Sociology of Science

In this article I take a critical look at the origins and sources of Bruno Latour's pluralism as it is expressed in his book AN INQUIRY INTO MODES OF EXISTENCE, and compare it to other similar projects (Wittgenstein, Feyerabend, Badiou). I consider the accusations of reductionism and of relativism, and demonstrate that Latour's «empirical metaphysics» is not an ontological reductionism but a pluralist ontology recognising the existence of a plurality of entities and of types of entities. Nor is it an (...) epistemological relativism but an ontological pluralism affirming the existence of a plurality of types of existence. These two strands, pluralist ontology and ontological pluralism, mutually reinforce each other to produce at least the outlines of a robust pluralist realism. (shrink)

In the first part of this paper, I will sketch the main features of traditional models of evidence, indicating idealizations in such models that I regard as doing more harm than good. I will then proceed to elaborate on an alternative model of evidence that is functionalist, complex, dynamic, and contextual, which I will call DYNAMIC EVIDENTIAL FUNCTIONALISM. I will demonstrate its application to an illuminating example of scientific inquiry, and defend it from some likely objections. In the second part, (...) I will use that alternative to solve a variety of classic and contemporary problems in the literature on scientific evidence having to do with the empirical basis of science and the use of evidence in public policy. (shrink)

WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science, and provides a vocabulary for talking about the problems of doing so. It can be used to demonstrate that a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology for effectively doing science. WikiSilo is simultaneously similar to and distinct, as well as integrated and separated (...) from Wikipedia™. This paper will introduce the advantages of WikiSilo for use in the Cognitive Sciences. (shrink)

A qualitative and quantitative understanding of disease variables in relation to local understandings and values is an important dimension that broadens traditional evidence-based medicine (EBM) and is necessary in order to navigate the social perspectives of policymakers. There are dimensions of this research that share the values and practices of feminist research. This paper offers an epistemological analysis of theory and practice that can provide more effective outcomes in women’s health. PATH (Policy Advisory Towards Health) for women, bridges the knowledge (...) gap between research and direct service by providing translational support for community organizations’ legislative policy agendas. (shrink)

This paper constitutes a radical departure from the existing philosophical literature on models, modeling-practices, and model-based science. I argue that the various entities and practices called 'models' and 'modeling-practices' are too diverse, too context-sensitive, and serve too many scientific purposes and roles, as to allow for a general philosophical analysis. From this recognition an alternative view emerges that I shall dub model anarchism.

It is mostly agreed that Popper's criterion of falsifiability fails to provide a useful demarcation between science and pseudo-science, because ad-hoc assumptions are always able to save any theory that conflicts with the empirical data, and a characterization of ad-hoc assumptions is lacking. Moreover, adding some testable predictions is not very difficult. It should be emphasized that the Duhem-Quine argument does not simply make the demarcation approximate, but it makes it totally useless. Indeed, no philosophical criterion of demarcation is presently (...) able to rule out even some of the most blatant cases of pseudo-science, not even approximatively. This is in sharp contrast with our firm belief that some theories are clearly not scientific. Where does this belief come from? In this paper I argue that it is necessary and possible to recognize the notion of syntactic simplicity that is able to tell the difference between empirically equivalent scientific and non-scientific theories, with a precision that is adequate to many important practical purposes, and it fully agrees with the judgments generally held in the scientific community. (shrink)

Trust in the scientific enterprise — in science as an institution — is arguably important to individuals’ and societies’ well-being. Although some measures of public trust in science exist, the recipients of that trust are often ambiguous between trusting individual scientists and the scientific community at large. We argue that more precision would be beneficial — specifically, targeting public trust of the scientific community at large — and describe the development and validation of such an instrument: the Scientific Community Trust (...) Index (SCTI). We show the results of initial field testing to establish instrument reliability and validity. We then demonstrate certain advantages of the SCTI against other measures of trust and deference, and present correlations between the SCTI and participant scores in two trust-in-science scenarios. Our results suggest that the SCTI is a useful and compact tool for measuring public trust in the scientific community. (shrink)

Basic concepts in sociology, particularly theoretical sociology, are of a philosopical nature. Like all other branches of science, sociology has its origins in philosophy and has been nourished by it for centuries. Moreover, the subject of this science, in a general sense, is man, who is himself a supernatural existence and needs to know about this field of knowledge.

