The role of values in the scientific process is widely debated. But evidence and values cannot be neatly separated. Instead, values infuse the entire scientific process, starting with the choice of research questions. Research avenues are selected based on prior beliefs about the workings of the world. In fact, informally assigned prior probabilities and normalizing constants play an essential role in distinguishing causes from correlations and ignoring irrelevant associations that would otherwise be suggested by raw data. But since these initial (...) probabilities often have a heterogeneous pedigree – often not all that went into their formation is known or knowable – it becomes difficult to cleanly separate evidence from values. At the same time, this reality does not undermine science’s unique status in generating knowledge. This is because it is not the evidence per se generated by science, but rather the method by which science generates it, that justifies science’s privileged role. (shrink)

Richard Rudner famously argues that the communication of scientific advice to policy makers involves ethical value judgments. His argument has, however, been rightly criticized. This article revives Rudner’s conclusion, by strengthening both his lines of argument: we generalize his initial assumption regarding the form in which scientists must communicate their results and complete his ‘backup’ argument by appealing to the difference between private and public decisions. Our conclusion that science advisors must, for deep-seated pragmatic reasons, make value judgments is further (...) bolstered by reflections on how the scientific contribution to policy is far less straightforward than the Rudner-style model suggests. (shrink)

Among the methodological rules of the social sciences we find the principles of value-neutrality and the principle of criticism. Both principles are of vital importance in the social sciences, but both seem to conflict with one another. The principle of criticism excludes value-judgments from the social sciences, because they cannot be empirically tested. Hence, criticism methodologically implies value-neutrality. Yet there is the opposing view that it is precisely the critical social researcher who looks beyond mere 'social facts' taking into account (...) the value framework of the society. Thus, criticism does not lead to value-freedom, but points to the value impact of the so-called social facts. In this paper, the two principles are stated. Then it is shown how and why they are incompatible. Finally, several suggestions are discussed to resolve this methodological conflict. (shrink)

Philosophy & Social Criticism, Ahead of Print. Foucault and Sellars are representatives of conflicting philosophical traditions: whereas Foucault famously insisted that “power is everywhere,” Sellars proposed the well-known scientia mensura dictum. The tension between the two perspectives seems to be so strong that each of them ends up reducing the other to an epiphenomenal illusion. In this article, I shall attempt to show that the works of Sellars and Foucault are not necessarily irreconcilable. The common ground for this dialogue is (...) what I shall define as a historico-practical conception of science. I will build this concept by tracing a connection between the Foucauldian notion of “conditions of possibility” of science and Sellars’s thesis about the “indispensability” of the manifest image. Finally, I will argue that this conception of science problematizes the clash between the scientific and manifest images of the world, paving the way for a different relationship between naturalism and critical theory. (shrink)

Computer models are frequently used tools in hydrological research. Many decisions related to the model set-up and configuration have to be made before a model can be run, influencing the model results. This study is an empirical investigation of the motivations for certain modeling decisions. Fourteen modelers from three different institutes were interviewed about their modeling decisions. In total, 83 different motivations were identified. Most motivations were related to the team of the modeler and the modelers themselves, “Experience from colleagues” (...) was the most frequently mentioned motivation. Both institutionalization and internalization were observed: a modeler can introduce a concept that subsequently becomes the teams' standard, or a modeler can internalize the default team approach. These processes depend on the experience of the modeler. For model selection, two types of motivations were identified: experience (from colleagues or the modelers themselves), and model vision (the model has assets that align with the modeling vision). Model studies are mainly driven by context, such as time constraints, colleagues, and facilities at the institute, rather than epistemic (such as aligning with the modeling vision). The role of local context in the construction of and the value assigned to models shows that models are social constructs, making model results time, and place dependent. To account for this context in the estimation of the robustness of model results, we need a diversity of opinions, perspectives, and approaches. This requires transparent modeling procedures and an explicit modeling vision for each model study. (shrink)

La erosión de la confianza en las capacidades epistémicas de la ciudadanía tiene en su raíz la radical separación entre hechos y valores que el pragmatismo ha considerado como clave de nuestra cultura. Hoy es posible superar el dualismo sobre la base de un conjunto de virtudes y disposiciones individuales que son tanto éticas como epistémicas. Este entrelazamiento entre lo ético y lo epistémico pone de manifiesto la imbricación entre una concepción deliberativa de la democracia con su exigencia de una (...) ética cívica y los requerimientos de una ética de la investigación científica en el marco de una sociedad democrática. (shrink)

