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)

The role of scientists as experts is crucial to public policymaking. However, the expert role is contested and unsettled in both public and scholarly discourse. In this paper, I provide a systematic account of the role of scientists as experts in policymaking by examining whether there are any normatively relevant differences between this role and the role of scientists as researchers. Two different interpretations can be given of how the two roles relate to each other. The separability view states that (...) there is a normatively relevant difference between the two roles, whereas the inseparability view denies that there is such a difference. Based on a systematic analysis of the central aspects of the role of scientists as experts – that is, its aim, context, mode of output, and standards, I propose a moderate version of the separability view. Whereas the aim of scientific research is typically to produce new knowledge through the use of scientific method for evaluation and dissemination in internal settings, the aim of the expert is to provide policymakers and the public with relevant and applicable knowledge that can premise political reasoning and deliberation. (shrink)

The modern discussion on the concept of truthlikeness was started in 1960. In his influential Word and Object, W. V. O. Quine argued that Charles Peirce's definition of truth as the limit of inquiry is faulty for the reason that the notion 'nearer than' is only "defined for numbers and not for theories". In his contribution to the 1960 International Congress for Logic, Methodology, and Philosophy of Science at Stan­ ford, Karl Popper defended the opposite view by defining a compara­tive (...) notion of verisimilitude for theories. The concept of verisimilitude was originally introduced by the Ancient sceptics to moderate their radical thesis of the inaccessibility of truth. But soon verisimilitudo, indicating likeness to the truth, was confused with probabilitas, which expresses an opiniotative attitude weaker than full certainty. The idea of truthlikeness fell in disrepute also as a result of the careless, often confused and metaphysically loaded way in which many philosophers used - and still use - such concepts as 'degree of truth', 'approximate truth', 'partial truth', and 'approach to the truth'. Popper's great achievement was his insight that the criticism against truthlikeness - by those who urge that it is meaningless to speak about 'closeness to truth' - is more based on prejudice than argument. (shrink)

The question of how to distinguish between science and non-science, the so-called ‘demarcation problem’, is one of the most high-profile, perennial, and intractable issues in the philosophy of science. It is not merely a philosophical issue, however, since it has a significant bearing on practical policy questions and practical decisions. This essay develops a pragmatic approach to the demarcation problem: it argues that while there are some core principles that we can use in distinguishing between science and non-science, particular judgments (...) and decisions about something's scientific status depend, in part, on practical goals and concerns. (shrink)

Is it ever permissible to publish a patient’s confidences without permission? I investigate this question for the field of psychoanalysis. Whereas most medical fields adopted a 1995 recommendation for consent requirements, psychoanalysis continues to defend the traditional practice of nonconsensual publication. Both the hermeneutic and the scientific branches of the field justify the practice, arguing that it provides data needed to help future patients, and both branches advance generalizations and causal claims. However the hermeneutic branch embraces methods tending to undermine (...) the reliability of such claims, while the scientific branch aims to improve the field’s empirical base – in their words, to advance psychoanalysis as a science. The scientific branch therefore has the stronger claim to the traditional practice, and it their claim that I consider. An immediate concern arises. We seem unable to answer the applied ethical question without first determining which ethical theory is correct; for defenders of the practice appeal variously to therapeutic privilege, principlism, and utilitarianism, while opponents wage autonomy-based arguments. The concern turns out to be unfounded, however, because all of these ethical approaches fail to justify the traditional practice. The more promising defenses fail partly because even the scientific branch of the field lacks empirically sound methods for establishing its causal claims and generalizations, often appealing to authority instead. I conclude that it is currently unethical for analysts to continue publishing their patients’ confidences without permission, and I suggest that the field help future patients by attending to its methodological problems. (shrink)

Imre Lakatos holds a well-deserved primary place in current philosophy of science. In this essay, Leslie Allan critically examines Lakatos' theory of knowledge in two key areas. The first area of consideration is Lakatos' notion that knowledge is gained through a process of competition between rival scientific research programmes. Allan identifies and discusses four problems with Lakatos' characterization of a research programme. Next, Allan considers Lakatos' proposed test of adequacy for theories of rationality using his methodology of historiographical research programmes. (...) Allan discovers tensions within Lakatos' criteria and suggests ways of strengthening his test. (shrink)

