My doctoral project is a study of epistemological and ethical issues in Evidence-Based Medicine, a movement in medicine which emphasizes the use of randomized controlled trials. Much of the research on EBM suggests that, for a large part of the movement's history, EBM considered expertise, mechanisms, and values to be forces contrary to its goals and has sought to remove them, both from medical research and from the clinical encounter. I argue, however, that expertise, mechanisms and values have important epistemological (...) and ethical roles to play and can be incorporated into the current EBM movement. (shrink)

Un biologiste fait une découverte incompatible avec des conceptions religieuses de la vie bonne. En classe, un professeur d'université profite de son exposé magistral pour faire la promotion d'une idéologie politique. Un fonds de recherche des sciences sociales refuse de financer un projet visant à résoudre le problème de la sous-représentation des femmes en politique, affirmant qu'une telle recherche n'est pas scientifique. Tous ces exemples témoignent de l'interaction constante entre, d'une part, l'enseignement et la recherche scientifique, et d'autre part, les (...) enjeux normatifs au sein de sphères d'influence. Les sciences doivent-elles être neutres? La normativité des sciences est-elle inévitable? Et de quoi parle-t-on lorsque nous faisons référence à la neutralité scientifique? Cette entrée exposera les principales réponses à ces trois questions. Après avoir clarifié le cadre conceptuel et la problématique de cette entrée, nous explorerons les approches wébérienne et positiviste en faveur de la neutralité des sciences. Ces deux perspectives seront confrontées à divers objections, notamment celles du pragmatisme américain. En réponse à l’ethos mertonien des sciences, nous présenterons finalement la critique féministe selon laquelle les disciplines scientifiques ne peuvent pas faire l’économie d’objectifs éthiques, politiques ou sociaux. Pour des raisons de simplicité, cette entrée approfondira surtout des modèles et arguments issus de l’économie, de la biologie et des sciences de la santé, des disciplines ayant été au cœur des controverses entourant la neutralité des sciences. (shrink)

This article focuses on epistemic challenges related to the democratisation of scientific knowledge production, and to the limitations of current social accounts of objectivity. A process of ’democratisation’ can be observed in many scientific and academic fields today. Collaboration with extra-academic agents and the use of extra-academic expertise and knowledge has become common, and researchers are interested in promoting socially inclusive research practices. As this development is particularly prevalent in policy-relevant research, it is important that the new, more democratic forms (...) of research be objective. In social accounts of objectivity only epistemic communities are taken to be able to produce objective knowledge, or the entity whose objectivity is to be assessed is precisely such a community. As I argue, these accounts do not allow for situations where it is not easy to identify the relevant epistemic community. Democratisation of scientific knowledge production can lead to such situations. As an example, I discuss attempts to link indigenous oral traditions to floods and tsunamis that happened hundreds or even thousands of years ago. (shrink)

In robustness analysis, hypotheses are supported to the extent that a result proves robust, and a result is robust to the extent that we detect it in diverse ways. But what precise sense of diversity is at work here? In this paper, I show that the formal explications of evidential diversity most often appealed to in work on robustness – which all draw in one way or another on probabilistic independence – fail to shed light on the notion of diversity (...) relevant to robustness analysis. I close by briefly outlining a promising alternative approach inspired by Horwich’s (1982) eliminative account of evidential diversity. (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)

