Kevin Elliott’s A Tapestry of Values is a terrific book, chock full of valuable case studies and incisive analyses. It aims to be useful not only to students of philosophy of science and the other areas of science studies but also to practicing scientists, policymakers, and the public at large—a tall order. And it succeeds admirably for many of these folks. In my comments I suggest what it would need for the rest.

Many economic measures are structured to reflect ethical values. I describe three attitudes towards this: maximalism, according to which we should aim to build all relevant values into measures; minimalism, according to which we should aim to keep values out of measures; and an intermediate view. I argue the intermediate view is likely correct, but existing versions are inadequate. In particular, economists have strong reason to structure measures to reflect fixed, as opposed to user-assessable, values. This implies that, despite disagreement (...) about precisely how to do so, economists should standardly adjust QALYs and DALYs to reflect egalitarian values. (shrink)

I focus here on archaeologists who work with Indigenous descendant communities in North America and address two key questions raised by their practice about the advantages of situated inquiry. First, what exactly are the benefits of collaborative practice—what does it contribute, in this case to archaeology? And, second, what is the philosophical rationale for collaborative practice? Why is it that, counter-intuitively for many, collaborative practice has the capacity to improve archaeology in its own terms and to provoke critical scrutiny of (...) its goals and methodological norms? The broader import, I argue, is a rethinking of traditional views of objectivity that takes social, contextual values to be a resource for improving what we know, rather than inevitably a source of compromising error and distortion (as discussed in detail in Chapters 7 and 9). (shrink)

The controversy over the old ideal of “value-free science” has cooled significantly over the past decade. Many philosophers of science now agree that even ethical and political values may play a substantial role in all aspects of scientific inquiry. Consequently, in the last few years, work in science and values has become more specific: Which values may influence science, and in which ways? Or, how do we distinguish illegitimate from illegitimate kinds of influence? In this paper, I argue that this (...) problem requires philosophers of science to take a new direction. I present two case studies in the influence of values on scientific inquiry: feminist values in archaeology and commercial values in pharmaceutical research. I offer a preliminary assessment of these cases, that the influence of values was legitimate in the feminist case, but not in the pharmaceutical case. I then turn to three major approaches to distinguish legitimate from illegitimate influences of values, including the distinction between epistemic and non-epistemic values and Heather Douglas’ distinction between direct and indirect roles for values. I argue that none of these three approaches gives an adequate analysis of the two cases. In the concluding section, I briefly sketch my own approach, which draws more heavily on ethics than the others, and is more promising as a solution to the current problem. This is the new direction in which I think science and values should move. (shrink)

"--Richard Grandy, Rice University "This is the first compelling diagnosis of what has gone awry in the raging 'science wars.

Private companies provide by far the most funding for scientific research and development. Nevertheless, relatively little attention has been paid to the dynamics of industry‐funded research by philosophers of science. This paper addresses this gap by providing an overview of the major strengths and weaknesses of industry research funding, together with the existing recommendations for addressing the weaknesses. It is designed to provide a starting point for future philosophical work that explores the features of industry‐funded research, avenues for addressing concerns, (...) and strategies for making research funded by the private sector as fruitful as possible. (shrink)

While it is widely acknowledged that science is not “free” of non-epistemic values, there is disagreement about the roles that values can appropriately play. Several have argued that non-epistemic values can play important roles in modeling decisions, particularly in addressing uncertainties ; Risbey 2007; Biddle and Winsberg 2010; Winsberg : 111-137, 2012); van der Sluijs 359-389, 2012). On the other hand, such values can lead to bias ; Bray ; Oreskes and Conway 2010). Thus, it is important to identify when (...) it is legitimate to appeal to non-epistemic values in modeling decisions. An approach is defended here whereby such value judgments are legitimate when they promote democratically endorsed epistemological and social aims of research. This framework accounts for why it is legitimate to appeal to non-epistemic values in a range of modeling decisions, while addressing concerns that the presence of such values will lead to bias or give scientists disproportionate power in deciding what values ought to be endorsed. (shrink)

In recent papers and a book, Heather Douglas has expanded on the well-known argument from inductive risk, thereby launching an influential contemporary critique of the value-free ideal for science. This paper distills Douglas’s critique into four major claims. The first three claims provide a significant challenge to the value-free ideal for science. However, the fourth claim, which delineates her positive proposal to regulate values in science by distinguishing direct and indirect roles for values, is ambiguous between two interpretations, and both (...) have weaknesses. Fortunately, two elements of Douglas’s work that have previously received much less emphasis provide resources for developing a more promising approach for regulating values in science. (shrink)

This is an important book precisely because there is none other quite like it.

