My dissertation combines philosophy of science and political philosophy. Drawing directly on the work of Alasdair MacIntyre and inspired by John Dewey, I develop two rival conceptions of scientific practice. I show that these rivals are closely linked to the two basic sides in the science and values debate -- the debate over the extent to which ethical and political values may legitimately influence scientific inquiry. Finally, I start to develop an account of justice that is sensitive to these legitimate (...) and illegitimate influences. (shrink)

Helen Longino's account of objectivity has been highly regarded by both feminist and mainstream philosophers of science. However, I have encountered three feminist philosophers who have all offered one especially compelling feminist critique of Longino's view: far from vindicating or privileging the work of feminist scientists, Longino's account actually requires the active cultivation of anti-feminist and misogynist scientists to balance out the possibility of feminist bias. I call this objection the Nazi problem, for the particular version that claims that her (...) view requires even the active cultivation of Nazi scientists in objective inquiry. In this paper I consider one response to the Nazi problem, which I call the good faith argument. I show that the good faith argument itself is just as objectionable, on feminist grounds, as the Nazi problem it is meant to address. (shrink)

Over the past twenty-five years, numerous articles in Hypatia have clarified, revised, and defended increasingly more nuanced views of both feminist empiricism and standpoint feminism. Feminist empiricists have argued that scientific knowledge is contextual and socially situated (Longino 1990; Nelson 1990; Anderson 1995), and standpoint feminists have begun to endorse virtues of theory choice that have been traditionally empiricist (Wylie 2003). In fact, it is unclear whether substantive differences remain. I demonstrate that current versions of feminist empiricism and standpoint feminism (...) now have much in common but that key differences remain. Specifically, they make competing claims about what is required for increasing scientific objectivity. They disagree about 1) the kind of diversity within scientific communities that is epistemically beneficial and 2) the role that ethical and political values can play. In these two respects, feminist empiricists have much to gain from the resources provided by standpoint theory. As a result, the views would be best merged into “feminist standpoint empiricism.”. (shrink)

Helen Longino argues that the way to ensure scientific knowledge is objective is to have a diversity of scientific investigators. This is the best example of recent feminist arguments which hold that the real value of diversity is epistemic, and not political, but it only partly succeeds. In the end, Longino's objectivity amounts to intersubjective agreement about contextually based standards, and while her account gives us a good reason for wanting diversity in our scientific communities, this reason turns out to (...) be political. (shrink)

**No longer the current version available on SEP; see revised version by Sharon Crasnow** -/- Feminists have a number of distinct interests in, and perspectives on, science. The tools of science have been a crucial resource for understanding the nature, impact, and prospects for changing gender-based forms of oppression; in this spirit, feminists actively draw on, and contribute to, the research programs of a wide range of sciences. At the same time, feminists have identified the sciences as a source as (...) well as a locus of gender inequalities: the institutions of science have a long tradition of excluding women as practitioners; feminist critics of science find that women and gender (or, more broadly, issues of concern to women and sex/gender minorities) are routinely marginalized as subjects of scientific inquiry, or are treated in ways that reproduce gender-normative stereotypes; and, closing the circle, scientific authority has frequently served to rationalize the kinds of social roles and institutions that feminists call into question. -/- Feminist perspectives on science therefore reflect a broad spectrum of epistemic attitudes toward and appraisals of science. Some urge the reform of gender inequities in the institutions of science and call for attention to neglected questions with the aim of improving the sciences in their own terms; they do not challenge the standards and practices of the sciences they engage. Others pursue jointly critical and constructive programs of research that, to varying degrees, aim at transforming the methodologies, substantive content, framework assumptions, and epistemic ideals that animate the sciences. The content of these perspectives, and the degree to which they generate transformative critique, depends not only on the types of philosophical and political commitments that inform them but also on the nature of the sciences and subject domains on which they bear. Feminist perspectives have had greatest impact on sciences that deal with inherently gendered subjects—the social and human sciences—and, secondarily, on sciences that study subjects characterized in gendered terms, metaphorically or by analogy (projectively gendered subjects), chiefly the biological and life sciences. Feminist perspectives are relevant to sciences that deal with non-gendered subject matters, but perspectives vary substantially in content and in critical import depending on the sciences and the particular research programs they engage. (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)

