Some debates about the role of non-epistemic values in science discuss the so-called Value-Free Ideal together with the autonomy thesis, to the point that they may be assumed to be intertwined. As I will argue in this article, the two are independent from one another, are supported by different arguments, and ought to be disentangled. I will also show that the arguments against value-freedom and supporting a value-laden conception of science, are different from the arguments (...) against autonomy, which support democratized science. Moreover, while some of the arguments against autonomy and for democratized science may actually be consistent with value-freedom, they conflict with some philosophical views about the internal diversity of well-designed epistemic communities. This article distinguishes the Value-Free Ideal and the autonomy thesis, as well as their antitheses, and investigates their relations to some of the socio-epistemological models of the social organization of scientific research. Its aim is to make explicit some incompatibilities between different normative frameworks developed in philosophy of science. (shrink)

Even if the “value-free ideal of science” (VFI) were an unattainable goal, one could ask: can it be a useful fiction, one that is beneficial for the research community and society? This question is particularly crucial for scholars and institutions concerned with research integrity (RI), as one cannot offer normative guidance to researchers without making some assumptions about what ideal scientific research looks like. Despite the insofar little interaction between scholars studying RI and those working on (...) values in science, the overlap of topics and interests make collaboration between the two fields promising for understanding research and its ethics. Here, we identify—for the use of RI scholars—the non-epistemic reasons (societal, political, professional) for and against the VFI considered in the literature. All of these are concerned with the beneficial or detrimental consequences that endorsing the VFI would have on society, policy-making, or the scientific community, with some authors appealing to the same principles to argue for opposite positions. Though most of the reviewed articles do not endorse the VFI, it is generally agreed that some constraints have to be put on the use of non-epistemic values. Disagreement on the utility of the VFI lies both on the different epistemic-descriptive positions taken by different authors, and on the scarcity of relevant empirical studies. Engaging critically with the reasons here identified and more in general with the values in science debate will help the RI community decide whether the VFI should be included in future codes of conduct. (shrink)

While the debate on values in science focuses on normative questions on the level of the individual (e.g. should researchers try to make their work as value free as possible?), comparatively little attention has been paid to the institutional and professional norms that researchers are expected to follow. To address this knowledge gap, we conduct a content analysis of leading national codes of conduct for research integrity of European countries, and structure our analysis around the question: do these (...) documents allow for researchers to be influenced by “non-epistemic” (moral, cultural, commercial, political, etc.) values or do they prohibit such influence in compliance with the value-free ideal (VFI) of science? Our results return a complex picture. On the one hand, codes of conduct consider many non-epistemic values to be a legitimate influence on the decision-making of researchers. On the other, most of these documents include what we call _VFI-like positions_: passages claiming that researchers should be free and independent from any external influence. This shows that while many research integrity documents do not fully endorse the VFI, they do not reject it and continue to be implicitly influenced by it. This results in internal tensions and underdetermined guidance on non-epistemic values that may limit some of the uses of research integrity codes, especially for purposes of ethical self-regulation. While codes of conduct cannot be expected to decide how researchers should act in every instance, we do suggest that they acknowledge the challenges of how to integrate non-epistemic values in research in a more explicit fashion. (shrink)

In a recent paper, Gregor Betz has defended the value-free ideal: “the justification of scientific findings should not be based on non-epistemic values”against the methodological critique, by reference to the work of the International Panel on Climate Change . This paper argues that Betz’s defence is unsuccessful. First, Betz’s argument is sketched, and it is shown that the IPCC does not avoid the need to “translate” claims. In Section 2, it is argued that Betz mischaracterises the force (...) of the methodological critique. Section 3 shows why the methodological critique still applies to the work of the IPCC even on a refined version of Betz’s argument. Section 4 then considers an alternative way of defending the work of the IPCC which is in-line with, but does not clearly vindicate, the value-free ideal. (shrink)

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

The ideal of value free science states that the justification of scientific findings should not be based on non-epistemic (e.g. moral or political) values. It has been criticized on the grounds that scientists have to employ moral judgements in managing inductive risks. The paper seeks to defuse this methodological critique. Allegedly value-laden decisions can be systematically avoided, it argues, by making uncertainties explicit and articulating findings carefully. Such careful uncertainty articulation, understood as a methodological strategy, is (...) exemplified by the current practice of the Intergovernmental Panel on Climate Change (IPCC). (shrink)

