This response addresses the excellent responses to my book provided by Heather Douglas, Janet Kourany, and Matt Brown. First, I provide some comments and clarifications concerning a few of the highlights from their essays. Second, in response to the worries of my critics, I provide more detail than I was able to provide in my book regarding my three conditions for incorporating values in science. Third, I identify some of the most promising avenues for further research that flow out of (...) this interchange. (shrink)

Professionals in environmental fields engage with complex problems that involve stakeholders with different values, different forms of knowledge, and contentious decisions. There is increasing recognition of the need to train graduate students in interdisciplinary environmental science programs in these issues, which we refer to as “social ethics.” A literature review revealed topics and skills that should be included in such training, as well as potential challenges and barriers. From this review, we developed an online survey, which we administered to faculty (...) from 81 United States colleges and universities offering IESPs. Respondents overwhelmingly agreed that IESPs should address values in applying science to policy and management decisions. They also agreed that programs should engage students with issues related to norms of scientific practice. Agreement was slightly less strong that IESPs should train students in skills related to managing value conflicts among different stakeholders. The primary challenges to incorporating social ethics into the curriculum were related to the lack of materials and expertise for delivery, though challenges such as ethics being marginalized in relation to environmental science content were also prominent. Challenges related to students’ interest in ethics were considered less problematic. Respondents believed that social ethics are most effectively delivered when incorporated into existing courses, and they preferred case studies or problem-based learning for delivery. Student competence is generally not assessed, and respondents recognized a need for both curricular materials and assessment tools. (shrink)

The argument from inductive risk is considered to be one of the strongest challenges for value-free science. A great part of its appeal lies in the idea that even an ideal epistemic agent—the “perfect scientist” or “scientist qua scientist”—cannot escape inductive risk. In this paper, I scrutinize this ambition by stipulating an idealized Bayesian decision setting. I argue that inductive risk does not show that the “perfect scientist” must, descriptively speaking, make non-epistemic value-judgements, at least not in a way that (...) undermines the value-free ideal. However, the argument is more successful in showing that there are cases where the “perfect scientist” should, normatively speaking, use non-epistemic values. I also show that this is possible without creating problems of illegitimate prescription and wishful thinking. Thus, while inductive risk does not refute value-freedom completely, it still represents a powerful critique of value-free science. (shrink)

In this response to Robert Hudson’s article, “Should We Strive to Make Science Bias-Free? A Philosophical Assessment of the Reproducibility Crisis,” we identify three ways in which he misrepresents our work: he conflates value-ladenness with bias; he describes our view as one in which values are the same as evidential factors; and he creates a false dichotomy between two ways that values could be considered in science for policy. We share Hudson’s concerns about promoting scientific reproducibility and reducing bias in (...) science, but we reject his view that the value-free ideal provides helpful guidance for addressing these issues. (shrink)

We offer a new account of the role of values in theory choice that captures a temporal dimension to the values themselves. We argue that non-epistemic values sometimes serve as “inquiry tickets,” justifying scientists’ pursuit of certain questions in the short run, while the answers to those questions mitigate transient underdetermination in the long run. Our account of inquiry tickets shows that the role of non-epistemic values need not be restricted to belief or acceptance in order to be relevant to (...) hypothesis choice: the relevance of non-epistemic values to a particular cognitive attitude with respect to h vary over time. (shrink)

This paper argues that ethical propositions can legitimately be used as evidence for and against empirical conclusions. Specifically, I argue that this thesis is entailed by several uncontroversial assumptions about ethical metaphysics and epistemology. I also outline several examples of ethical-to-empirical inferences where it is extremely plausible that one can rationally rely upon their ethical evidence in order to gain a justified belief in an empirical conclusion. The main upshot is that ethical propositions can, under perfectly standard conditions, play both (...) direct and indirect evidential roles in (social) scientific inquiry. (shrink)

The argument from inductive risk has been embraced by many as a successful account of the role of values in science that challenges the value-free ideal. We argue that it is not obvious that the argument from inductive risk actually undermines the value-free ideal. This is because the inductive risk argument endorses an assumption held by proponents of the value-free ideal: that contextual values never play an appropriate role in determining evidence. We show that challenging the value-free ideal ultimately requires (...) rejecting this assumption. (shrink)

