K. Brad Wray

I examine the epistemic import of collaborative research in science. I develop and defend a functional explanation for its growing importance. Collaborative research is becoming more popular in the natural sciences, and to a lesser degree in the social sciences, because contemporary research in these fields frequently requires access to abundant resources, for which there is great competition. Scientists involved in collaborative research have been very successful in accessing these resources, which has in turn enabled them to realize the epistemic goals of science more effectively than other scientists, thus creating a research environment in which collaboration is now the norm.

Social epistemology is a wide-ranging field of study concerned with investigating how various social factors, practices, and institutions affect our prospects of gaining and spreading knowledge. Philosophers working in social epistemology have focused on a range of topics, including trust and testimony, the effects of social location on knowing, and whether or not groups of people can have knowledge that is not reducible to the knowledge of the individual members of the group. Much of the work in social epistemology is not concerned specifically with science and scientists but, rather, with knowing agents in general. This chapter will be concerned narrowly with the social epistemology of scientific knowledge. After a brief discussion of Thomas Kuhn's contribution to the social epistemology of science, the chapter addresses the following issues: the ideal epistemic community; collaboration and trust; social values and bias; and science policy and expertise. The chapter ends with a brief discussion of methodology in the social epistemology of science.

I revisit an older defense of scientific realism, the methodological defense, a defense developed by both Popper and Feyerabend. The methodological defense of realism concerns the attitude of scientists, not philosophers of science. The methodological defense is as follows: a commitment to realism leads scientists to pursue the truth, which in turn is apt to put them in a better position to get at the truth. In contrast, anti-realists lack the tenacity required to develop a theory to its fullest. As a consequence, they are less likely to get at the truth. My aim is to show that the methodological defense is flawed. I argue that a commitment to realism does not always benefit science, and that there is reason to believe that a research community with both realists and anti-realists in it may be better suited to advancing science. A case study of the Copernican Revolution in astronomy supports this claim.

I evaluate the extent to which we could learn something about how we should be conducting collaborative research in science from the research on groupthink. I argue that Solomon has set us in the wrong direction, failing to recognize that the consensus in scientific specialties is not the result of deliberation. But the attention to the structure of problem-solving that has emerged in the groupthink research conducted by psychologists can help us see when deliberation could lead to problems for a research team. I argue that whenever we need to generate alternative solutions or proposals, groupthink is a genuine threat, and research teams would be wise to allow individuals opportunities to work alone. But the benefits of team work emerge when scientists seek to evaluate the various proposals generated, and determine a course of action. Then the group is less prone is groupthink, and the interaction of group members can be an epistemic asset.

Otto Neurath compared science to a ship at sea on which the sailors have to repair their vessel as they keep it afloat. Metascience is a ship of a similar sort. Do not worry. There are no repairs to report. But changes are being made at Metascience on an ongoing basis, even as we work to meet our production deadlines. With this, our second issue, we would like to announce some further changes with the journal.Ties Nijseen and Christi Lue who have long been responsible for many of the matters related to Metascience are handing over the responsibilities to Lucy Fleet. Ties has been the Publishing Editor for Metascience since 2009, and Christi has supported him as editorial assistant since 2012. Ties and Christi are still with Springer, but they have taken on other projects. We would like to take this opportunity to thank them for their years of service to Metascience.Lucy will be our new Publishing Editor. She has worked for Springer for 11 years. She is, in addition, ..

David Hull accounts for the success of science in terms of an invisible hand mechanism, arguing that it is difficult to reconcile scientists' self-interestedness or their desire for recognition with traditional philosophical explanations for the success of science. I argue that we have less reason to invoke an invisible hand mechanism to explain the success of science than Hull implies, and that many of the practices and institutions constitutive of science are intentionally designed by scientists with an eye to realizing the very goals that Hull believes need to be explained by reference to an invisible hand mechanism. Thus, I reduce the scope of Hull's invisible hand explanation and supplement it by appealing to a hidden hand explanation

I examine whether or not it is apt to attribute knowledge to groups of scientists. I argue that though research teams can be aptly described as having knowledge, communities of scientists identified with research fields, and the scientific community as a whole are not capable of knowing. Scientists involved in research teams are dependent on each other, and are organized in a manner to advance a goal. Such teams also adopt views that may not be identical to the views of the individual members of the group.

I aim to clarify the relationship between the success of a theory and the truth of that theory. This has been a central issue in the debates between realists and anti-realists. Realists assume that success is a reliable indicator of truth, but the details about the respects in which success is a reliable indicator or test of truth have been largely left to our intuitions. Lewis (Synthese 129:371–380, 2001) provides a clear proposal of how success and truth might be connected, comparing a test of success of our theories to medical tests with low rates of false positives and false negatives. But, contrary to what Lewis claims, I argue that it is not enough for the realist to undercut the claim that success is not a reliable indicator of truth. Rather, the realist must show that our current best theories are likely true. Further, I argue that tests in science are unlike medical tests in a number of important ways