In addition to purely practical values, cognitive values also figure into scientific deliberations. One way of introducing cognitive values is to consider the cognitive value that accrues to the act of accepting a hypothesis. Although such values may have a role to play, such a role does not exhaust the significance of cognitive values in scientific decision-making. This paper makes a plea for consideration of epistemic value —that is, value attaching to a state of belief—and defends the notion of cognitive (...) epistemic value against some criticisms that have been raised. A stability requirement for epistemic value functions is argued for on the basis of considerations of diachronic coherence. This stability requirement is sufficient to obtain the Value of Learning Theorem, which says that the expected utility of cost-free learning cannot be negative. This holds also for cognitive epistemic values, provided that the stability requirement is met. (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)

The realism/antirealism controversy has gone on for centuries, and gives every indication that it will continue to go on for centuries. Dismayed, I take a closer look at it. I find that the question it poses--very roughly, whether scientific knowledge is true (approximately true, put forward as true, etc.) or only useful (empirically adequate, a convenient method of representation, etc.)--actually suppresses socially critical thought and discussion about science (e.g., concerning whether scientific knowledge is sexist or racist or socially harmful in (...) other ways, or whether scientific knowledge is useful for achieving the goals we have or the goals we ought to have). I find, as well, that two of the most important responses to the realism/antirealism controversy--that which construes it as concerned with science's aims and that which construes it as concerned with science's results--fail to make sufficient empirical or normative contact with science. As a consequence, they provide representations of science that either do not help scientists (or nonscientists) make informed decisions about science, or actually hinder these individuals from doing so. I conclude that we should either stop engaging in the realism/antirealism controversy entirely, or else engage in it in a more socially responsible way--by gathering the right kinds of empirical and normative data, and framing more helpful versions of the questions we want to ask. I end by responding to the strong objections sure to be voiced by my colleagues in philosophy of science. (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)

From organic synthesis to quantum chemical calculation, chemists interact with chemical substances in a wide variety of ways. But what even is a chemical substance? My aim is to propose a notion of chemical substance that is consistent with the way in which chemical substances are individuated in chemistry, addressing gaps in previous conceptions of chemical substance. Water is employed as a case study to develop the account, not only because it is a familiar example of a chemical substance, but (...) also because its structural peculiarities make it an ideal test case for drawing out potential issues and limitations. Examining four distinct views of chemical substance—the microstructural, thermodynamic, purification, and a functional/relational account—I conclude that each has considerable drawbacks when used as a standalone concept. However, these accounts are not rendered obsolete, but are combined into a semi-pluralist conceptual patchwork. My interactive account of chemical substance is consistent with existing substance descriptions and chemical practice. (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)

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)

We argue that machine learning algorithms can inflict microaggressions on members of marginalized groups and that recognizing these harms as instances of microaggressions is key to effectively addressing the problem. The concept of microaggression is also illuminated by being studied in algorithmic contexts. We contribute to the microaggression literature by expanding the category of environmental microaggressions and highlighting the unique issues of moral responsibility that arise when we focus on this category. We theorize two kinds of algorithmic microaggression, stereotyping and (...) erasure microaggressions, and argue that corporations are responsible for the microaggressions their algorithms create. As a case study, we look at the problems faced by Google’s autocomplete prediction and at the insufficiency of their solutions. The case study of autocomplete demonstrates our core claim that microaggressions constitute a distinct form of algorithmic bias and that identifying them as such allows us to avoid seeming solutions that recreate the same kinds of harms. Google has a responsibility to make information freely available, without exposing users to degradation. To fulfill its duties to marginalized groups, Google must abandon the fiction of neutral prediction and instead embrace the liberatory power of suggestion. (shrink)

To clarify the proper role of values in science, focusing on controversial expert responses to Covid-19, this article examines the status of (in)convenient hypotheses. Polarizing cases like health experts downplaying mask efficacy to save resources for healthcare workers, or scientists dismissing “accidental lab leak” hypotheses in view of potential xenophobia, plausibly involve modifying evidential standards for (in)convenient claims. Societies could accept that scientists handle (in)convenient claims just like nonscientists, and give experts less political power. Or societies could hold scientists to (...) a higher bar, by expecting them not to modify evidential standards to avoid costs only incidentally tied to error. (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)

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)

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)

Social inequality may obstruct the generation of knowledge, as the rich and powerful may bring about social acceptance of skewed views that suit their interests. Epistemic equality in the context of justification is a means of preventing such obstruction. Drawing on social epistemology and theories of equality and distributive justice, we provide an account of epistemic equality. We regard participation in, and influence over a knowledge-generating discourse in an epistemic community as a limited good that needs to be justly distributed (...) among putative members of the community. We argue that rather than trying to operationally formulate an exact criterion for distributing this good, epistemic equality may be realized by insisting on active participation of members of three groups in addition to credited experts: relevant disempowered groups, relevant uncredited experts, and relevant stakeholders. Meeting these conditions fulfills the political, moral, and epistemic aims of epistemic equality. (shrink)

