Science and Values, Misc

When faced with an urgent and credible threat of grave harm, we should take proportionate precautions. But what is it for a precaution to be “proportionate”? I construct a pragmatic analysis of consisting of four tests—permissibility-in-principle, adequacy, reasonable necessity and consistency—that could realistically be applied by a citizens’ assembly meeting online or in person. I apply these tests retrospectively 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 then consider 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)

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)

When evidence-based policymaking is so often mired in disagreement and controversy, how can we know if the process is meeting its stated goals? We develop a novel mathematical model to study disagreements about adequate knowledge utilization, like those regarding wild horse culling, shark drumlines and facemask policies during pandemics. We find that, when stakeholders disagree, it is frequently impossible to tell whether any party is at fault. We demonstrate the need for a distinctive kind of transparency in evidence-based policymaking, which (...) we call transparency of reasoning. Such transparency is critical to the success of the evidence-based policy movement, as without it, we will be unable to tell whether in any instance a policy was in fact based on evidence. (shrink)

Scientific literacy is an essential aspect of an undergraduate education. Recipes for Science responds to this need by providing an accessible introduction to the nature of science and scientific methods appropriate for any beginning college student. The book is adaptable to a wide variety of different courses, such as introductions to scientific reasoning, methods courses in scientific disciplines, science education, and philosophy of science. -/- Recipes for Science ​​was first published in 2018, and a thoroughly revised second edition was published (...) in 2024. Special features include contemporary and historical case studies from many fields of physical, life, and social sciences; visual aids to clarify and illustrate ideas; text boxes to explore related topics; plenty of exercises to support student recall and application of concepts; suggestions for further readings at the end of each chapter; a glossary with helpful definitions of key terms; and a companion website with course syllabi, PowerPoint presentations, additional exercises, and original short videos on key topics. (shrink)

The Value-free ideal of science (VFI) is a view that claims that scientists should not use non-epistemic values when they are justifying their hypotheses, and is widely considered to be obsolete in the philosophy of science. I will defend the ideal by demonstrating that acceptance of non-epistemic values, prohibited by VFI, necessitates legitimizing certain problematic scientific practices. Such practices, including biased methodological decisions or Questionable Research Practices (QRP), significantly contribute to the Replication Crisis. I will argue that the realizability of (...) VFI is not a necessary condition for its validity. Then, I will show how some of the prominent proposals of value-laden science legitimize problematic scientific practices, provide real-world examples, and generalize the argument. Finally, I will show how value-laden methodological decisions contribute to the Replicability Crisis and discuss two strategies for realizing VFI. (shrink)

Scientific hedges are communicative devices used to qualify and weaken scientific claims. Gregor Betz has argued—unconvincingly, we think—that hedging can rescue the value-free ideal for science. Nevertheless, Betz is onto something when he suggests there are political principles that recommend scientists hedge public-facing claims. In this article, we recast this suggestion using the notion of public justification. We formulate and reject a Rawlsian argument that locates the justification for hedging in its ability to forge consensus. On our alternative proposal, hedging (...) is often justified because it renders scientific claims as publicly accessible reasons. (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)

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)

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)

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)

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)

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)

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)

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.

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)

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)

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)

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)

Although the impact of so-called “sponsorship bias” has been the subject of increased attention in the philosophy of science, what exactly constitutes its epistemic wrongness is still debated. In this paper, I will argue that neither evidential accounts nor social–epistemological accounts can fully account for the epistemic wrongness of sponsorship bias, but there are good reasons to prefer social–epistemological to evidential accounts. I will defend this claim by examining how both accounts deal with a paradigm case from medical epistemology, recently (...) discussed in a paper by Bennett Holman. I will argue that evidential accounts cannot adequately capture cases of sponsorship bias that involve the manufacturing of certainty because of their neutrality with respect to the role of non-epistemic values in scientific practice. If my argument holds, it further highlights the importance of integrating social and ethical concerns into epistemological analysis, especially in applied contexts. One can only properly grasp sponsorship bias as an epistemological problem if one resists the methodological tendency to analyze social, ethical, and epistemological issues in isolation from each other. (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)