This inaugural handbook documents the distinctive research field that utilizes history and philosophy in investigation of theoretical, curricular and pedagogical issues in the teaching of science and mathematics. It is contributed to by 130 researchers from 30 countries; it provides a logically structured, fully referenced guide to the ways in which science and mathematics education is, informed by the history and philosophy of these disciplines, as well as by the philosophy of education more generally. The first handbook to cover the (...) field, it lays down a much-needed marker of progress to date and provides a platform for informed and coherent future analysis and research of the subject. -/- The publication comes at a time of heightened worldwide concern over the standard of science and mathematics education, attended by fierce debate over how best to reform curricula and enliven student engagement in the subjects There is a growing recognition among educators and policy makers that the learning of science must dovetail with learning about science; this handbook is uniquely positioned as a locus for the discussion. -/- The handbook features sections on pedagogical, theoretical, national, and biographical research, setting the literature of each tradition in its historical context. Each chapter engages in an assessment of the strengths and weakness of the research addressed, and suggests potentially fruitful avenues of future research. A key element of the handbook’s broader analytical framework is its identification and examination of unnoticed philosophical assumptions in science and mathematics research. It reminds readers at a crucial juncture that there has been a long and rich tradition of historical and philosophical engagements with science and mathematics teaching, and that lessons can be learnt from these engagements for the resolution of current theoretical, curricular and pedagogical questions that face teachers and administrators. (shrink)

The ideal of value free science states that the justification of scientific findings should not be based on non-epistemic (e.g. moral or political) values. It has been criticized on the grounds that scientists have to employ moral judgements in managing inductive risks. The paper seeks to defuse this methodological critique. Allegedly value-laden decisions can be systematically avoided, it argues, by making uncertainties explicit and articulating findings carefully. Such careful uncertainty articulation, understood as a methodological strategy, is exemplified by the current (...) practice of the Intergovernmental Panel on Climate Change (IPCC). (shrink)

The Oxford English Dictionary (OED) lists 1571 as the year of the first recorded use of the English word ‘masculinity’; the Ancient Greek ανδρεια (andreia), usually translated as ‘courage’, was also used to refer to manliness. The notion of manliness or masculinity is undoubtedly older still. Yet, despite this seeming familiarity, not only is the notion proving to be highly elusive, its understanding by the society being in a constant flux, but also one which is at the root of bitter (...) division and confrontation, and which has tangible and far-reaching real-world effects. At the same time, while masculinity has been attracting an increasing amount of attention in academia, the large body of published work seldom goes to the very foundations of the issue, failing to explicitly and with clarity reach a consensus as to how masculinity ought to be understood. Herein I critique the leading contemporary thought, showing it to be poorly conceived and confounded, and often lacking in substance which would raise it to the level of the actionable and constructive. Hence, I propose an alternative view which is void of the observed deficiencies, and discuss how its adoption would facilitate a conciliation between the currently warring factions, focusing everybody’s efforts on addressing the actual ethical, deconfounded of specious distractions. (shrink)

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

Although the impact of so-called “sponsorship bias” has been the subject of increased attention in the philosophy of science, what exactly constitutes its epistemic wrongness is still debated. In this paper, I will argue that neither evidential accounts nor social–epistemological accounts can fully account for the epistemic wrongness of sponsorship bias, but there are good reasons to prefer social–epistemological to evidential accounts. I will defend this claim by examining how both accounts deal with a paradigm case from medical epistemology, recently (...) discussed in a paper by Bennett Holman. I will argue that evidential accounts cannot adequately capture cases of sponsorship bias that involve the manufacturing of certainty because of their neutrality with respect to the role of non-epistemic values in scientific practice. If my argument holds, it further highlights the importance of integrating social and ethical concerns into epistemological analysis, especially in applied contexts. One can only properly grasp sponsorship bias as an epistemological problem if one resists the methodological tendency to analyze social, ethical, and epistemological issues in isolation from each other. (shrink)

What does Cyberpunk and AI Ethics have to do with each other? Cyberpunk is a sub-genre of science fiction that explores the post-human relationships between human experience and technology. One similarity between AI Ethics and Cyberpunk literature is that both seek a dialogue in which the reader may inquire about the future and the ethical and social problems that our technological advance may bring upon society. In recent years, an increasing number of ethical matters involving AI have been pointed and (...) debated, and several ethical principles and guides have been suggested as governance policies for the tech industry. However, would this be the role of AI Ethics? To serve as a soft and ambiguous version of the law? I would like to promote in this article a more Cyberpunk way of doing AI Ethics, whit a more anarchic way of governance. In this study, I will seek to expose some of the deficits of the underlying power structures of our society, and suggest that AI governance be subject to public opinion, so that ‘good AI’ can become ‘good AI for all’. (shrink)