Criticism is a staple of the scientific enterprise and of the social epistemology of science. Philosophical discussions of criticism have traditionally focused on its roles in relation to objectivity, confirmation, and theory choice. However, attention to criticism and to criticizability should also inform our thinking about scientific pursuits: the allocation of resources with the aim of developing scientific tools and ideas. In this paper, we offer an account of scientific pursuitworthiness which takes criticizability as its starting point. We call this (...) the apokritic model of pursuit. Its core ideas are that pursuits are practices governed by norms for asking and answering questions, and that criticism arises from the breach of these norms. We illustrate and advertise our approach using examples from institutional grant review, neuroscience, and sociology. We show that the apokritic model can unify several indices of criticizability, that it can account for the importance of criticizing pursuits in scientific practice, and that it can offer ameliorative advice to erstwhile pursuers. (shrink)

Philosophical inquiry strives to be the unencumbered exploration of ideas. That is, unlike scientific research which is subject to ethical oversight, it is commonly thought that it would either be inappropriate, or that it would undermine what philosophy fundamentally is, if philosophical research were subject to similar ethical oversight. Against this, I argue that philosophy is in need of a reckoning. Philosophical inquiry is a morally hazardous practice with its own risks. There are risks present in the methods we employ, (...) risks inherent in the content of the views under consideration, and risks to the subjects of our inquiry. Likely, there are more risks still. However, by starting with the identification of these three risks we can demonstrate not only why an ethics of practice is needed but also which avenues are the most promising for developing an ethics for philosophical practice. Although we might be in the business of asking questions, we do not absolve ourselves of responsibility for the risks that inquiry incurs. (shrink)

This dissertation is an investigation into how scientific values may influence the kinds of theories which are investigated, and in turn which theories become ‘mainstream’. I have focussed on psychedelic therapy as a family of theories, and I identified three main reasons as to why psychedelic therapy is somewhat incompatible with the current psychiatric paradigm: (1) the inability to conduct double-blind trials, (2) The inability to isolate one explanatory variable, and (3) The mystical and spiritual dimensions of the mechanisms of (...) action of psychedelic drugs. Because double-blind randomised controlled trials, isolating one explanatory variable, and neurobiological- style explanations of mechanisms of action are seen as an integral part of good psychiatric research, this means that psychedelic therapy is inherently disadvantaged as a research avenue in the current paradigm. These three things also arguably embody scientific values proposed by Kuhn (1977), such as accuracy, simplicity, and consistency. Helen Longino (1995) argues that Kuhn’s values do not simply increase the likelihood of a theory being true, but in some instances serve to perpetuate discriminatory ideologies. She proposes her own list of values as a route to a more equitable science, and by extension, a more equitable society. Interestingly, psychedelic therapy as a theory embodies many, if not all of the values proposed by Longino. This led me to my conclusion that if the psychiatric paradigm were more feminist according to Longino’s criteria, then psychedelic therapy would be considered a “better” theory. It would therefore be easier to conduct research in this area, and psychedelic therapy would have a better chance at becoming a mainstream treatment. (shrink)

This dissertation explores the influence of time constraints on different research practices. The first two parts present case studies, which serve as a basis for discussing the epistemological and ethical implications of temporal limitations in scientific research. Part I is a case study on gravitational wave research, conducted by the LIGO Scientific Collaboration. This exemplifies fundamental research – without immediate societal applications, open-ended in terms of timeline and in terms of research goals. It is based, in part, on qualitative interviews (...) conducted with gravitational wave physicists. I show that considerations about time and speed play a role in every stage of research: goal setting, method design, and the evaluation and communication of results. Part II provides a case study on translational medicine, an approach explicitly dedicated to accelerating research in order to develop and implement new therapies. This epitomizes applied research with high social stakes, motivated by non-epistemic goals. Here, epistemic trade-offs between speed and reliability intersect with ethical trade-offs between different types of harms. In Part III, the insights from both of these case studies are used as the basis for a more general discussion concerning the pragmatic aspects of epistemic practices, especially in relation to current debates centered on the role of values in science. A particular focus is on the value of speed and the ability to generate reliable results, either via choice of methods, or via decisions about which goals to set, as well as decisions about when to stop further testing. The primary thesis of the dissertation is that pragmatic considerations stemming from limitations of resources are a necessary feature of the pursuit of epistemic aims, and that the epistemic is thus inherently pragmatic. (shrink)