과학의 가치중립성은 오랫동안 좋은 과학 활동의 이상으로 간주되어 왔다. 그러나 과학적 추론에 내재한 귀납적 위험과 그에 따르는 실천적 귀결들에 대한 고려는 과학의 가치중립성 이상을 비판하는 논증에서 가장 중요한 근거로 기능해왔다. 과학에서 비인식적 가치의 적법한 역할을 주장하는 “귀납적 위험으로부터의 논증”의 핵심은 다음과 같다. 과학자들은 가설을 수용하거나 거부하는 결정을 내리는데, 그 결정이 잘못되었을 경우 비인식적, 실천적 함의를 가질 수 있기 때문에, 과학자들은 가설을 수용하거나 거부할 때 이러한 가치들을 고려할 필요가 있다. 최근 여러 연구자들은 이러한 귀납적 위험으로부터 논증에 반대하면서, 대안적인 과학의 이상을 제안해왔다. (...) 나는 이 글에서 제프리식 이상과 시지프스식 이상을 통해 대안적인 형태의 가치중립성 이상을 주장하는 철학적 논변들을 검토하고, 어느 쪽도 효과적인 반론을 제시하지 못하였다고 주장한다. 따라서 귀납적 위험으로부터의 논증은 여전히 과학의 가치중립 이상을 비판하는 가장 강력한 논증이다. (shrink)

The aim of this article is to argue that ontological choices in scientific practice undermine common formulations of the value-free ideal in science. First, I argue that the truth values of scientific statements depend on ontological choices. For example, statements about entities such as species, race, memory, intelligence, depression, or obesity are true or false relative to the choice of a biological, psychological, or medical ontology. Second, I show that ontological choices often depend on non-epistemic values. On (...) the basis of these premises, I argue that it is often neither possible nor desirable to evaluate scientific statements independently of non-epistemic values. Finally, I suggest that considerations of ontological choices do not only challenge the value-free ideal but also help to specify positive roles of non-epistemic values in an often neglected area of scientific practice. (shrink)

Douglas proposes a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, protecting the integrity and objectivity of science.

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

A small but growing body of philosophically informed survey work calls into question whether the value-free ideal is a dominant viewpoint among scientists. However, the survey instruments in used in these studies have important limitations. Previous work has also made little headway in developing hypotheses that might predict or explain differing views about the value-free ideal among scientists. In this article, we review previous survey work on this topic, describe an improved survey instrument, report (...) results from an initial administration of it that strengthen and refine previous results, and develop two hypotheses that may account for gender effects found in the data. (shrink)

According to Richard Jeffrey’s value-free ideal, scientists should avoid making value judgments about inductive risks by offering explicit representations of scientific uncertainty to decision-makers, who can use these to make decisions according to their own values. Some philosophers have responded by arguing that higher-order inductive risks arise in the process of producing representations of uncertainty. This chapter explores this line of argument and its limits, arguing that the Jeffreyan value-free ideal is achievable in (...) contexts where methodological decisions introduce minimal higher-order uncertainty and where communications of uncertainty are unlikely to be manipulated or misunderstood by scientists or decision-makers. This chapter illustrates the limits of the Jeffreyan ideal with reference to climate science and argues that the context of climate science is not conducive to the Jeffreyan ideal, so the argument that climate modeling is value-laden due to higher-order inductive risks withstands recent criticisms. (shrink)

Philosophers of science debate the proper role of non-epistemic value judgements in scientific reasoning. Many modern authors oppose the value free ideal, claiming that we should not even try to get scientists to eliminate all such non-epistemic value judgements from their reasoning. W. E. B. Du Bois, on the other hand, has a defence of the value free ideal in science that is rooted in a conception of the proper place of science (...) in a democracy. In particular, Du Bois argues that the value free ideal must be upheld in order to, first, retain public trust in science and, second, ensure that those best placed to make use of scientifically acquired information are able to do so. This latter argument turns out to relate Du Bois’ position on the value free ideal in science to his defence of epistemic democracy. In this essay I elaborate, motivate, and relate to the modern debate, Du Bois’ under-appreciated defence of the value free ideal. (shrink)