1. Overview and organizing themes 2. Historical Review: Aristotle to Mill 3. Logic of method and critical responses 3.1 Logical constructionism and Operationalism 3.2. H-D as a logic of confirmation 3.3. Popper and falsificationism 3.4 Meta-methodology and the end of method 4. Statistical methods for hypothesis testing 5. Method in Practice 5.1 Creative and exploratory practices 5.2 Computer methods and the ‘third way’ of doing science 6. Discourse on scientific method 6.1 “The scientific method” in science education and as seen (...) by scientists 6.2 Privileged methods and ‘gold standards’ 6.3 Scientific method in the court room 6.4 Deviating practices 7. Conclusion Bibliography Academic Tools Other Internet Resources Related Entries . (shrink)

This essay answers the “Bayesian Challenge,” which is an argument offered by Bayesians that concludes that belief is not relevant to rational action. Patrick Maher and Mark Kaplan argued that this is so because there is no satisfactory way of making sense of how it would matter. The two ways considered so far, acting as if a belief is true and acting as if a belief has a probability over a threshold, do not work. Contrary to Maher and Kaplan, Keith (...) Frankish argued that there is a way to make sense of how belief matters by introducing a dual process theory of mind in which decisions are made at the conscious level using premising policies . I argue that Bayesian decision theory alone shows that it is sometimes rational to base decisions on beliefs; we do not need a dual process theory of mind to solve the Bayesian Challenge. This point is made clearer when we consider decision levels : acting as if a belief is true is sometimes rational at higher decision levels. (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)

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)

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)

What is the epistemic position that a scientist must be in vis-à-vis a proposition, p, to be in a good enough epistemic position to assert that p to a fellow scientist within the scientific process? My aim is to provide an answer to this question and, more generally, to connect the epistemological debates about the epistemic norms of assertion to the debates about the nature of the scientific process. The question is important because science is a collaborative enterprise based on (...) a division of labor. It has even been suggested that such collaboration is a part of the scientific method. However, scientific collaboration depends upon communication between scientists—that is, intra-scientific testimony. After distinguishing some different kinds of intra-scientific testimony, I provide a specific proposal for an epistemic norm of assertion that generally governs such testimony. I argue that the proposal aligns with the requirements of three scientific virtues—replicability, revisability, and accountability. The discussion of replicability considers a prominent debate in the social and cognitive sciences. In conclusion, I consider some of the wider questions raised by characterizing scientific collaboration, division of labor, and more generally, scientific method via intra-scientific testimony. (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)

This highly multidisciplinary collection discusses an increasingly important topic among scholars in science and technology studies: objectivity in science. It features eleven essays on scientific objectivity from a variety of perspectives, including philosophy of science, history of science, and feminist philosophy. Topics addressed in the book include the nature and value of scientific objectivity, the history of objectivity, and objectivity in scientific journals and communities. Taken individually, the essays supply new methodological tools for theorizing what is valuable in the pursuit (...) of objective knowledge and for investigating its history. The essays offer many starting points, while suggesting new avenues of research. Taken collectively, the essays exemplify the very virtues of objectivity that they theorize—in reading them together, the reader can sense various anxieties about the dangerously subjective in our age and locate commonalities of concern as well as differences of approach. As a result, the volume offers an expansive vision of a research community seeking a communal understanding of its own methods and its own epistemic anxieties, struggling to enunciate the key problems of knowledge of our time and offer insight into how to overcome them. -/- (Contributors: Alex Csiszar, Scott Edgar, Peter Galison, Ian Hacking, Sandra Harding, Moira Howes, Paolo Savoia, Judy Segal, Joan Steigerwald, and Alison Wylie). (shrink)

Philosophers have recently argued, against a prevailing orthodoxy, that standards of knowledge partly depend on a subject’s interests; the more is at stake for the subject, the less she is in a position to know. This view, which is dubbed “Pragmatic Encroachment” has historical and conceptual connections to arguments in philosophy of science against the received model of science as value free. I bring the two debates together. I argue that Pragmatic Encroachment and the model of value-laden science reinforce each (...) other. Drawing on Douglas’ argument about the indispensability of value judgments in science, and psychological evidence about people’s inability to objectively reason about what they care about, I introduce a novel argument for Pragmatic Encroachment. (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)