The authorship policies of scientific journals often assume that in order to be able to properly place credit and responsibility for the content of a collaborative paper we should be able to distinguish the contributions of the various individuals involved. Hence, many journals have introduced a requirement for author contribution statements aimed at making it easier to place credit and responsibility on individual scientists. We argue that from a purely descriptive point of view the practices of collaborating scientists are at (...) odds with the requirement for author contribution statements. We also argue that from a normative point of view the authorship policies may be unnecessary. Our arguments draw on an examination of 35 years of retraction notices in the journal Science. (shrink)

Retractions are rare in science, but there is growing concern about the impact retracted papers have. We present data on the retractions in the journal Science, between 1983 and 2017. Each year, approximately 2.6 papers are retracted; that is about 0.34% of the papers published in the journal. 30% of the retracted papers are retracted within 1 year of publication. Some papers are retracted almost 12 years after publication. 51% of the retracted papers are retracted due to honest mistakes. Smaller (...) research teams of 2–4 scientists are responsible for a disproportionately larger share of the retracted papers especially when it comes to retractions due to honest mistakes. In 60% of the cases all authors sign the retraction notice. (shrink)

In this paper, I distinguish three general approaches to public trust in science, which I call the individual approach, the semi-social approach, and the social approach, and critically examine their proposed solutions to what I call the problem of harmful distrust. I argue that, despite their differences, the individual and the semi-social approaches see the solution to the problem of harmful distrust as consisting primarily in trying to persuade individual citizens to trust science and that both approaches face two general (...) problems, which I call the problem of overidealizing science and the problem of overburdening citizens. I then argue that in order to avoid these problems we need to embrace a (thoroughly) social approach to public trust in science, which emphasizes the social dimensions of the reception, transmission, and uptake of scientific knowledge in society and the ways in which social forces influence both positively and negatively the trustworthiness of science. (shrink)

Rival causal and interpretive approaches to explaining social phenomena have important ethical differences. While human actions can be explained as a result of causal mechanisms, as a meaningful choice based on reasons, or as some combination of the two, it is morally important that social scientists respect others by recognizing them as persons. Interpretive explanations directly respect their subjects in this way, while purely causal explanations do not. Yet although causal explanations are not themselves expressions of respect, they can be (...) used in respectful ways if they are incorporated into subjects’ self-directed projects. This can occur when subjects correctly understand and freely adopt researchers’ goals through a process of informed consent. It can also occur when researchers correctly understand and adopt their subject’s goals, using their research to empower those they study. (shrink)

This paper investigates how the credit incentive to engage in questionable research practices interacts with cumulative advantage, the process whereby high-status academics more easily increase their status than low-status academics. I use a mathematical model to highlight two dynamics that have not yet received much attention. First, due to cumulative advantage, questionable research practices may pay off over the course of an academic career even if they are not attractive at the level of individual publications. Second, because of the role (...) of bottleneck moments in academic careers, questionable research practices may be selected for even if they do not provide a benefit in expectation. I also observe that, within the model, the most successful academics are the most likely to have benefited from fraud. (shrink)

Convergence research is driven by specific and compelling problems and requires deep integration across disciplines. The potential of convergence research is widely recognized, but questions remain about how to design, facilitate, and assess such research. Here we analyze a seven-year, twelve-million-dollar convergence project on sustainable climate risk management to answer two questions. First, what is the impact of a project-level emphasis on the values that motivate and tie convergence research to the compelling problems? Second, how does participation in convergence projects (...) shape the research of postdoctoral scholars who are still in the process of establishing themselves professionally? We use an interview-based approach to characterize what the project specifically enabled in each participant’s research. We find that (a) the project pushed participants’ research into better alignment with the motivating concept of convergence research and that this effect was stronger for postdoctoral scholars than for more senior faculty. (b) Postdocs’ self-assessed understanding of key project themes, however, appears unconnected to metrics of project participation, raising questions about training and integration. Regarding values, (c) the project enabled heightened attention to values in the research of a large minority of participants. (d) Participants strongly believe in the importance of explicitly reflecting on values that motivate and pervade scientific research, but they question their own understanding of how to put value-focused science into practice. This mismatch of perceived importance with poor understanding highlights an unmet need in the practice of convergence science. (shrink)

This is a review of The Turing Guide (2017), written by Jack Copeland, Jonathan Bowen, Mark Sprevak, Robin Wilson, and others. The review includes a new sociological approach to the problem of computability in physics.

