Science and Values, Misc

When faced with an urgent and credible threat of grave harm, we should take proportionate precautions. This maxim captures the core commitments of the “precautionary principle”. But what is it for a precaution to be “proportionate”? I construct an account of proportionality (the “ARCANE” account) that consists of five fundamental conditions (absolute rights compatibility, reasonable compensation, consistency, adequacy and non- excessiveness) and a tie-breaker (efficiency). I apply this account to two examples from the COVID-19 pandemic (border closures and school closures), (...) arguing that my account captures the key questions on which it is both feasible and important to integrate expert input with democratic input. I close by considering how we might try to manage the risk of future pandemics in a proportionate way. (shrink)

While the foundations of climate science and ethics are well established, fine-grained climate predictions, as well as policy-decisions, are beset with uncertainties. This chapter maps climate uncertainties and classifies them as to their ground, extent and location. A typology of uncertainty is presented, centered along the axes of scientific and moral uncertainty. This typology is illustrated with paradigmatic examples of uncertainty in climate science, climate ethics and climate economics. Subsequently, the chapter discusses the IPCC’s preferred way of representing uncertainties and (...) evaluates its strengths and weaknesses from a risk management perspective. Three general strategies for decision-makers to cope with climate uncertainty are outlined, the usefulness of which largely depends on whether or not decision-makers find themselves in a context of deep uncertainty. The chapter concludes by offering two recommendations to ease the work of policymakers, faced with the various uncertainties engrained in climate discourse. (shrink)

Many philosophers of science have recently argued that extra-academic participation in scientific knowledge production does not threaten scientific objectivity. Quite the contrary: citizen science, participatory projects, transdisciplinary research, and other similar endeavours can even increase the objectivity of the research conducted. Simultaneously, researchers working in fields where such participation is common have expressed worries about various ways in which it can result in biases. In this paper I clarify how these arguments and worries can be compared, and how extra-academic participation (...) can both increase and threaten the objectivity of the research conducted. (shrink)

There is a lot of conceptual engineering going on in medical research. I substantiate this claim with two examples, the medical debate about cancer classification and about obesity as a disease I also argue that the proper target of conceptual engineering in medical research are experts’ conceptions. These are explicitly written down in documents and guidelines, and they bear on research and policies. In the second part of the chapter, I propose an externalist framework in which conceptions have both the (...) explanatory power of psychological concepts and that of semantic concepts. It is likely, however, that human activities and practices distinct from medical research, and regulated by different practices and epistemic rules, call for different targets for conceptual engineering. I conclude with indicating an open agenda of problems for philosophers of medicine interested in conceptual engineering. (shrink)

Social and medical scientists frequently produce empirical generalizations that involve concepts partly defined by value judgments. These generalizations, which have been called ‘mixed claims’, raise interesting questions. Does the presence of them in science imply that science is value-laden? Is the value-ladenness of mixed claims special compared to other kinds of value-ladenness of science? Do we lose epistemically if we reformulate these claims as conditional statements? And if we want to allow mixed claims in science, do we need a new (...) account of how to reconcile values with objectivity? Alexandrova (2017, 2018) offers affirmative answers to these questions. In responding to Alexandrova’s arguments, this discussion note motivates negative ones and in doing so casts new light on mixed claims. (shrink)

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

When it originated in the late 19th century, psychometrics was a field with both a scientific and a social mission: psychometrics provided new methods for research into individual differences, and at the same time, these psychometric instruments were considered a means to create a new social order. In contrast, contemporary psychometrics - due to its highly technical nature and its limited involvement in substantive psychological research - has created the impression of being a value-free discipline. In this article, we develop (...) a contrasting characterization of contemporary psychometrics as a value-laden discipline. We expose four such values: that individual differences are quantitative (rather than qualitative), that measurement should be objective in a specific sense, that test items should be fair, and that utility of a model is more important than its truth. Our goal is not to criticize psychometrics for employing these values, but rather to bring them into the open and to show that these values are not inevitable and are in need of systematic evaluation. (shrink)

Scientists imagine constantly. They do this when generating research problems, designing experiments, interpreting data, troubleshooting, drafting papers and presentations, and giving feedback. But when and how do scientists learn how to use imagination? Across 6 years of ethnographic research, it has been found that advanced career scientists feel comfortable using and discussing imagination, while graduate and undergraduate students of science often do not. In addition, members of marginalized and vulnerable groups tend to express negative views about the strength of their (...) imaginations and the general usefulness of imagination in science. After introducing these findings and discussing the typical relationship between a scientist and their imagination across a career, we argue that reducing the number or power of active imaginations in science is epistemically counterproductive. We suggest several ways to bring imagination back into science in a more inclusive way, especially through courses on imagination for scientists, good role models, and exemplar-based learning. (shrink)