Ghostwriting scandals are pervasive in industry-funded biomedical research, and most responses to them have presumed that they represent a sharp transgression of the norms of scientific authorship. I argue that in fact, ghostwriting represents a continuous extension of current socially accepted authorship practices. I claim that the radically collaborative, decentralized, interdisciplinary research that forms the gold standard in medicine is in an important sense unauthored, and that this poses a serious problem in applied social epistemology. It is no easy matter (...) to find procedural or architectural solutions that can secure epistemic trust and accountability for collaborative publishing in biomedicine. (shrink)

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

Against the ideal of value-free science I argue that science is not––and cannot be––value-free and that relevant values are both cognitive and moral. I develop an argument by indicating various aspects of the value-ladenness of science. The recognition of the value-ladenness of science requires rethinking our understanding of the rationality and responsibility of science. Its rationality cannot be seen as merely instrumental––as it was seen by the ideal of value-free science––for this would result in limiting the autonomy of science and (...) reducing scientists to “minds to hire”. The scientific rationality must be seen as practical rationality which takes into account the full horizon of values. The scientific responsibility must also be broaden in scope and type. On this basis I draw three practical conclusions concerning the organization of research and training of young scientists, appealing to Plato’s claim that those most capable of healing are also those most capable of harming. (shrink)

Non-empirical principles have always been a subject of interest of philoso-phers. Authors from different times and traditions agree that principles such as analogy or simplicity are present in the scientific practice. The disagreement comes out when these authors affirm that these principles have an epistemic function, and when they try to present reasons in order to found this state-ment. The first goal of this paper is to describe these principles and to point out their methodological importance. The second goal is (...) to introduce the discussion between the two most important models of philosophical fundamentation – it means, the logicism and the psychologism. The last goal – the main one – is to defend that the non-empirical principals have, legitimately, an epistemic role in the scientific investigation. (shrink)

The issue of whether science is, or can be, value-free has been debated for more than a century. The idea of value-free science is of course as old as science itself, and so are the arguments against this idea. Plato defended it..

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)

In contrast to the opinion of numerous authors (e.g. R. Rudner, P. Kitcher, L. R. Graham, M. Dummett, N. Chomsky, R. Lewontin, etc.) it is argued here that the formation of opinion in science should be greatly insulated from political considerations. Special attention is devoted to the view that methodological standards for evaluation of scientific theories ought to vary according to the envisaged political uses of these theories.

The theory of the economics of research played a central role in the analysis of scientific method of Charles Sanders Peirce. The present paper describes Peirce's project as he saw it and then puts its machinery to work in an analysis of current issues in the philosophy of science. The aim is to show that, even apart from their historical interest, Peirce's ideas on this subject have a substantial systematic interest.

This paper critically examines a particular strategy for resolving the central ethical dilemma associated with randomized clinical trials — the “community equipoise” strategy . The dilemma is that RCTs appear to violate a physician's duty to choose that therapy which there is most reason to believe is in the patient's best interest, randomizing patients even once evidence begins to favor one treatment. The community equipoise strategy involves the suggestion that our judgment that neither treatment is to be preferred is to (...) be assessed according to a community rather than an individual standard. Thus, though a physician may personally believe that there is some reason to prefer one treatment, patients can legitimately be randomized if there remains disagreement in the community of medical professionals. Rationales in favor of this conception include the following: medical knowledge is best understood as residing in the community, the judgments of others count as evidence, and so should change one's own opinion, subjects would not be better off outside the trial, and the point of any trial is the resolution of dispute in the medical community. I critically examine these rationales and argue that they are insufficient. Amongst the problems are tensions between various of these underlying rationales, and important ambiguities in just what the CE criterion is to amount to. Finally, I argue that even if use of CE was justified, it would not justify carrying out RCTs anywhere near long enough to discharge our duty to gain reliable knowledge on which to base safe and effective medical practice. Hence, we need some different justification for carrying out RCTs. (shrink)

Evidentialism is the thesis that epistemic justification for belief supervenes on evidential support. However, we claim there are cases in which, even though two subjects have the same evidential support for a proposition, only one of them is justified. What make the difference are pragmatic factors, factors having to do with our cares and concerns. Our argument against evidentialism is not based on intuitions about particular cases. Rather, we aim to provide a theoretical basis for rejecting evidentialism by defending a (...) “pragmatic” necessary condition on epistemic justification. We argue for the following necessary condition for justification: S is justified in believing that p only if S is rational to prefer (and, hence, act) as if p. In light of this necessary condition, the price of evidentialism is skepticism, or something close to it. (shrink)

