I have argued that political values are beliefs informed, more or less well, by the evidence of experience and that, where relevant and well-supported by evidence, the inclusion of political values in scientific theorizing can increase the objectivity of research. The position I endorse has been called the “values-as-evidence” approach. In this essay I respond to three kinds of resistance to this approach, using examples of feminist political values. Solomon questions whether values are beliefs that can be tested, Alcoff argues (...) that even if our values are beliefs that can be tested, testing them might not be desirable because doing so assigns these important values a contingency that weakens their normative force, and Yap argues that the approach is too idealistic in its articulation of the role of evidence in our political deliberations. In response, I discuss the ways that values can be tested, I analyze the evidential strength of feminist values in science, and I argue that the evidence-based nature of these values is neither a weakness nor an idealization. Problems with political values affecting science properly concern the dogmatic ways that evaluative beliefs are sometimes held—a problem that arises with dogmatism toward descriptive beliefs as well. I conclude that scientists, as with the rest of us, ought to adopt a pragmatically-inclined appreciation of the fallible, inductive process by which we gather evidence in support of any of our beliefs, whether they are described as evaluative or descriptive. (shrink)

Under the influence of naturalistic approaches, contemporary philosophy of science tends to characterize scientific objectivity not by virtue of the individualistic following of rules or satisfying epistemic utilities, but as a property arising from the organisational features of groups. This paper presents a critical review of one such proposal, that of Helen Longino, probing some of its main features against the debate between Pasteur and Pouchet in mid-nineteenth-century France regarding the spontaneous generation of life. After considering some weaknesses and strengths, (...) it is argued that Longino’s social epistemology is only able to generate normativity by implicitly assuming a classic procedural notion of epistemic acceptability. The paper also aims to use this historical case to shed light on the complex, multidimensional nature of the dynamics of actual science, arguing both against purely epistemic and exclusively social approaches in a satisfactory meta-scientific explanation of controversies. (shrink)

I address options for providing scientific policy advice and explore the relation between scientific knowledge and political, economic and moral values. I argue that such nonepistemic values are essential for establishing the significance of questions and the relevance of evidence, while, on the other hand, such social choices are the prerogative of society. This tension can be resolved by recognizing social values and identifying them as separate premises or as commissions while withholding commitment to them, and by elaborating a plurality (...) of policy packages that envisage the implementation of different social goals. There are limits to upholding the value-free ideal in scientific research. But by following the mentioned strategy, science can give useful policy advice by leaving the value-free ideal largely intact. Such scientific restraint avoids the risk of appearing to illegitimately impose values on the public and could make the advice given more trustworthy. (shrink)

My intention is to cast light on the characteristics of epistemic or fundamental research (in contrast to application-oriented research). I contrast a Baconian notion of objectivity, expressing a correspondence of the views of scientists to the facts, with a pluralist notion, involving a critical debate between conflicting approaches. These conflicts include substantive hypotheses or theories but extend to values as well. I claim that a plurality of epistemic values serves to accomplish a non-Baconian form of objectivity that is apt to (...) preserve most of the intuitions tied to the objectivity of science. For instance, pluralism is the only way to cope with the challenge of preference bias. Furthermore, the plurality of epistemic values cannot be substantially reduced by exploring the empirical success of scientific theories distinguished in light of particular such values. However, in addition to pluralism at the level of theories and value-commitments alike, scientific research is also characterized by a joint striving for consensus which I trace back to a shared epistemic attitude. This attitude manifests itself, e.g., in the willingness of scientists to subject their claims to empirical scrutiny and to respect rational argument. This shared epistemic attitude is embodied in rules adopted by the scientific community concerning general principles of dealing with knowledge claims. My contention is that pluralism and consensus formation can be brought into harmony by placing them at different levels of consideration: at the level of scientific reasoning and at the level of social conventions regarding how to deal with claims put forward within the scientific community. (shrink)

The article explores epistemic and social conditions of the trustworthiness of scientific expertise. I claim that there are three kinds of conditions for the trustworthiness of scientific expertise. The first condition is epistemic and means that scientific knowledge enjoys high credibility. The second condition concerns the significance of scientific knowledge. It means that scientific generalizations are relevant for elucidating the particular cases that constitute the challenges for expert judgment. The third condition concerns the social processes involved in producing science-based recommendations. (...) In this context trust is created by social robustness, expert legitimacy, and social participation. (shrink)

