Procedural justifications of democracy emphasize inclusiveness and respect and by doing so come into conflict with instrumental justifications that depend on voters’ competence. This conflict raises questions about jury theorems and makes their standing in democratic theory contested. We show that a type of no-regret learning called meta-induction can help to satisfy the competence assumption without excluding voters or diverse opinion leaders on an a priori basis. Meta-induction assigns weights to opinion leaders based on their past predictive performance to determine (...) the level of their inclusion in recommendations for voters. The weighting minimizes the difference between the performance of meta-induction and the best opinion leader in hindsight. The difference represents the regret of meta-induction whose minimization ensures that the recommendations are optimal in supporting voters’ competence. Meta-induction has optimal truth-tracking properties that support voters’ competence even if it is targeted by mis/disinformation and should be considered a tool for supporting democracy in hyper-plurality. (shrink)

In recent years, it has become commonplace among the Global Burden of Disease study authors to regard the disability-adjusted life year primarily as a descriptive health metric. During the first phase of the GBD, it was widely acknowledged that the DALY had built-in evaluative assumptions. However, from the publication of the 2010 GBD and onwards, two central evaluative practices—time discounting and age-weighting—have been omitted from the DALY model. After this substantial revision, the emerging view now appears to be that the (...) DALY is primarily a descriptive measure. Our aim in this article is to argue that the DALY, despite changes, remains largely evaluative. Our analysis focuses on the understanding of the DALY by comparing the DALY as a measure of disease burden in the two most significant phases of GBD publications, from their beginning to the most recent releases. We identify numerous assumptions underlying the DALY and group them as descriptive or evaluative. We conclude that while the DALY model arguably has become more descriptive, it remains, by necessity, largely evaluative. (shrink)

The story of the rise and fall of pragmatism is sometimes called the eclipse narrative. This paper addresses a specific version of this narrative that the logical empiricists arrived in North America in the 1930s and within 30 years had supplanted the pragmatists as the dominant philosophy there. Philosophers such as Alan Richardson and Cheryl Misak have challenged this view by emphasizing the similarities between these two movements. While both seem to admit that there is a distinction between the two (...) when it comes to values, I point out that the issue of values feeds into all aspects of pragmatist thinking, and so despite what seems on the surface to be agreements between the two movements, they were still quite different in all areas of their thinking. I challenge the degree of similarities by arguing that there were some sharp distinctions between the two movements, with the most important being the fact-value distinction and its impact on how each conceived of the term “practical.” I close by addressing how these distinctions should affect how we conceive of the eclipse narrative. (shrink)

The epistemic attitudes of scientists, such as epistemic tolerance and authoritarianism, play important roles in the discourse about rivaling theories. Epistemic tolerance stands for the mental attitude of an epistemic agent, e.g., a scientist, who is open to opposing views, while epistemic authoritarianism represents the tendency to uncritically accept views of authorities. Another relevant epistemic factor when it comes to the epistemic decisions of scientists is the skepticism towards the scientific method. However, the question is whether these epistemic attitudes are (...) influenced by their sociopolitical counterparts, such as the researcher’s degree of conservatism. To empirically investigate the interplay between epistemic and sociopolitical attitudes of scientists, we conducted a survey with researchers (N = 655) across different disciplines. We propose scales for measuring epistemic tolerance and epistemic authoritarianism, as well as a scale for detecting the participants' readiness to question the scientific method. Furthermore, we investigate the relationship between epistemic tolerance and epistemic authoritarianism on the one hand, and career stage and sociopolitical views on the other hand. Interestingly, our study found only small correlations between the participants' degree of conservatism and their epistemic attitudes. This suggests that political views, against common argumentation, actually do not play an important role in one’s scientific decisions. Moreover, social scientists scored higher on the epistemic tolerance and lower on the epistemic authoritarianism scale than natural scientists. Finally, the results indicate that natural scientists question the scientific method less than social scientists. (shrink)