During emerging public health crises, both policymakers and members of the public are looking to scientific experts to provide guidance. Even in cases where there are significant uncertainties, there is pressure for experts to “speak with one voice” to avoid confusion, allow officials to make evidence-based decisions rapidly, and encourage public support for such decisions. This can lead experts to engage in masking of information about the state of the science or regarding assumptions involved in policy recommendations. Although experts might (...) have good reasons for masking disagreements, uncertainties, or assumptions when offering policy advice, we argue that this strategy can result in epistemic harms. Using the case of the COVID-19 pandemic, we show that public health authorities masked two types of information necessary for laypersons to evaluate public health recommendations: (1) experts’ disagreements about the scientific evidence and (2) the role of values in making inferences from the science to policy positions. We contend that this resulted in epistemic harms against laypeople that provide a pro tanto case against masking information. We further argue that when the science is in flux and policies need to be implemented despite significant uncertainties, there is an all-things-considered case against masking the types of information discussed. (shrink)

I examine how Heather Douglas’ account of values in science applies to the assessment of actual cases of scientific practice. I focus on the case of applied toxicologists’ acceptance of molecular evidence-gathering methods and evidential sources. I demonstrate that a set of social and institutional processes plays a philosophically significant role in changing toxicologists’ inductive risk judgments about different kinds of evidence. I suggest that Douglas’ inductive risk framework can be integrated with a suitable account of evidence, such as Helen (...) Longino’s contextual empiricism, to address the role of social context in the cases like the one examined here. I introduce such an integrated account and show how Longino’s contextual empiricism and inductive risk framework fruitfully complement each other in analyzing the novel aspects of the toxicology case. (shrink)

The now retired NIH Consensus Development Program has been used as a model for similar programs in other countries. However, the epistemic value of this kind of program has been disputed. This article provides an overview of the arguments levelled at Miriam Solomon by Laszlo Kosolosky and Jeroen Van Bouwel, who provide an opposing philosophical position on this issue. Here, I argue for a middle ground position that highlights the methodological interest of a retrospective analysis of the NIH consensus conferences (...) as a way to assess the impact of a public forum on guidelines ultimately relayed to healthcare professionals and citizens. (shrink)

Despite wide recognition that speculation is critical for successful science, philosophers have attended little to it. When they have, speculation has been characterized in narrowly epistemic terms: a hypothesis is speculative due to its (lack of) evidential support. These ‘evidence-first’ accounts provide little guidance for what makes speculation productive or egregious, nor how to foster the former while avoiding the latter. I examine how scientists discuss speculation and identify various functions speculations play. On this basis, I develop a ‘function-first’ account (...) of speculation. This analysis grounds a richer discussion of when speculation is egregious and when it is productive, based in both fine-grained analysis of the speculation’s purpose, and what I call the ‘epistemic situation’ scientists face. (shrink)

This paper investigates the case of enzyme classification to evaluate different ideals for regulating values in science. I show that epistemic and non-epistemic considerations are inevitably and untraceably entangled in enzyme classification, and argue that this has significant implications for the two main kinds of views on values in science, namely, Epistemic Priority Views and Joint Satisfaction Views. More precisely, I argue that the case of enzyme classification poses a problem for the usability and descriptive accuracy of these two views. (...) The paper ends by suggesting that these two views provide different but complementary perspectives, and that both are useful for evaluating values in science. (shrink)

James Van Cleve raises some objections to my attempt to solve the bootstrapping problem for what I call “basic justification theories.” I argue that given 1 the inference rules endorsed by basic justification theorists, we are a priori (propositionally) justified in believing that perception is reliable. This blocks the bootstrapping result.