Although epistemic values have become widely accepted as part of scientific reasoning, non-epistemic values have been largely relegated to the "external" parts of science (the selection of hypotheses, restrictions on methodologies, and the use of scientific technologies). I argue that because of inductive risk, or the risk of error, non-epistemic values are required in science wherever non-epistemic consequences of error should be considered. I use examples from dioxin studies to illustrate how non-epistemic consequences of error can and should be considered (...) in the internal stages of science: choice of methodology, characterization of data, and interpretation of results. (shrink)

The underreporting of suspected adverse drug reactions remains a primary issue for contemporary post-market drug surveillance or ‘pharmacovigilance.’ Pharmacovigilance pioneer W.H.W. Inman argued that ‘deadly sins’ committed by clinicians are to blame for underreporting. Of these ‘sins,’ ignorance and lethargy are the most obvious and impactful in causing underreporting. However, recent analyses show that diffidence, insecurity, and indifference additionally play a major role. I aim to augment our understanding of diffidence, insecurity, and indifference by arguing these sins are underwritten by (...) value judgments arising via epistemic risk. I contend that ‘evidence-based’ medicine codifies these sins. (shrink)

What is the proper role for scientists in policymaking? This paper explores various roles that scientists can play, with an eye to questions that these roles raise about value-neutrality and technocracy. Where much philosophical literature is concerned with the conduct of research or the transmission of research results to policymakers, I am interested in various non-research roles that scientists take on in policymaking. These include raising the alarm on issues, framing and conceptualising problems, formulating potential policies, assessing policy options for (...) expected efficacy, and more. I consider examples from climate change and Covid-19 policymaking. My intention is to encourage philosophers to expand their interest in values in science out from the conduct of research to the wide array of roles that scientists play in policymaking. The paper is therefore an overview of the landscape of potential research questions, rather than a presentation of a single argument. (shrink)

There is a growing concern for the proper role of science within democratic societies, which has led to the development of new science policies for the implementation of social responsibility in research. Although the very expression ‘social responsibility of science’ may be interpreted in different ways, many of these emerging policy frameworks define it, at least in part, as a form of anticipative reflection about the potential impacts of research in society. What remains a rather under-discussed issue is the definition (...) of the bearer of the social responsibility of science. In other words, it is not clear who is supposed to engage in such an anticipative reflection, whether individual researchers or research groups. In the past few years, philosophers of science have begun to use qualitative research methods to fill the gaps between normative models of the organisation of ideal scientific communities and the reality of actual scientific practices. In this article, I follow this approach to discuss the issue of the collective dimension of the social responsibility of science. I rely on a qualitative study conducted on an interdisciplinary research group and I describe how group dynamics position individuals and distribute duties and roles, including social responsibility. Qualitative descriptions of the distribution of duties within actual research groups should inform the formulation of general prescriptive theories on the collective responsibility of science. (shrink)

There seems to be an emerging consensus among many philosophers of science that non-epistemic values ought to play a role in the process of scientific reasoning itself. Recently, a number of philosophers have focused on the role of values in scientific classification or taxonomy. Their claim is that a choice of ontology or taxonomic scheme can only be made, or should only be made, by appealing to non-epistemic or social values. In this paper, I take on this “argument from ontological (...) choice,” claiming that it equivocates on the notion of choice. An ontological choice can be understood either in terms of determining which taxonomic scheme is valid, or in terms of deciding which taxonomic scheme to deploy in a given context. I try to show that while the latter can be determined in part by social values, the former ought not to be so determined. (shrink)

During the Covid-19 pandemic, a considerable amount of people seem to have been lured into believing in conspiracy theories. These people deliberately disregard expert advice by virologists and physicians concerning social behaviour that is aimed at reducing the number of new infections. Disregarding traditional experts and their advice is just one example of what, in the philosophy of science, is referred to as a crisis of expertise – the phenomenon whereby people seem to have lost their trust in traditional expert (...) advice and are looking for alternatives. In the following paper, the trend to use Internet technology as an epistemic alternative will be analysed in detail by investigating the question of whether the Internet really allows people to become epistemically more autonomous. The focus will be on the epistemic and moral vulnerability of people resorting to new media tools instead of relying on traditional expert opinion. It will be shown that some important presuppositions about the Internet and, in particular, social media tools as alternative ways to collect information and find emotional support in a group of like-minded people cannot be maintained. (shrink)