We uncover a largely unnoticed and unaddressed problem in conservation research: arguments built within studies are sometimes defective in more fundamental and specific ways than appreciated, because they misrelate values and empirical matters. We call this the unraveled rope problem because just as strands of rope must be properly and intricately wound with each other so the rope supports its load, empirical aspects and value aspects of an argument must be related intricately and properly if the argument is to objectively (...) support its conclusion. By characterizing this problem with precision, our study differs from but complements existing studies of value issues in conservation science, in two ways. First, it focuses on key relationships between empirical issues and value issues, relations that have sometimes been obscured by focusing on these issues more independently of each other. Second, it focuses on these relationships within arguments and deploys a method of argument analysis and evaluation honed in other fields but under-utilized in conservation science. By combining our study's novel features, we detail six families of argument defect that exemplify the unraveled rope problem within existing literature. These defects sometimes manifest within basic research stages, rather than just in more applied downstream stages where roles for values are already obvious to many. As scientific reasoning and communication become increasingly important for addressing society's greatest environmental challenges, overcoming the unraveled rope problem will be essential to the success and integrity of conservation research. Therefore, we also outline potential solutions, preventative measures, and useful further work for conservation researchers. (shrink)

Replacing the value-free ideal (VFI) for science requires attention to the broader understanding of how science in society should function. In public spaces, science needed to project the VFI in norms for science advising, science education, and science communication. This resulted in the independent science advisor model and a focus on science literacy for science education and communication. Attending to these broader implications of the VFI which structure science and society relationships is crucial if we are to properly replace the (...) VFI with a better ideal. (shrink)

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

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

The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this particular context. We focus mainly on nonracial biases (...) that may be less considered when addressing biases in AI systems in the existing literature. In the manuscript, we found that the existence of bias in AI systems used for COVID-19 can result in algorithmic justice and that the legal frameworks and strategies developed to prevent the apparition of bias have failed to adequately consider social determinants of health. Finally, we make some recommendations on how to include more diverse professional profiles in order to develop AI systems that increase the epistemic diversity needed to tackle AI biases during the COVID-19 pandemic and beyond. (shrink)

This chapter introduces the articles by Marie C. Swabey, Thelma Z. Lavine, Grace A. de Laguna and Dorothy Walsh on the objectivity of scientific knowledge. We will see Swabey placing herself outside the historicist traditions of (later) authors (e.g., Thomas Kuhn), and arguing that the rationality and objectivity of science are grounded in synthetic a priori justified logical principles. Lavine and de Laguna, by contrast, embrace socio-historical approaches to the study of science, thus anticipating later developments in philosophy of science. (...) Still, whereas Lavine embraces a relativist notion of objectivity, de Laguna argues that science, at least in some respects, actually is universally valid. Walsh, finally, like Swabey, believes in context-independent objectivity that is grounded in metaphysics, but like de Laguna and Lavine, contends that such objectivity is discipline-specific. (shrink)

The demise of the value-free ideal constitutes a threat to public trust in science. One proposal is that whenever making value judgments, scientists rely only on democratic values. Since the influence of democratic values on scientific claims and recommendations is legitimate, public trust in science is warranted. I challenge this proposal. Appealing to democratic values will not suffice to secure trust because of at least two obstacles: polarization and marginalization.