Discovering laws of nature was a way to worship a law-giving God, during the Scientific Revolution. So why should we consider it worthwhile now, in our own more secularized science? For historical perspective, I examine two competing early modern theological traditions that related laws of nature to different divine attributes, and their secular legacy in views ranging from Kant and Nietzsche to Humean and ‘governing’ accounts in recent analytic metaphysics. Tracing these branching offshoots of ethically charged God-concepts sheds light on (...) how our ethical ideals and ideas of natural order can still be valuably integrated. Early modern intellectualists valued the law-governed order of nature as a sign of divine Reason. In turn, Reason traditionally ascribed to God has now been partly reclaimed for humans, reframing the value of natural order anthropocentrically, in terms of the value of our own intelligence. Alternatively, Reason may be reclaimed for nature itself, as in an ‘objective’ idealism or metaphysical rationalism. However, beyond divine Reason, an influential voluntarist tradition in theology stressed a connection between laws of nature and God’s Power or free Will. Tracking how divine Power has been reinvested in human beings provides a broader context for instrumentalism and related lineages of empiricism. But secularization can also transfer Power from God to the impersonal natural world. In this light, current scientific interest in lawlike order may also reflect the inherent value of brute necessity or inhuman causal power in nature: this is a deeper way to reject anthropocentrism and to show our respect for the environment. (shrink)

Feminist critics of evolutionary psychology are often accused of committing the naturalistic fallacy, that is, of inferring certain normative conclusions from evolutionary psychology’s purely descriptive accounts. This article refutes the accusation of the naturalistic fallacy, by showing that evolutionary psychology’s accounts of human behavior are not purely descriptive, but rather grounded on biased value judgments. A paradigmatic example is Randy Thornhill and Craig Palmer’s well-known book A Natural History of Rape. I argue that at least three biased judgments are at (...) work in Thornhill and Palmer’s evolutionary psychology account of rape: (1) adaptationist approaches to evolution, (2) willful ignorance of cultural and social context, and (3) binary understanding of gender and sex. In that Thornhill and Palmer’s account cannot hold without the three biased value judgments, it is not a purely factual description of rape. Therefore, feminist concerns over its normative implications do not commit the naturalistic fallacy, as it is not the case that they infer a normative conclusion from a pure description. (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)

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)

Environmental health research produces scientific knowledge about environmental hazards crucial for public health and environmental justice movements that seek to prevent or reduce exposure to these hazards. The environment in environmental health research is conceptualized as the range of possible social, biological, chemical, and/or physical hazards or risks to human health, some of which merit study due to factors such as their probability and severity, the feasibility of their remediation, and injustice in their distribution. This paper explores the ethics of (...) identifying the relevant environment for environmental health research, as judgments involved in defining an environmental hazard or risk, judgments of that hazard or risk's probability, severity, and/ or injustice, as well as the feasibility of its remediation, all ought to appeal to non-epistemic as well as epistemic values. I illustrate by discussing the case of environmental lead, a housing-related hazard that remains unjustly distributed by race and class and is particularly dangerous to children. Examining a controversy in environmental health research ethics where researchers tested multiple levels of lead abatement in lead-contaminated households, I argue that the broader perspective on the ethics of environmental health research provided in the first part of this paper may have helped prevent this controversy. (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)

Philosophical Perspectives, Volume 35, Issue 1, Page 170-188, December 2021.

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)

In this paper I defend the claim that Paul Feyerabend held a robust metaphilosophical position for most of his philosophical career. This position I call Decision-Based Epistemology and reconstruct it in terms of three key components: a form of epistemic voluntarism concerning the justification of philosophical positions and a behaviorist account of philosophical beliefs, which allows him to cast normative arguments concerning philosophical beliefs in scientific methodology, such as realism, in terms of means-ends relations. I then introduce non-naturalist and naturalist (...) variants of his conception of normativity, which I trace back to his mentors Viktor Kraft and Karl Popper, respectively. This distinction, introduced on the metaphilosophical level, can can be put to use to explain key changes in Feyerabend’s philosophical proposals, such as the viability of his methodological argument for realism. I conclude that this Decision-Based Epistemology should be further explored by historically embedding Feyerabend’s metaphilosophy in a voluntarist tradition of scientific philosophy. (shrink)

A coherent and helpful public policy based on science is difficult to achieve for at least three reasons. First, there are purely practical problems—for example, that scientific experts often disagree on policy-relevant questions and their debates often continue well beyond policy appropriate timelines. Second, there are epistemic problems—for example, that science is hardly the neutral supplier of factual information that traditionally has been supposed. And third, there are social problems: given the commercialization of today’s science and its enduring limitations, much (...) of scientific research today fails to meet the moral and political standards one would expect it to meet in order to inform public policy. In this paper, we examine such problems in the context of breast cancer screening policy and suggest the role philosophy of science should play in dealing with the situation. (shrink)