The world is in a state of crisis. Global problems that threaten our future include: the climate crisis; the destruction of natural habitats, catastrophic loss of wild life, and mass extinction of species; lethal modern war; the spread of modern armaments; the menace of nuclear weapons; pollution of earth, sea and air; rapid rise in the human population; increasing antibiotic resistance; the degradation of democratic politics, brought about in part by the internet. It is not just that universities around the (...) world have failed to help humanity solve these global problems; even worse, they have made the genesis of these problems possible. Modern science and technology, developed in universities, have made possible modern industry and agriculture, modern hygiene and medicine, modern power production and travel, modern armaments, which in turn make possible much that is good, all the great benefits of the modern world, but also all the global crises that now threaten our future. What has gone wrong? The fault lies with the whole conception of inquiry built into universities around the world. The basic idea is to help promote human welfare by, in the first instance, acquiring scientific knowledge and technological know-how. First, knowledge is to be acquired; once acquired, it can be applied to help solve social problems, and promote human welfare. But this basic idea is an intellectual disaster. Judged from the standpoint of promoting human welfare, it is profoundly and damagingly irrational, in a structural way. As a result of being restricted to the tasks of acquiring and applying knowledge, universities are prevented from doing what they most need to do to help humanity solve global problems, namely, engage actively with the public to promote action designed to solve global problems. We need urgently to bring about a revolution in universities around the world, wherever possible, so that their central task becomes to help humanity learn how to solve the climate crisis and other problems of living, local and global, so that we may make progress towards a good, civilized world. Almost every branch and aspect of the university needs to change. (shrink)

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

Bilime ve onun bilgisine akademik, politik, ekonomik ve kamusal alanlar olmak üzere birçok alanda diğer bilgi iddialarına kıyasla daha fazla güven duyulmaktadır. Bilime duyulan bu güvenin temelinde büyük ölçüde bilimsel süreçlerin ve yöntemlerin nesnel bir şekilde yürütülmesi ve bu nesnel sürecin bir ürünü olarak bilimsel bilginin tarafsız bilim insanları tarafından ortaya konulduğu düşüncesi yatmaktadır. Bu bakımdan toplum tarafından bilimin tartışılmaz statüsünün ve bilimsel bilgiye verilen değerin belirleyicisi olarak nesnellik özelliği ön plana çıkmaktadır. Bilhassa doğa bilimleri söz konusu olduğunda bilimsel yöntemin (...) olgulara ve dış dünyaya ilişkin nesnel bilgiler sağladığı düşünülmektedir. Bu bakımdan doğa bilimleri, bilimde nesnelliğin paradigmatik örnekleri olarak kabul görmektedir. Beşeri ve sosyal bilimler alanında ise doğa bilimlerine kıyasla nesnellik algısı düşük olmasına rağmen, yöntemlerinin bilimsel yöntemle çalışılmaya uygun olmasından dolayı en azından ilke olarak nesnel olduğu değerlendirilmektedir. Bilimin değerler alanından ziyade olgu alanına ilişkin çalışmalar yürütmesi, bilim insanlarının değerler, anlamlar ve ideallerinden de kendisini izole ederek bilimsel nesnelliği temin edilebileceği konusunda genel bir kavrayışa yol açmaktadır. Bu görüşün önde gelen düşünürü Karl Popper’dır. Popper bilimsel nesnelliğin, olgusal içerikli önermelerin – protokol önermeleri – öznelerarası sınanabilir olması ile temin edilebileceğini ve böylece bilim insanlarının çalışmalarında kültür, değer ve inanç gibi öznel kanılarının bilimsel bilginin temellendirilmesi ve sınanması noktasında kullanılamayacağını ifade etmiştir. Ancak bilimin doğasına yönelik bir soruşturma bilimsel bilginin düşünüldüğü kadar nesnel bir sürece sahip olmadığını, bilim faaliyetini gerçekleştiren bilim insanlarının kişisel çıkarlarının, değerlerinin ve içinde yaşamış oldukları kültürel faktörlerin bilimsel bilginin elde edilmesi sürecinde etkili olabileceğini ortaya koymaktadır. Bu bakımdan bilimin doğasını doğru bir şekilde anlayabilmenin yolu bilimlerde nesnellik ölçütünün sosyolojik ve kültürel unsurlarla yakından ilişkili olduğunu bilmekten geçmektedir. Thomas Kuhn bilimsel değerlendirmelerde değer yargılarının ve kültürel unsurların kaçınılmaz olduğu düşüncesindedir. Kuhn, Popper’ın aksine sosyolojik etmen ve değerleri de işin içerisine katarak bir bilimsel nesnellik değerlendirmesi yapmaktadır. Bu doğrultuda, o bilimde fazlasıyla öznel unsurları vurguladığı eleştirilerine imkân vermeyecek şekilde bilim insanlarının takip etmesi gereken ve tavsiye niteliğinde olan belirli değerler neticesinde bilimsel nesnelliğin ve rasyonalitenin sağlanabileceğini ifade etmektedir. Bu kapsamda çalışmada, bilimin en bilinen özelliği olarak göze çarpan nesnellik kavramı ve düşüncesine yönelik kavramsal bir belirlemenin ardından kültür ve değer gibi sosyolojik unsurların bilimsel objektifliğin ayrılmaz bir parçası olduğu argümanı, Popper ve Kuhn’un çalışmaları göz önünde bulundurularak serimlenecektir. (shrink)

