Gender bias is a recalcitrant problem in academia and society. However, dissent has been created on this issue. We focus on dissenting studies by Stephen J. Ceci and Wendy M. Williams, arguing that they reach conclusions that are unwarranted on the basis of the available evidence and that they ignore fundamental objections to their methodological decisions. Drawing on discussions from other contexts, particularly on manufactured dissent concerning anthropogenic climate change, we conclude that dissent on gender bias substantially contributes to the (...) exacerbation of biases in society and an increasing number of attacks on researchers, making it both epistemically and socially problematic. (shrink)

At least since Kuhn’s Structure, philosophers have studied the influence of social factors in science’s pursuit of truth and knowledge. More recently, formal models and computer simulations have allowed philosophers of science and social epistemologists to dig deeper into the detailed dynamics of scientific research and experimentation, and to develop very seemingly realistic models of the social organization of science. These models purport to be predictive of the optimal allocations of factors, such as diversity of methods used in science, size (...) of groups, and communication channels among researchers. In this paper we argue that the current research faces an empirical challenge. The challenge is to connect simulation models with data. We present possible scenarios about how the challenge may unfold. (shrink)

The growing body of research on interdisciplinarity has encouraged a more in depth analysis of the relations that hold among academic disciplines. In particular, the incursion of one scientific discipline into another discipline's traditional domain, also known as scientific imperialism, has been a matter of increasing debate. Following this trend, Scientific Imperialism aims to bring together philosophers of science and historians of science interested in the topic of scientific imperialism and, in particular, interested in the conceptual clarification, empirical identification, and (...) normative assessment of the idea of scientific imperialism. Thus, this innovative volume has two main goals. Indeed, the authors first seek to understand interdisciplinary relations emerging from the incursion of one scientific discipline into one or more other disciplines, such as in cases in which the conventions and procedures of one discipline or field are imposed on other fields; or more weakly when a scientific discipline seeks to explain phenomena that are traditionally considered proper of another discipline's domain. Secondly, the authors explore ways of distinguishing imperialistic from non-imperialistic interactions between disciplines and research fields. The first sustained study of scientific imperialism, this volume will appeal to postgraduate students and postdoctoral researchers interested in fields such as Science and Technology Studies, Sociology of Science & Technology, Philosophy of Science, and History of Science. (shrink)

The shooting bias hypothesis aims to explain the disproportionate number of minorities killed by police. We present the evidence mounting in support of the existence of shooting bias and then focus on two dissenting studies. We examine these studies in light of Biddle and Leuschner’s “inductive risk account of epistemically detrimental dissent” and conclude that, although they meet this account only partially, the studies are in fact epistemically and socially detrimental as they contribute to racism in society and to a (...) social atmosphere that is hostile to science as scholars working on issues of racism come under attack. We emphasize this final point via recourse to Kitcher’s “Millian argument against the freedom of research.”. (shrink)

The purpose of this paper is to uncover some of the limitations that critical contextual empiricism, and in particular Longino's contextualism, faces when trying to provide a normative account of scientific knowledge that is relevant to current scientific research. After presenting the four norms of effective criticism, I show how the norms have limited scope when dealing with cases of current scientific practices. I then present some historical evidence for the claim that the organization of science has changed in recent (...) decades, and I argue that the uncovered limitations emerge from this larger phenomenon. Finally, I conclude by suggesting two ways to overcome the previously uncovered limitations. (shrink)

In recent decades, philosophers of science have become increasingly concerned with the social dimensions of scientific knowledge. Philosophers such as Helen Longino, Philip Kitcher, Miriam Solomon, Heather Douglas, and Janet Kourany have sought to incorporate the social aspects of science, while retaining the normative commitments of philosophy of science. Some of the major theoretical approaches in social epistemology of science, however, tend to ignore or underestimate the role that the current state of science organization plays in the production of scientific (...) knowledge.1 The world has changed significantly in recent decades, and science has changed with it. The.. (shrink)

Weisberg and Muldoon’s epistemic landscape model (ELM) has been one of the most significant contributions to the use of agent-based models in philosophy. The model provides an innovative approach to establishing the optimal distribution of cognitive labor in scientific communities, using an epistemic landscape. In the paper, we provide a critical examination of ELM. First, we show that the computing mechanism for ELM is correct insofar as we are able to replicate the results using another programming language. Second, we show (...) that small changes in the rules that determine the behavior of individual agents can lead to important changes in simulation results. Accordingly, we claim that ELM results are robust with respect to the computing mechanism, but not necessarily across parameter space. We conclude by reflecting on the possible lessons to be gained from ELM as a class of simulations or cluster of models. (shrink)

The article examines the idea that commercialized science is a central factor in the erosion of trust in science. I claim that commercial interests have a negative impact on the trustworthiness of...