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)

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)

In this paper, I argue that morality might bear on belief in at least two conceptually distinct ways. The first is that morality might bear on belief by bearing on questions of justification. The claim that it does is the doctrine of moral encroachment. The second, is that morality might bear on belief given the central role belief plays in mediating and thereby constituting our relationships with one another. The claim that it does is the doctrine of doxastic wronging. Though (...) conceptually distinct, the two doctrines overlap in important ways. This paper provides clarification on the relationship between the two, providing reasons throughout that we should accept both. (shrink)

It is a common view among philosophers of science that theoretical virtues (also known as epistemic or cognitive values), such as simplicity and consistency, play an important role in scientific practice. In this article, I set out to study the role that theoretical virtues play in scientific practice empirically. I apply the methods of data science, such as text mining and corpus analysis, to study large corpora of scientific texts in order to uncover patterns of usage. These patterns of usage, (...) in turn, might shed some light on the role that theoretical virtues play in scientific practice. Overall, the results of this empirical study suggest that scientists invoke theoretical virtues explicitly, albeit rather infrequently, when they talk about models (less than 30%), theories (less than 20%), and hypotheses (less than 15%) in their published works. To the extent that they are mentioned in scientific publications, the results of this study suggest that accuracy, consistency, and simplicity are the theoretical virtues that scientists invoke more frequently than the other theoretical virtues tested in this study. Interestingly, however, depending on whether they talk about hypotheses, theories, or models, scientists may invoke one of those theoretical virtues more than the others. (shrink)

I present a novel, collaborative, methodology for linguistics: what I call the ‘explanatory economy’. According to this picture, multiple models/theories are evaluated based on the extent to which they complement one another with respect to data coverage. I show how this model can resolve a long-standing worry about the methodology of generative linguistics: that by creating too much distance between data and theory, the empirical credentials of this research program are tarnished. I provide justifications of such methodologically central distinctions as (...) the competence/performance and core/periphery distinction, and then show how we can understand the push for simplicity in the history of generative grammar in this light. (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)

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)

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.

In their attempt to defend philosophy from accusations of uselessness made by prominent scientists, such as Stephen Hawking, some philosophers respond with the charge of ‘scientism.’ This charge makes endorsing a scientistic stance, a mistake by definition. For this reason, it begs the question against these critics of philosophy, or anyone who is inclined to endorse a scientistic stance, and turns the scientism debate into a verbal dispute. In this paper, I propose a different definition of scientism, and thus a (...) new way of looking at the scientism debate. Those philosophers who seek to defend philosophy against accusations of uselessness would do philosophy a much better service, I submit, if they were to engage with the definition of scientism put forth in this paper, rather than simply make it analytic that scientism is a mistake. (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)

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)

Philosophy of science is showing an increasing interest in the social aspects and the social organisation of science—the ways social values and social interactions and structures play a role in the creation of knowledge and the ways this role should be taken into account in the organisation of science and science policy. My thesis explores a number of issues related to this theme. I argue that a prominent approach to the social organisation of science—Philip Kitcher’s well-ordered science—runs into a number (...) of problems. They undermine its philosophical plausibility and practical usefulness. I agree with Kitcher that arguments about the social organisation of science should recognise profound societal consequences of science. Kitcher argues that the appropriate organisation of science should therefore take into account laypersons’ values and needs when making decisions concerning research planning, evaluation and application. My criticisms show that this is not enough. Drawing on Helen Longino ideas, I argue that laypersons’ perspectives and knowledge may also be relevant when doing research. In order to show how more inclusive research practices may be possible, I discuss connections between philosophy of science and some developments in science policy, which has also recently shown considerable interest in democratic participation. I demonstrate how public participation experiments in science policy may sometimes be close enough to what the philosopher would recommend. Their analysis can thus be helpful for understanding how societal developments may provide opportunities for the involvement of laypersons in science and what factors may endanger its success. I conclude that a way to pursue a more socially relevant philosophy of science is to focus on the points of contact and possibilities of cooperation between philosophical proposals and these public participation initiatives. (shrink)

Gender research archaeology has made significant contributions, but its dissociation from the resources of feminist scholarship and feminist activism is a significantly limiting factor in its development. The essays that make up this special issue illustrate what is to be gained by making systematic use of these resources. Their distinctively feminist contributions are characterized in terms of the recommendations for “doing science as a feminist” that have taken shape in the context of the long running “feminist method debate” in the (...) social sciences. (shrink)