In this paper, I argue for a new way to understand the integration of facts and values in the concept of mental disorder that has the potential to avoid the flaws of previous hybrid approaches. I import conceptual tools from the account of procedural objectivity defended by Helen Longino to resolve the controversy over the definition of mental disorder. My argument is threefold: I first sketch the history of the debate opposing objectivists and constructivists and focus on the criticisms that (...) led to the emergence of the debate. Second, I offer a reconstruction of the “Natural Function Approach” argument to make explicit an unsound assumption underlying this approach. The reconstruction will allow me to show that the NFO’s argument depends on the ideal of value-free science that I will criticize. Then I propose an alternative ideal for psychiatry: social objectivity. I argue that the concept of mental health should be seen as “socially objective” rather than value-free, moving the debate towards the social procedures by which the definition is produced rather than the normative and factual content of its definition. (shrink)

In this article we critically review the neural mechanisms of moral cognition that have recently been studied via electroencephalography (EEG). Such studies promise to shed new light on traditional moral questions by helping us to understand how effective moral cognition is embodied in the brain. It has been argued that conflicting normative ethical theories require different cognitive features and can, accordingly, in a broadly conceived naturalistic attempt, be associated with different brain processes that are rooted in different brain networks and (...) regions. This potentially morally relevant brain activity has been empirically investigated through EEG-based studies on moral cognition. From neuroscientific evidence gathered in these studies, a variety of normative conclusions have been drawn and bioethical applications have been suggested. We discuss methodological and theoretical merits and demerits of the attempt to use EEG techniques in a morally significant way, point to legal challenges and policy implications, indicate the potential to reveal biomarkers of psychopathological conditions, and consider issues that might inform future bioethical work. (shrink)

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

Pluralism is widely appealed to in many areas of philosophy of science, though what is meant by ‘pluralism’ may profoundly vary. Because explanations of behaviour have been a favoured target for pluralistic theses, the sciences of behaviour offer a rich context in which to further investigate pluralism. This is what the topical collection The Biology of Behaviour: Explanatory pluralism across the life sciences is about. In the present introduction, we briefly review major strands of pluralist theses and their motivations. We (...) highlight three distinct types of pluralisms—type pluralism, fragmentation pluralism and insular pluralism—and introduce the articles of the topical collection. (shrink)

The argument from inductive risk, as developed by Rudner and others, famously concludes that the scientist qua scientist makes value judgments. The paper aims to show that trust in the soundness of the argument is overrated – that philosophers who endorse its conclusion fail to refute two of the most important objections that have been raised to its soundness: Jeffrey’s objection that the genuine task of the scientist is to assign probabilities to hypotheses, and Levi’s objection that the argument is (...) ambiguous about decisions about how to act and decisions about what to believe, that only the former presuppose value judgments, and that qua scientist, the scientist only needs to decide what to believe. (shrink)

L’objectivité permettrait d’assurer la supériorité de la science par rapport à d’autres modes de connaissance. Elle doit donc être défendue, surtout en cette « ère de post-vérité » où les « faits alternatifs » remplacent les faits avérés, en politique comme ailleurs. Or les attaques proviennent autant de l’extérieur que de l’intérieur de la sphère philosophique. Il convient donc de tenter d’opérer la réconciliation la plus large possible avec deux représentants de clans (très) opposés, Mario Bunge et Bruno Latour. Réinvestissant (...) les grandes conceptions de la notion d’objectivité, je propose ici trois chantiers pour cette réconciliation : la mise au rancart des conceptions naïves et parfois insincères de la science, la réévaluation des contextes de découverte et de justification, et celle de la distinction faits-valeurs. (shrink)