On the surface, developing a social psychology of science seems compelling as a way to understand how individual social cognition – in aggregate – contributes towards individual and group behavior within scientific communities (Kitcher, 2002). However, in cases where the functional input-output profile of psychological processes cannot be mapped directly onto the observed behavior of working scientists, it becomes clear that the relationship between psychological claims and normative philosophy of science should be refined. For example, a robust body of social (...) psychological research demonstrates implicit gender bias in the evaluation of others (e.g., Steinpreis, Anders, & Ritzke, 1999). Many expected implicit bias to be a major cause of women’s underrepresentation in math intensive fields of science; however, quantitative sociological research of hiring and manuscript and grant evaluation has discovered no gender disparity in outcomes (Ceci & Williams, 2011). Why might this be so? This paper will discuss methodological challenges that go beyond classic problems of external validity in extrapolating psychological effects and explanations to scientific communities. These problems include more complex external validity issues raised by the introduction of multi-process models of cognition (e.g., implicit versus explicit social cognition) as well as the reflexive role that folk and experimental theories of social psychology play in guiding the behavior of scientists at the individual and community level. (shrink)

Much work performed under the banner of social epistemology still centers the problems of the individual cognitive agent. AU distinguishes multiple senses of "social," some of which are more social than others, and argues that different senses are at work in various contributions to social epistemology. Drawing on work in history and philosophy of science and addressing the literature on testimony and disagreement in particular, this paper argues for a more thoroughgoing approach in social epistemology.

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such a risk arises when scientific claims cause cognitive or behavioral changes in the audience that contribute to the self-fulfillment of these claims. Focusing on such effects, I argue that the ethical and epistemic problem that they pose is likely to be much broader than hitherto appreciated. Moreover, it is often due to a psychological phenomenon that has been neglected in the (...) research on science communication, namely that many people tend to conform to descriptive norms, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication can produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such a strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

Social and medical scientists frequently produce empirical generalizations that involve concepts partly defined by value judgments. These generalizations, which have been called ‘mixed claims’, raise interesting questions. Does the presence of them in science imply that science is value-laden? Is the value-ladenness of mixed claims special compared to other kinds of value-ladenness of science? Do we lose epistemically if we reformulate these claims as conditional statements? And if we want to allow mixed claims in science, do we need a new (...) account of how to reconcile values with objectivity? Alexandrova (2017, 2018) offers affirmative answers to these questions. In responding to Alexandrova’s arguments, this discussion note motivates negative ones and in doing so casts new light on mixed claims. (shrink)

In the philosophy of science, it is a common proposal that values are illegitimate in science and should be counteracted whenever they drive inquiry to the confirmation of predetermined conclusions. Drawing on recent cognitive scientific research on human reasoning and confirmation bias, I argue that this view should be rejected. Advocates of it have overlooked that values that drive inquiry to the confirmation of predetermined conclusions can contribute to the reliability of scientific inquiry at the group level even when they (...) negatively affect an individual’s cognition. This casts doubt on the proposal that such values should always be illegitimate in science. It also suggests that advocates of that proposal assume a narrow, individualistic account of science that threatens to undermine their own project of ensuring reliable belief formation in science. (shrink)

According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model which captures the role of ‘ability’ in a meaningful way, and use it to explore the trade-offs between diversity and ability (...) in scientific problem solving. (shrink)

Errors in the history of economic analysis often remain uncorrected for long periods due to positive epistemic costs (PEC) involved in allocating time to going back over what older generations wrote. In order to demonstrate this in a case study, the economists’ practice of the “Coase Theorem” is reconsidered from a PEC point of view.