The considerations set out in the paper are intended to suggest that in practical contexts predictive power does not play the outstanding roles sometimes accredited to it in an epistemic framework. Rather, predictive power is part of a network of other merits and achievements. Predictive power needs to be judged differently according to the specific conditions that apply. First, predictions need to be part of an explanatory framework if they are supposed to guide actions reliably. Second, in scientific expertise, the (...) demand for accurate predictions is replaced with the objective of specifying a robust corridor of estimates. Finally, it is highly uncertain to predict the success of research projects. The overall purpose of the paper is to enlarge the debate about predictions by addressing specifically the roles of predictions in application-oriented research. (shrink)

Historical Epistemology: On the Diversity and Change of Epistemic Values in Science. Historical epistemology involves the claim that the system of scientific knowledge is not determined by the observations but is also subject to epistemic requirements that may change in the historical process of doing research. As a result, the system of knowledge is path‐dependent in that its shape is contingent on epistemic choices made at certain historical points. I attempt to elaborate this approach by drawing attention to the double (...) role of epistemic values. First, such values create relations of significance and thereby contribute to directing research into certain avenues. Second, they are also important in the process of confirmation in that they entail that certain forms of agreement with the facts are superior and preferable to other such forms. Some epistemic orientations and reorientations can be reconstructed as arising from an interaction with nature, but others are based on commitments to the kind of knowledge we appreciate. The epistemic authority of science is created in large measure by rules of the scientific community that express how to deal with knowledge claims. (shrink)

The ‘death of evidence’ issue in Canada raises the spectre of politicized science, and thus the question of what role social values may have in science and how this meshes with objectivity and evidence. I first criticize philosophical accounts that have to separate different steps of research to restrict the influence of social and other non-epistemic values. A prominent account that social values may play a role even in the context of theory acceptance is the argument from inductive risk. It (...) maintains that the more severe the social consequences of erroneously accepting a theory would be, the more evidence is needed before the theory may be accepted. However, an implication of this position is that increasing evidence makes the impact of social values converge to zero; and I argue for a stronger role for social values. On this position, social values may determine a theory’s conditions of adequacy, which among other things can include co.. (shrink)

Abstract: This essay explores the relation between feminist epistemology and the problem of philosophical skepticism. Even though feminist epistemology has not typically focused on skepticism as a problem, I argue that a feminist contextualist epistemology may solve many of the difficulties facing recent contextualist responses to skepticism. Philosophical skepticism appears to succeed in casting doubt on the very possibility of knowledge by shifting our attention to abnormal contexts. I argue that this shift in context constitutes an attempt to exercise unearned (...) social and epistemic power and that it should be resisted on epistemic and pragmatic grounds. I conclude that skepticism is a problem that feminists can and should take up as they address the social aspects of traditional epistemological problems. (shrink)

The COVID-19 crisis has highlighted the considerable challenge of sourcing expertise and determining which experts to trust. Dissonant information fostered controversy in public discourse and encouraged an appeal to a wide range of social indicators of trustworthiness in order to decide whom to trust. We analyze public discourse on expertise by examining how social indicators inform the reputation of Dr. Didier Raoult, the French microbiologist who rose to international prominence as an early advocate for using hydroxychloroquine to treat COVID-19. To (...) comprehend how these indicators came to inform his reputation, we outline Dr. Raoult's rise to fame based on discourse about hydroxychloroquine. We then discuss why we trust in experts like scientist-practitioners. This is followed by an examination of how social indicators of trust like status, epistemic authority, influence and values have informed Dr. Raoult's reputation. We conclude with recommendations for how to improve the selection and evaluation social indicators of trust and reputations. Our aim here, instead of making a claim about the efficacy of hydroxychloroquine or Dr. Raoult's reputation per se, is to outline through this case study how social indicators of trust inform reputation and the challenge they present to evaluating expertise. (shrink)