This paper explores the important role of critical science, and in particular of post-colonial and decolonial theories, in understanding and shaping the ongoing advances in artificial intelligence. Artificial intelligence is viewed as amongst the technological advances that will reshape modern societies and their relations. While the design and deployment of systems that continually adapt holds the promise of far-reaching positive change, they simultaneously pose significant risks, especially to already vulnerable peoples. Values and power are central to this discussion. Decolonial theories (...) use historical hindsight to explain patterns of power that shape our intellectual, political, economic, and social world. By embedding a decolonial critical approach within its technical practice, AI communities can develop foresight and tactics that can better align research and technology development with established ethical principles, centring vulnerable peoples who continue to bear the brunt of negative impacts of innovation and scientific progress. We highlight problematic applications that are instances of coloniality, and using a decolonial lens, submit three tactics that can form a decolonial field of artificial intelligence: creating a critical technical practice of AI, seeking reverse tutelage and reverse pedagogies, and the renewal of affective and political communities. The years ahead will usher in a wave of new scientific breakthroughs and technologies driven by AI research, making it incumbent upon AI communities to strengthen the social contract through ethical foresight and the multiplicity of intellectual perspectives available to us, ultimately supporting future technologies that enable greater well-being, with the goal of beneficence and justice for all. (shrink)

This article critically examines a recent philosophical debate on the role of values in climate change forecasts, such as those found in assessment reports of the Intergovernmental Panel on Climate Change. On one side, several philosophers insist that the argument from inductive risk, as developed by Rudner and Douglas among others, applies to this case. AIR aims to show that ethical value judgments should influence decisions about what is sufficient evidence for accepting scientific hypotheses that have implications for policy issues. (...) Advocates of extending AIR to climate science claim that values are deeply... (shrink)

Discussions on the status of definitions of life have long been dominated by a position known as definitional pessimism. Per the definitional pessimist, there is no point in trying to define life. This claim is defended in different ways, but one of the shared assumptions of all definitional pessimists is that our attempts to define life are attempts to provide a list of all necessary and sufficient conditions for something to count as alive. In other words, a definition of life (...) is a strict, descriptive definition. Against this, several pragmatic alternatives have been put forward. On these pragmatic accounts, definitions of life are not strictly, but rather loosely descriptive. Their purpose is not to be true, but to be useful to scientists by guiding scientific practice. More recently, this position has come under attack for not being able to explain how our attempts to define life are connected to scientific progress within the biological sciences. Here, I argue to the contrary by showing how pragmatic definitions of life can be, and in fact are, conducive to scientific progress. Additionally, I show how the pragmatic account of definitions of life can be brought to bear upon our normative discussions involving definitions of life. (shrink)

Belief in climate change does not divide into a simple dichotomy of believers and nonbelievers. An unclear view of skepticism arises when the differences between empirical and normative claims are revealed. Developing responsible beliefs on matters of which we possess no expertise requires reliable expert testimony. However, trust and objectivity are integral factors for belief in expert consensus. A reduction in public opinion regarding the reliability of climate science, due to politicization, enables the dismissal anthropogenic climate change. Understanding politicization from (...) both Pielke and Douglas clarifies a negative role that politics can play in the doing of science. The risks that politicization pose, mistrust for one, do not undermine the necessary role of values in science. The role of values within scientific enquiry must be restricted and acknowledged for trustworthy science to be produced, and for scientific findings regarding climate change to be accepted by nonexperts, including policymakers. (shrink)