In 1976, the Genetics Society of America published a document entitled “Resolution of Genetics, Race, and Intelligence.” This document laid out the Society’s position in the IQ controversy, particularly that on scientific and ethical questions involving the genetics of intellectual differences between human populations. Since the GSA was the largest scientific society of geneticists in the world, many expected the document to be of central importance in settling the controversy. Unfortunately, the Resolution had surprisingly little influence on the discussion. In (...) 1979, William Provine analyzed the possible factors that decreased the impact of the Resolution, among them scientists’ limited understanding of the relationship between science and ethics. Through the analysis of unpublished versions of the Resolution and exchanges between GSA members, I will suggest that the limited impact of the statement likely depended on a shift in the aims of the GSA due to the controversies that surrounded the preparation of the document. Indeed, the demands of the membership made it progressively more impartial in both scientific and political terms, decreasing its potential significance for a wider audience. Notably, the troubled history of the Resolution raises the question of what can make effective or ineffective the communication between scientists and the public—a question with resonance in past and present discussions on topics of social importance. (shrink)

In this paper, I show that there are important but hitherto unnoticed similarities between key figures of the Vienna Circle and early defenders of sociology of knowledge. The similarities regard their stance on potential implications of the study of science for political and societal issues. I argue that notably Otto Neurath and Karl Mannheim are concerned with proposing a genuine political philosophy of science that is remarkably different from today’s emerging interest in the relation between science and society in philosophy (...) of science. (shrink)

Many economic measures are structured to reflect ethical values. I describe three attitudes towards this: maximalism, according to which we should aim to build all relevant values into measures; minimalism, according to which we should aim to keep values out of measures; and an intermediate view. I argue the intermediate view is likely correct, but existing versions are inadequate. In particular, economists have strong reason to structure measures to reflect fixed, as opposed to user-assessable, values. This implies that, despite disagreement (...) about precisely how to do so, economists should standardly adjust QALYs and DALYs to reflect egalitarian values. (shrink)

In response to widespread policy prescriptions for responsible innovation, social scientists and engineering ethicists, among others, have sought to engage natural scientists and engineers at the ‘midstream’: building interdisciplinary collaborations to integrate social and ethical considerations with research and development processes. Two ‘laboratory engagement studies’ have explored how applying the framework of midstream modulation could enhance the reflections of natural scientists on the socio-ethical context of their work. The results of these interdisciplinary collaborations confirm the utility of midstream modulation in (...) encouraging both first- and second-order reflective learning. The potential for second-order reflective learning, in which underlying value systems become the object of reflection, is particularly significant with respect to addressing social responsibility in research practices. Midstream modulation served to render the socio-ethical context of research visible in the laboratory and helped enable research participants to more critically reflect on this broader context. While lab-based collaborations would benefit from being carried out in concert with activities at institutional and policy levels, midstream modulation could prove a valuable asset in the toolbox of interdisciplinary methods aimed at responsible innovation. (shrink)

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

Philosophers of science now broadly agree that doing good science involves making non-epistemic value judgments. I call attention to two very different normative standards which can be used to evaluate such judgments: standards grounded in ethics and standards grounded in political philosophy. Though this distinction has not previously been highlighted, I show that the values in science literature contain arguments of each type. I conclude by explaining why this distinction is important. Seeking to determine whether some value-laden determination meets substantive (...) ethical standards is a very different endeavor from seeking to determine if it is politically legitimate. (shrink)

I compare two different arguments for the importance of bringing new voices into science: arguments for increasing the representation of women, and arguments for the inclusion of the public, or for “citizen science”. I suggest that in each case, diversifying science can improve the quality of scientific results in three distinct ways: epistemically, ethically, and politically. In the first two respects, the mechanisms are essentially the same. In the third respect, the mechanisms are importantly different. Though this might appear to (...) suggest a broad similarity between the cases, I show that the analysis reveals an important respect in which efforts to include the public are more complex. With citizen science programs, unlike with efforts to bring more women into science, the three types of improvement are often in conflict with one another: improvements along one dimension may come at a cost on another dimension, suggesting difficult trade-offs may need to be made. (shrink)