Publics trust experts for personal and pro-social reasons. Scientists are among the experts publics trust most, and so, epistemic trust is routinely afforded to them. The call for epistemic trust to be more socially situated in order to account for the impact of science on society and public welfare is at the forefront of enhanced epistemic trust. I argue that the value-free ideal for science challenges establishing enhanced epistemic trust by preventing the inclusion of non-epistemic values throughout the evaluation of (...) evidence and communication of these values. By selectively silencing non-epistemic values, the ideal cannot take into account publics’ social and moral responses to inductive risk, which are instrumental for defining and determining public welfare. Furthermore, by emphasising epistemic values almost exclusively in science education and communication, the value-free ideal is presented to publics in such a way that it becomes a social indicator of trust. I show this through examination of the importance of values in decisions to trust, and conclude that values (and restrictions on them) can be used by lay publics to help decide which experts to trust. (shrink)

The anti-psychiatry movement of the 20th century has notably denounced the role of values and social norms in the shaping of psychiatric categories. Recent activist movements also recognize that psychiatry is value-laden, however, they do not fight for a value-free psychiatry. On the contrary, some activist movements of the 21st century advocate for self-advocacy in sciences of mental health in order to reach a more accurate understanding of psychiatric categories/mental distress. By aiming at such epistemic gain, they depart from the (...) anti-psychiatry movement. Through the analysis of the epistemic and political influence of two of these movements – Neurodiversity and the Mad Studies, we show how this new activism has taken a scientific turn compatible with current philosophical scientific frameworks, while still developing a critical approach on psychiatry. (shrink)

Is there good reason to worry about celebrity involvement in democratic politics? The rise of celebrity politicians such as Donald Trump and Vladimir Zelensky has led political theorists and commentators to worry that the role of expertise in democratic politics has been undermined. According to one recent critique, celebrities possess a significant degree of epistemic power that is unconnected to appropriate expertise. This presents a problem both for deliberative and epistemic theories of democratic legitimacy, which ignore this form of power, (...) and for real existing democracies attempting to meet the standards of legitimacy set out by these theories. But do these critiques apply to democratic elitism? In this paper, we argue that recognition of celebrity epistemic power in fact represents a valuable resource for supporting the legitimacy and practice of democratic elitism, though these benefits do come with certain risks to which elite theories are particularly vulnerable. (shrink)

Engages and extends the feminist philosopher Lorraine Code's groundbreaking work on epistemology and ethics.

Scientists often diverge widely when choosing between research programs. This can seem to be rooted in disagreements about which of several theories, competing to address shared questions or phenomena, is currently the most epistemically or explanatorily valuable—i.e. most successful. But many such cases are actually more directly rooted in differing judgments of pursuit-worthiness, concerning which theory will be best down the line, or which addresses the most significant data or questions. Using case studies from 16th-century astronomy and 20th-century geology and (...) biology, I argue that divergent theory choice is thus often driven by considerations of scientific process, even where direct epistemic or explanatory evaluation of its final products appears more relevant. Broadly following Kuhn’s analysis of theoretical virtues, I suggest that widely shared criteria for pursuit-worthiness function as imprecise, mutually-conflicting values. However, even Kuhn and others sensitive to pragmatic dimensions of theory ‘acceptance’, including the virtue of fruitfulness, still commonly understate the role of pursuit-worthiness—especially by exaggerating the impact of more present-oriented virtues, or failing to stress how ‘competing’ theories excel at addressing different questions or data. This framework clarifies the nature of the choice and competition involved in theory choice, and the role of alternative theoretical virtues. (shrink)

This is the most comprehensive book ever published on philosophical methodology. A team of thirty-eight of the world's leading philosophers present original essays on various aspects of how philosophy should be and is done. The first part is devoted to broad traditions and approaches to philosophical methodology. The entries in the second part address topics in philosophical methodology, such as intuitions, conceptual analysis, and transcendental arguments. The third part of the book is devoted to essays about the interconnections between philosophy (...) and neighbouring fields, including those of mathematics, psychology, literature and film, and neuroscience. (shrink)

"Analyzes the value of using case-based methodologies to address contemporary social justice issues in philosophy"--.