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

In diesem Beitrag wird zunächst die epistemische Ausgangssituation von Laien und ExpertInnen im Rahmen der Debatte zur testimonialen Erkenntnisgewinnung genauer verortet. Als besonders wichtig erweist sich dabei die Klärung des Expertenbegriffs selbst. Nachfolgend wird die Differenzierung zwischen Vertrauen und bloßem Sich-Verlassen näher beleuchtet. Hierbei wird der Frage nachgegangen, ob eine konzeptuelle Neuausrichtung der Laien-Position im Kontext der Corona-Pandemie dazu beitragen kann, der zunehmend verfahren wirkenden Situation einer wachsenden Wissenschaftsskepsis in einigen sozialen Bereichen entgegenzuwirken. Um zu einer schlüssigen Antwort zu gelangen, (...) wird auf die genaue Kommunikationssituation während der Pandemie eingegangen. Deutlich wird in diesem Zusammenhang, dass eine Vielzahl von AkteurInnen mit unterschiedlichen Interessen und Werthaltungen zusammenkommen, um u.a. Fragen der Pandemiebekämpfung zu diskutieren. Eine epistemologische Analyse muss dieser komplexeren Situation gerecht werden. Insbesondere wird die Untersuchung aufzeigen, dass ExpertInnen mit sehr unterschiedlich fokussierten Werthaltungen in der Debatte aufeinandertreffen. Dass Werturteile in den epistemischen Prozessen wissenschaftlicher Hypothesenbildung und Ergebnisgewinnung eine Rolle spielen, stellt einen typischen Ansatzpunkt zur Erklärung für einen wachsenden Vertrauensverlust in wissenschaftliche ExpertInnen dar. In diesem Beitrag soll dieser Aspekt im Kontext der Pandemiesituation genauer analysiert werden. Es wird sich zeigen, dass eine Hauptschwierigkeit u.a. darin besteht, dass eine Reihe durchaus legitimer Werthaltungen hier miteinander in Konflikt geraten, für deren Hierarchisierung es bisher keine hinreichenden Leitlinien zu geben scheint. Abschließend wird daher die Frage aufgeworfen, ob PhilosophInnen die Funktion übernehmen können, die notwendige Orientierung innerhalb solcher Wertedebatten herzustellen. (shrink)

Philosophers of science often make reference — whether tacitly or explicitly — to the notion of a scientific community. Sometimes, such references are useful to make our object of analysis tractable in the philosophy of science. For others, tracking or understanding particular features of the development of science proves to be tied to notions of a scientific community either as a target of theoretical or social intervention. We argue that the structure of contemporary scientific research poses two unappreciated, or at (...) least underappreciated, challenges to this concept of the “scientific community” in the philosophy of science. In particular, we will present two case studies from robotics research, broadly construed, which show that (1) the boundedness of the scientific community is threatened when private citizens can develop scientific and technological advances at minimal expense (democratization), and (2) the discreteness of scientific research programs is threatened by the complexly interrelated environment of contemporary scientific work (interconnectivity). Taken together, the extent of democratization and interconnectivity present a significant challenge for any practically oriented philosophy of science, one which we hope will be taken on directly by philosophers in the future. (shrink)

Arguing from inductive risk, Heather Douglas tried to show that the ideal of value-free science is completely unfounded. The argument has been widely acknowledged to be a strong argument against the ideal. In this paper, beginning with an analysis of the concept of an ideal, we argue that the value-free ideal is an epistemic ideal rather than a practical or ethical ideal. Then, we aim to show that the argument from inductive risk cannot be employed against the value-free ideal as (...) far as it is understood as an epistemic ideal. We try to show that the argument takes practical and ethical limitations of actual scientific enterprise into account to undermine the value-free ideal. But employing non-epistemic considerations makes the argument impotent against an epistemic ideal. (shrink)

The value-free ideal for science holds that values should not influence the core features of scientific reasoning. We defend the difference-to-inference model of value-permeation, which holds that value-permeation in science is problematic when values make a difference to the inferences made about a hypothesis. This view of value-permeation is superior to existing views, and it suggests a corresponding maxim—namely, that scientists should strive to eliminate differences to inference. This maxim is the basis of a novel value-free ideal for science. -/- (...) . (shrink)

Most of the epidemiological models of the Covid-19 pandemic contain the reproduction number as a parameter. In this article we focus on some shortcomings regarding its role in driving health policies and political decisions. First, we summarize what R is and what it is used for. Second, we introduce a three-question matrix for the evaluation of any construct or parameter within a model. We then review the main literature about R to highlight some of its shortcomings and apply to them (...) our three-question matrix. Finally, we argue that these shortcomings are important for an epistemic and political evaluation of R. (shrink)

Our understanding of implicit bias and how to measure it has yet to be settled. Various debates between cognitive scientists are unresolved. Moreover, the public’s understanding of implicit bias tests continues to lag behind cognitive scientists’. These discrepancies pose potential problems. After all, a great deal of implicit bias research has been publicly funded. Further, implicit bias tests continue to feature in discourse about public- and private-sector policies surrounding discrimination, inequality, and even the purpose of science. We aim to do (...) our part by reconstructing some of the recent arguments in ordinary language and then revealing some of the operative norms or values that are often hidden beneath the surface of these arguments. This may help the public learn more about the science of implicit bias. It may also help both laypeople and scientists reflect on the values, interests, and stakeholders involved in establishing, justifying, and communicating scientific research. (shrink)

