K. Brad Wray

The pessimistic induction plays an important role in the contemporary realism/anti-realism debate in philosophy of science. But there is some disagreement about the structure and aim of the argument. And a number of scholars have noted that there is more than one type of PI in the philosophical literature. I review four different versions of the PI. I aim to show that PIs have been appealed to by philosophers of science for a variety of reasons. Even some realists have appealed to a PI. My goal is to advance our understanding of what the various PIs can teach us about science and the threat posed by PIs to scientific realism

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

This anthology focuses on three areas in the theory of knowledge: epistemic justification; analyses of knowledge and scepticism; and recent development in epistemology. Each of the three sections includes a brief introduction to the readings, a series of study questions, and a list of suggested readings. Section 1 deals with coherentism, foundationalism, reliabilism, and includes articles by Chisholm, BonJour, Audi, Goldman, and Fumerton. Section 2 deals with the analysis of knowledge and Gettier problems, and a variety of forms and responses to scepticism; it includes articles by Gettier, Conee, Feldman, Putnam, Nagel, and Stroud. Section 3 introduces the reader to recent developments in naturalized, feminist, and social epistemology, and includes articles by Quine, Almeder, Putnam, Anderson, Harding, Longino, Hardwig, Rorty, and Kitcher

I take another look at the history of science and offer some fresh insights into why the history of science is filled with discarded theories. I argue that the history of science is just as we should expect it to be, given the following two facts about science: theories are always only partial representations of the world, and almost inevitably scientists will be led to investigate phenomena that the accepted theory is not fit to account for. Together these facts suggest that most scientific theories are apt to be discarded sometime, superseded by new theories that better serve scientists’ new research interests. Consequently, it is reasonable to expect that many of the theories we currently accept, despite their many impressive successes, will be discarded sometime in the future. But I also argue that discarded theories are not always aptly characterized as a sign of failure or as a sign of some sort of shortcoming with science. Theories are discarded because scientists are making advances in their pursuit of knowledge. Thus, discarded theories are often a sign of the good health of science. Scientists are responding to their changing research interests.

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 examine the influence of James B. Conant on the writing of Kuhn’s Structure of Scientific Revolutions. By clarifying Conant’s influence on Kuhn, I also clarify the influence that others had on Kuhn’s thinking. And by identifying the various influences that Conant had on Kuhn’s view of science, I identify Kuhn’s most original contributions in Structure. On the one hand, I argue that much of the framework and many of the concepts that figure in Structure were part of Conant’s picture of science, a picture that figured prominently in the general education natural science courses that Conant taught at Harvard. On the other hand, I show that Kuhn’s Structure contains important contributions that do not figure in Conant’s picture of science. I argue that the following three themes in Structure do not originate with Conant: (1) the concept of “normal science”; (2) “the problem of scientific revolutions,” that is, the apparent threat posed by radical changes of theory in science; and (3) Kuhn’s emphasis on the social dimensions of science, specifically the social structure of research communities.

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.