Bilimsel faaliyetin ve bilimsel bilginin en temel özelliklerinden bir tanesi olarak karşımıza çıkan bilimsel nesnellik bilim felsefesi alanı içerisinde sıklıkla tartışılan bir konu olagelmiştir. Bu doğrultuda, bilimsel nesnelliğin temin edilmesine yönelik çeşitli görüşler ileri sürülmektedir. Genel olarak bilimsel nesnellik bilim insanlarının çalışmalarında olguları doğrudan yansıtması ya da bilim insanlarının çalışmalarını tarafsız bir bakış açısıyla tamamlaması olarak anlaşılmaktadır. Bu görüşlerin bilim felsefesi içerisindeki yansımaları sırasıyla olgulara bağlılık olarak nesnellik ve hiçbir yerden bakış olarak nesnellik isimleriyle olmuştur. Bu bakış açısı, kişisel çıkarların (...) ve değerlerin bilimsel çalışmalardan izole edilmesi sayesinde bilimsel nesnelliğin sağlanabileceğini kabul etmektedir. Diğer bir deyişle, bilimler değerlerden bağımsız olduğu takdirde nesnel olabilmektedirler. Bu görüşe karşı olarak, Helen Longino gibi bilim insanları ise değerleri bilimsel nesnelliğin bir gerekliliği olarak görmektedirler. Bu çalışmada, özellikle değerlerin göz ardı edilmesiyle bilimsel nesnelliğin gerçekleştirilmesinin mümkün olamayacağını vurgulan Helen Longino’nun “bağlamsal deneycilik” olarak bilinen görüşlerine yer verilmektedir. Buna göre Longino, bilimsel araştırmanın toplumsal yönlerini göz önünde bulundurarak değerden bağımsız ideali tamamen reddetmektedir. O değer yüklü bir bilimin hem bilgi kuramsal açıdan hem de nesnellik açısından güvenilir olabileceğini düşünmektedir. -/- Scientific objectivity, which is one of the most basic features of scientific activity and scientific knowledge, is a subject that is frequently discussed in the field of philosophy of science. In this direction, various views are put forward to ensure scientific objectivity. In general, scientific objectivity is understood as scientists reflecting the facts as they are in their studies or scientists completing their studies with an impartial point of view. The reflections of these views in the philosophy of science were respectively called objectivity as faithfulness to facts and objectivity as a view from nowhere. This perspective recognizes that scientific objectivity can be achieved by isolating personal interests and values from scientific studies. In other words, sciences can only be objective if they are value-free. Against this view, scientists such as Helen Longino see values as a necessity of scientific objectivity. In this study, Helen Longino's views known as "contextual empiricism" are included. Accordingly, it is emphasized that it is not possible to realize scientific objectivity by ignoring values. Longino completely rejects the value-free ideal, considering the social aspects of scientific research. She thinks that a value-laden science can be reliable both in terms of epistemology and objectivity. (shrink)