I argue that scientific and poetic modes of objectivity are perspectival duals: 'views' from and onto basic natural forces, respectively. I ground this analysis in a general account of objectivity, not in terms of either 'universal' or 'inter-subjective' validity, but as receptivity to basic features of reality. Contra traditionalists, bare truth, factual knowledge, and universally valid representation are not inherently valuable. But modern critics who focus primarily on the self-expressive aspect of science are also wrong to claim that our knowledge (...) is or should be ultimately mediated by ourselves. In objective science, we represent nature as a field of phenomena determined by and within explanatorily-basic physical structures that encode the causal impact of elemental physical forces. These causally-basic forces hence ground the possibility of objective scientific theory, even though (I argue) they are systematically excluded from its representational contents. I show how my notions of force and field emerge partly through my effort to naturalize concepts of 'God' and 'Laws' in 17th-century natural philosophy. In science, we use the structure of basic forces' impact to see corresponding objects. We do not see these forces themselves—and this relates to the 'transcendence' of 'God'. I supplement this historical analysis by critiquing standard accounts of objectivity, and by synthesizing elements from neo-Kantian epistemology and current 'structural' realism into a view that I call 'dynamic structuralism'. Finally, I argue that physics systematically relies on passive characterizations of phenomena like inertia and impressed force. Dynamic alternatives that are just as empirically adequate are possible, but they are non-scientific. Poetic objectivity involves a direct presentation of nature as an order of interacting forces. I elaborate first by developing a novel theory of the relation between beauty and sublimity, mediated by a basic category of 'sensory force' (e.g. a 'singing' tone in a beautiful melody). I then describe the interaction between sensory and affective dimensions of aesthetic experience, in relation to an original historical analysis of passion and 'disinterestedness' in Kant, Schiller and Nietzsche. I synthesize these lines of analysis into a critique of the role of 'expression' in art. I also resist 'spectator'-centric aesthetics, in this connection, by developing an account of artistic objectivity in dialogue with Ruskin's critique of the 'pathetic fallacy'. I contrast artistic objectivity with Romantic ideals of self-expression, while elaborating its positive relation to certain currents within Victorian and Modernist aesthetics, including Imagists' stress on 'exteriority'. My project creatively extends Nietzsche's view that philosophical and scientific theories are 'perspectival' expressions of theorists' drives. It is a virtue of Nietzsche's account that he takes the outlet of strong human drives in creative acts of theorizing to be just one among many higher modes of 'will to power' in nature—many of which are totally impersonal. But Nietzsche is still too focused on self-expression or willing one's own power. Objective science involves external forces' 'expression' in and through us, not just 'expressing' our own powers. And Nietzsche's vitalistic 'will to power' must be replaced by a basic ontology that better accommodates inorganic phenomena, like the 'lawful' order of celestial motions. Thus I aim to de-anthropomorphize and 'de-organicize' post-Kantian notions of willful striving and organic development, while preserving for force the primary ontological and evaluative status that theorists from Schiller and Goethe to Schelling and Schlegel to Emerson and Nietzsche attributed to will or to life. (shrink)

As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments from feminist philosophy of (...) science to machine learning programs to make the case that the resources required to respond to these inductive challenges render critical aspects of their design constitutively value-laden. I demonstrate these points specifically in the case of recidivism algorithms, arguing that contemporary debates concerning fairness in criminal justice risk-assessment programs are best understood as iterations of traditional arguments from inductive risk and demarcation, and thereby establish the value-laden nature of automated decision-making programs. Finally, in light of these points, I address opportunities for relocating the value-free ideal in machine learning and the limitations that accompany them. (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)

According to ordinary language philosophy (OLP), philosophical problems can be solved by investigating ordinary language, often because the problems stem from its misuse. According to ideal language philosophy (ILP), on the other hand, philosophical problems exist because ordinary language is flawed and has to be improved or replaced by constructed languages that do not exhibit these flaws. OLP and ILP together make up linguistic philosophy, the view that philosophical problems are problems of language. Linguistic philosophy is opposed to what may (...) be called, for lack of a better word, ‘traditional philosophy’ (TP), the view that philosophical problems can be solved by discovering non-linguistic facts. In the following, OLP, ILP, and TP are taken to be methodologies, that is, frameworks in which to interpret and evaluate different philosophical methods (i.e., argumentative strategies). The two linguistic methodologies are discussed separately with TP as a foil, and then used to interpret the status of different philosophical methods. While each of the methods discussed here finds a plausible interpretation in each methodology, there are other arguments for and against linguistic philosophy in general, and for and against ILP and OLP in particular. As none of these arguments is decisive, I conclude with a superficial moral about peaceful co-existence. (shrink)

Theories of scientific rationality typically pertain to belief. In this paper, the author argues that we should expand our focus to include motivations as well as belief. An economic model is used to evaluate whether science is best served by scientists motivated only by truth, only by credit, or by both truth and credit. In many, but not all, situations, scientists motivated by both truth and credit should be judged as the most rational scientists.