According to subject‐sensitive invariantism (SSI), whether S knows that p depends not only on the subject's epistemic position (the presence of a true belief, sufficient warrant, etc.) but also on non‐epistemic factors present in the subject's situation; such factors are seen as “encroaching” on the subject's epistemic standing. Not the only such non‐epistemic factor but the most prominent one consists in the subject's practical stakes. Stakes‐based SSI holds that two subjects can be in the same epistemic position with respect to (...) some proposition but with different stakes for the two subjects so that one of them might know the proposition while the other might fail to know it. It is remarkable that the notion of stakes has not been discussed much in great detail at all so far. This paper takes a closer look at this notion and proposes a detailed, new analysis. It turns out that there is more than one kind of stakes, namely event‐stakes, knowledge‐stakes and action‐stakes. I discuss several issues that even plausible notions of stakes raise and propose solutions. (shrink)

Mainstream views of medical research tell us it should be a fact-based, value-free endeavor: what a scientist (or her funding source) wants or cares about should not influence her findings. At the same time, we also sometimes criticize medical research for failing to embody certain values, e.g. when we criticize pharmaceutical companies for largely ignoring the diseases that affect the global poor. This chapter seeks to reconcile these perspectives by distinguishing appropriate from inappropriate influences of values on medical research. It (...) divides this broad question into two narrower ones, the Role Question (at what points in the research process is value influence potentially acceptable?) and the Content Question (when value influence is potentially acceptable, what specific values should researchers use?), and then draws on the philosophical literature on values in science to explore answers to each of them. (shrink)

Science is, if not the most, at least one of the most important human activities which has an undeniable impact on our lives. However, it is a matter of debate that science and its various applications have many negative effects besides their numerous positive contributions. As the negative effects of the science and its applications have become more visible, the science-value relation has regained popularity in the philosophy of science. Precautionary principle is one of the central concepts of the late (...) science-value debates. We first scrutinize the science-value relation, especially whether the science is value-free or value-laden activity, from the perspective of history and philosophy of science, and argue that sciences involve both epistemic and non-epistemic values. Then we introduce the precautionary principle and discuss the possible causes and outcomes of having it as a methodological component of scientific research. Finally, we argue that, if the science-value relation can be reestablished on ethical grounds, as the precautionary principle demands, the negative effects of science and its applications on human health and environment might be minimized and science could contribute more to human happiness. -/- Bilim yaşamımızı biçimlendiren en önemli insan etkinliklerinden birisi, belki de en önemlisidir. Ancak bilimlerin ve onun çeşitli uygulamalarının insan yaşamına olumlu katkılarının yanında insan ve çevre sağlığı üzerinde pek çok olumsuz etkilerinin de olduğu tartışılmaktadır. Bilim ve uygulamalarının insan sağlığı ve çevre üzerindeki olumsuz etkilerinin her geçen gün daha çok görünür hâle gelmesi, bilim-değer ilişkisini yeniden önemli bir tartışma başlığı hâline getirmiştir. İhtiyat ilkesi bilim-değer ilişkisi üzerine yapılan tartışmaların odağında yer alan kavramlardan biridir. Biz çalışmamızda önce bilim-değer ilişkisini, bilimin değerden bağımsız bir etkinlik olup olmadığını bilim tarihi ve felsefesi perspektifinden ele alıyor ve bilimlerin hem epistemik hem de epistemik olmayan değerler içerdiğini savunuyoruz. Daha sonra ihtiyat ilkesini ele alıyor ve onun bilimsel araştırmaların yöntembilimsel bir bileşeni hâline getirilmesinin olası nedenleri ve sonuçları üzerinde duruyoruz. Son olarak, bilim-değer ilişkisinin, ihtiyat ilkesi örneğinde olduğu gibi etik temelli kurulması durumunda bilim ve uygulamalarının insan sağlığı ve çevre üzerindeki olumsuz etkilerinin azaltılabileceğini ve bilimin insan mutluluğuna daha çok katkı sağlayabileceğini tartışıyoruz. (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 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)