Proponents of the value ladenness of science rely primarily on arguments from underdetermination or inductive risk, which share the premise that we should only consider values where the evidence runs out or leaves uncertainty; they adopt a criterion of lexical priority of evidence over values. The motivation behind lexical priority is to avoid reaching conclusions on the basis of wishful thinking rather than good evidence. This is a real concern, however, that giving lexical priority to evidential considerations over values is (...) a mistake and unnecessary for avoiding the wishful thinking. Values have a deeper role to play in science. (shrink)

Ethicists widely accept the notion that scientists have moral responsibilities to benefit society at large. The dissemination of scientific information to the public and its political representatives is central to many of the ways in which scientists serve society. Unfortunately, the task of providing information can often give rise to moral quandaries when scientific experts participate in politically charged debates over issues that are fraught with uncertainty. This paper develops a theoretical framework for an “ethics of expertise” (EOE) based on (...) the notion that scientists have responsibilities to provide information in a way that promotes autonomous decision-making on the part of the public and its representatives. Moreover, insofar as the principle of informed consent has developed in biomedical ethics as a way for physicians to promote autonomous decision-making on the part of their patients, this paper suggests that the informed-consent concept may suggest a set of criteria and guidelines that can help scientists to fulfill their similar ethical responsibilities to the public. In order to illustrate how the resulting EOE could provide practical guidance for scientific experts, the paper examines a case study involving the dissemination of information about the low-dose biological effects of toxic chemicals and carcinogens. (shrink)

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

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.

A feminist primer for philosophers of science -- The legacy of twentieth century philosophy of science -- What feminist science studies can offer -- Challenges from every direction -- The prospects of twenty-first century philosophy of science.

Recent efforts to argue that nonepistemic values have a legitimate role to play in assessing scientific models, theories, and hypotheses typically either reject the distinction between epistemic and nonepistemic values or incorporate nonepistemic values only as a secondary consideration for resolving epistemic uncertainty. Given that scientific representations can legitimately be evaluated not only based on their fit with the world but also with respect to their fit with the needs of their users, we show in two case studies that nonepistemic (...) values can play a legitimate role as factors that override epistemic considerations in assessing scientific representations for practical purposes. (shrink)

Relatively few thinkers have attempted to develop a systematic ‘ethics of expertise’ (EOE) that can guide scientists and other technical experts in providing information to the public. This paper argues that the prima facie duty to disseminate information in a manner that does not damage the self-determination of decision makers could fruitfully serve as one of the core principles of an EOE. Moreover, this duty can be fleshed out in promising ways by drawing on the concept of informed consent, which (...) guides medical clinicians in preserving the self-determination of their patients. The paper applies the resulting ethical framework to recent policy discussions about hydrogen fuel-cell (HFC) vehicles, both because they have received a good deal of research funding and because their merits have been hotly debated. It concludes that technical experts providing information about HFC vehicles should be especially cognizant of three issues: (1) important alternatives to hydrogen technology that need to be addressed, (2) major false beliefs that should be prevented or corrected, and (3) significant framing effects that could influence the recipients of information. (shrink)

The role of values in scientific research has become an important topic of discussion in both scholarly and popular debates. Pundits across the political spectrum worry that research on topics like climate change, evolutionary theory, vaccine safety, and genetically modified foods has become overly politicized. At the same time, it is clear that values play an important role in science by limiting unethical forms of research and by deciding what areas of research have the greatest relevance for society. Deciding how (...) to distinguish legitimate and illegitimate influences of values in scientific research is a matter of vital importance.Recently, philosophers of science have written a great deal on this topic, but most of their work has been directed toward a scholarly audience. This book makes the contemporary philosophical literature on science and values accessible to a wide readership. It examines case studies from a variety of research areas, including climate science, anthropology, chemical risk assessment, ecology, neurobiology, biomedical research, and agriculture. These cases show that values have necessary roles to play in identifying research topics, choosing research questions, determining the aims of inquiry, responding to uncertainty, and deciding how to communicate information. Kevin Elliott focuses not just on describing roles for values but also on determining when their influences are actually appropriate. He emphasizes several conditions for incorporating values in a legitimate fashion, and highlights multiple strategies for fostering engagement between stakeholders so that value influences can be subjected to careful and critical scrutiny. (shrink)

A common complaint against the increasing privatization of research is that research that is conducted with the immediate purpose of producing applicable knowledge will not yield knowledge as valuable as that generated in more curiosity‐driven, academic settings. In this paper, I make this concern precise and reconstruct the rationale behind it. Subsequently, I examine the case of industry research on the giant magnetoresistance effect in the 1990s as a characteristic example of research undertaken under considerable pressure to produce applicable results. (...) The example permits one to arrive at a more optimistic assessment of the epistemic merits of private, application‐driven research. I attempt to specify the conditions that, in this case, advanced the production of interesting and reliable knowledge. (shrink)

When communicating scientific information, experts often face difficult choices about how to promote public understanding while also maintaining an appropriate level of objectivity. We argue that one way for scientists and others involved in communicating scientific information to alleviate these tensions is to pay closer attention to the major frames employed in the contexts in which they work. By doing so, they can ideally employ useful frames while also enabling the recipients of information to “backtrack” to relatively uncontroversial facts and (...) recognize how these frames relate to their own values and perspectives. Important strategies for promoting this sort of backtracking include identifying the weaknesses of particular frames, preventing misunderstanding of them, differentiating well-supported findings from more speculative claims, and acknowledging major alternative frames. (shrink)

Relevant to a wide range of scientific disciplines, this is a practical guide for scientists, politicians and citizens to the relationship between science and politics.