We introduce a mathematical framework for quantifying fine-tuning in general physical settings. In particular, we identify two distinct perspectives on fine-tuning, namely, a local and a global perspective --- and develop corresponding measures. These measures apply broadly to settings characterized by an arbitrary number of observables whose values are dependent on an arbitrary number of parameters. We illustrate our formalism by quantifying fine-tuning as it arises in two pertinent astrophysical settings: in models where a significant fraction of the dark matter (...) in the universe is in the form of primordial black holes, and in scenarios that derive the fraction of protons in habitable dark-matter halos from underlying models of cosmic inflation. (shrink)

The NANOCAN project aims to enhance our understanding of the behavior of nanomaterials in the body, focusing on biodegradable nanoparticles for cancer diagnostics, and targeted cancer drug delivery. There is a range of available and potentially useful nanoparticles and drugs that might be of interest to such a project. In this paper, we make values implied in—and relevant to—choices between these alternatives explicit, thereby offering a case study of how values enter research processes in this area. From a project centered (...) perspective, we observe that values often play their role implicitly, as a result of funding incentives, regulations, and structural and organizational features of the research process. Based on our observations and categorization of relevant values, we turn to a broader discussion of how responsible research and innovation can be facilitated by making value priorities, value conflicts, and biases explicit targets of normative assessment. (shrink)

What makes teaching philosophy of science to non-philosophy students different from teaching it to philosophy students, and how should lecturers in philosophy adapt to an audience of practitioners of a field of study that they are reflecting on? In this paper we address this question by analyzing the differences between these student groups, and based on this analysis we make suggestions as to how philosophy of science can be taught to non-philosophy students in an effective and attractive way. Starting-point is (...) the observation that not only the background knowledge and interests of these students but also the aims of the respective courses will differ. We present a comparative analysis of the demands and conditions for teaching philosophy of science to the different types of students, focusing on learning objectives and didactic approaches. Next, we apply our analysis to a concrete example, the role of values in science, and discuss how this may be taught to either philosophy students or non-philosophy students. Finally, we discuss an alternative format for teaching philosophy to non-philosophy students. (shrink)

Qualitative researchers sometimes talk about objectivity in relation to qualitative data sets. In this paper, I defend a reconstructed notion of objective qualitative data sets that may serve as a useful and reachable guiding ideal in qualitative data generation. In the first part of the paper, I develop the ideal. According to it, a qualitative data set is objective to the extent that it, in conjunction with true assumptions, possesses a combination of good-making features in virtue of which the data (...) set is suited to serve as evidence base for a satisfying answer to the research question under study. In the second part of the paper, I examine and reject two possible lines of objection to this ideal: One is that it picks out the wrong good-making features. The other is that the very focus on good-making features is misguided: the objectivity of a qualitative data set should instead be seen as a matter of how it was generated or evaluated. (shrink)

There has been much debate about whether the concept of disease articulated in Boorse’s biostatistical theory is value-neutral or value-laden. Here, I want to examine whether this debate matters. I suggest that there are two basic respects in which value-ladenness might be important: it could threaten either scientific legitimacy or moral permissibility. I argue that value-ladenness does not threaten the scientific legitimacy of our disease-concept because the concept makes little difference to the formulation and testing of scientific hypotheses. Likewise, even (...) if our disease-concept is value-laden, this does not show it is morally impermissible. To determine its permissibility, we must regard it as a tool to structure social institutions. Seen in that way, whether our disease-concept is morally permissible is a consequentialist matter and depends exquisitely on unanswered empirical questions. (shrink)