While the Value-Free Ideal (VFI) had many precursors, it became a solidified bulwark of normative claims about scientific reasoning and practice in the mid-twentieth century. Since then, it has played a central role in the philosophy of science, first as a basic presupposition of how science should work, then as a target for critique, and now as a target for replacement. In this paper, we will argue that a narrow focus on the VFI is misguided, because the (...) VFI coalesced in the midst of other important shifts in the relationship between science and society. In particular, the mid-twentieth century saw the acceptance of the “social contract for science,” a tacit agreement between scientists and government officials, and more broadly between science and society. It was built around three core concepts: a distinction between basic and applied science, a conception of scientific freedom that limited social responsibility for scientists, and a justification for public funding of basic science in the form of the linear model. Within the conceptual framework of the social contract for science, it is clearer both (1) why the VFI was adopted, (2) why it is difficult to replace the VFI within the old social contract, and (3) how we need to revise the social contract for science in order to replace the VFI. (shrink)

Publics trust experts for personal and pro-social reasons. Scientists are among the experts publics trust most, and so, epistemic trust is routinely afforded to them. The call for epistemic trust to be more socially situated in order to account for the impact of science on society and public welfare is at the forefront of enhanced epistemic trust. I argue that the value-free ideal for science challenges establishing enhanced epistemic trust by preventing the inclusion of non-epistemic values throughout (...) the evaluation of evidence and communication of these values. By selectively silencing non-epistemic values, the ideal cannot take into account publics’ social and moral responses to inductive risk, which are instrumental for defining and determining public welfare. Furthermore, by emphasising epistemic values almost exclusively in science education and communication, the value-free ideal is presented to publics in such a way that it becomes a social indicator of trust. I show this through examination of the importance of values in decisions to trust, and conclude that values (and restrictions on them) can be used by lay publics to help decide which experts to trust. (shrink)

This paper examines one aspect of the legacy of the Value-Free Ideal in conservation science: the view that measurements and metrics are value-free epistemic tools detached from ideological, ethical, social, and, generally, non-epistemic considerations. Contrary to this view, I will argue that traditional measurement practices entrenched in conservation are in fact permeated with non-epistemic values. I challenge the received view by revealing three non-epistemic assumptions underlying traditional metrics: (1) a human-environment demarcation, (2) the desirability of (...) a people-free landscape, and (3) the exclusion of cultural diversity from biodiversity. I also draw a connection between arguments for retaining traditional metrics to “scientific colonialism,” exemplified by a fortress conservation model. I conclude by advocating for abandoning the myth of the intrinsic value-freedom of measurement practices and embracing metrics aligned with societal and scientific goals. (shrink)

In recent years, the value-freeness of science has come under extensive critique. Early objectors to the notion of value-free science can be found in Rudner and Churchman, later objections occur in Leach and Gaa, and more recent critics are Kitcher, Douglas, and Elliott. The goal of this paper is to examine and critique two arguments opposed to the notion of a value-free science. The first argument, the uncertainty argument, cites the endemic uncertainty of science and (...) concludes that values are needed to give direction to scientific investigation. The second, or moral argument, cites the fact that scientists have moral obligations just like everyone else, and.. (shrink)

"It has long been thought that science is our best hope for realizing objective knowledge, but that, to deliver on this promise, it must be free of the influence of any values that are not purely epistemic. As recent work in philosophy, history, and social studies of science shows, however, things are not so simple. The contributors to this volume ask where and how nonepistemic values are involved in science; they explore the roles these values play at the heart (...) of science, in the assessment of evidence and explanations, and they examine the implications this has for ideals of objectivity."--BOOK JACKET. (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)

In this book Heather Douglas argues that widespread acceptance of the value-free ideal for science adversely affects the way science is used in policy making. The book is about an important issue. It is clearly written, and is a pleasure to read. I must confess, however that, as the author of at least four books that cover some of the same ground, and in many ways develop the argument much further than the author does here, I was (...) disappointed to find my work entirely ignored -- as other authors may be too, whose work is also ignored. (shrink)