I examine the feminist epistemic values in science, presented by Helen Longino, and their role in framing microbiome causality in the study of inflammatory bowel disease (IBD). In particular, I show how values presented as feminist give an alternative view in scientific theories—focusing on ontological heterogeneity and mutuality of interactions rather than simplicity and one causal direction—when looking at relations between organisms and microorganisms, and between organisms (particularly humans) and their environment. I identify two approaches in microbiome study, an immunological (...) approach that looks at the microbiome pathogenicity and an ecological approach that studies the microbial activity and functions. I show the puzzles stemming from the traditional background beliefs of the immune self and germ theory in the study of IBD causality. Furthermore, I argue for the benefits of a shift to the ecological view of body-microbe interrelations. I conclude with the benefits and advantages of feminist values over traditional ones, both in creating new ways of understanding organisms’ physiology and immune systems and for future biomedical studies involving microbiome causality. (shrink)

Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by policymakers. Though this may sound like (...) a natural proposal, I show it offers guidance that conflicts with standard scientific practices. I conclude by considering one cost of the proposal: that it would prevent scientists from acting as advocates in a way that is currently common in certain fields. I accept that the proposal would restrict scientists’ political advocacy rights, but argue that the benefits of adopting it — promoting democratic governance — justify the restriction. (shrink)

If we cannot define science using only analysis or description, then we must rely on imagination to provide us with suitable objects of philosophical inquiry. This process ties our intellectual findings to the particular ways in which we philosophers think about scientific practice and carve out a cognitive space between real world practice and conceptual abstraction. As an example, I consider Heather Douglas’s work on the responsibilities of scientists and document her implicit ideal of science, defined primarily as an epistemic (...) practice. I then contrast her idealization of science with an alternative: “technoscience,” a heuristic concept used to describe nanotechnology, synthetic biology, and similar “Mode 2” forms of research. This comparison reveals that one’s preferred imaginary of science, even when inspired by real practices, has significant implications for the distribution of responsibility. Douglas’s account attributes moral obligations to scientists, while the imaginaries associated with “technoscience” and “Mode 2 science” spread responsibility across the network of practice. This dynamic between mind and social order, I argue, demands an ethics of imagination in which philosophers of science hold themselves accountable for their imaginaries. Extending analogous challenges from feminist philosophy and Mills’s. “Ideal Theory’ as Ideology,” I conclude that we ought to reflect on the idiosyncrasy of the philosophical imagination and consider how our idealizations of science, if widely held, would affect our communities and broader society. (shrink)

Le but de cet article est d'examiner le rôle joué par les valeurs dans les activités de représentation en science, notamment la construction ou utilisation de modèles, en distinguant représentation concrète et abstraite. Un modèle hiérarchique est proposé. La conclusion est que l'influence des valeurs sociales dans la représentation scientifique dépend du niveau d'abstraction considéré, et qu'elle n'est problématique que quand des valeurs locales sont considérées pour évaluer des représentations plus générales.

Ravit Dotan argues that a No Free Lunch theorem from machine learning shows epistemic values are insufficient for deciding the truth of scientific hypotheses. She argues that NFL shows that the best case accuracy of scientific hypotheses is no more than chance. Since accuracy underpins every epistemic value, non-epistemic values are needed to assess the truth of scientific hypotheses. However, NFL cannot be coherently applied to the problem of theory choice. The NFL theorem Dotan’s argument relies upon is a member (...) of a family of theorems in search, optimization, and machine learning. They all claim to show that if no assumptions are made about a search or optimization problem or learning situation, then the best case performance of an algorithm is that of random search or random guessing. A closer inspection shows that these theorems all rely upon assigning uniform probabilities over problems or learning situations, which is just the Principle of Indifference. A counterexample can be crafted that shows that NFL cannot be coherently applied across different descriptions of the same learning situation. To avoid this counterexample, Dotan needs to privilege some description of the learning situation faced by scientists. However, this means that NFL cannot be applied since an important assumption about the problem is being made. So Dotan faces a dilemma: either NFL leads to incoherent best-case partial beliefs or it is inapplicable to the problem of theory choice. This negative result has implications for the larger debate over theory choice. (shrink)

