Recent objections to epistemic permissivism have a metaepistemic flavor. Impermissivists argue that their view best accounts for connections between rationality, planning and deference. Impermissivism is also taken to best explain the value of rational belief and normative assessment. These objections pose a series of metaepistemic explanatory challenges for permissivism. In this paper, I illustrate how permissivists might meet their explanatory burdens by developing two permissivist metaepistemic views which fare well against the explanatory challenges.

What must laypersons understand about science to allow them to make sound decisions on science-related issues? Relying on recent developments in social epistemology, this paper argues that scientific education should have the goal not of bringing laypersons' understanding of science closer to that of expert insiders, but rather of cultivating the kind of competence characteristic of “competent outsiders” (Feinstein 2011). Moreover, it argues that philosophers of science have an important role to play in attempts to promote this kind of understanding, (...) but that to successfully fulfill this role, they will have to approach central questions in the field differently. (shrink)

It has recently been suggested that politically motivated cognition leads progressive individuals to form beliefs that underestimate real differences between social groups and to process information selectively to support these beliefs and an egalitarian outlook. I contend that this tendency, which I shall call ‘egalitarian confirmation bias’, is often ‘Mandevillian’ in nature. That is, while it is epistemically problematic in one’s own cognition, it often has effects that significantly improve other people’s truth tracking, especially that of stigmatized individuals in academia. (...) Due to its Mandevillian character, egalitarian confirmation bias isn’t only epistemically but also ethically beneficial, as it helps decrease social injustice. Moreover, since egalitarian confirmation bias has Mandevillian effects especially in academia, and since progressives are particularly likely to display the bias, there is an epistemic reason for maintaining the often-noted political majority of progressives in academia. That is, while many researchers hold that diversity in academia is epistemically beneficial because it helps reduce bias, I argue that precisely because political diversity would help reduce egalitarian confirmation bias, it would in fact in one important sense be epistemically costly. (shrink)

Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...) associated with experimental design, including controlled variation and randomization, this chapter will provide a summary of key ethical issues that tend to arise in experimental contexts. In addition, by exploring assumptions about the nature of causation and by analyzing features of causal relationships, systems, and inferences in social contexts, this chapter will summarize the ways in which experimental design can undermine the integrity of not only social and behavioral research but policies implemented on the basis of such research. (shrink)

Dissent is thought to play a valuable role in science, so that scientific communities ought to create opportunities for receiving critical feedback and take dissenting views seriously. There is concern, however, that some dissent does more harm than good. Dissent on climate change and evolutionary theory, for example, has confused the public, created doubt about existing consensus, derailed public policy, and forced scientists to devote resources to respond. Are there limits to the extent to which scientific communities have obligations to (...) seek and engage dissenting views? We consider the two main criteria that have been offered for what constitutes “normatively appropriate dissent” or the sort of dissent that ought to have the opportunity to be heard and taken seriously. Many have argued that dissenters must (1) engage in uptake of criticism against their own views and (2) share some standards for theory appraisal. We argue these criteria ultimately are unsuccessful. (shrink)

Research on the status and experience of women in academia in the last 30 years has challenged conventional explanations of persistent gender inequality, bringing into sharp focus the cumulative impact of small scale, often unintentional differences in recognition and response: the patterns of 'post-civil rights era' dis­crimination made famous by the 1999 report on the status of women in the MIT School of Science. I argue that feminist standpoint theory is a useful resource for understanding how this sea change in (...) understanding gender inequity was realized. At the same time, close attention to activist research on workplace environment issues suggests ways in which our understanding of standpoint theory can fruitfully be refined. I focus on the implications of two sets of distinctions: between types of epistemic injustice (and correlative advantage) that may affect marginalized knowers; and between the resources of situated knowledge and those of a critical standpoint on knowledge production. (shrink)

