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)

Over the last several years, there has been an explosion of interest and attention devoted to the problem of Uncertainty Quantification (UQ) in climate science—that is, to giving quantitative estimates of the degree of uncertainty associated with the predictions of global and regional climate models. The technical challenges associated with this project are formidable, and so the statistical community has understandably devoted itself primarily to overcoming them. But even as these technical challenges are being met, a number of persistent conceptual (...) difficulties remain. So why is UQ so important in climate science? UQ, I would like to argue, is first and foremost a tool for communicating knowledge from experts to policy makers in a way that is meant to be free from the influence of social and ethical values. But the standard ways of using probabilities to separate ethical and social values from scientific practice cannot be applied in a great deal of climate modeling, because the roles of values in creating the models cannot be discerned after the fact—the models are too complex and the result of too much distributed epistemic labor. I argue, therefore, that typical approaches for handling ethical/social values in science do not work well here. (shrink)

Richard Rudner famously argues that the communication of scientific advice to policy makers involves ethical value judgments. His argument has, however, been rightly criticized. This article revives Rudner’s conclusion, by strengthening both his lines of argument: we generalize his initial assumption regarding the form in which scientists must communicate their results and complete his ‘backup’ argument by appealing to the difference between private and public decisions. Our conclusion that science advisors must, for deep-seated pragmatic reasons, make value judgments is further (...) bolstered by reflections on how the scientific contribution to policy is far less straightforward than the Rudner-style model suggests. (shrink)

The question of the relationship of the making of value judgments in a typically ethical sense to the methods and procedures of science has been discussed in the literature at least to that point which e. e. cummings somewhere refers to as “The Mystical Moment of Dullness.” Nevertheless, albeit with some trepidation, I feel that something more may fruitfully be said on the subject.

Much of the literature on values in science is limited in its perspective because it focuses on the role of values in individual scientists’ decision making, thereby ignoring the context of scientific collaboration. I examine the epistemic structure of scientific collaboration and argue that it gives rise to two arguments showing that moral and social values can legitimately play a role in scientists’ decision to accept something as scientific knowledge. In the case of scientific collaboration some moral and social values (...) are properly understood to be extrinsic epistemic values, that is, values that promote the attainment of scientific knowledge. (shrink)

We call attention to an underappreciated way in which non-epistemic values influence evidence evaluation in science. Our argument draws upon some well-known features of scientific modeling. We show that, when scientific models stand in for background knowledge in Bayesian and other probabilistic methods for evidence evaluation, conclusions can be influenced by the non-epistemic values that shaped the setting of priorities in model development. Moreover, it is often infeasible to correct for this influence. We further suggest that, while this value influence (...) is not particularly prone to the problem of wishful thinking, it could have problematic non-epistemic consequences in some cases. (shrink)

Current controversies about knowledge integration reflect conflicting ideas of what it means to “take Indigenous knowledge seriously”. While there is increased interest in integrating Indigenous and Western scientific knowledge in various disciplines such as anthropology and ethnobiology, integration projects are often accused of recognizing Indigenous knowledge only insofar as it is useful for Western scientists. The aim of this article is to use tools from philosophy of science to develop a model of both successful integration and integration failures. On the (...) one hand, I argue that cross-cultural recognition of property clusters leads to an ontological overlap that makes knowledge integration often epistemically productive and socially useful. On the other hand, I argue that knowledge integration is limited by ontological divergence. Adequate models of Indigenous knowledge will therefore have to take integration failures seriously and I argue that integration efforts need to be complemented by a political notion of ontological self-determination. (shrink)

As Justin Biddle and I have argued, climate skepticism can be epistemically problematic when it displays a systematic intolerance of producer risks at the expense of public risks : 261–278, 2015). In this paper, I will provide currently available empirical evidence that supports our account, and I discuss the normative consequences of climate skepticism by drawing upon Philip Kitcher’s “Millian argument against the freedom of inquiry.” Finally, I argue that even though concerns regarding inappropriate disqualification of dissent are reasonable, a (...) form of “targeting” dissent—namely revealing manufactured dissent—is required in order to identify epistemically detrimental dissent and, thus, to protect scientific and public discourse. (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)

Over the past twenty-five years, numerous articles in Hypatia have clarified, revised, and defended increasingly more nuanced views of both feminist empiricism and standpoint feminism. Feminist empiricists have argued that scientific knowledge is contextual and socially situated (Longino 1990; Nelson 1990; Anderson 1995), and standpoint feminists have begun to endorse virtues of theory choice that have been traditionally empiricist (Wylie 2003). In fact, it is unclear whether substantive differences remain. I demonstrate that current versions of feminist empiricism and standpoint feminism (...) now have much in common but that key differences remain. Specifically, they make competing claims about what is required for increasing scientific objectivity. They disagree about 1) the kind of diversity within scientific communities that is epistemically beneficial and 2) the role that ethical and political values can play. In these two respects, feminist empiricists have much to gain from the resources provided by standpoint theory. As a result, the views would be best merged into “feminist standpoint empiricism.”. (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)

One of the first frameworks developed for understanding the relation of science and technology to the economy has been the linear model of innovation. The model postulated that innovation starts with basic research, is followed by applied research and development, and ends with production and diffusion. The precise source of the model remains nebulous, having never been documented. Several authors who have used, improved, or criticized the model in the past fifty years rarely acknowledged or cited any original source. The (...) model usually was taken for granted. According to others, however, it comes directly from V. Bush’s Science: The Endless Frontier. This article traces the history of the linear model, suggesting that it developed in three steps corresponding to three scientific communities looking at science analytically. The article argues that statistics is a main reason the model is still alive despite criticisms, alternatives, and having been proclaimed dead. (shrink)

Margaret Atwood and David Suzuki are two of the most prominent Canadian public ‎intellectuals ‎involved in the global warming debate. They both argue that anthropogenic global ‎warming is ‎occurring, warn against its grave consequences, and urge governments and the ‎public to take ‎immediate, decisive, extensive, and profound measures to prevent it. They differ, ‎however, in the ‎reasons and evidence they provide in support of their position. While Suzuki ‎stresses the scientific ‎evidence in favour of the global warming theory and the (...) scientific ‎consensus around it, Atwood is ‎suspicious of the objectivity of science, and draws on an ‎idiosyncratic neo-Malthusian theory of ‎human development. Their implicit views ‎about the cognitive authority of science may be ‎identified with Critical Contextual Empiricism ‎and Feminist Standpoint Epistemology, respectively, ‎both of which face difficulties with ‎providing solid grounds for the position they advocate.‎ ‎. (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)