Naturalism in the philosophy of science has proceeded differently than the familiar forms of meta-philosophical naturalism in other sub-fields, taking its cues from “science as we know it” (Cartwright in The Dappled World, Oxford University Press, Oxford, 1999, p. 1) rather than from a philosophical conception of “the Scientific Image.” Its primary focus is scientific practice, and its philosophical analyses are complementary and accountable to empirical studies of scientific work. I argue that naturalistic philosophy of science is nevertheless criterial for (...) other versions of meta-philosophical naturalism; relying on a conflicting conception of scientific understanding would constitute a “first philosophy” imposed on the sciences. Moreover, naturalistic philosophy of science provides the basis for a “radically” naturalistic alternative to the familiar forms of orthodox or liberal naturalism. Goodman, Sellars and Hempel had previously challenged empiricist scruples against causal connections or nomological necessity by arguing that scientific concepts already had modal import. The radical naturalism I defend similarly challenges meta-philosophical naturalists’ conception of the Scientific Image as anormative, and instead shows how the normativity of scientific understanding in practice is a scientifically intelligible natural phenomenon. This account then provides a basis for naturalistic reflection on how other practices and normative concerns fit together with the best scientific understanding of human ways of life. (shrink)

Green design tools are emerging as a new response to the dilemmas that architects and designers face in preventing the toxic impacts of building construction. Environmental health advocates, scientists, and consulting firms are stepping in to provide designers with new tools—including science-based assessment methods, standards, databases, and software—intended to help structure and inform decision-making in sustainable design. We argue that green design tools play an important but largely uninvestigated role in giving designers new forms of influence while mediating how designers’ (...) values are translated into actual design choices. Tool makers embed their own values and politics into the construction of the tools, which function as “black boxes”—their internal operations are understood as less important than their outputs for informing sustainable design. Using the green building movement as a case study, we consider three tools for selecting environmentally benign materials: the GreenScreen for Safer Chemicals, Pharos, and the Health Product Declaration. Examining controversies about the scientific validity of green design tools, we suggest that they are rooted in value conflicts and tensions in the politics of chemical knowledge. Transparent engagement with values and politics among tool developers and users could strengthen the legitimacy and credibility of green design tools. (shrink)

The enduring replication crisis in many scientific disciplines casts doubt on the ability of science to estimate effect sizes accurately, and in a wider sense, to self-correct its findings and to produce reliable knowledge. We investigate the merits of a particular countermeasure—replacing null hypothesis significance testing with Bayesian inference—in the context of the meta-analytic aggregation of effect sizes. In particular, we elaborate on the advantages of this Bayesian reform proposal under conditions of publication bias and other methodological imperfections that are (...) typical of experimental research in the behavioral sciences. Moving to Bayesian statistics would not solve the replication crisis single-handedly. However, the move would eliminate important sources of effect size overestimation for the conditions we study. (shrink)

Advocates of the self-corrective thesis argue that scientific method will refute false theories and find closer approximations to the truth in the long run. I discuss a contemporary interpretation of this thesis in terms of frequentist statistics in the context of the behavioral sciences. First, I identify experimental replications and systematic aggregation of evidence (meta-analysis) as the self-corrective mechanism. Then, I present a computer simulation study of scientific communities that implement this mechanism to argue that frequentist statistics may converge upon (...) a correct estimate or not depending on the social structure of the community that uses it. Based on this study, I argue that methodological explanations of the “replicability crisis” in psychology are limited and propose an alternative explanation in terms of biases. Finally, I conclude suggesting that scientific self-correction should be understood as an interaction effect between inference methods and social structures. (shrink)

Much of the literature on values in science is limited in its perspective because it focuses on the role of values in individual scientists’ decision making, thereby ignoring the context of scientific collaboration. I examine the epistemic structure of scientific collaboration and argue that it gives rise to two arguments showing that moral and social values can legitimately play a role in scientists’ decision to accept something as scientific knowledge. In the case of scientific collaboration some moral and social values (...) are properly understood to be extrinsic epistemic values, that is, values that promote the attainment of scientific knowledge. (shrink)