El presente trabajo aborda el ideal de la ciencia libre de valores extra epistémicos. Al respecto, se sitúa la discusión en el marco de autores que adscriben al denominado pluralismo científico, quienes, por lo general, tienen una postura más proclive a aceptar la influencia de valores extra epistémicos en las ciencias, tales como valores morales, políticos y sociales. En particular, se somete a revisión la postura de Helen Lóngino, Heather Douglas y John Dupré, analizando si le son o no (...) aplicables las críticas desarrolladas fundamentalmente por Hugh Lacey, quien, siendo pluralista, sigue sosteniendo el ideal de la ciencia libre de valores. Se concluye que existen buenos argumentos que apoyan la influencia de valores extra epistémicos en las ciencias; sin embargo, su extensión puede ser objeto de debate o bien matizada. Al respecto, se toma posición por la postura de John Dupré, la cual reconoce que en ciertos ámbitos de las ciencias–como la física de partículas- no existe una carga extra epistémica. Asimismo, se concluye que, aunque el ideal de una ciencia completamente libre de valores debe ser rechazado, puede tener alguna relevancia en tanto ideal regulativo, imponiendo esta versión un mayor desafío para las posturas que procuran refutar el ideal en cuestión. (shrink)

Against the ideal of value-free science I argue that science is not––and cannot be––value-free and that relevant values are both cognitive and moral. I develop an argument by indicating various aspects of the value-ladenness of science. The recognition of the value-ladenness of science requires rethinking our understanding of the rationality and responsibility of science. Its rationality cannot be seen as merely instrumental––as it was seen by the ideal of value-free science––for (...) this would result in limiting the autonomy of science and reducing scientists to “minds to hire”. The scientific rationality must be seen as practical rationality which takes into account the full horizon of values. The scientific responsibility must also be broaden in scope and type. On this basis I draw three practical conclusions concerning the organization of research and training of young scientists, appealing to Plato’s claim that those most capable of healing are also those most capable of harming. (shrink)

In this paper I shall defend the idea that there is an abstract and general core meaning of objectivity, and what is seen as a variety of concepts or conceptions of objectivity are in fact criteria of, or means to achieve, objectivity. I shall then discuss the ideal of value-free science and its relation to the objectivity of science; its status can be at best a criterion of, or means for, objectivity. Given this analysis, we can then (...) turn to the problem of inductive risk. Do the value judgements regarding inductive risk really pose a threat to the objectivity of science? I claim that this is not the case because they do not lower the thresholds scientifically postulated for objectivity. I shall conclude the paper with a discussion of under-appreciated influences of values on science, which indeed pose a serious threat to the objectivity of some scientific disciplines. (shrink)

There is a near consensus among philosophers of science whose research focuses on science and values that the ideal of value-free science is untenable, and that science not only is, but normatively must be, value-laden in some respect. The consensus is far from complete; with some regularity, defenses of the value-free ideal (VFI) as well as critiques of major arguments against the VFI surface in the literature. I review and respond to many of (...) the recent defenses of the VFI and show that they generally fail to meet the mark. In the process, I articulate what the current burden of argument for a defense of the VFI ought to be, given the state of the literature. (shrink)

As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments from (...) feminist philosophy of science to machine learning programs to make the case that the resources required to respond to these inductive challenges render critical aspects of their design constitutively value-laden. I demonstrate these points specifically in the case of recidivism algorithms, arguing that contemporary debates concerning fairness in criminal justice risk-assessment programs are best understood as iterations of traditional arguments from inductive risk and demarcation, and thereby establish the value-laden nature of automated decision-making programs. Finally, in light of these points, I address opportunities for relocating the value-free ideal in machine learning and the limitations that accompany them. (shrink)

What makes science trustworthy to the public? This chapter examines one proposed answer: the trustworthiness of science is based at least in part on its independence from the idiosyncratic values, interests, and ideas of individual scientists. That is, science is trustworthy to the extent that following the scientific process would result in the same conclusions, regardless of the particular scientists involved. We analyze this "idiosyncrasy-free ideal" for science by looking at philosophical debates about inductive risk, focusing on two (...) recent proposals which offer different methods of avoiding idiosyncrasy: the high epistemic standards proposal and the democratic values proposal. (shrink)