I present a history of Kuhn’s discovery of paradigms, one that takes account of the complexity of the discovery process. Rather than emerging fully formed in Structure , the concept paradigm emerged through a series of phases. Early criticism of Structure revealed that the role of paradigms was unclear. It was only as Kuhn responded to criticism that he finally articulated a precise understanding of the concept paradigm. In a series of publications in the 1970s, he settled on a conception of a paradigm as a concrete exemplar that functions as a guide to future research

I examine the value and limitations of Kuhn’s Structure of Scientific Revolutions. In the interests of developing a social epistemology of science, I argue that we should draw on Kuhn’s later work, published in The Road since Structure. There, Kuhn draws attention to the important role that specialty formation plays in resolving crises in science, a topic he did not discuss in Structure. I argue that we need to develop a better understanding of specialty research communities. Kuhn’s later work provides a research agenda for those who want to study scientific specialization. I briefly discuss some recent studies that promise to provide valuable insight into the social structure of science

Jon Elster and Daniel Little have criticized social scientists for appealing to a mechanism of social selection in functional explanations of social practices. Both believe that there is no such mechanism operative in the social world. I develop and defend an account of functional explanation in which a mechanism of social selection figures centrally. In addition to developing an account of social selection, I clarify what functional hypotheses purport to claim, and re-examine the role of agents’ intentions in functional explanations in an effort to show why a mechanism of social selection is indispensable to adequate functional explanations.

My aim is to evaluate a new realist strategy for addressing the pessimistic induction, Ludwig Fahrbach’s (Synthese 180:139–155, 2011) appeal to the exponential growth of science. Fahrbach aims to show that, given the exponential growth of science, the history of science supports realism. I argue that Fahrbach is mistaken. I aim to show that earlier generations of scientists could construct a similar argument, but one that aims to show that the theories that they accepted are likely true. The problem with this is that from our perspective on the history of science we know their argument is flawed. Consequently, we should not be impressed or persuaded by Fahrbach’s argument. Fahrbach has failed to identify a difference that matters between today’s theories and past theories. But realists need to find such a difference if they are to undermine the pessimistic induction

Studies of epistemic communities and collaborative research in the social sciences have deepened the understanding of how science works, and more specifically how the social dimensions of scientific practice both enable and impede social scientists in realizing their epistemic goals. Two types of studies of epistemic communities are distinguished: general theories of epistemic communities aim to construct accounts of theoretical change applicable to all social scientific specialties, whereas historical studies emphasize the contingencies that affect specific social scientific disciplines, subfields, or institutions. Although collaborative research plays a less pronounced role in the social sciences than in the natural sciences, collaboration has enabled social scientists to investigate topics that would otherwise be difficult to investigate

It has often been remarked that science is a young man's game. Thomas Kuhn, for example, claims that revolutionary changes in science are almost always initiated by either young scientists or those new to a field. I subject Kuhn's hypothesis to testing. I examine 24 revolutionary scientific figures mentioned in The Structure of Scientific Revolutions to determine if young scientists are more likely to make revolutionary discoveries than older scientists. My analysis suggests that middle-aged scientists are responsible for initiating more scientific revolutions than young scientists, given the proportion of each group in the total population of scientists. I argue that the popular myth about the correlation between youth and scientific discovery fails to take into account the proportion of young scientists in the population of scientists.

I examine the degree of specialization in various sub-fields of philosophy, drawing on data from the PhilPapers Survey. The following three sub-fields are highly specialized: Ancient philosophy, seventeenth/eighteenth century philosophy, and philosophy of physics. The following sub-fields have a low level of specialization: metaphilosophy, philosophy of religion, philosophy of probability, philosophy of the social sciences, decision theory, and philosophy of race and gender. Highly specialized sub-fields tend to require extensive knowledge in some area beyond the typical training of a philosopher, and outside of philosophy proper. In addition, there is a correlation between sub-field size and degree of specialization. Larger sub-fields tend to be more specialized.

Hoyningen-Huene develops an account of what science is, distinguishing it from common sense. According to Hoyningen-Huene, the key distinguishing feature is that science is more systematic. He identifies nine ways in which science is more systematic than common sense. I compare Hoyningen-Huene’s view to a view I refer to as the “Continuity Thesis.” The Continuity Thesis states that scientific knowledge is just an extension of common sense. This thesis is associated with Quine, Planck, and others. I argue that Hoyningen-Huene ultimately rejects the Continuity Thesis, and I present further evidence to show that the Continuity Thesis is false. I also argue that it is the systematicity of science that ultimately grounds the epistemic authority of science. Hoyningen-Huene thus draws attention to an important feature of science that explains the place of science in contemporary society.

I challenge Hacking's characterization of Kuhn's constructionism. I argue that Kuhn does not believe that nature has no joints. Rather, Kuhn believes there is no unique correct way to cut nature into kinds. I also argue that Kuhn is not an externalist. He believes that disputes in science are resolved on the basis of a consideration of the epistemic merits of the theories. Subjective factors merely ensure that competing theories are developed, and the strengths and weaknesses of the theories are exposed. Epistemic considerations are what ultimately lead to consensus in a research community.