I examine ramifications of the widespread view that scientific objectivity gives us a permission to trust scientific knowledge claims. According to a widely accepted account of trust and trustworthiness, trust in scientific knowledge claims involves both reliance on the claims and trust in scientists who present the claims, and trustworthiness depends on expertise, honesty, and social responsibility. Given this account, scientific objectivity turns out to be a hybrid concept with both an epistemic and a moral-political dimension. The epistemic dimension tells (...) us when scientific knowledge claims are reliable, and the moral-political dimension tells us when we can trust scientists to be socially responsible. While the former dimension has received a fair amount of attention, the latter is in need of analysis. I examine what it means for scientists to be socially responsible, that is, to follow “sound” moral and social values in different stages of scientific inquiry. Social responsibility is especially important when scientists function as experts in society. Members of the public and policymakers do not want to rely on scientific research shaped by moral and social values they have good reasons to reject. Moreover, social responsibility is important in social research in which moral and social values can legitimately play many roles. I discuss the strengths and weaknesses of different answers to the question of how social scientists can identify appropriate moral and social values to inform their research. I argue that procedural accounts of social responsibility, such as well-ordered science and deliberative polling, have limitations. (shrink)

The standard view on economics imperialism is that it should be resisted when it is epistemically or morally harmful. I argue that the moral dimension of economics imperialism is in need of further analysis. In my view, economics imperialism is wrong when imperialists violate the epistemic responsibility they have towards scientists working in the discipline that is the target for imperialist explorations. By epistemic responsibility, I refer to a moral duty to justify one’s knowledge claims to a particular audience so (...) that the justification appeals to at least some of the standards of argumentation recognized by that audience. (shrink)

I introduce a case study from organization studies to argue that social epistemologists’ recommendation to cultivate diversity and dissent in science is unlikely to be welcomed in the social sciences unless it is coupled with another epistemic ideal: the norm of epistemic responsibility. The norm of epistemic responsibility enables me to show that organization scholars’ concern with the fragmentation of their discipline is generated by false assumptions: the assumption that a diversity of theoretical approaches will lead to fragmentation and the (...) assumption that an imposed consensus on a theoretical approach is needed to maintain the unity of the discipline. (shrink)

The traditional distinction between basic and applied science has been much criticized in recent decades. The criticism is based on a combination of historical and systematic epistemic argument. The present paper is mostly concerned with the historical aspect. I argue that the critics impose an understanding at odds with the way the distinction was understood by its supporters in debates on science education and science policy in the nineteenth and twentieth centuries. And I show how a distinction that refers to (...) difference on several epistemic and social dimensions makes good sense of representative historical cases. If this argument is tenable it suggests more continuity in the epistemology and politics of science than has been claimed by a new paradigm of science studies and politics during recent decades. (shrink)

The European Union is strategically committed to the development of nanotechnology and its industrial exploitation. However, nanotechnology also has the potential to disrupt human health and the environment. The EU claims to be committed to the safe and responsible development of nanotechnology. In this sense, the EU has become the first governing body in the world to develop nanospecific regulations, largely due to legislative action taken by the European Parliament, which has compensated for the European Commission’s reluctance to develop special (...) regulations for nanomaterials. Nevertheless, divergences aside, political bodies in the EU assume that nanotechnology development is controllable and take for granted that both the massive industrial use of nanomaterials and a high level of environmental and health protection are compatible. However, experiences such as the European controversy over agri-food biotechnology, which somewhat delegitimized the regulatory authority of the EU over technological safety and acceptability, arguably show that controllability assumptions are contestable on the grounds of alternative socio-economic and cultural preferences and values. Recently developed inclusive governance models on safety and innovation, such as “Responsible Research and Innovation”, widely claim that a diversity of considerations and issues are integrated into R&D processes. Even so, the possibility of more radically alternative constitutions of socio-technical safety seems to be seriously limited by the current ideology of innovation and economic imperatives of the global, knowledge-based, capitalist economy. (shrink)