This article discusses Sven Ove Hansson’s corpus model for the influence of values (in particular, non-epistemic ones) in the hypothesis acceptance/rejection phase of scientific inquiry. This corpus model is based on Hansson’s concepts of scientific corpus and science ‘in the large sense’. I first present Hansson’s corpus model of value influence with some introductory comments about its origins, a detailed presentation of the model with a new terminology, an analysis of its limits, and an appreciation of its handling of controversial (...) non-epistemic values. I conclude that it is a very good candidate for managing value influence, because contrary to other models in the literature it is fairly simple, it provides a universal and systematic procedure for dealing with values, and it syste- matically preserves the epistemic integrity of science. I then study some difficulties associated with the model’s central feature of taking the maximum level of evidence required by the applications of a claim in order for the latter to enter the scientific corpus: the difficulty to identify this maximum requirement; the non-optimality of this requirement with respect to other less demanding requirements; the potentially detrimental consequences of the preference for false negatives over false positives on which it relies; and the issue of whether there can nevertheless be requirements higher than this maximum. I show that these issues may potentially challenge the corpus model. Finally, I call for empirical work (in particular, an investigation of scientists’ and engineers’ own normative views) in order to better assess these issues. (shrink)

If scientists violate principles and practices of routine science to quickly develop interventions against catastrophic threats, they are engaged in what I call fast science. The magnitude, imminence, and plausibility of a threat justify engaging in and acting on fast science. Yet, that justification is incomplete. I defend two principles to assess fast science, which say: fast science should satisfy as much as possible the reliability-enhancing features of routine science, and the fast science developing an intervention against a threat should (...) not depend on the same problematic assumptions as the fast science which estimates the magnitude, imminence, and plausibility of the threat. (shrink)

Havstad (2022) argues that the argument from inductive risk for the claim that non-epistemic values have a legitimate role to play in the internal stages of science is deductively valid. She also defends its premises and thus soundness. This is, as far as we are aware, the best reconstruction of the argument from inductive risk in the existing literature. However, there is a small flaw in this reconstruction of the argument from inductive risk which appears to render the argument invalid. (...) This flaw is superficial, and a small amendment to it rescues the claim of validity. (shrink)

Drug regulation is fraught with inductive risk. Regulators must make a prediction about whether or not an experimental pharmaceutical will be effective and relatively safe when used by typical patients, and such predictions are based on a complex, indeterminate, and incomplete evidential basis. Such inductive risk has important practical consequences. If regulators reject an experimental drug when it in fact has a favourable benefit/harm profile, then a valuable intervention is denied to the public and a company’s material interests are needlessly (...) thwarted. Conversely, if regulators approve an experimental drug when it in fact has an unfavourable benefit/harm profile, then resources are wasted, people are needlessly harmed, and other potentially more effective treatments are underutilized. Given that such regulatory decisions have these practical consequences, non-epistemic values about the relative importance of these consequences impact the way such regulatory decisions are made (similar to the analysis of laboratory studies on the toxic effects of dioxins presented in Douglas [2000]). To balance the competing demands of the pertinent non-epistemic values, regulators must perform what I call an “inductive risk calculus.” At least in the American context this inductive risk calculus is not well-managed. (shrink)

The value-free ideal in science has been criticised as both unattainable and undesirable. We argue that it can be defended as a practical principle guiding scientific research even if the unattainability and undesirability of a value-free end-state are granted. If a goal is unattainable, then one can separate the desirability of accomplishing the goal from the desirability of pursuing it. We articulate a novel value-free ideal, which holds that scientists should act as if science should be value-free, and we argue (...) that even if a purely value-free science is undesirable, this value-free ideal is desirable to pursue. (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)

How could ectogestative technology disrupt gender roles, parenting practices, and concepts such as ‘birth’, ‘body’, or ‘parent’? In this chapter, we situate this emerging technology in the context of the history of reproductive technologies and analyse the potential social and conceptual disruptions to which it could contribute. An ectogestative device, better known as ‘artificial womb’, enables the extra-uterine gestation of a human being, or mammal more generally. It is currently developed with the main goal of improving the survival chances of (...) extremely premature neonates. We argue that the intended use of the technology in neonatal intensive care units, as an alternative to current incubators (’partial-ectogestation’), challenges concepts such as ‘birth’, ‘fetus’, and ‘neonate’, and has several ethico-legal implications. We moreover address a more futuristic scenario where the entire embryological and fetal development could happen within an artificial womb (’full-ectogestation’). Such a scenario reveals the disruption of gender roles, parenting practices, and concepts such as ‘mother’, ‘father’, and ‘parent’. Both full- and partial-ectogestation would have implications for engineering and design, law-making, ethics, and philosophical anthropology. (shrink)