Ethical questions have traditionally been approached through conceptual analysis. Inspired by the rapid advance of modern brain imaging techniques, however, some ethical questions appear in a new light. For example, hotly debated trolley dilemmas have recently been studied by psychologists and neuroscientists alike, arguing that their findings can support or debunk moral intuitions that underlie those dilemmas. Resulting from the wedding of philosophy and neuroscience, neuroethics has emerged as a novel interdisciplinary field that aims at drawing conclusive relationships between neuroscientific (...) observations and normative ethics. A major goal of neuroethics is to derive normative ethical conclusions from the investigation of neural and psychological mechanisms underlying ethical theories, as well as moral judgments and intuitions. The focus of this article is to shed light on the structure and functioning of neuroethical arguments of this sort, and to reveal particular methodological challenges that lie concealed therein. We discuss the methodological problem of how one can—or, as the case may be, cannot—validly infer normative conclusions from neuroscientific observations. Moreover, we raise the issue of how preexisting normative ethical convictions threaten to invalidate the interpretation of neuroscientific data, and thus arrive at question-begging conclusions. Nonetheless, this is not to deny that current neuroethics rightly presumes that moral considerations about actual human lives demand empirically substantiated answers. Therefore, in conclusion, we offer some preliminary reflections on how the discussed methodological challenges can be met. (shrink)

An autobiographical account is offered of how the medical study of self (immunology) became a chapter in the philosophical study of human agency (from Nietzsche and Thoreau to Freud by way of Wittgenstein). Whether viewed scientifically or philosophically, several themes converge on the intractable instability of any notion of selfhood—epistemological or moral. How this problematic motivated an extended analysis of selfhood refracts the psychology of the author and his pursuit of philosophy as self‐knowledge.

This undergraduate textbook introduces some fundamental issues in philosophy of science for students of philosophy and science students. The book is divided into two parts. Part 1 deals with knowledge and values. Chap. 1 presents the classical conception of knowledge as initiated by the ancient Greeks and elaborated during the development of science, introducing the central concepts of truth, belief and justification. Aspects of the quest for objectivity are taken up in the following two chapters. Moral issues are broached in (...) Chap. 4, which discusses some aspects of the use and abuse of science, taking up the responsibilities of scientists in properly conducting their business and decision-makers in their concerns with the import of science for society. Part 2 contrasts the view of scientific progress as the rejecting of old hypotheses and theories and replacing them with new ones, represented by Karl Popper, with the conception of progress as accumulating knowledge, saving as much as possible from older theories, represented by Pierre Duhem. A concluding chapter defends the natural attitude of taking the theories of modern science to be literally true, i.e. realism, in the face of arguments drawn partly from the history of scientific progress in criticism of this stance. (shrink)

In recent years, scientific understanding has become a focus of attention in philosophy of science. Since understanding is typically associated with the pragmatic and psychological dimensions of explanation, shifting the focus from explanation to understanding may induce a shift from accounts that embody normative ideals to accounts that provide accurate descriptions of scientific practice. Not surprisingly, many ‘friends of understanding’ sympathize with a naturalistic approach to the philosophy of science. However, this raises the question of whether the proposed theories of (...) understanding can still have normative power. In this paper I address this question by examining two theories of scientific understanding: Jan Faye’s pragmatic-rhetorical theory and my own contextual theory of scientific understanding. I argue that both theories leave room for normativity, despite their naturalistic tendencies. The normative power of my contextual theory is illustrated with a case study of the chemical revolution. (shrink)

Ascriptions of objectivity carry significant weight. But they can also cause confusion because wildly different ideas of what it means to be objective are common. Faced with this, some philosophers have argued that objectivity should be eliminated. I will argue, against one such position, that objectivity can be useful even though it is plural. I will then propose a contextualist approach for dealing with objectivity as a way of rescuing what is useful about objectivity while acknowledging its plurality.

A general criterion for distinguishing between epistemic and non-epistemic values is that the former promotes the attainment of truth whereas the latter does not. Daniel Steel is a proponent of this criterion, although it was initially proposed by McMullin. There are at least two consequences of this criterion; it always prioritizes epistemic values over non-epistemic values in scientific research, and it overlooks the diverse aims of science, especially the aims of regulatory or policy-oriented science. This criterion assumes the lexical priority (...) of truth or lexical priority of evidence. This paper attempts to show a few inadequacies of this assumption. The paper also demonstrates why epistemic priority over non-epistemic values is a problematic stance and how constraining the role of non-epistemic values as ‘tiebreakers’ may undermine the diverse aims of science. (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 recent years, philosophers have come to realize that the relationship between science and values raises questions which are both important and not readily answered. It is true that the major figures in that tradition known as ‘logical empiricism’ appreciated that science always exceeds its empirical grasp and that it is necessary for scientists to be guided and constrained by so-called ‘epistemic values,’ these being values (in the words of one supporter) ‘presumed to promote the truth-like character of science, its (...) character as the most secure knowledge available to us of the world we seek to understand.’ However, these values — such things as internal and external consistency, simplicity, predictive accuracy and fertility, unificatory power (consilience) — were considered special. Inasmuch as they could not be reduced to basic principles of logic — and there were attempts to do this — they were still thought of, in some sense, as beyond the vagaries of human emotion. Their importance was not a function of the individual’s personal inclinations, nor of those of the group, whether this group be understood as a closely knit band of researchers or even up to a complete society. (shrink)