The Hoffman Report scandal demonstrates that ethics is not objective and ahistorical, contradicting the comforting progressive story about ethics many students receive. This modern-day ethical failure illustrates some of the weaknesses of the current ethics code: it is rule-based, emphasizes punishments for noncompliance, and assumes a rational actor who can make tricky ethical decisions using a cost–benefit analysis. This rational emphasis translates into pedagogy: the cure for unethical behavior is more education. Yet such an approach seems unlikely to foster ethical (...) behavior in the real world, either for students or for mature scientists. This article argues for an alternative ethical system and a different way of teaching ethical behavior. Virtue ethics emphasizes the development of ethical habits and traits through regular practice and reflection. We show how virtue ethics complements a feminist approach to science, in which scientists are encouraged to reflect on their own biases, rather than attempting to achieve an impossible objectivity. Our article concludes with pedagogical suggestions for teaching ethical behavior as a practical and intelligent skill. (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)

This paper looks at an appeal to the authority of biomedical research that has recently been used by empirical economists to motivate and justify their methods. I argue that those who make this appeal mistake the nature of biomedical research. Randomised trials, which are said to have revolutionised biomedical research, are a central methodology, but according to only one paradigm. There is another paradigm at work in biomedical research, the inferentialist paradigm, in which randomised trials play no special role. I (...) outline the inferentialist alternative in broad strokes, apply it to a recent controversy in econometrics and draw some general conclusions concerning econometric methodology. (shrink)

The main question of this article is given by its title: how inclusive is European philosophy of science? Phrased in this way, the question presupposes that, as a mature discipline, philosophy of science should provide an inclusive account of its subject area. I first provide an explanation of the notion of an inclusive philosophy of science. This notion of an inclusive philosophy of science is specified by discussing three general topics that seem to be missing from, or are quite marginal (...) in, restricted philosophy of science. These topics are the philosophy of historical inquiry, the role of technology in science, and the socio-political and moral dimensions of science. On this basis, I address the question whether European philosophy of science qualifies as more inclusive as compared with Anglo-American philosophy of science. (shrink)

This paper is meant to link the philosophical debate concerning the underdetermination of theories by evidence with a rather significant socio-political issue that has been taking place in Canada over the past few years: the so-called ‘death of evidence’ controversy. It places this debate within a broader philosophical framework by discussing the connection between evidence and theory; by bringing out the role of epistemic values in the so-called scientific method; and by examining the role of social values in science. While (...) it should be admitted that social values play an important role in science, the key question for anyone who advocates this view is: what and whose values? The way it is answered makes an important epistemic difference to how the relation between evidence and theory is appraised. I first review various arguments for the claim that evidence underdetermines theory and shows their presuppositions and limitations, using conceptual analysis and historical examples. After broaching the relation between evidence and method in science by highlighting the need to incorporate epistemic values into the scientific method, my discussion focuses on recent arguments for the role of social values in science. Finally, I address the implications of the approach outlined for the current ‘death of evidence’ debate in Canada. (shrink)

In recent years, philosophy of science has witnessed a significant increase in attention directed toward the field’s social relevance. This is demonstrated by the formation of societies with related agendas, the organization of research symposia, and an uptick in work on topics of immediate public interest. The collection of papers that follows results from one such event: a 3-day colloquium on the subject of socially engaged philosophy of science (SEPOS) held at the University of Cincinnati in October 2012. In this (...) introduction, we first survey the recent history of philosophy of science’s social involvement (or lack thereof) and contrast this with the much greater social involvement of the sciences themselves. Next, we argue that the field of philosophy of science bears a special responsibility to contribute to public welfare. We then introduce as a term of art “SEPOS” and articulate what we take to be distinctive about social engagement, with reference to the articles in this collection as exemplars. Finally, we survey the current state of social engagement in philosophy of science and suggest some practical steps for individuals and institutions to support this trajectory. (shrink)