People disagree about the causes of social inequality and how to most effectively intervene in them. These may seem like empirical questions for social scientists, not philosophers. However, causal explanation itself depends on broadly normative commitments. From this it follows that (moral) philosophers have an important role to play in determining those causal explanations. I examine the case of causal explanations of poverty to demonstrate these claims. In short, philosophers who work to reshape our moral expectations also work, on the (...) back end, to restructure acceptable causal explanations—and hence solutions—for social inequality. Empirical and normative inquiry, then, are a two-way street. (shrink)

Selectionist evolutionary theory has often been faulted for not making novel predictions that are surprising, risky, and correct. I argue that it in fact exhibits the theoretical virtue of predictive capacity in addition to two other virtues: explanatory unification and model fitting. Two case studies show the predictive capacity of selectionist evolutionary theory: parallel evolutionary change in E. coli, and the origin of eukaryotic cells through endosymbiosis.

The dangers of character reification for cladistic inference are explored. The identification and analysis of characters always involves theory-laden abstraction—there is no theory-free “view from nowhere.” Given theory-ladenness, and given a real world with actual objects and processes, how can we separate robustly real biological characters from uncritically reified characters? One way to avoid reification is through the employment of objectivity criteria that give us good methods for identifying robust primary homology statements. I identify six such criteria and explore each (...) with examples. Ultimately, it is important to minimize character reification, because poor character analysis leads to dismal cladograms, even when proper phylogenetic analysis is employed. Given the deep and systemic problems associated with character reification, it is ironic that philosophers have focused almost entirely on phylogenetic analysis and neglected character analysis. (shrink)

A general criterion for distinguishing between epistemic and non-epistemic values is that the former promotes the attainment of truth whereas the latter does not. Daniel Steel is a proponent of this criterion, although it was initially proposed by McMullin. There are at least two consequences of this criterion; it always prioritizes epistemic values over non-epistemic values in scientific research, and it overlooks the diverse aims of science, especially the aims of regulatory or policy-oriented science. This criterion assumes the lexical priority (...) of truth or lexical priority of evidence. This paper attempts to show a few inadequacies of this assumption. The paper also demonstrates why epistemic priority over non-epistemic values is a problematic stance and how constraining the role of non-epistemic values as ‘tiebreakers’ may undermine the diverse aims of science. (shrink)

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

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)

In recent years, autopoietic enactivism has been used to address persistent conceptual problems in psychiatry, such as the problem of demarcating disorder, that other models thus far have failed to overcome. There appear to be three main enactive accounts of psychopathology with subtle, although not incompatible, differences: Maiesecharacterizes disorder as distinct disruptions in autonomy and agency; Nielsen characterizes disorder as behaviors that relevantly conflict with the functional norms of an individual; De Haan emphasizes patterns of disordered sense-making, that are transformed (...) through the existential dimension. Given that these accounts are intended to provide not only an ontologically richer account of psychopathology but also reduce the stigma experienced by individuals with mental disorders by accounting for lived experience, a critical analysis of these approaches is needed. I will provide a problematization of enactive accounts of mental disorder, showing that this particular framework does not, as it stands, necessarily reduce the harm and suffering experienced by individuals with mental disorder because of its ontological openness; enactivism leaves much to be interpreted and applied by the clinician (or patient) such that practical and ethical problems in its use arise. (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)

: As a response to the critics of feminist science studies I argue that it is possible to formulate empirical hypotheses about gender ideology in the practice of the physical sciences without (1) reinforcing stereotypes about women and mathematical sciences or (2) assuming at the outset that the area of physics under investigation is methodologically suspect. I will then critically evaluate two case studies of gender ideology in the practice of the physical sciences. The case studies fail to show that (...) gender ideologies have influenced the practice of the physical sciences in a profound way--not because it is impossible to conceive how gender ideologies could influence the practice of the physical sciences even in a profound way--but because they do not provide the right kind of evidence. This, however, leaves open the possibility that future studies might provide such evidence. (shrink)

