ArgumentIn the United States, scientific knowledge is brought before the courts by way of testimony – the testimony of scientific experts. We argue that this expertise is best understoodfirstas related to the quality of the underlying scienceand thenin terms of who delivers it. Bloodstain pattern analysis (BPA), a contemporary forensic science, serves as the vaulting point for our exploration of objectivity as a metric for the quality of a science in judicial contexts. We argue that BPA fails to meet the (...) minimal standard set by Helen Longino’s social-procedural account of objectivity (1990, 2002). In light of some pressing issues for social-procedural accounts, we offer an infrastructural account of objectivity. This account offers what amounts to a friendly amendment to Longino’s account and adds to the ways in which we might analyze social-procedural objectivity. Finally, we address an issue that is pressing in the legal context: given that scientific knowledge is delivered by individuals, not communities, at least in U.S. courts, we (may) need a way to evaluate individual scientific and epistemic agents. We suggest a means for making this evaluation that is derived from our infrastructural account of objectivity. (shrink)

Science progresses through debate and disagreement, and scientific controversies play a crucial role in the growth of scientific knowledge. However, not all controversies and disagreements are progressive in science. Sometimes, controversies can be pseudoscientific; in fact, bogus controversies, and what seem like genuine scientific disagreements, can be a distortion of science set up by non-scientific actors. Bogus controversies are detrimental to science because they can hinder scientific progress and eventually bias science-based decisions. The first goal of this paper is to (...) elucidate the distinction between bogus and genuine scientific controversies and provide a qualitative methodology, based on the literature on expertise, for distinguishing between the two. We will illustrate six epistemic criteria for distinguishing bogus from genuine scientific debates in science and medicine. This heuristic strategy applies directly to scientific reports, and it relies mostly on the social structure of science. We will then apply the above criteria to a case study: the controversy over statins, which are widely prescribed drugs for reducing the level of cholesterol and preventing cardiovascular disease. (shrink)

In this paper, I argue for a new way to understand the integration of facts and values in the concept of mental disorder that has the potential to avoid the flaws of previous hybrid approaches. I import conceptual tools from the account of procedural objectivity defended by Helen Longino to resolve the controversy over the definition of mental disorder. My argument is threefold: I first sketch the history of the debate opposing objectivists and constructivists and focus on the criticisms that (...) led to the emergence of the debate. Second, I offer a reconstruction of the “Natural Function Approach” argument to make explicit an unsound assumption underlying this approach. The reconstruction will allow me to show that the NFO’s argument depends on the ideal of value-free science that I will criticize. Then I propose an alternative ideal for psychiatry: social objectivity. I argue that the concept of mental health should be seen as “socially objective” rather than value-free, moving the debate towards the social procedures by which the definition is produced rather than the normative and factual content of its definition. (shrink)

I argue that in epistemically well-designed scientific communities, scientists are united by mutual epistemic responsibilities, and epistemic responsibilities are understood not merely as epistemic but also as moral duties. Epistemic responsibilities can be understood as moral duties because they contribute to the well-being of other human beings by showing respect for them, especially in their capacity as knowers. A moral account of epistemically responsible behaviour is needed to supplement accounts that appeal to scientists’ self-interests or personal epistemic goals. This is (...) because neither the self-interest nor the epistemic account can always explain why it is rational for an individual scientist to be epistemically responsible. (shrink)

The article examines the process of niche standardization in medical research as an example of democratizing strategies implemented in industry-funded science. I argue that niche standardization can lead to undesirable epistemic and ethical consequences, if the various goals of research are not properly aligned. I examine two examples: the case of Sarafem, approved for the treatment of premenstrual dysphoric disorder in women, and the case of BiDil, approved for exclusive use in African Americans for the treatment of congestive heart failure. (...) I conclude by cautioning against the unqualified support of democratizing strategies in industry-funded research. (shrink)

I examine ramifications of the widespread view that scientific objectivity gives us a permission to trust scientific knowledge claims. According to a widely accepted account of trust and trustworthiness, trust in scientific knowledge claims involves both reliance on the claims and trust in scientists who present the claims, and trustworthiness depends on expertise, honesty, and social responsibility. Given this account, scientific objectivity turns out to be a hybrid concept with both an epistemic and a moral-political dimension. The epistemic dimension tells (...) us when scientific knowledge claims are reliable, and the moral-political dimension tells us when we can trust scientists to be socially responsible. While the former dimension has received a fair amount of attention, the latter is in need of analysis. I examine what it means for scientists to be socially responsible, that is, to follow “sound” moral and social values in different stages of scientific inquiry. Social responsibility is especially important when scientists function as experts in society. Members of the public and policymakers do not want to rely on scientific research shaped by moral and social values they have good reasons to reject. Moreover, social responsibility is important in social research in which moral and social values can legitimately play many roles. I discuss the strengths and weaknesses of different answers to the question of how social scientists can identify appropriate moral and social values to inform their research. I argue that procedural accounts of social responsibility, such as well-ordered science and deliberative polling, have limitations. (shrink)