Kevin Elliott and others separate two common arguments for the legitimacy of societal values in scientific reasoning as the gap and the error arguments. This article poses two questions: How are these two arguments related, and what can we learn from their interrelation? I contend that we can better understand the error argument as nested within the gap because the error is a limited case of the gap with narrower features. Furthermore, this nestedness provides philosophers with conceptual tools for analyzing (...) more robustly how values pervade science. (shrink)

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

In this paper, I consider the relationship between Inference to the Best Explanation and Bayesianism, both of which are well-known accounts of the nature of scientific inference. In Sect. 2, I give a brief overview of Bayesianism and IBE. In Sect. 3, I argue that IBE in its most prominently defended forms is difficult to reconcile with Bayesianism because not all of the items that feature on popular lists of “explanatory virtues”—by means of which IBE ranks competing explanations—have confirmational import. (...) Rather, some of the items that feature on these lists are “informational virtues”—properties that do not make a hypothesis \ more probable than some competitor \ given evidence E, but that, roughly-speaking, give that hypothesis greater informative content. In Sect. 4, I consider as a response to my argument a recent version of compatibilism which argues that IBE can provide further normative constraints on the objectively correct probability function. I argue that this response does not succeed, owing to the difficulty of defending with any generality such further normative constraints. Lastly, in Sect. 5, I propose that IBE should be regarded, not as a theory of scientific inference, but rather as a theory of when we ought to “accept” H, where the acceptability of H is fixed by the goals of science and concerns whether H is worthy of commitment as research program. In this way, IBE and Bayesianism, as I will show, can be made compatible, and thus the Bayesian and the proponent of IBE can be friends. (shrink)

We introduce a novel form of experimental knowledge that is the result of institutionally structured communication practices between farmers and university- and local community-based agronomists (agricultural extension specialists). This form of knowledge is exemplified in these communities’ uses of the concept of grower standard. Grower standard is a widely used but seldom discussed benchmark concept underpinning protocols used within agricultural experiments. It is not a one-size-fits-all standard but the product of local and active interactions between farmers and agricultural extension specialists. (...) Grower standard is in some ways similar to more familiar epistemic objects discussed in philosophy of experiment, such as controls or background conditions. However, we argue that grower standard is epistemically novel, due to how knowledge arising from it is coproduced by farmers and agricultural extension specialists. Further, in the United States, this knowledge coproduction is institutionally structured by federal legislature dating back to the 19th century. We use our analysis of grower standard to focus a discussion of the positionality of the coproducers as well as the epistemic products of this form of knowledge coproduction, and we explore the role extension work plays in shaping agricultural science more broadly. (shrink)

I critically analyze Kevin Elliott’s A Tapestry of Values in order to tease out his views on the nature and status of values or value judgments in the text. I show there is a tension in Elliott’s view that is closely connected to a major lacuna in the philosophical literature on values in science: the need for a better theory of values.

Philosophy of Science After Feminism is an important contribution to philosophy of science, in that it argues for the central relevance of advances from previous work in feminist philosophy of science and articulates a new vision for philosophy of science going in to the future. Kourany’s vision of philosophy of science’s future as “socially engaged and socially responsible” and addressing questions of the social responsibility of science itself has much to recommend it. I focus the book articulation of an ethical-epistemic (...) ideal for science, the Ideal of Socially Responsible Science, compare it to recent work in the same vein by Heather Douglas, and argue for some advantages of Kourany’s approach. I then ask some critical question about the view, particularly with respect to the source of values that are to be integrated into science and the status of values that are to be so integrated. I argue that Kourany is too sanguine about where the values that inquirers will use come from and that these values seem to be accorded too fixed a status in her account. (shrink)

The disconnect problem arises wherever there is ongoing and severe discordance between the scientific assessment of a politically relevant issue, and the politics and legislation of said issue. Here, we focus on the disconnect problem as it arises in the case of climate change, diagnosing a failure to respect the necessary tradeoff between authority and autonomy within a public institution like science. After assessing the problematic deployment of scientific authority in this arena, we offer suggestions for how to mitigate climate (...) change’s particular disconnect problem, as well as more general proposals for reforming science advising. (shrink)

Defenders of value-free science appeal to cognitive attitudes as part of a wedge strategy, to mark a distinction between science proper and the uses of science for decision-making, policy, etc. Distinctions between attitudes like belief and acceptance have played an important role in defending the value-free ideal. In this paper, I will explore John Dewey's pragmatist philosophy of science as an alternative to the philosophical framework the wedge strategy rests on. Dewey does draw significant and useful distinctions between different sorts (...) of cognitive attitudes taken by inquirers, but none can be used to support the wedge strategy. (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)