One of the main purposes of science is to explain natural phenomena by increasing our understanding of the physical world and to make predictions about the future based on these explanations. In this context, scientific theories can be defined as large-scale explanations of phenomena. In the historical process, scientists have made various choices among the theories they encounter at the point of solving the problems related to their fields of study. This process, which can be called ‘theory choice’, is one (...) of the most debated issues in the field of philosophy of science in the twentieth century, because this discussion is a very comprehensive problem because it includes important issues such as the use of logical arguments and the determination of the scientific method. At the point of solving this problem, members of the Vienna Circle and Karl Popper think that an objective criterion can be determined by which scientists can apply for theory choice. While the Vienna Circle emphasizes that the best-confirmed theory should be chosen among competing theories, Popper states that competing theories or theories should be tested ruthlessly with appropriate methods, and that successful or corroborated theories should be selected as a result of these tests. Contrary to these views Kuhn states that there are some non-obligatory subjective elements that scientists should follow at the point of theory choice. Accordingly, in this study, the problem of how scientists make their choices among competing theories will be discussed by highlighting Kuhn’s arguments regarding the subjective nature of theory selection. (shrink)

Bilimi ve bilimsel bilgiyi kültür, değer ve öznel yargılardan izole ederek nesnel bir şekilde ortaya koyabilmeye yönelik hararetli tartışmaların yaşandığı yirminci yüzyıl bilim anlayışının temel gayesi, deney ve gözleme tabi olabilecek fiziki dünyadaki olguları, mantıksal çözümlemeye tabi tutarak birleştirilmiş bilime ulaşmaktır. Bu amaca giden yolda olgulara dayanmayan ve sınanamayan her türlü metafizik öge yok sayılır. Bilimsel bilginin sadece deney ve gözleme tabi olana, diğer bir deyişle olgu verilerine dayandığı iddiasını taşıyan bu düşünce sistemi, özellikle Viyana Çevresi üyeleri tarafından benimsenmiştir. Bu (...) bakımdan Çevre üyelerinin bilimsellik anlayışındaki temel ölçüt olgulara dayanan önermelerin ya da yargıların doğrulanabilmesidir. Bilimsel bilginin sadece olgusal dünyanın gözlemlenmesi ve bu gözlem sonucunda ortaya konulan önermelerin ya da ifadelerin doğrulanmasıyla sağlandığını düşünen Çevre üyelerinin bu savlarındaki amacı bilimi ve onun bilgisini her türlü kültür ve değer alanından uzaklaştırarak metafiziksel unsurlardan arındırılmış nesnel bilgiye ulaşmaktır. Çevre üyelerinin birçoğu bilim alanı içerisinde tartışmaya yol açan meselelerin aslında metafiziksel içerikli ve dolayısıyla bunların görünüşte problemler olduğunu belirterek bu tartışmaların bilimsel bilginin gelişimi önünde bir engel oluşturacağı kanaatindedir (Hızır, 1965, s. 254). Söz gelimi, Carnap’a göre, metafizik ögeler olgusal içeriğe sahip olmadığı ve sınanabilir nitelikte olmadıkları için