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

Climate change assessments rely upon scenarios of socioeconomic developments to conceptualize alternative outcomes for global greenhouse gas emissions. These are used in conjunction with climate models to make projections of future climate. Specifically, the estimations of greenhouse gas emissions based on socioeconomic scenarios constrain climate models in their outcomes of temperatures, precipitation, etc. Traditionally, the fundamental logic of the socioeconomic scenarios—that is, the logic that makes them plausible—is developed and prioritized using methods that are very subjective. This introduces a fundamental (...) challenge for climate change assessment: The veracity of projections of future climate currently rests on subjective ground. We elaborate on these subjective aspects of scenarios in climate change research. We then consider an alternative method for developing scenarios, a systems dynamics approach called ‘Cross-Impact Balance’ (CIB) analysis. We discuss notions of ‘objective’ and ‘objectivity’ as criteria for distinguishing appropriate scenario methods for climate change research. We distinguish seven distinct meanings of ‘objective,’ and demonstrate that CIB analysis is more objective than traditional subjective approaches. However, we also consider criticisms concerning which of the seven meanings of ‘objective’ are appropriate for scenario work. Finally, we arrive at conclusions regarding which meanings of ‘objective’ and ‘objectivity’ are relevant for climate change research. Because scientific assessments uncover knowledge relevant to the responses of a real, independently existing climate system, this requires scenario methodologies employed in such studies to also uphold the seven meanings of ‘objective’ and ‘objectivity.’. (shrink)

This paper presents a program of action for the philosophy of regulatory science, based on a general theory of social epistemology. Two candidates are considered. The first one, offered by Alvin Goldman, is not fit for our purposes because it is focused on a veritism incompatible with non‐epistemic aims of regulatory science. The second, championed by Steve Fuller, sociologically investigates the existing means of producing knowledge, to modify them with the goal of obtaining democratic aims through action on a legislative (...) meta‐level. The program has been built upon this procedure, instantiated by the identification, characterization, and modification of epistemic policies. (shrink)

Introduction to Synthese SI: Systematicity: The Nature of Science?

A number of areas of biology raise questions about what is of value in the natural environment and how we ought to behave towards it: conservation biology, environmental science, and ecology, to name a few. Based on my experience teaching students from these and similar majors, I argue that the field of environmental ethics has much to teach these students. They come to me with pent-up questions and a feeling that more is needed to fully engage in their subjects, and (...) I believe some exposure to environmental ethics can help focus their interests and goals. I identify three primary areas in which environmental ethics can con- tribute to their education. The first is an examination of who (or what) should be considered to be part of our moral community (i.e., the community to whom we owe direct duties). Is it humans only? Or does it include all sentient life? Or all life? Or ecosystems considered holistically? Often, readings implicitly assume one or more of these answers; the goal is to make the student more sensitive to these implicit claims and to get them to think about the different reasons that support them. The second area, related to the first, is the application of the different answers concerning the extent of the ethical community to real environmental issues and problems. Students need to be aware of how the different answers concerning the moral community can imply conflicting answers for how we should act in certain cases and to think about ways to move toward conflict resolution. The third area in which environmental ethics can contribute is a more conceptual one, focusing on central concepts such as biodiversity, sustainability, species, and ecosystems. Exploring and evaluating various meanings of these terms will make students more reflective and thoughtful citizens and biologists, sensitive to the implications that different conceptual choices make. (shrink)

Philosophy of science was once a much more socially engaged endeavor, and can be so again. After a look back at philosophy of science in the 1930s-1950s, I turn to discuss the current potential for returning to a more engaged philosophy of science. Although philosophers of science have much to offer scientists and the public, I am skeptical that much can be gained by philosophers importing off-the-shelf discussions from philosophy of science to science and society. Such efforts will likely look (...) like efforts to do applied ethics by merely applying ethical theories to particular contexts and problems. While some insight can be gained by these kinds of endeavors, the most interesting and pressing problems for the actual practitioners and users of science are rarely addressed. Instead, I recommend that philosophers of science engage seriously and regularly with scientists and/or the users of science in order to gain an understanding of the conceptual issues on the ground. From such engagement, flaws in the traditional philosophical frameworks, and how such flaws can be remedied, become apparent. Serious engagement with the contexts of science thus provides the most fruit for philosophy of science per se and for the practitioners whom the philosophers aim to assist. And if one focuses on contexts where science has its most social relevance, these efforts can help to provide the thing that philosophy of science now lacks: a full-bodied philosophy of science in society. (shrink)