Despite the National Science Foundation's recent clarification of the Broader Impacts Criterion used in grant evaluation, it is not clear that this criterion is being understood or applied consistently by grant writers or reviewers. In particular, there is still confusion about how to interpret the requirement for broadening the participation of under-represented groups in science and scepticism about the value of doing so. Much of this stems from uncertainty about why the participation of under-represented groups is desirable or beneficial in (...) the first place. This paper distinguishes three different rationales for the importance of diversity in science and draws out the implications for the kind of diversity that is desirable, as well as how the diversity requirement of the Broader Impacts Criterion should be applied and weighed against other criteria in reviewing particular grants. I argue that there are epistemic, as well as social, benefits to diversity that can help promote scientific progress. (shrink)

The disconnect problem arises wherever there is ongoing and severe discordance between the scientific assessment of a politically relevant issue, and the politics and legislation of said issue. Here, we focus on the disconnect problem as it arises in the case of climate change, diagnosing a failure to respect the necessary tradeoff between authority and autonomy within a public institution like science. After assessing the problematic deployment of scientific authority in this arena, we offer suggestions for how to mitigate climate (...) change’s particular disconnect problem, as well as more general proposals for reforming science advising. (shrink)

Empirical success is a central criterion for scientific decision-making. Yet its understanding in philosophical studies of science deserves renewed attention: Should philosophers think differently about the advancement of science when they deal with the uncertainty of outcome in ongoing research in comparison with historical episodes? This paper argues that normative appeals to empirical success in the evaluation of competing scientific explanations can result in unreliable conclusions, especially when we are looking at the changeability of direction in ongoing investigations. The challenges (...) we encounter arise from the inherent dynamics of disciplinary and experimental objectives in research practice. In this paper we discuss how these dynamics inform the evaluation of empirical success by analyzing three of its requirements: data accommodation, instrumental reliability, and predictive power. We conclude that the assessment of empirical success in developing inquiry is set against the background of a model’s interactive success and prospective value in an experimental context. Our argument is exemplified by the analysis of an apparent controversy surrounding the model of a quantum nose in research on olfaction. Notably the public narrative of this controversy rests on a distorted perspective on measures of empirical success. (shrink)

Interest in the concept of objectivity is part of the legacy of Modern Philosophy, tracing back to a new way of understanding the starting point of philosophical reflection. It traces back to an “epistemological turn” that attended the development of New Science of the 16th and 17th Century. These origins are an indication that what a thinker takes as the starting point of philosophical reflection deeply affects how they approach key philosophical concepts, including truth, knowledge, and objectivity. Chapter 1 Introduces (...) this key concept in philosophy, and some of the history of its use. (shrink)

The naturalism versus interpretivism debate in social science is traditionally framed as the question of whether social science should attempt to emulate the methods of natural science. I argue that this manner of formulating the issue is problematic insofar as it presupposes an implausibly strong unity of method among the natural sciences. I propose instead that the core question of the debate is the extent to which reliable causal inference is possible in social science, a question that cannot be answered (...) by comparisons between social and natural science. I explore how some common arguments on both sides of the issue should be reexamined if the naturalism versus interpretivism debate is understood as I propose. (shrink)

There is a large literature on social epistemology, some of which is concerned with expert knowledge. Formal representations of the aggregation of decisions, estimates, and the like play a larger role in these discussions. Yet these discussions are neither sufficiently social nor epistemic. The assumptions minimize the role of knowledge, and often assume independence between observers. This paper presents a more naturalistic approach, which appeals to a model of epistemic gain from others, as mutual consilience—a genuinely social notion of epistemology. (...) Using the example of Michael Polanyi’s account of science as an illustration, it introduces the notion of double heuristics: that individuals, each with their own heuristics, each with cognitive biases and limitations, are aggregated by a decision procedure, like voting, and this second order procedure produces its own heuristic, with its own cognitive biases and limitations. An example might be the limited ability of democracies to assimilate expert knowledge. (shrink)