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

Double standards are widespread throughout biomedicine, especially in research on reproductive health. One of the clearest cases of double standards involves the feminine gendering of reproductive responsibility for contraception and the continued lack of highly effective, reversible methods for cisgender men. While the biomedical establishment accepts diversity and inclusion as important social values for clinical trials, their continued use of inequitable standards undermines their ability to challenge unfair social hierarchies by developing male contraception. Thus, the gender/sex bias present in contraceptive (...) research raises the “New Demarcation Problem”: If we accept that values can and will play important roles in science, how can we nevertheless distinguish positive influences of values from more corrosive bias? I argue that biomedical researchers ought to aim their clinical trials at equity and utilize methodologies that actually achieve that aim. More specifically, I contend that we can avoid the problem of double standards by gender/sex in contraceptive research by utilizing more equitable standards. My demarcation strategy captures dynamic interplay between values and their effects, with direct policy implications for institutions conducting, funding, and evaluating clinical trials. For male contraceptive trials, this involves shifting risk assessment from an individual model to a shared model for sexual partners. (shrink)

The costs of the COVID-19 pandemic are yet to be calculated, but they include the loss of millions of lives and the destruction of countless livelihoods. What is certain is that the SARS-CoV-2 virus has changed the way we live for the foreseeable future. It has forced many to live in ways they would have previously thought impossible. As well as challenging scientists and medical professionals to address urgent value conflicts in the short term, COVID-19 has raised slower-burning value questions (...) for corporations, public institutions, governments, and policymakers. In simple terms, the pandemic has brought what we care about into sharp relief, both collectively and individually. Whether this revaluation of our values will last beyond the current pandemic is unknown. Once COVID-19 has been tamed, will the desire to return to our previous lives be irresistible? Or will living under pandemic conditions have taught us something that will be incorporated into how we design our future lives and technologies? These are hard questions for the ethics of technology, which this volume aims to explore and address. (shrink)

Distrust in scientific experts can be surprisingly stubborn, persisting despite evidence supporting the experts’ views, demonstrations of their competence, or displays of good will. This stubborn distrust is often viewed as a manifestation of irrationality. By contrast, this article proposes a logic of “status distrust”: low-status individuals are objectively vulnerable to collective decision-making, and can justifiably distrust high-status scientific experts if they are not confident that the experts do not have their best interests at heart. In phenomena of status distrust, (...) social status is thus an indicator of distrust, and this has wider implications for the literatures on trust in science and on expert communication. (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)

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)

Policies that require male-female sex comparisons in all areas of biomedical research conflict with the goal of improving health outcomes through context-sensitive individualization of medical care. Sex, like race, requires a rigorous, contextual approach in precision medicine. A “sex contextualist” approach to gender-inclusive medicine better aligns with this aim.

This paper provides a philosophical assessment of leading theory-based, evidence-based and coherentist approaches to the definition and the measurement of well-being. It then builds on this assessment to articulate a reformed division of labor for the science of well-being and argues that this reformed division of labor can improve on the proffered approaches by combining the most plausible tenets of theory-based approaches with the most plausible tenets of coherentist approaches. This result does not per se exclude the possibility that theory-based (...) and coherentist approaches may be independently improved or amended in the years to come. Still, together with the challenges that affect these approaches, it strengthens the case for combining the most plausible tenets of those approaches. (shrink)

Objectivity in the sciences is a much-touted yet problematic concept. It is sometimes held up as characterising scientific knowledge, yet operational definitions are diverse and call for such paradoxical genius as the ability to see without a perspective, to predict repeatability, to elicit nature’s own self-revelation, or to discern the structure of reality with inerrancy. Here we propose a positive and general definition of objectivity based on work in the Reformational philosophy tradition. We recognise a suite of relation-frames–ways in which (...) things function and relate to each other, which can be analytically distinguished in the process of conceptual abstraction. These relation-frames also ground the diverse aspects of scientific analysis within which relationships and properties may be abstracted from entities and systems. We argue that objectivity can be understood as characteristic of representations that attempt to portray a subject in an earlier relation-frame than that in which it characteristically functions. In short, objectivity is projection. This proposal is exemplified from mathematics and the natural sciences and some possible objections to it are considered, as well as its extension to the social sciences. (shrink)