Le débat sur le rôle des valeurs en science survient également dans les sciences appliquées, en particulier dans les sciences régulatives. Nous proposons une analyse, sous l’angle des valeurs, des controverses récentes sur le rôle de la connaissance scientifique dans la régulation des risques technologiques. Nous distinguons trois perspectives sur les valeurs cognitives et non-cognitives, dans le contexte de l’évaluation et de la gestion du risque. Notre analyse montre que les deux types de valeurs interagissent au sein du processus de (...) génération de connaissances dans les sciences régulatives, et que des propositions de changements méthodologiques dépendent de la reconnaissance explicite du rôle opérant des valeurs. Notre contribution indique que l’analyse philosophique des valeurs peut aider à clarifier les controverses actuelles sur les risques technologiques. (shrink)

O debate epistemológico ocorrido recentemente sobre o que veio a ser chamado de "o problema do desacordo racional" retomou a discussão, presente no ceticismo antigo, relativa ao significado epistêmico do desacordo. Similar ao cético pirrônico, alguns autores envolvidos no debate contemporâneo argumentaram que em contextos controversos, onde há desacordo sobre alguma questão específica, a atitude racional de ambos os lados do debate é a suspensão do juízo. Para esses autores, tal veredito deve ser estendido a diversas áreas do conhecimento humano, (...) resultando num ceticismo local relativo a tópicos controversos. Este artigo trata dessa problemática no campo científico. Em diversos episódios de controvérsia científica, cientistas exibem desacordos persistentes em que cada lado do debate mantém sua posição em face do desacordo. Nesse contexto, coloca-se a pergunta pela possibilidade do desacordo racional entre cientistas considerados pares epistêmicos. A partir da característica estrutural e dinâmica da ciência, argumenta-se que o desacordo racional entre cientistas é possível. Ou seja, diferente do que sustentam autores contemporâneos, no contexto científico o significado epistêmico do desacordo não é, necessariamente, o agnosticismo. Recent epistemological debate about what came to be called "the problem of rational disagreement" resumed the discussion, present among the ancient skeptics, on the epistemic significance of disagreement. Similar to the Pyrrhonian skeptic, some authors involved in the contemporary debate argued that in controversial contexts, where there is disagreement on some specific matter, the rational attitude of both sides of the debate is the suspension of judgment. For these authors, such a verdict should be extended to several fields of human knowledge, resulting in local skepticism regarding controversial topics. This article addresses this problematic in the scientific field. In several episodes of scientific controversy, scientists exhibit persistent disagreements where each side of the debate maintains his position in the face of disagreement. In this context, the question of the possibility of rational disagreement among scientists considered epistemic peers arises. From the structural and dynamic characteristics of science, it is argued that rational disagreement between scientists is possible. In other words, unlike the claims of contemporary authors, in the scientific context the epistemic significance of disagreement is not, necessarily, agnosticism. (shrink)

A problem for natural scientific accounts, psychology in particular, is the existence of value. An ecological account of values is reviewed and illustrated in three domains of research: carrying differing loads; negotiating social dilemmas involving agreement and disagreement; and timing the exposure of various visual presentations. Then it is applied in greater depth to the nature of language. As described and illustrated, values are ontological relationships that are neither subjective nor objective, but which constrain and obligate all significant animate activity (...) physically, socially, and morally. As an embodied social activity, conversational dialogue is characterized in terms of values, pragmatics, and presence rather than in terms of syntactic and semantic rules. In particular the nature of dialogical arrays is explored, and the hypothesis that language is an action system, a perceptual system, and a caring system is explored. Language expands horizons and makes it possible for humans to realize their calling as culture makers and caretakers. (shrink)