In this article, I address the question of whether science can and should be seen as a common good. For this purpose, the first section focuses on the notion of knowledge and examines its main characteristics. I discuss and assess the core view of analytic epistemology, that knowledge is, basically, justified true belief. On the basis of this analysis, I then develop an alternative, multi-dimensional theory of the nature of knowledge. Section 2 reviews and evaluates several answers to the question (...) of what to understand by the notion of a common good. It discusses both economic and socio-political interpretations of this notion. In Section 3, I develop an alternative account of the common good of scientific knowledge. This knowledge constitutes a common good if it is both non-exhaustible and in the public interest. The two notions are equally important, but in this article, the focus is on the former. For reasons of space, a detailed discussion of the latter is impossible; it will be provided in a forthcoming book. My answer to the question posed in the title of this article builds on the critical discussion of extant views in Sections 1 and 2: some aspects of these views are included in this alternative account, while others are shown to be unhelpful or untenable. The final section discusses some practical implications of this account for the politics of science. The main conclusion is that scientific research should not be privatized through patenting its products. (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 note introduces a framework incorporating multiple sources of evidence into the response to COVID-19 to overcome the neglect of social and psychological causes of illness. By using the example of psychological research on loneliness and its effects on physical and mental health with particular focus on aging and disability, I seek to open further inquiry into how relevant psychological and social aspects of health can be addressed at policy level.

The purpose of this paper is to uncover some of the limitations that critical contextual empiricism, and in particular Longino's contextualism, faces when trying to provide a normative account of scientific knowledge that is relevant to current scientific research. After presenting the four norms of effective criticism, I show how the norms have limited scope when dealing with cases of current scientific practices. I then present some historical evidence for the claim that the organization of science has changed in recent (...) decades, and I argue that the uncovered limitations emerge from this larger phenomenon. Finally, I conclude by suggesting two ways to overcome the previously uncovered limitations. (shrink)

Arguments discrediting the value-free ideal of science have left us with the question of how to distinguish desirable values from biases that compromise the reliability of research. In this paper, I argue for a characterization of cognitive biases as deviations of thought processes that systematically lead scientists to the wrong conclusions. In particular, cognitive biases could help us understand a crucial issue in science today: how systematic error is introduced in research outcomes, even when research is evaluated as of good (...) quality. To conclude, I suggest that some debiasing mechanisms have great potential for countering implicit methodological biases in science. (shrink)

El objetivo principal de este artículo es analizar los estudios que respaldan la aprobación y el uso del BiDil, el primer medicamento aprobado para uso exclusivo en población afroamericana en EE. UU., así como la controversia que surgió alrededor de este. En particular, mostraré que la controversia sobre el BiDil no debe entenderse como una controversia puramente epistémica, sino como una controversia compleja en la que convergen aspectos tanto epistémicos como ético-sociales y comerciales. Entender cómo están interrelacionados estos aspectos y (...) qué conocimiento podemos obtener dada la complejidad de estas interacciones resulta crucial para comprender la controversia sobre el BiDil, así como otras controversias científicas actuales. (shrink)

Intersectionality theory explores the special sorts of disadvantage that arise as the result of occupying multiple disadvantaged demographic categories. One significant methodological problem for the quantitative study of intersectionality is the difficulty of acquiring data sets large enough to produce significant results when one is looking for intersectional effects. For this reason, we argue, simulation methods may be particularly useful to this branch of theorizing because they can generate precise predictions and causal dependencies in a relatively cheap way, and can (...) thus guide future empirical work. We illustrate this point through models which show that intersectional oppression can arise under conditions where social groups are disadvantaged in the emergence of bargaining norms. As we show, intersectional disadvantage can arise even when actors from all social categories are completely identical in terms of preferences and abilities. The conditions necessary to derive such disadvantage are relatively minimal. And when actors behave in ways that reflect stronger intersectional identities, the potential for disadvantage increases. (shrink)