This paper examines the early years of decision making in the award of the Nobel Prize in physics and chemistry, and shows how the prize became a tool in the boundary work which upheld the social demarcations between scientists and inventors, as well as promoting a particular normative view of individual scientific achievement. The Nobel committees were charged with rewarding scientific achievements that benefited humankind: their interpretation of that criterion, however, turned in the first instance on their assessment of the (...) groundbreaking nature of the ‘science’, with the applied or practical ‘benefits’ of that discovery being treated as very much secondary factors in the award. Through an interrogation of the reports sent by the committees to the Royal Swedish Academy of Sciences, this paper shows how committee members depended on a notion of ‘post-dated utilitarianism’ in reconciling potential tension between rewarding basic and applied science, and explores the ways in which the annual prize both shaped, and was shaped by, media perceptions of scientific virtue. (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)

The Argument from Inductive Risk (AIR) is taken to show that values are inevitably involved in making judgements or forming beliefs. After reviewing this conclusion, I pose cases which are prima facie counterexamples: the unreflective application of conventions, use of black-boxed instruments, reliance on opaque algorithms, and unskilled observation reports. These cases are counterexamples to the AIR posed in ethical terms as a matter of personal values. Nevertheless, it need not be understood in those terms. The values which load a (...) theory choice may be those of institutions or past actors. This means that the challenge of responsibly handling inductive risk is not merely an ethical issue, but is also social, political, and historical. (shrink)

Solving the “new demarcation problem” requires a distinction between epistemically legitimate and illegitimate roles for non-epistemic values in science. This paper addresses one ‘half’ (i.e. a sub-problem) of the new demarcation problem articulated by the Gretchenfrage: What makes the role of a non-epistemic value in science epistemically illegitimate? I will argue for the Explaining Epistemic Errors (EEE) account, according to which the epistemically illegitimate role of a non-epistemic value is defined via an explanatory claim: the fact that an epistemic agent (...) is motivated by a non-epistemic value explains why the epistemic agent commits a particular epistemic error. The EEE account is inspired by Douglas’ and Steel’s “functionalist” or “epistemic constraint” accounts of epistemic illegitimacy. I will suggest that the EEE account is able to meet two challenges that these two accounts face, while preserving the key intuition underlying both accounts. If my arguments succeed, then the EEE account provides a solution to one half of the new demarcation problem (by providing a definition of what makes the role of a non-epistemic value epistemically illegitimate) and it opens up new ways for addressing the other half (i.e. characterizing an epistemically legitimate role of non-epistemic values). (shrink)

Scientists are frequently called upon to “democratize” science, by bringing the public into scientific research. One appealing point for public involvement concerns the nonepistemic values involved in science. Suppose, though, a scientist invites the public to participate in making such value-laden determinations but finds that the public holds values the scientist considers morally unacceptable. Does the argument for democratizing science commit the scientist to accepting the public’s objectionable values, or may she veto them? I argue that there are a limited (...) set of cases in which scientists can, consistently with a commitment to democratized science, set aside the public’s judgments. (shrink)

It used to be that the touchstone of objectivity was the elimination of subjective features, like our values, biases, assumptions, and so on. Part of what motivates this narrow conception of objectivity is the thought that objective reality is the way that it is regardless of our relationship to it, and that our ability to accurately describe or depict this reality is distorted by this relationship. But what if that understanding is wrong, and removing these features takes us farther away (...) from truth and knowledge, rather than closer to them? This is the claim I advance. In this article, I trace this narrow conception to its political origins, and advance a broader understanding of objectivity that reimagines a new use for, rather than ignoring entirely, features that are thought to be subjective. (shrink)

This article presents a long overdue analysis of the idea of an ethically committed social science, which, after the demise of positivism and the deeming of moral neutrality as impossible, has come to dominate the self-understanding of many contemporary sociological approaches. Once adequately specified, however, the idea is shown to be ethically questionable in that it works against the moral commitments constitutive of academic life. The argument is conducted with resources from the work of Peter Winch, thus establishing its continuing (...) relevance and critical importance for the social sciences, sociology in particular. Special reference is made to heretofore unappreciated aspects of Winch’s work, including within the groundbreaking The Idea of a Social Science and Its Relation to Philosophy, but focusing specifically on his later contributions to ethics. (shrink)

