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)

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)

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)

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)

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)

Scientists are frequently called upon to “democratize” science, by bringing the public into scientific research. One appealing point for public involvement concerns the non-epistemic 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 where scientists can, consistently with a commitment to democratized science, set aside the public’s judgments. (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)

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)

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)

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)

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)

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)

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)

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 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 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. 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 with its epistemic authority. 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)

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

This 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)

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)

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)

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)

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)

The idea that science is or should be value-free, and that values are or should be formed independently of science, has been under fire by philosophers of science for decades. Science and Moral Imagination directly challenges the idea that science and values cannot and should not influence each other. Matthew J. Brown argues that science and values mutually influence and implicate one another, that the influence of values on science is pervasive and must be responsibly managed, and that science can (...) and should have an influence on our values. This interplay, he explains, must be guided by accounts of scientific inquiry and value judgment that are sensitive to the complexities of their interactions. Brown presents scientific inquiry and value judgment as types of problem-solving practices and provides a new framework for thinking about how we might ethically evaluate episodes and decisions in science, while offering guidance for scientific practitioners and institutions about how they can incorporate value judgments into their work. His framework, dubbed "the ideal of moral imagination," emphasizes the role of imagination in value judgment and the positive role that value judgment plays in science. (shrink)

Philosophy and Phenomenological Research, EarlyView.

In a very short time, it is likely that we will identify many of the genetic variants underlying individual differences in intelligence. We should be prepared for the possibility that these variants are not distributed identically among all geographic populations, and that this explains some of the phenotypic differences in measured intelligence among groups. However, some philosophers and scientists believe that we should refrain from conducting research that might demonstrate the (partly) genetic origin of group differences in IQ. Many scholars (...) view academic interest in this topic as inherently morally suspect or even racist. The majority of philosophers and social scientists take it for granted that all population differences in intelligence are due to environmental factors. The present paper argues that the widespread practice of ignoring or rejecting research on intelligence differences can have unintended negative consequences. Social policies predicated on environmentalist theories of group differences may fail to achieve their aims. Large swaths of academic work in both the humanities and social sciences assume the truth of environmentalism and are vulnerable to being undermined. We have failed to work through the moral implications of group differences to prepare for the possibility that they will be shown to exist. (shrink)

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

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)

The proper role of non-epistemic values such as moral, political, and social values in practices of justification of policy-relevant hypotheses has recently become one of the central questions in philosophy of science. This strand of research has yielded conceptual clarifications and significant insight into the complex and notoriously contentious issue of the proper relationship between science, non-epistemic values, and policymaking. A central part of this discussion revolves around whether scientists should aspire for the value-free ideal, according to which non-epistemic values (...) are unacceptable in the justification of hypotheses. By so doing, scientists can... (shrink)

For over 40 years, Mary Midgley made a forceful case for the relevance and importance of philosophy. With characteristic wit and wisdom, she drew special attention to the ways in which our thought influences our everyday lives. Her wide-ranging explorations of human nature and the self; our connections with animals and the natural world; and the complexities of morality, gender, science, and religion all contributed to her reputation as one of the most expansive and compelling moral philosophers of the twentieth (...) century. -/- Mary Midgley: An Introduction is the first substantive introduction to Midgley's influential philosophy on the human condition. -/- This volume, supplemented by original interviews with Midgley, outlines the concepts and perspectives for which she is best known and illuminates the philosophical problems to which she devoted her life's work. -/- Table of Contents -/- 1. Philosophical Plumbing 2. Human Nature and the Self 3. Morality and Wholeness 4. Animals and Why They Matter 5. Our Connection to Nature 6. Gender and Fragmentation 7. Science in Context 8. Religion, Science, and Complexity 9. Afterword: One World, But A Big One -/- Bibliography Index. (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.

Scientific epistemology is a topic that has sparked centuries of philosophical discourse. In particular, understanding the role that scientists play in the creation and perpetuation of scientific knowledge is a subject that continues to be hotly debated. A relative new-comer to scientific epistemology is the field of virtue epistemology, which positions knowledge creation as integrally linked to specific character traits held by the scientist. Positioning scientific research as a distinct practice, virtue epistemologists strive to understand what virtues foster robust knowledge (...) creation. Examinations of current scientific virtue epistemology, however, reveal how framings of “the scientist” tend to be highly individualistic and position the individual scientist as an actor with a high level of agency and autonomy. Such approaches, while following more conventional scientific epistemology discourse, contrast significantly with a growing body of social science literature that emphasizes the group nature of scientific research and education. This paper makes use of this social science literature to critically examine current deficits in narratives of scientific virtue epistemology. It highlights the need for the prioritization of virtues that enable scientists to work and learn in social environments through social processes. In particular, it discusses how the virtue of docility, best understood as being “open to learning”, is a key virtue for training new scientists and for establishing robust processes of knowledge creation. By identifying current deficits in the manner in which science is taught, it demonstrates the considerable epistemic consequences of training scientists who do not embody docility in all aspects of their research activities. The paper concludes by discussing how docility may be considered a key factor in an alternate understanding of the current reproducibility crisis in modern science. (shrink)