Recent scholarship in philosophy of science and technology has shown that scientific and technological decision making are laden with values, including values of a social, political, and/or ethical character. This paper examines the role of value judgments in the design of machine-learning systems generally and in recidivism-prediction algorithms specifically. Drawing on work on inductive and epistemic risk, the paper argues that ML systems are value laden in ways similar to human decision making, because the development and design of ML systems (...) requires human decisions that involve tradeoffs that reflect values. In many cases, these decisions have significant—and, in some cases, disparate—downstream impacts on human lives. After examining an influential court decision regarding the use of proprietary recidivism-prediction algorithms in criminal sentencing, Wisconsin v. Loomis, the paper provides three recommendations for the use of ML in penal systems. (shrink)

Empirical adequacy matters directly - as it does for antirealists - if we aim to get all or most of the observable facts right, or indirectly - as it does for realists - as a symptom that the claims we make about the theoretical facts are right. But why should getting the facts - either theoretical or empirical - right be required of an acceptable theory? Here we endorse two other jobs that good theories are expected to do: helping us (...) with a) understanding and b) managing the world. Both are of equal, often greater, importance than getting a swathe of facts right, and empirical adequacy fares badly in both. It is not needed for doing these jobs and in many cases it gets in the way of doing them efficiently. (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)

Well–being, health and freedom are some of the many phenomena of interest to science whose definitions rely on a normative standard. Empirical generalizations about them thus present a special case of value-ladenness. I propose the notion of a ‘mixed claim’ to denote such generalizations. Against the prevailing wisdom, I argue that we should not seek to eliminate them from science. Rather, we need to develop principles for their legitimate use. Philosophers of science have already reconciled values with objectivity in several (...) ways, but none of the existing proposals are suitable for mixed claims. Using the example of the science of well-being, I articulate a conception of objectivity for this science and for mixed claims in general. _1_ Introduction _2_ What Are Mixed Claims? _3_ Mixed Claims Are Different _3.1_ Values as reasons to pursue science _3.2_ Values as agenda-setters _3.3_ Values as ethical constraints on research protocols _3.4_ Values as arbiters between underdetermined theories _3.5_ Values as determinants of standards of confirmation _3.6_ Values as sources of wishful thinking and fraud _4_ Mixed Claims Should Stay _4.1_ Against Nagel _5_ The Dangers of Mixed Claims _6_ The Existing Accounts of Objectivity _6.1_ The perils of impartiality _7_ Objectivity for Mixed Claims _8_ Three Rules _8.1_ Unearth the value presuppositions in methods and measures _8.2_ Check if value presuppositions are invariant to disagreements _8.3_ Consult the relevant parties _9_ Conclusion. (shrink)

This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is problematically incomplete. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry (...) bias does not only threaten existing conventions but may impede their empirically warranted improvement if they align with industry preferences. My empiricist account of standards of inductive risk avoids such a problem by asserting that conventional justification can be pragmatically warranted but has, in principle, only a provisional status. Methodological conventions, therefore, should not only be defended from preference-based infringements on their coordinative function but ought to be subjected to empirical criticism. (shrink)

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

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

A disposition or dispositional property is a capacity, ability, or potential to display or exhibit some outcome. Evolvability refers to a disposition to evolve. This chapter discusses why the dispositional nature of evolvability matters—why philosophical distinctions about dispositions can have scientific implications. To that end, we build a conceptual toolkit with vocabulary from prior philosophical analyses using a different disposition: protein foldability. We then apply this toolkit to address several methodological questions related to evolvability. What entities are the bearers of (...) evolvability? What features causally contribute to the disposition of evolvability? How does evolvability manifest? The various possible answers to these questions available from philosophical distinctions suggest key implications for why the concept of evolvability as a disposition is useful in evolutionary research. These include (1) securing scientific virtues (e.g., explanatory depth and generalization, prediction or retrodiction, and control or manipulation) and (2) fostering interdisciplinary collaboration through the coordination of definitional diversity and different types of inquiry. Together these facilitate concentration on a variety of research questions at different levels of organization and on distinct time scales, all of which should be expected for a complex dispositional property such as evolvability. (shrink)