Cognitive values like simplicity, broad scope, and easy handling are properties of a scientific representation that result from the idealization which is involved in the construction of a representation. These properties may facilitate the application of epistemic values to credibility assessments, which provides a rationale for assigning an auxiliary function to cognitive values. In this paper, I defend a further rationale for cognitive values which consists in the assessment of the usefulness of a representation. Usefulness includes the relevance of a (...) representation regarding the investigation of a given problem and its practicability for the users. This rationale builds on the claim that any evaluation of scientific representations should pursue two aims: providing information about their credibility and providing information about their usefulness. Cognitive values relating to the usefulness of a representation and epistemic values relating to its credibility both perform a first-order function. Cognitive values are abstract, and several values with first-order functions may conflict in their application. Thus, in order for cognitive values to account for the sort of problem that is to be investigated by means of a representation, they need to be appropriately specified and weighed. Comprehensiveness, complexity, high resolution, and easy handling, for instance, may be required in a first-order function for model-based prediction of regional climate impacts but not for explaining how the global climate system works. Specifying and weighing cognitive and epistemic values relative to a given problem is a legitimate second-order function of social values. (shrink)

This article motivates a shift in certain strands of the debate over legitimate roles for nonepistemic values in scientific practice from investigating what is involved in taking cognitive attitudes like acceptance toward an empirical hypothesis to looking at a social understanding of assertion, the act of communicating that hypothesis. I argue that speech act theory’s account of assertion as a type of doing makes salient legitimate roles nonepistemic values can play in scientific practice. The article also shows how speech act (...) theory might provide a framework for fruitfully extending aspects of the social and pragmatic turns in the philosophy of science. (shrink)

In recent papers and a book, Heather Douglas has expanded on the well-known argument from inductive risk, thereby launching an influential contemporary critique of the value-free ideal for science. This paper distills Douglas’s critique into four major claims. The first three claims provide a significant challenge to the value-free ideal for science. However, the fourth claim, which delineates her positive proposal to regulate values in science by distinguishing direct and indirect roles for values, is ambiguous between two interpretations, and both (...) have weaknesses. Fortunately, two elements of Douglas’s work that have previously received much less emphasis provide resources for developing a more promising approach for regulating values in science. (shrink)

In this essay, I take the role as friendly commentator and call attention to three potential worries for John D. Norton’s material theory of induction. I attempt to show that his “principle argument” is based on a false dichotomy, that the idea that facts ultimately derive their license from matters of fact is debatable, and that one of the core implications of his theory is untenable for historical and fundamental reasons.

Grünbaum's three chief fields of research were space-time philosophy, the methodological credentials of psychoanalysis, and reasons given in favor of the existence of God. Grünbaum defended the so-called conventionality thesis of physical geometry. He partially followed Hans Reichenbach in this respect but developed a new ontological argument for the conventionality claim in addition. In addressing the physical basis of the direction of time, Grünbaum advocated that there is a physical basis for the distinction between the past and the future, but (...) no such basis for the idea of a ‘present’ moving through time. His main claim in scrutinizing Freud’s theory methodologically was that supporting the causal claims Freud made would have required data that go beyond the clinical setting. Finally, Grünbaum worked on the philosophy of religion and set out to undermine arguments for the existence of God. (shrink)

In his introductory textbook, Philosophy of natural science, Hempel presents, as an illustration and a starting point for an analysis of the processes of inventing and testing scientific theories, an account of the researches of Semmelweis the Hungarian physician who, in the middle of the xixth century, discovered the cause of puerperal fever and an effective method of prevention. The account does not involve anything that is factually untrue, but it is quite succinct, leaving out many important aspects of the (...) case. Our thesis is that, although those omissions are justified in view of the aims of the account, they are also convenient to Hempel, because they help to propagate an image of science which goes much beyond the processes of invention and test. It is an image which reflects the positivist conception of science, and thus, whatever the intentions of the author, contributes to the dissemination and strengthening of that conception, but which, at least in this case, does not correspond to reality. To demonstrate the thesis, we give an account of the parts of Semmelweis's story omitted by Hempel, and we show how they do not fit in with the positivist image of science. Along the way, we distinguish three types of critique of positivist historiography: the Kuhnian, the post-modern, and the engagé. In the conclusion, we present some considerations concerning the medical research of today. -/- . (shrink)