Weber's 'science as a vocation' has often been viewed as a therapeutic concept with no functional significance in the fully bureaucratized and professionalized modern science. However, development in the philosophy of science in the last century, especially the Kuhn thesis of the discontinuity of scientific progress and the Duhem-Quine thesis of underdetermination, shows that Weber's distinction between science as a vocation and science as a profession (career) can potentially answer one of the oldest questions in science studies: What makes scientific (...) breakthroughs possible? (shrink)

O objetivo deste artigo é analisar as relações entre agnotologia (construção social da ignorância) e o princípio da precaução (PP) sob dois aspectos. O primeiro diz respeito à crítica de que parcela dos defensores do PP teria utilizado estratégias de construção de ignorância. A partir do trabalho do filósofo Daniel Steel, mostro como elas enfraquecem um critério interno ao próprio princípio: a proporcionalidade. Sob o segundo aspecto, comento documentos tornados públicos que evidenciam estratégias de agnotologia por setores da indústria tanto (...) sobre o PP como sobre resultados científicos para que ele não fosse aplicado. Semelhante exposição ainda não foi realizada na literatura especializada no PP. A partir dessa análise, busco contribuir para identificar estratégias de agnotologia em debates sobre o PP. (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)

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)

Background Professional communities such as the medical community are acutely concerned with negligence: the category of misconduct where a professional does not live up to the standards expected of a professional of similar qualifications. Since science is currently strengthening its structures of self-regulation in parallel to the professions, this raises the question to what extent the scientific community is concerned with negligence, and if not, whether it should be. By means of comparative analysis of medical and scientific codes of conduct, (...) we aim to highlight the role of negligence provisions in codes of conduct for scientists, and to discuss the normative consequences for future codes of conduct. -/- Methods We collected scientific and medical codes of conduct in a selection of OECD countries, and submitted each code of conduct to comparative textual analysis. -/- Results Negligence is invariably listed as an infraction of the norms of integrity in medical codes of conduct, but only rarely so in the scientific codes. When the latter list negligence, they typically do not provide any detail on the meaning of ‘negligence’. -/- Discussion Unlike codes of conduct for professionals, current codes of conduct for scientists are largely silent on the issue of negligence, or explicitly exclude negligence as a type of misconduct. In the few cases where negligence is stipulated to constitute misconduct, no responsibilities are identified that would help prevent negligence. While we caution against unreasonable negligence provisions as well as disproportionate sanctioning systems, we do argue that negligence provisions are crucial for justified trust in the scientific community, and hence that there is a very strong rationale for including negligence provisions in codes of conduct. (shrink)

Public participation in scientific research has gained prominence in many scientific fields, but the theory of participatory research is still limited. In this paper, we suggest that the divergence of values and goals between academic researchers and public participants in research is key to analyzing the different forms this research takes. We examine two existing characterizations of participatory research: one in terms of public participants' role in the research, the other in terms of the virtues of the research. In our (...) view, each of these captures an important feature of participatory research but is, on its own, limited in what features it takes into account. We introduce an expanded conception of norms of collaboration that extends to both academic researchers and public participants. We suggest that satisfying these norms requires consideration of the two groups' possibly divergent values and goals, and that a broad characterization of participatory research that starts from participants' values and goals can motivate both public participants’ role in the research and the virtues of the research. The resulting framework clarifies the similarities and differences among participatory projects and can help guide the responsible design of such projects. (shrink)

To identify and conceptualize research problems in science, philosophers and often scientists rely on classical accounts of problems that focus on intellectual problems defined in relation to theories. Recently, philosophers have begun to study the structures and functions of research problems not defined in relation to theories. Furthermore, scientists have long pursued research problems often labeled as practical or applied. As yet, no account of problems specifies the description of both so-called intellectual problems and so-called applied problems. This article proposes (...) a new conceptual framework of problems that accounts both for intellectual aspects of problems and for their practical or applied aspects. I illustrate the account with an example of a recent research project from evolutionary biology, and I indicate further routes by that to develop the account, especially in connection to empirical studies of science. (shrink)

The argument from inductive risk, as developed by Rudner and others, famously concludes that the scientist qua scientist makes value judgments. The paper aims to show that trust in the soundness of the argument is overrated – that philosophers who endorse its conclusion fail to refute two of the most important objections that have been raised to its soundness: Jeffrey’s objection that the genuine task of the scientist is to assign probabilities to hypotheses, and Levi’s objection that the argument is (...) ambiguous about decisions about how to act and decisions about what to believe, that only the former presuppose value judgments, and that qua scientist, the scientist only needs to decide what to believe. (shrink)