Conservation biology emerged as an organized academic discipline in the United States in the 1980s though much of its theoretical framework was originally developed in Australia. Significant differences of approach in the two traditions were resolved in the late 1990s through the formulation of a consensus framework for the design and adaptive management of conservation area networks. This entry presents an outline of that framework along with a critical analysis of conceptual issues concerning the four theoretical problems that emerge from (...) it: (i) place prioritization for conservation action; (ii) the selection of surrogates for biodiversity in conservation planning; (iii) the assessment of vulnerability of conservation areas; and (iv) the synchronization of incommensurable criteria including socio-economic constraints on conservation planning. (shrink)

Cancer—and scientific research on cancer—raises a variety of compelling philosophical questions. This entry will focus on four topics, which philosophers of science have begun to explore and debate. First, scientific classifications of cancer have as yet failed to yield a unified taxonomy. There is a diversity of classificatory schemes for cancer, and while some are hierarchical, others appear to be “cross-cutting,” or non-nested. This literature thus raises a variety of questions about the nature of the disease and disease classification. Second, (...) philosophers of science have historically taken the aim of science to be arriving at true theories. However, scientists studying cancer come from a variety of disciplines, with different scientific as well as practical aims. Perhaps it is not surprising, then, that historians and philosophers of science do not seem to agree on how best to characterize the aim and structure of cancer research; it is far from clear whether the appropriate characterization of the aim is arriving at true theories, or even whether the proper units of analysis are “theories”, or instead, “models”, “explanatory frameworks”, “research programs”, “paradigms”, or perhaps, “experimental traditions”. With the rise of “big data” science—such as the Cancer Genome Atlas Project (or TCGA)—and “systems” approaches to the study of disease, both philosophers and historians of science are rethinking how best to describe and explain these distinctive kinds of scientific inquiry. -/- Third, cancer is in part a byproduct of our developmental and life history, as well as our evolutionary history. Cancer progression can be compared to a reversion of development, or, to the evolution of multicellularity. Thus, cancer raises intriguing questions about how we conceive of “functions”, “development”, and the role of our evolutionary history and particularly, selective trade-offs, in vulnerability to disease. -/- Last but not least, cancer research provides a case study for consideration of the roles of values at the science-policy interface. Epidemiological and toxicological research on cancer’s causes informs toxics law and regulatory policy, which raises a variety of questions about the nature of evidence and inductive risk in such contexts. (shrink)

While the science and values literature has seen recurrent concerns about wishful thinking, there have been few efforts to characterize this phenomenon. Based on a review of varieties of wishful thinking involved in climate skepticism, we argue that instances of wishful thinking can be fruitfully characterized in terms of the mechanisms that generate them and the problems associated with them. We highlight the array of mechanisms associated with wishful thinking, as well as the fact that it can be evaluated both (...) from epistemic and ethical perspectives. We argue that it is doubtful that a single unified definition of wishful thinking can be developed. Moreover, the concept of wishful thinking can problematically focus excessive attention on individual and epistemic problems in science, to the exclusion of social and ethical problems. (shrink)

Science is widely regarded as the most reliable epistemic source of providing knowledge about the world. Policymakers intend to make purposeful changes in the world. The practice of policymakers relying on scientific experts to make informed decisions about which policies to implement is called Evidence Based Policymaking. This thesis provides a perspective from the philosophy of science in order to discuss the justifiability of Evidence Based Policymaking (EBP) with respect to broadly democratic and liberal values. Justifying EBP with broadly democratic (...) and liberal values entails that the practices of EBP promote, or at least are in harmony with, values such as democratic governance and enhancement of people’s freedom and autonomy. Identifying the conditions under which practices of EBP meet such desiderata minimally requires an understanding of how sciences and scientific experts are instrumental in realizing the public’s values, needs, interests, and pursuit of freedom. In order to approach this project, the thesis adopts a philosophical perspective to conceptualize how sciences are supposed to be guided by or promote society’s values, needs, and interests. Specifically, it adopts a perspective from the philosophy of science that focuses on the relationship between science and (societal) values. The kind of philosophy of science perspective on “values in science” that this thesis adopts has two overarching pursuits relevant for the project of the thesis. Firstly, it seeks to inform the debates about which values and non-epistemic considerations are supposed to inform scientific research. For instance, it discusses the proper sources/owners of the non-epistemic desiderata that inform scientific research and the proper social mechanisms to identify these non-epistemic desiderata (e.g. Kourany, 2010; Kitcher, 2011). Second, it offers theories of the non-epistemic values’ proper roles in scientific reasoning and research that specify how their involvement in science does not unduly compromise the epistemic pursuits of science. The values-in-science perspective thereby seeks to balance the instrumental value of science (i.e., its use to pursue certain societal projects and values) with its epistemic authority (i.e., its objectivity, non-dogmatism, and reliability). The thesis advances an understanding of EBP from the perspective of the values in science by addressing issues that come to the fore when EBP is acknowledged as a value-laden practice of informed decision-making. (shrink)

