These are some of the central questions that Robert Proctor addresses in his study of the politics of modern science.

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)

Among other things, the philosophical tradition of pragmatism provides a theory of inquiry and a theory of collective action. The theory of inquiry frames how humans investigate their problems and devise solutions; the theory of collective action frames how we work together to implement solutions to shared problems. Though philosophical, pragmatism aims to integrate philosophy and practice by developing theory that is useful for solving the problems that press on people’s lives. In spite of this intention, and perhaps because of (...) disciplinary boundaries, practitioners in the social sciences, sciences, and professions do not always see pragmatism as being as relevant and useful as philosophers have hoped and.. (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)

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)

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)

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)

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 present paper discusses the claim that value-free science is impossible. After applauding the observation of Colombo et al. Review of Philosophy and Psychology 7: 743–763, that this is at least to a considerable extent a psychological question, and should therefore be studied using the methods of psychological science, the studies performed by these authors were examined and unfortunately found seriously wanting in various respects. Beyond the merits or demerits of that particular piece of work, the (...) discussion lead to a conclusion likely relevant to the entire discussion about the alleged impossibility of value-free science: Showing the impossibility of value-free science would entail at least a) defining what the term science is intended to cover, b) providing high level evidence that few if any scientists in the relevant area are immune to non-epistemic influences, c) that these influences meaningfully bias the results of science, d) that there is no way to correct for these influences, and e) explain why – unlike epistemic appraisal in science – the epistemic appraisal of this argument can be trusted. (shrink)

The present paper discusses the claim that value-free science is impossible. After applauding the observation of Colombo et al. Review of Philosophy and Psychology 7: 743–763, that this is at least to a considerable extent a psychological question, and should therefore be studied using the methods of psychological science, the studies performed by these authors were examined and unfortunately found seriously wanting in various respects. Beyond the merits or demerits of that particular piece of work, the (...) discussion lead to a conclusion likely relevant to the entire discussion about the alleged impossibility of value-free science: Showing the impossibility of value-free science would entail at least a) defining what the term science is intended to cover, b) providing high level evidence that few if any scientists in the relevant area are immune to non-epistemic influences, c) that these influences meaningfully bias the results of science, d) that there is no way to correct for these influences, and e) explain why – unlike epistemic appraisal in science – the epistemic appraisal of this argument can be trusted. (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 (...) class='Hi'>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)

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)

Exploring the role of values in scientific inquiry, Hugh Lacey examines the nature and meaning of values, and looks at challenges to the view, posed by postmodernists, feminists, radical ecologists, Third-World advocates and religious fundamentalists, that science is value free. He also focuses on discussions of 'development', especially in Third World countries. This paperback edition includes a new preface.

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)

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)

It is often claimed that science should be "value-free in that ethical, political, and social values have no legitimate role in the justification of scientific theories. Although such values may influence which hypotheses are pursued, or whether some application of scientific theories is desirable, they play no legitimate role in scientific reasoning. ;I argue against the view that all science ought to be value-free. Examining a range of cases from biology, epidemiology, pathology, and atmospheric (...) sciences I show that ethical and political values can operate in cases widely agreed to be "good science." Drawing on recent work by Helen Longino and Phillip Kitcher, I argue that in many research contexts the goals of scientific research cannot be separated from ethical and political interests. As a result, there are at least four ways ethical and political value judgments can play a legitimate role in the justification of scientific theories. First, in certain research contexts, ethical and political values help justify and apply criteria for theory choice . Second, ethical and political aims of inquiry can give scientists reason to adopt conceptual frameworks that contain ethical or political normative content. In these contexts, ethical and political value judgments play a legitimate role as auxiliary hypotheses in generating evidential relations. Third, when scientific research has implications for public policy, scientists must weigh ethical values in determining which risks are "acceptable" in classifying data. Finally, ethical and political considerations can be relevant to evaluating whether an interpretation of data is biased. ;A consequence of my view is that, in some contexts, "value-free" science is not only impossible, but also epistemologically irresponsible. Good science will sometimes require scientists to weigh the ethical and political values at stake in their research. As a result, scientists should be trained to think critically about the ethical and political dimensions of their work. (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)

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)

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)

Can we sustain the idea, once expressed by Henri Poincaré, that science and values only touch but do not interpenetrate? Isn’t such an idea nothing more than an idealization? Is there no link between science and genuine human flourishing?

Open peer commentary on the article “Second-Order Science: Logic, Strategies, Methods” by Stuart A. Umpleby. Upshot: The author claims that second-order science leads to “an awareness of our impact on our social and biological environment.” If this is true, it is sheer irresponsibility not to address the possibility that human activity is leading the biosphere to a point of catastrophic collapse. More generally, I hold that science should openly address explicitly value-laden issues.

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)

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)

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)

The goal of the article is to substantiate that despite the criticism the paradigm in economics will not change because of the axiomatic assumptions of value-free economics. How these assumptions work is demonstrated on the example of Gary Becker’s economic approach which is analyzed from the perspective of scientific research programme. The author indicates hard core of economic approach and the protective belt which makes hard core immune from any criticism. This immunity leads economists to believe that they (...) are objective scientists and, consequently, it results in epistemological hubris. Due to its tautological nature, economic approach is considered to be a degenerative programme. This conclusion is extended on value-free economics. In spite of these problems, many economists still believe in positive economics and they dismiss normative approaches. It has a negative influence on people. The conclusion of the article is that thanks to axiomatic assumptions economists do not have objective and ironclad methodology and they should accept normative values in their research. (shrink)

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

This Element introduces the philosophical literature on values in science by examining four questions: How do values influence science? Should we actively incorporate values in science? How can we manage values in science responsibly? What are some next steps for those who want to help promote responsible roles for values in science? It explores arguments for and against the “value-free ideal” for science and concludes that it should be rejected. Nonetheless, this does (...) not mean that value influences are always acceptable. The Element explores a range of strategies for distinguishing between appropriate and inappropriate value influences. It concludes by proposing an approach for managing values in science that relies on justifying, prioritising, and implementing norms for scientific research practices and institutions. (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)