Democracy hinges on the personal and civic decision-making capabilities of publics. In our increasingly technoscientific world, being well-informed requires an understanding of science. Despite acknowledging public understanding of science as an important part of being well-informed, publics’ engagement with science remains limited. I argue that part of publics’ disengagement with science is because information transmitted about science, like science itself, has been decontextualized. Though there are many ways to decontextualize information, obscuring values in science is a popular means of doing (...) so. Due to the ubiquitous nature of values, science misrepresented as ‘value-free’ will be the focus of my decontextualization critique. Epistemic values and non-epistemic values are the sorts of values that have been misrepresented by views like the value-free ideal. The VFI is the idea that non-epistemic values should not play a role in the evaluation of evidence and has been heavily criticized on practical and normative grounds. This has led to alternatives to the VFI being proposed, including ways for non-epistemic values to be included in the evaluation of evidence. In a yet to be explored implication of the VFI, I argue that models of science education and communication that accommodate the VFI have been popularized as a way to reinforce decontextualization. These models describe science and publics with only a minimal account of values, leading me to challenge them on practical and normative grounds since communicating science as ‘value-free’ is misrepresentative, and from a normative perspective undesirable, especially as including values can help engage publics. In response, I advocate for value-conscious descriptions of science instead. To catalyze this contextualization, I introduce key aspects for understanding values in science and call them the ‘KAUVIS’. By using a basis of transparency between scientists and publics, the KAUVIS provides a means to describe how values interact with science without dictating which values are the correct ones. The KAUVIS includes descriptions of the roles values take on, how values relate to the goals of research, and considers epistemic and ethical values. Hence, the KAUVIS can more accurately represent science than the VFI, and in so doing, contextualizes information about science in relation to research goals and social needs, making science more engaging. By developing the KAUVIS to describe values, I also show that traditional information transmission models are maladapted to conveying the true value- laden nature of science. As a consequence, I examine more value-conscious communication models which I show to be enhanced by the descriptive detail of the KAUVIS. However, unveiling the inner workings of values in science may also have negative consequences for how publics interpret and engage with science. After all, exposing values in science can lead to further dispute about science. Hence, the KAUVIS opens up questions like, what is lost by divulging values in science? My initiatory examination of the drawbacks of being explicit about values will uncover that even though there is a risk that publics may reject scientific claims, an understanding of values in science is desirable for decision-making and deliberation. In other words, a description of values can serve to clarify how they are being used, and help define what it is we are in disagreement about. Thus, by more accurately representing science and values, we might strengthen democracy by better providing publics the contextualized information they need for science to be of service. (shrink)

Scientific evidence and scientific values under risk and uncertainty are strictly connected from the point of view of Peirce’s pragmaticism. In addition, economy and statistics play a key role in both choosing and testing hypotheses. Hence we may show also the connection between the methodology of the economy of research and statistical frequentism, both originating from pragmaticism. The connection is drawn by the regulative principles of synechism, tychism and uberty. These principles are values that have both epistemic and non-epistemic dimension. (...) They concern both the decisions to test a hypothesis as well as inductive risk. The validity of this result stems from the values cost–benefit analysis imposes on scientific inquiry. Values associated with the economy of research are important not only in the pre-test phases of generating hypotheses but also when hypotheses are effectively tested. Peirce took these economic considerations to leave room for an interpretation of probability which is not only a frequentist and propensity-theoretic but also a conceptualist one referring to degrees of belief. We show that this leeway nonetheless agrees with the theory of the economy of scientific methods. (shrink)

The aim of the paper is to clarify the concept of scientific ignorance: what is it, what are its sources, and when is it epistemically detrimental to science. While some sources of scientific ignorance come inevitably with the process of knowledge acquisition, others are deliberately created. The former includes selection processes, inductive reasoning, and cognitive biases, while the latter includes scientific fraud. Another important source of scientific ignorance appears when scientists introduce methodological biases through micro-decisions in the research process. I (...) provide three examples from medical research to illustrate this point. I argue further that methodological biases present a challenge, in so far as they are no easily classifiable as deliberate: they might also be the result of entrenched research practices within a scientific community. Strategies to identify and prevent methodological biases in research should take into account such difference. (shrink)

ABSTRACTThis paper re-interprets the precautionary principle as a ‘social epistemic rule’. First, it argues that sometimes policy-makers should act on claims which have not been scientifically established. Second, it argues that, given how scientists ought to solve ‘inductive risk’ problems, such guidance is required not only under actual conditions, but under any plausible conditions. Third, it suggests that procedural fairness may provide policy-makers with reasons to be very reluctant to act on claims which are not scientifically established. The restriction of (...) precautionary reasoning to contexts of significant environmental or public health disaster may respond to this problem. (shrink)

This article argues that the controversy over genetically modified crops is best understood not in terms of the supposed bias, dishonesty, irrationality, or ignorance on the part of proponents or critics, but rather in terms of differences in values. To do this, the article draws on and extends recent work of the role of values and interests in science, focusing particularly on inductive risk and epistemic risk, and it shows how the GMO debate can help to further our understanding of (...) the various epistemic risks that are present in science and how these risks might be managed. (shrink)