Heather Douglas has helped to set the standard for twenty-first century discussions in philosophy of science on the topics of values in science and science in democracy. Douglas’s work has been part of a movement to bring the question of values in science back to center of the field and to focus especially on policy-relevant science. This first chapter, on the pervasive entanglement of science and values, includes an improved and definitive statement of the argument from inductive risk, which she (...) is single-handedly responsible for rehabilitating and returning to the center of the debate. This statement makes clear the fundamental and absolutely pervasive nature of inductive risk and its import for our understanding of the role of values in science. The chapter also provides a survey of the current field of alternative approaches to ideals for the epistemic role of values in science that is comprehensive and generous, yet critical of each. -/- In these brief comments, I focus on providing an alternative perspective on some conceptual and rhetorical issues in Douglas’s account, specifically dealing with the nature of values and the relation of the descriptive and the normative. This will lead me to somewhat different evaluations of two of the five new ideals for values in science that Douglas canvasses in the chapter. (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)

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

Pluralism about scientific method is more-or-less accepted, but the consequences have yet to be drawn out. Scientists adopt different methods in response to different epistemic situations: depending on the system they are interested in, the resources at their disposal, and so forth. If it is right that different methods are appropriate in different situations, then mismatches between methods and situations are possible. This is most likely to occur due to method bias: when we prefer a particular kind of method, despite (...) that method clashing with evidential context or our aims. To explore these ideas, we sketch a kind of method pluralism which turns on two properties of evidence, before using agent-based models to examine the relationship between methods, epistemic situations, and bias. Based on our results, we suggest that although method bias can undermine the efficiency of a scientific community, it can also be productive through preserving a diversity of evidence. We consider circumstances where method bias could be particularly egregious, and those where it is a potential virtue, and argue that consideration of method bias reveals that community standards deserve a central place in the epistemology of science. (shrink)

Philosophy of science has seen a passionate debate over the influence of non-cognitive values on theory choice. In this paper, we argue against a dichotomous divide between cognitive and non-cognitive values and for the possibility of a dual role for feminist values. By analyzing the influence of feminist values on evolutionary psychology and evolutionary biology, we show how they have cognitive and non-cognitive functions at the same time.

Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed “epistemic inequality”: this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of overcoming epistemic inequality. We argue that value management can be seriously considered (...) as soon as the value-free ideal and inductive risk arguments commonly used to frame the discussions of value influence in climate science are replaced by alternative social accounts of objectivity. We consider objectivity in Longino's sense as well as strong objectivity in Harding's sense to be relevant options here, because they offer concrete proposals that can guide scientific practice in evaluating and designing so-called multi-model ensembles and, in fine, improve their capacity to quantify and express uncertainty in climate projections. (shrink)

Business models for biomedical research prescribe decentralization due to market selection pressures. I argue that decentralized biomedical research does not match four normative philosophical models of the role of values in science. Non-epistemic values affect the internal stages of for-profit biomedical science. Publication planning, effected by Contract Research Organizations, inhibits mechanisms for transformative criticism. The structure of contracted research precludes attribution of responsibility for foreseeable harm resulting from methodological choices. The effectiveness of business strategies leads to overrepresentation of profit values (...) versus the values of the general public. These disconnects in respect to the proper role of values in science results from structural issues ultimately linked to the distinct goals of business versus applied science, and so it seems likely that disconnects will also be found in other dimensions of attempts to combine business and science. The volume and integration in the publishing community of decentralized biomedical research imply that the entire community of biomedical research science cannot match the normative criteria of community-focused models of values in science. Several proposals for changing research funding structure might successfully relieve market pressures that drive decentralization. (shrink)