Background: Over the last several decades, scientists and social groups have frequently raised concerns about politicization or political interference in regulatory science. Public actors (environmentalists and industry advocates, politically aligned public figures, scientists and political commentators, in the United States as well as in other countries) across major political-regulatory controversies have expressed concerns about the inappropriate politicization of science. Although we share concerns about the politicization of science, they are frequently framed in terms of an ideal of value-free science, according (...) to which political and economic values have no legitimate role to play in science. For several decades, work in philosophy of science has identified serious conceptual and practical problems with the value-free ideal. -/- Objectives: Our objectives are to discuss the literature regarding the conceptual and practical problems with the value-free ideal and offer a constructive alternative to the value-free ideal. -/- Discussion: We first discuss the prevalence of the value-free ideal in regulatory science, then argue that this ideal is self-undermining and has been exploited to delay protective regulation. To offer a constructive alternative, we analyze the relationship between the goals of regulatory science and the standards of good scientific activity. This analysis raises questions about the relationship between methodological and practical standards for good science, tensions among various important social goods, and tensions among various social interests. We argue that the aims of regulatory science help to legitimize value-laden choices regarding research methods and study designs. Finally, we discuss how public deliberation, adaptive management, and community-based participatory research can be used to improve the legitimacy of scientists as representatives of the general public on issues of environmental knowledge. -/- Conclusions: Reflecting on the aims of regulatory science—such as protecting human health and the environment, informing democratic deliberation, and promoting the capacities of environmental justice and Indigenous communities—can clarify when values have legitimate roles in regulatory science. (shrink)

Philosophers of science have argued that epistemic diversity is an asset for the production of scientific knowledge, guarding against the effects of biases, among other advantages. The growing privatization of scientific research, on the contrary, has raised important concerns for philosophers of science, especially with respect to the growing sources of biases in research that it seems to promote. Recently, Holman and Bruner ( 2017 ) have shown, using a modified version of Zollman ( 2010 ) social network model, that (...) an industrial selection bias can emerge in a scientific community, without corrupting any individual scientist, if the community is epistemically diverse. In this paper, we examine the strength of industrial selection using a reinforcement learning model, which simulates the process of industrial decision-making when allocating funding to scientific projects. Contrary to Holman and Bruner’s model, in which the probability of success of the agents when performing an action is given a priori, in our model the industry learns about the success rate of individual scientists and updates the probability of success on each round. The results of our simulations show that even without previous knowledge of the probability of success of an individual scientist, the industry is still able to disrupt scientific consensus. In fact, the more epistemically diverse the scientific community, the easier it is for the industry to move scientific consensus to the opposite conclusion. Interestingly, our model also shows that having a random funding agent seems to effectively counteract industrial selection bias. Accordingly, we consider the random allocation of funding for research projects as a strategy to counteract industrial selection bias, avoiding commercial exploitation of epistemically diverse communities. (shrink)

Desde los inicios del filosofar y de las ciencias, el ejercicio de controvertir ha estado presente para dinamizar la emergencia de ideas, el reconocimiento de hechos y la formulación de métodos que los seres humanos han articulado con el propósito de entender las realidades que los rodean. Sin embargo, el estudio sistemático del desacuerdo en las ciencias como problema en sí mismo es de muy reciente data. Incluso la dimensión histórica de las controversias fue eclipsada por otras cuestiones aparentemente más (...) relevantes en los procesos de transformación que ha tenido la filosofía de la ciencia en los últimos 150 años. (shrink)

El objetivo principal de este artículo es analizar los estudios que respaldan la aprobación y el uso del BiDil, el primer medicamento aprobado para uso exclusivo en población afroamericana en EE. UU., así como la controversia que surgió alrededor de este. En particular, mostraré que la controversia sobre el BiDil no debe entenderse como una controversia puramente epistémica, sino como una controversia compleja en la que convergen aspectos tanto epistémicos como ético-sociales y comerciales. Entender cómo están interrelacionados estos aspectos y (...) qué conocimiento podemos obtener dada la complejidad de estas interacciones resulta crucial para comprender la controversia sobre el BiDil, así como otras controversias científicas actuales. (shrink)

The aim of this chapter is to examine some of the key contributions of feminist philosophers of science to the study of ignorance. First, I provide a brief introduction to agnotology and its critical stance to traditional epistemology. Then, I illustrate how the study of ignorance can serve as a tool for feminist epistemology through an examination of case studies. In the third section, I examine the importance of ignorance studies for the feminist project in philosophy of science. Finally, in (...) the fourth section I suggest some new directions worth pursuing in this area. (shrink)

With an innovative perspective on the social character of ignorance production, agnotology has been a fruitful approach for understanding the social and epistemological consequences of the interaction between industry and scientific research. In this paper, I argue that agnotology, or the study of ignorance, contributes to a better understanding of commercially driven research and its societal impact, showing the ways in which industrial interests have reshaped the epistemic aims of traditional scientific practices, turning them into mechanisms of ignorance production. To (...) do so, I examine some of the main contributions to agnotology and provide a taxonomy of practices of ignorance construction common in commercially driven research today. In particular, I present the tobacco industry’s campaign against the health hazards of smoking as a paradigmatic case of ignorance production, identifying five central strategies. I then argue that the same strategies have been used in three other cases—global warming, pharmaceuticals, and the 2008 financial crisis. (shrink)

Due to its allegedly diverse population and strong doctor–patient relations, Latin America has become one of the most attractive locations for international clinical trials. In the paper, I examine the case of recruitment of women and minority patients to serve as subjects of international clinical trials, through CROs operating in Latin America. In particular, the paper examines some of the strategies that CROs use to expand their services in the Latin American medical market, illuminating the mechanisms through which the current (...) organization of medical research contributes to power imbalances in the Global South. After analyzing the epistemic and ethical shortcomings of such endeavor, I show how Latin American patients participating in clinical trials are located in a position of double disadvantage. First, they suffer the consequences of a lack of appropriate understanding of symptoms and reaction to treatment. Second, they suffer the consequences of being subjects in clinical trials which are not designed to meet their needs, but the needs of patients in the Global North. Accordingly, I conclude by highlighting the importance of this double disadvantage and suggesting that the problem can be understood in terms of a misalignment of commercial, ethical, and epistemic concerns in clinical research. (shrink)