Several have argued that the aims of scientific research are not always independent of social and ethical values. Yet this is often assumed only to have implications for decisions about what is studied, or which research projects are funded, and not for methodological decisions or standards of evidence. Using the case of the recently developed HPV vaccines, we argue that the social aims of research can also play important roles in justifying decisions about (1) how research problems are defined in (...) drug development, (2) evidentiary standards used in testing drug “success”, and (3) clinical trial methodology. As a result, attending to the social aims at stake in particular research contexts will produce more rational methodological decisions as well as more socially relevant science. (shrink)

in recent years, policy makers have shown increasing interest in implementing policies aimed at promoting individual well-being. But how should policy makers choose their well-being policies? a seemingly reasonable first step is to settle on an agreed-upon definition of well-being. yet there currently is significant disagreement on how well-being ought to be characterized, and agreement on the correct view of well-being does not appear to be forthcoming. Nevertheless, i argue in this paper that there are several reasons to think that (...) the domain of well-being in the public policy context is narrower than that of well-being in general, which makes agreement on how to understand well-being in the public policy context more likely. (shrink)

The paper looks at challenges related to the ideas of integration and knowledge systems in extra-academic transdisciplinarity. Philosophers of science are only starting to pay attention to the increasingly common practice of introducing extra-academic perspectives or engaging extra-academic parties in academic knowledge production. So far the rather scant philosophical discussion on the subject has mainly concentrated on the question whether such engagement is beneficial in science or not. Meanwhile, there is quite a large and growing literature on extra-academic TD, mostly (...) authored by non-philosophers, seeking to develop TD research practices. We examine this literature in the light of recent discussions in pluralist philosophies of science. Some philosophical pluralists see the increase of extra-academic collaboration and participation in science as a potentially positive development. However, certain views promoted in the non-philosophical literature on extra-academic TD appear problematic in the light of the pluralistic discussions. For instance, the literature on TD appears to be overly optimistic with regard to integration, and the notion of knowledge systems used in it is problematic. We believe it would be worthwhile for scientific pluralists sympathetic to the aims of TD to look more closely into the complex settings in which extra-academic collaboration and participation happens in actual TD projects, and to offer constructive criticisms, exploiting insights developed within pluralist philosophy of science. (shrink)

Many scientists have expressed concerns about potential catastrophic risks associated with new technologies. But expressing concern is one thing, identifying serious candidates another. Such risks are likely to be novel, rare, and difficult to study; data will be scarce, making speculation necessary. Scientists who raise such concerns may face disapproval not only as doomsayers, but also for their unconventional views. Yet the costs of false negatives in these cases -- of wrongly dismissing warnings about catastrophic risks -- are by definition (...) very high. For these reasons, aspects of the methodology and culture of science, such as its attitude to epistemic risk and to unconventional views, are relevant to the challenges of managing extreme technological risks. In this piece I discuss these issues with reference to a real-world example that shares many of the same features, that of so-called 'cold fusion'. (shrink)

This paper considers the debate between economists and philosophers about the role of values in economic analysis by examining the recent debate between Hilary Putnam and Sir Partha Dasgupta. It argues that although there has been a failure to communicate there is much more agreement than it seems. If Dasgupta's work is seen as part of the methodological tradition expounded by John Stuart Mill and John Neville Keynes, economists and philosophers will have a better basis for understanding each other. Unlike (...) the logical-positivist tradition, which treats facts and values as two mutually exclusive concepts, the Mill- Keynes tradition recognizes that facts and values are intertwined. Unlike the Smithian tradition, which blends the study of facts and normative rules, it divides economics into a science that studies "what is" and an art which considers "what ought to be done". (shrink)