The value-free ideal for science prohibits noncognitive values from influencing the practice of science. After all, a scientist should not reject an empirical theory on religious grounds. But while motivated by reasonable concerns, VFI overlooks legitimate roles for noncognitive values in science. Contra VFI, Hugh Lacey explains that noncognitive values can promote scientific aims by grounding new methodologies that may lead to novel theories and extend to new domains. Yet, Lacey agrees with one aspect of VFI: noncognitive (...) values should not serve as grounds in the empirical evaluation of theories. This has led some critics to misidentify his view merely as an updated version of VFI. I argue that views of the kind Lacey endorses, which I call Dialectical Empiricism, deserve further investigation. They capture what VFI gets right; but they also show that noncognitive values are essential to good science. Throughout the dissertation I explore variants of DE, demonstrating its potential and flexibility. Furthermore, I defend DE against its critics, especially those who mistake it for a version of VFI. In stark opposition to VFI, DE reveals how the illusion of value-freedom sometimes blinds us to promising alternatives to mainstream scientific approaches. I demonstrate this by applying the framework of DE to contemporary research in agricultural and nutritional science. These case studies show that noncognitive values really do influence scientific practices. And, most importantly, they demonstrate how embracing a value-laden view of science can open our eyes to promising alternative approaches that may have the potential to increase our knowledge of the world and of possibilities for human flourishing. (shrink)

Despite the conclusions from the contemporary philosophy of science, many economists cherish the ideal of positive science. Therefore, value-free economics is still the central paradigm in economics. The first aim of the paper is to investigate economics' axiomatic assumptions from an epistemological perspective. The critical analysis of the literature shows that the positive-normative dichotomy is exaggerated. Moreover, value-free economics is based on normative foundations that have a negative impact on individuals and society. The paper's second (...) aim is to show that economics' normativity is not a problem because the discussion concerning values is possible and unavoidable. In this context, Weber and other methodologists are investigated. The conclusion of the paper is that science can thrive without strict methodological rules thanks to institutional mechanisms. Therefore, economists could learn from artists who accept the world without absolute rules. This perspective opens the possibility for methodological pluralism and normative approaches. (shrink)

Many philosophers of science have maintained that science should be value-free; still others believe that such ideal is neither achievable nor desirable for science. Hugh Lacey is presently one of the main supporters of the idea of value-free science and his theory is probably the most debated today and attracts the most attention and criticism. Therefore, in this text, I will primarily analyze his theory of value-free science. After briefly defining the notion of (...) value I highlight which strategy Lacey chooses to lay a firm foundation for the concept of science without value, with his starting point being the differentiation between cognitive and non-cognitive values. Then I describe three basic characteristics of Lacey’s value-free science: impartiality, neutrality, and autonomy. However, the overall plan and design of his project, together with some concrete steps he takes, are not without problems in our view. I will try to point out some of these problematic issues and provide brief suggestions for alleviating them. (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)

A popular view in philosophy of science contends that scientific reasoning is objective to the extent that the appraisal of scientific hypotheses is not influenced by moral, political, economic, or social values, but only by the available evidence. A large body of results in the psychology of motivated-reasoning has put pressure on the empirical adequacy of this view. The present study extends this body of results by providing direct evidence that the moral offensiveness of a scientific hypothesis biases explanatory judgment (...) along several dimensions, even when prior credence in the hypothesis is controlled for. Furthermore, it is shown that this bias is insensitive to an economic incentive to be accurate in the evaluation of the evidence. These results contribute to call into question the attainability of the ideal of a value-free science. (shrink)

The boundaries of social categories are frequently altered to serve normative projects, such as social reform. Griffiths and Khalidi argue that the value-driven modification of categories diminishes the epistemic value of social categories. I argue that concerns over value-modified categories stem from problematic assumptions of the value-free ideal of science. Contrary to those concerns, non-epistemic value considerations can contribute to the epistemic improvement of a scientific category. For example, the early history of the (...) category infantile autism shows how non-epistemic value considerations can contribute to delimiting and establishing infantile autism as a distinct category in mainstream psychiatry. In the case of infantile autism, non-epistemic considerations have led to a new interpretation of existing data, the expansion of research to include biology, and the creation of diagnostic criteria that further contribute to collecting relevant data. Given this case study, it can be argued that non-epistemic values can improve our knowledge of scientific categories. (shrink)

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)

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)

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