The setting of evidential standards is a core practice of scientific assessment for policy. Persuaded by considerations of inductive risk, philosophers generally agree that the justification of evidential standards must appeal to non-epistemic values but debate whether the balance of non-epistemic reasons favours varying evidential standards versus maintaining fixed high evidential standards in assessment, as both sets of standards promote different and important political virtues of advisory institutions. In this paper, I adjudicate the evidential standards debate by developing a novel (...) argument from justice, drawing on the IPCC’s assessment of climate impacts as a case study. I argue that in assessments marked by background evidential inequality, maintaining fixed high evidential standards results in an unequal distribution of ‘epistemic power’ among stakeholders, producing a ‘powerful assessment’ for the data-rich (a high rate of findings) and a ‘weak assessment’ for the data-poor (a low rate of findings). Where such inequalities of epistemic power disadvantage those in data-poor regions with respect to fundamental interests, such as basic human rights, we have decisive reasons of justice to vary evidential standards. (shrink)

1. Biomedical sciences are fast-growing fields with unprecedented speed of research outputs, especially in the quantities of papers. Philosophers aiming to study ongoing biomedical changes face cha...

Within contemporary science, it is common practice to compare data points to the average, i.e., to the statistical mean. Because this practice is so familiar, it might at first appear not to be the sort of thing that requires explanation. But recent research in cognitive science and in the history of science gives us reason to adopt the opposite perspective. Cognitive science research on the ways people ordinarily make sense of the world suggests that, instead of using a purely statistical (...) notion of the average, people tend to use a value-laden notion of the normal. Similarly, historical research on the scientific practices used in other time periods indicates that, prior to the nineteenth century, scientists tended to make use of a notion of the normal that was overtly value-laden. These findings give us reason to rethink certain familiar facts about scientific practice. In particular, they suggest that the fact that scientists so often make use of the statistical average should be seen as a highly surprising fact, the sort of thing that calls out for explanation. (shrink)