Philosophical debates on the nature and significance of values in scientific knowledge and practices have differentiated cognitive (or epistemic) values from noncognitive (non-epistemic, such as moral or political) ones. The significance of cognitive values has come to be more or less commonly accepted, but the place of noncognitive values is much more controversial. Analysis and debate on values-related dimensions of scientific knowledge and inquiry has been on the rise in contemporary philosophy of science since 1970. This chapter provides an overview (...) of some current philosophical work on the subject and its possible impact on school science education. -/- First, a sample of these philosophical stances is presented, with emphasis on three different authors who recognise the role of non-epistemic values in scientific activity, without necessarily relinquishing a place for objectivity. Then, some of the rationales for including teaching about values in science education are addressed. The science education and philosophy education research is deployed to sketch some issues that would have to be taken into consideration when introducing one particular type of values – ethics related issues – in the secondary education classroom. -/- Finally, the desirability of a greater interaction among science and philosophy educators is emphasised. Mutual knowledge of the convergences and divergences in approach to values in scientific knowledge and practices, and the challenges posed by teaching about them, can lead to richer and more nuanced approaches to the common aspects in their respective topics. (shrink)

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

The function and legitimacy of values in decision making is a critically important issue in the contemporary analysis of science. It is particularly relevant for some of the more application-oriented areas of science, specifically decision-oriented science in the field of regulation of technological risks. Our main objective in this paper is to assess the diversity of roles that non-cognitive values related to decision making can adopt in the kinds of scientific activity that underlie risk regulation. We start out, first, by (...) analyzing the issue of values with the help of a framework taken from the wider philosophical debate on science and values. Second, we study the principal conceptualizations used by scholars who have applied them to numerous case studies. Third, we appraise the links between those conceptualizations and learning processes in decision-oriented science. In this, we recur to the concept of methodological learning, i.e., learning about the best methodologies for generating knowledge that is useful for science-based regulatory decisions. The main result of our analysis is that non-cognitive values can contribute to methodological improvements in science in three principal ways: as basis for critical analysis, for contextualizing methodologies, and for establishing the burden of proof. (shrink)

After decades of epistemological inquiry on the social construction of science, we have observed a renewed consensus on empiricism in application-oriented social sciences and a growing trust in evidence-based practice and decision-making. Drawing on the long-standing debate on value-ladenness, evidence and normativity in sciences, this article theoretically discusses and empirically illustrates the Life-World origins of methods in a domain of inquiry strongly characterized by an empiricist epistemic culture and a normative stance: Children and Media Studies. Adopting a reflexive approach to (...) their own research in such an epistemologically underexplored field, the authors analyze a standard research instrument and two procedures. The analysis illustrates how background assumptions shape the research method and how the procedures routinely conceal this work of shaping. In the discussion the authors cast light on the role scientific procedures play in the naturalization of a given moral order, and put forward the question of whether and how this “morality-building” feature of methods should be taken into account in the assessment of their appropriateness. In the conclusion the authors advance that the situated nature of scientific knowledge, rather than discrediting its relevance, is what makes it relevant, here and now, for the larger community the research may impact on. The authors discuss the risks of such a pragmatic outcome and propose the adoption of an oscillating epistemic stance as a way to cope with them. (shrink)

The idea that in order to be objective, research should be value-free, has recently been questioned in philosophy of science. I concentrate on two senses of objectivity, detached objectivity and interactive objectivity that do not require value-freedom. I use each of these to assess a young, strongly value-laden and overtly political discipline: indigenous studies. It has been criticised as relativistic and essentialistic, and in consequence, as not objective in the detached sense of objectivity, as values are used in place of (...) evidence. When addressing these critiques, I compare contemporary Sámi IS to early Finnish folkloristics. The interactive objectivity of the Sámi IS research community is increasing, and outside criticism is being taken into account. As a result, the detached objectivity of the conducted research has also increased. (shrink)