In the past few years, social epistemologists have developed several formal models of the social organisation of science. While their robustness and representational adequacy has been analysed at length, the function of these models has begun to be discussed in more general terms only recently. In this article, I will interpret many of the current formal models of the scientific community as representing the latest development of what I will call the ‘Kuhnian project’. These models share with Kuhn a number (...) of questions about the relation between individuals and communities. At the same time, they also inherit some of Kuhn’s problematic characterisations of the scientific community. In particular, current models of the social organisation of science represent the scientific community as essentially value-free. This may put into question both their representational adequacy and their normative ambitions. In the end, it will be shown that the discussion on the formal models of the scientific community may contribute in fruitful ways to the ongoing debates on value judgements in science. (shrink)

Philosophy of science has the potential to enhance scientific practice, science policy, and science education; moreover, recent research indicates that many philosophers of science think we ought to increase the broader impacts of our work. Yet, there is little to no empirical data on how we are supposed to have an impact. To address this problem, our research team interviewed 35 philosophers of science regarding the impact of their work in science-related domains. We found that face-to-face engagement with scientists and (...) other stakeholders was one of the most—if not the most—effective pathways to impact. Yet, working with non-philosophers and disseminating research outside philosophical venues is not what philosophers are typically trained or incentivized to do. Thus, there is a troublesome tension between the activities that are likely to lead to broader uptake of one’s work and those that are traditionally encouraged and rewarded in philosophy. We suggest several ways that philosophers of science, either as individuals or as a community, can navigate these tensions. (shrink)

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such risk arises when scientific claims cause cognitive or behavioural changes in the audience that contribute to the self-fulfilment of these claims. I argue that the ethical and epistemic problems that such self-fulfilment effects may pose are much broader and more common than hitherto appreciated. Moreover, these problems are often due to a specific psychological phenomenon that has been neglected in the (...) research on science communication: many people tend to conform to ‘descriptive norms’, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication may frequently produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

In the philosophy of science, it is a common proposal that values are illegitimate in science and should be counteracted whenever they drive inquiry to the confirmation of predetermined conclusions. Drawing on recent cognitive scientific research on human reasoning and confirmation bias, I argue that this view should be rejected. Advocates of it have overlooked that values that drive inquiry to the confirmation of predetermined conclusions can contribute to the reliability of scientific inquiry at the group level even when they (...) negatively affect an individual’s cognition. This casts doubt on the proposal that such values should always be illegitimate in science. It also suggests that advocates of that proposal assume a narrow, individualistic account of science that threatens to undermine their own project of ensuring reliable belief formation in science. (shrink)

Responsible conduct of research training typically includes only a subset of the issues that ought to be included in science ethics and sometimes makes ethics appear to be a set of externally imposed rules rather than something intrinsic to scientific practice. A new approach to science ethics training based upon Pennock’s notion of the scientific virtues may help avoid such problems. This paper motivates and describes three implementations—theory-centered, exemplar-centered, and concept-centered—that we have developed in courses and workshops to introduce students (...) to this scientific virtue-based approach. (shrink)

We call attention to an underappreciated way in which non-epistemic values influence evidence evaluation in science. Our argument draws upon some well-known features of scientific modeling. We show that, when scientific models stand in for background knowledge in Bayesian and other probabilistic methods for evidence evaluation, conclusions can be influenced by the non-epistemic values that shaped the setting of priorities in model development. Moreover, it is often infeasible to correct for this influence. We further suggest that, while this value influence (...) is not particularly prone to the problem of wishful thinking, it could have problematic non-epistemic consequences in some cases. (shrink)

Philosophers continue to debate both the actual and the ideal roles of values in science. Recently, Eric Winsberg has offered a novel, model-based challenge to those who argue that the internal workings of science can and should be kept free from the influence of social values. He contends that model-based assignments of probability to hypotheses about future climate change are unavoidably influenced by social values. I raise two objections to Winsberg’s argument, neither of which can wholly undermine its conclusion but (...) each of which suggests that his argument exaggerates the influence of social values on estimates of uncertainty in climate prediction. I then show how a more traditional challenge to the value-free ideal seems tailor-made for the climate context. (shrink)