bilim alanı içerisinde değerlendirilemez. Bu nedenle, metafizik ögeler hem doğrulanması mümkün olmadığı hem de dilin mantıksal dizimine genellikle uymadığı gerekçesiyle anlamsızdır (Öztürk, 2011, s. 155). Bu bakımdan Çevre üyelerine göre, olgulara dayanmayan ve bilimde yanılsamalara yol açan metafizik söylemler bilimden ayıklanmalı ve bilimsel bilgi ancak olgu ve deneye dayanan önermeler üzerinden yürütülmelidir. Öte yandan Çevre düşünürleri mantıksal çözümleme yoluyla olgulara dayanan önermelerin metafiziksel unsurlar içeren önermelerden ayırt edilebileceğini ifade etmiştir. Bu bağlamda metafizik önermeleri, metafizik olmayan önermelerden ayırt edecek ölçütün doğrulanabilirlik olduğunu savunurlar. Çevre üyelerinin bu tutumları bir bakıma bilim ve sözde bilim arasında ayrım yapma ve metafiziği bilimin dışında tutma çabası olarak da değerlendirilebilir (Kabadayı, 2011, s. 39-40). Yirminci yüzyıl bilim anlayışında bilimsel etkinlikte gözlemin ve gözlemi yürüten bilim insanlarının dolaysız öznel duyu verileriyle ilişkili olduğu bu nedenle gözlem verilerinin psikolojizmin etkisinde olduğu fikri ortaya atılır. Başta Neurath olmak üzere dönemin bilim felsefecileri bilimsel bilginin kültür, değer ve psikoloji gibi öznel unsurlardan uzaklaştığı sürece değerli olduğu kanısında olduğu için bu fikre karşı çıkmaktadır (Gillies, 2018, s. 123). Görüldüğü üzere, Çevre üyelerinin temel amacı metafizik önermelerden arındırılmış, olgulara dayanan bir bilime ulaşmaktır. Bu amacın gerçekleşmesine olanak sağlayacak yöntem ise mantıksal çözümlemedir. Bu bağlamda Çevre üyeleri olgulara dayanan ve doğrulanabilen önermelerin, söz dizimi (sentaks) ve anlamsal (semantik) açıdan incelemeye tabi tutulması gerektiğini düşünmektedir (Yardımcı, 2018, s. 13-15). Özellikle Carnap (1935, s. 9-10) doğrulamanın ancak öne sürülen önermenin mantıksal analize tabi tutularak yapılması gerektiğini iddia etmiştir (Irzık, 1962, s. 65). Bununla birlikte, felsefenin işlevi, önermeleri mantıksal analize tabi tutarak yalın hale getirmektir. İşte felsefenin bu yönü Neurath’da bilimin birliği, Carnap’ta ise bilimin sentaksı, yani bilimin mantığı üzerine çalışma anlamına gelir (Hızır, 1965, s. 252). Bilimi, bilim olmayandan ayırma yöntemi olarak kullanılan doğrulama işlemi, teorik bir söylem ve gözlem önermesi arasında yapılan bir işlem olması bakımından mantıksal ve dilsel bir özellik taşır. Buradaki temel sorun ise teorik bir önermenin gözlem önermelerine indirgenebilir nitelikte olması ve gözlem önermelerinin, gözlem ile nasıl ilişki kurduğunu saptamaktır. İşte Viyana Çevresi üyeleri bu ilişkinin protokol önermeleri ile kurulduğu kanaatindedir (Ural, 2012, s. 105-107) çünkü onlara göre; öznelerarası bir bilimin sağlanması için yansız ve anlam karmaşasından arındırılmış bir dil gereklidir (Serin, 2015, s. 55). Bu dil de ancak protokol önermeler aracılığıyla kurulabilir. Bu bağlamda Çevre üyelerinin, metafiziksel ifadeler barındıran önermelerin anlamsızlığı ve bilimleri ortak bir paydada birleştiren fiziksel bir dil oluşturma olmak üzere iki temel hedefinin olduğu söylenebilir (Godfrey-Smith, 2003, s. 25; Salgar, 2012, s. 187). (shrink)

