wholly negative and aim instead for objective, value-free climate science. But, perhaps surprisingly, this is at odds with the view of many philosophers who study the influence of values on science. Science cannot and should not be free from values, (...) they argue. Rather, we should be transparent about our values, study their influence, and ensure that the right values play the right roles. But philosophers alone cannot determine what the right values are or what their appropriate use is. Close collaboration between climate scientists and philosophers is required for values in climate science to be accurately studied and appropriately managed. (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)

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