This paper is motivated by the need to respond to the spread of influential misinformation and manufactured ignorance, which places pressure on the work of experts in various sectors. To meet this need, the paper discusses the conditions required for expert testimony to evolve a reconceptualisation of negative capability as a new form of epistemic humility. In this regard, professional knowledge formation is not considered to be separate from the institutional and social processes and values that uphold its production. Drawing (...) attention to the structural and relational aspects of ignorance, as opposed to the individualistic and internal aspects, we rely on the sociology of knowledge, the social epistemologies and the feminist epistemologies that have played a fundamental role in the development of the investigation of ignorance. First, we analyse the criteria for epistemic humility based on prior theoretical discussions concerning negative knowledge as a form of reflective practice. Then, we seek to determine what kinds of strategies, virtues and skills experts need to have so as to ‘manage ignorance’ in socially complex situations. Finally, we suggest the reformulation of negative expertise as a phronetic skill for navigating through situations of ignorance and uncertainty in an epistemically and socially responsible manner. (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)

We historically and conceptually situate distributed cognition by drawing attention to important similarities in assumptions and methods with those of American ?functional psychology? as it emerged in contrast and complement to controlled laboratory study of the structural components and primitive ?elements? of consciousness. Functional psychology foregrounded the adaptive features of cognitive processes in environments, and adopted as a unit of analysis the overall situation of organism and environment. A methodological implication of this emphasis was, to the extent possible, the study (...) of cognitive and other processes in the natural (real world) contexts in which they occur. We therefore emphasize commonalities and differences between functional psychology and D-Cog. One purpose of the comparison is to consider the extent to which criticisms directed at functional psychology are relevant to D-Cog. We also examine the relation between functional psychology and philosophical pragmatism and conclude that D-Cog's conceptual framework would be strengthened through more explicit adoption of philosophical pragmatism, consistent with the eventual trajectory of functional psychology. (shrink)

Confronting any science studies or learning sciences researcher in the 21st century is the reality of interdisciplinary science. New hybrid fields1 collaboratively build new concepts, combine models from two or more disciplines and forge inter-reliant relationships among specialists with different skill sets to solve new problems. This paper emerges from our recognition that inescapable psychological factors, including identity dynamics, must be described and analyzed in order to better understand the social and cognitive practices specific to interdisciplinary science. In analysis of (...) the foundations and opportunities for an... (shrink)

Epidemiological models directly shape policy responses to public health crises. We argue that they also play a less obvious but important role in solving certain coordination problems and social dilemmas that arise during pandemics. This role is both ethically and epistemically valuable. However, it also gives rise to an underappreciated dilemma, as the features that make models good at solving coordination problems are often at odds with the features that make for a good scientific model. We examine and develop this (...) dilemma in the context of the COVID-19 pandemic, and suggest extensions to other domains. (shrink)

An anthropogenic global catastrophic risk is a human-induced risk that threatens sustained and wide-scale loss of life and damage to civilisation across the globe. In order to understand how new research on governance mechanisms for emerging technologies might assuage such risks, it is important to ask how perceptions, beliefs, and attitudes towards the governance of global catastrophic risk within the research community shape the conduct of potentially risky research. The aim of this study is to deepen our understanding of emerging (...) technology research culture as it relates to global catastrophic risks, and to shed new light on how new research governance mechanisms might be developed. We analyse in-depth interviews with leading AI and biotech researchers both from universities and the private sector. We develop new insights in terms of four salient themes. First, ‘engineering mindset’, which highlights the premium placed by many interviewees on pursuing interesting research about the physical world for its own sake. Second, ‘self-government’, which looks at how self-regulation of technological development currently occurs. Third, ‘pure incentives’, focussing on how career and other incentives shapes research. Fourth, ‘norms and persuasion’, which examines the role of moral considerations in guiding the research choices of scientists. We end by considering the implications of these findings for future research on governance of anthropogenic global catastrophic risk. (shrink)