Comparative psychology, the multidisciplinary study of animal behavior and psychology, confronts the challenge of how to study animals we find cute and easy to anthropomorphize, and animals we find odd and easy to objectify, without letting these biases negatively impact the science. In this Element, Kristin Andrews identifies and critically examines the principles of comparative psychology and shows how they can introduce other biases by objectifying animal subjects and encouraging scientists to remain detached. Andrews outlines the scientific benefits of treating (...) animals as sentient research participants who come from their own social contexts and with whom we will be in relationship. With discussions of science's quest for objectivity, worries about romantic and killjoy theories, and debates about chimpanzee cognition between primatologists who work in the field and those in the lab, Andrews shows how scientists can address the different biases through greater integration of the subdisciplines of comparative psychology. (shrink)

English summary: This paper uses research on the COVID-19 pandemic as the backdrop for an accessible discussion of the value and status of science, and of the role of valuesin science. In particular, the paper seeks to debunk three common myths or dogmas about scientific research: (i) that there is such a thing as 'scientific proof' of a theory or hypothesis, (ii) that disagreement is necessarily unhealthy or unnatural in science, (iii) and that personal values play no role in scientific (...) research. (shrink)

Introduction to the Synthese Special Issue on Disagreement in Science.

Some of the most significant policy responses to cases of fraudulent and questionable conduct by scientists have been to strengthen professionalism among scientists, whether by codes of conduct, integrity boards, or mandatory research integrity training programs. Yet there has been little systematic discussion about what professionalism in scientific research should mean. In this paper I draw on the sociology of the professions and on data comparing codes of conduct in science to those in the professions, in order to examine what (...) precisely the model of professionalism implies for scientific research. I argue that professionalism, more than any other single organizational logic, is appropriate for scientific research, and that codes of conduct for scientists should strengthen statements concerning scientific autonomy and competence, as well as the scientific service ideal. (shrink)

This paper articulates and defends three interconnected claims: first, that the debate on the role of values for science misses a crucial dimension, the institutional one; second, that institutions occupy the intermediate level between scientific activities and values and that they are to be systematically integrated into the analysis; third, that the appraisal of the institutions of science with respect to values should be undertaken within the premises of a comparative approach rather than an ideal approach. Hence, I defend the (...) view that the issue be framed in reference to the following question: "What kind of institutional rules should be in place in order for the scientific process to unfold in such a way that the values that we deem more important come to the fore?" Addressing this concern is equivalent to conducting a debate on institutions and their role for science. (shrink)

This chapter offers an overview of the Epicurean conception of philosophy, with special attention to the value of physics. The Epicureans value physics not only for its ability to help remove superstitious beliefs about the gods and death, but also for its ability to stabilize our beliefs and to give causal accounts of ethically-relevant kinds such as pleasure and desire.

Le controversie nosologiche in psichiatria siano orientate da ragioni sia epistemiche che non epistemiche, da questioni di evidenza ma anche di etica e sociologia della scienza, data la presenza di vari programmi di ricerca, di metodologie e anche di agenti differenti che si focalizzano sul problema del disturbo mentale. I due casi qui brevemente considerati, quello della Disposofobia e quello del Disturbo di personalità narcisistica mostrano, assieme al ruolo dell’evidenza empirica, da un lato il peso delle ragioni etiche dei gruppi (...) di pazienti e di quelle culturali della società allargata, dall’altro le dinamiche del consenso tra esperti. Che i disturbi mentali siano o non siano generi naturali, la loro classificazione è un processo razionale complesso che comprende norme e deviazioni dalle norme di diverso tipo. (shrink)

After raising some minor philosophical points about Kevin Elliott’s A Tapestry of Values (2017), I argue that we should expand on the themes raised in the book and that philosophers of science need to pay as much attention to the loom of science (i.e., the institutional structures which guide the pursuit of science) as the tapestry of science. The loom of science includes such institutional aspects as patents, funding sources, and evaluation regimes that shape how science gets pursued, and that (...) attending to these aspects will enable us to provide more robust guidance on the values that infuse the tapestry of science. (shrink)

It is now commonly held that values play a role in scientific judgment, but many arguments for that conclusion are limited. First, many arguments do not show that values are, strictly speaking, indispensable. The role of values could in principle be filled by a random or arbitrary decision. Second, many arguments concern scientific theories and concepts which have obvious practical consequences, thus suggesting or at least leaving open the possibility that abstruse sciences without such a connection could be value-free. Third, (...) many arguments concern the role values play in inferring from evidence, thus taking evidence as given. This paper argues that these limitations do not hold in general. There are values involved in every scientific judgment. They cannot even conceivably be replaced by a coin toss, they arise as much for exotic as for practical sciences, and they are at issue as much for observation as for explicit inference. (shrink)

Understanding science requires appreciating the values it presupposes and its social context. Both the values that scientists hold and their social context can affect scientific communication. Philosophers of science have recently begun studying scientific communication, especially as it relates to public policy. Some have proposed “guiding principles for communicating scientific findings” to promote trust and objectivity. This paper contributes to this line of research in a novel way using behavioural experimentation. We report results from three experiments testing judgments about the (...) trustworthiness, competence and objectivity of scientists. More specifically, we tested whether such judgments are affected by three factors: consulting or not consulting nonscientists, conducting research under a restrictive or non-restrictive governmental communication policy, and the source of a lab’s funding (i.e., government funding, private funding, or a combination of the two). We found that each of these factors affects ordinary judgments of trustworthiness, competence and objectivity. These findings support several recommendations that could help improve scientific communication and communication policies. (shrink)