The statement everyone wants to live a fulfilled and happy life may seem simple, self-evident, and even trivial at first glance. However, upon closer philosophical analysis, can we unequivocally assert that people are truly focused on well-being? Assuming they are, the question becomes: what guidelines should be followed and how should one behave in order to achieve true well-being and attain their goals? One popular viewpoint is that cultivating moral virtues and personal qualities is essential for a life of "true" (...) well-being, rather than mere pleasure. This perspective is not particularly original, as it was advocated quite clearly by Aristotle. However, we must ask: what guarantees that virtue will lead to well-being? Can we really ignore the common-sense doubt that virtue (and moral life), as Kant points out, may not be rewarded with any form of well-being or "happiness" in the broadest sense during our earthly existence? How might we address this doubt? If questions about the relationship between happiness and virtue have been asked since ancient times, why don't we have definitive answers yet? Perhaps there is something wrong with the questions themselves, as is often the case in philosophy. Views on this relationship have influenced the modification of theories that philosophers have put forth in order to provide satisfactory answers. One such theory is the renewed and modernized ethics of virtue, which places the greatest emphasis on building an individual's moral character, assuming that Aristotelian character virtues such as courage, honesty, generosity, prudence, self-control, and compassion will enable us to lead a happy and fulfilling life. "Virtues" refer to a wide range of "excellences" or activities that individuals can use to perfect themselves. For example, an ordinary person might accept that courage can make their life more fulfilling, but it's important to recognize that virtues cannot be acquired overnight. Furthermore, many people believe that virtues are innate qualities that one either possesses or lacks. In contrast, ethics of virtue provides guidance and instructions for developing virtues over extended periods of time, as well as for continuously "practicing" the development of moral characteristics that will make us better individuals. The central and most significant concept in ethics of virtue is the golden mean, which can be interpreted in various ways. Essentially, ethics of virtue offers a path to a life filled with pleasure, harmony, and virtuous action. However, this collection of essays, Virtues and Vices: Between Ethics and Epistemology, is not exclusively concerned with virtues or ethics. Knowledge, as well as the processes of belief formation and justification of those beliefs, are also essential to ethics of virtue. Going back to the systematic Greek philosopher and his teacher, we can emphasize that virtues and knowledge are inseparable. Without the epistemology of virtues, even a thematic collection like this one would be incomplete. The Epistemology of Virtue is a relatively new branch of philosophy that has emerged as a response to questions about the value-neutrality of science. For a long time, the separation of values and scientific inquiry has been viewed as the correct methodological approach. However, it is clear that every scientist is also a human being with their own virtues and flaws. It is naive to assume that a scientist can leave their values and moral qualities outside the laboratory and treat their colleagues in the team differently than they would treat other people in their everyday life. Taking this into account, we can notice that Epistemology of Virtue is a theory that examines the influence of virtues on the processes of acquiring knowledge. Epistemic virtues refer to qualities that enable individuals to acquire knowledge and make reliable judgments. These virtues include traits such as openness to diverse testimonies and arguments, critical thinking, a tendency to question one's own assumptions, and the ability to identify errors in one's own thought processes. Just like in virtue ethics, the Epistemology of Virtue raises the question of how we can cultivate the necessary virtues and how these virtues can have a positive impact on both individuals and society. The field also explores how epistemic virtues can be put into practice, such as in educational settings, scientific research, and various social activities. Finally, we turn to a topic that is often overlooked in philosophy - human flaws. While ethics typically views flaws as the opposite of virtues, requiring correction both individually and socially, the Epistemology of Virtue questions what happens when flaws occur in knowledge-related qualities. Do these flaws also need to be eliminated, or are they an inherent part of the process of acquiring knowledge and making judgments? At first glance, prejudices, stereotypes, dogmatism, conformism, closed-mindedness towards arguments and evidence, as well as uncritical acceptance of authority, can all hinder our ability to acquire knowledge. Epistemologists view these qualities as vices, rather than flaws like ethicists do. The Epistemology of Vices is the newest of the three branches of philosophy covered in this thematic collection, and it examines the ways in which false and untrue beliefs develop and persist in society. This area of study seeks to answer questions about how people form delusions and whether it is possible to overcome them. On the other hand, the Epistemology of Virtue is like the "older brother" that supervises these vices. It contributes to the investigation and overcoming of vices by developing virtues that enable individuals to more accurately assess the truthfulness of their beliefs. However, even though vices can have a destructive impact on knowledge acquisition, the question remains: are vices always detrimental in every context? Conversely, can virtues be detrimental? For example, does a virtue like solidarity sometimes hinder the efficient formation of true beliefs in time-sensitive situations such as finding a vaccine to combat a virus pandemic? Can vices be useful? Can stubbornness and uncooperativeness sometimes help a research team by allowing two sides to reach the same goal through different paths? Within this collection, some of these questions will receive answers, some of which may confirm existing impressions, while others may surprise readers. The thematic collection, Virtues and Vices: Between Ethics and Epistemology, consists of four interesting chapters and 21 papers that cover the selected topic through the prism of philosophical disciplines such as ethics, epistemology, the history of philosophy, philosophy of mind, political philosophy, and philosophy of science. In this introduction, we will not discuss the contents of the articles so as not to disrupt the intended integral approach to reading the collection. A significant feature of this collection is the continuity that extends from one paper to another, from topic to topic, and from problem to problem. Lastly, we would like to express our gratitude to the Faculty of Philosophy at the University of Belgrade for their support in realizing this collection, as well as to our colleagues from the Department and Institute of Philosophy who have made this collection a relevant and significant achievement with their contributions. We are also thankful to the reviewers of the collection as a whole, as well as to the referees of individual articles, who have provided us with detailed comments and remarks that have made this collection clearer and more comprehensive. We owe a special thanks to our colleagues from Zagreb, Rijeka, and Maribor, whose exceptional papers have contributed to making this collection an unabashed international contribution to debates about the ethics and epistemology of virtues and vices. (shrink)

In the last two decades, a robust consensus has emerged among philosophers of science, whereby political, ethical, or social values must play some role in scientific inquiry, and that the ‘value-free ideal’ is thus a misguided conception of science. However, the question of how to distinguish, in a principled way, which values may legitimately influence science remains. This question, which has been dubbed the ‘new demarcation problem,’ has until recently received comparatively less attention from philosophers of science. In this paper, (...) I appeal to Rawls’s theory of justice (1971) on the basis of which I defend a Rawlsian solution to the new demarcation problem. As I argue, the Rawlsian solution places plausible constraints on which values ought to influence scientific inquiry, and, moreover, can be fruitfully applied to concrete cases to determine how the conflicting interests of stakeholders should be balanced. After considering and responding to the objection that Rawls’s theory of justice applies only to the “basic structure” of society, I compare the Rawlsian solution to some other approaches to the new demarcation problem, especially those that emphasize democratic criteria. (shrink)