Scientific Practice, Misc

It is sometimes said that simulation can serve as epistemic substitute for experimentation. Such a claim might be suggested by the fast-spreading use of computer simulation to investigate phenomena not accessible to experimentation (in astrophysics, ecology, economics, climatology, etc.). But what does that mean? The paper starts with a clarification of the terms of the issue and then focuses on two powerful arguments for the view that simulation and experimentation are ‘epistemically on a par’. One is based on the claim (...) that, in experimentation, no less than in simulation, it is not the system under study that is manipulated but a system that ‘stands-in’ for it. The other one highlights the pervasive use of models in experimentation. It will be argued that these arguments, as compelling as they might seem, are each based on a mistaken interpretation of experimentation and that, far from simulation and experimentation being epistemically on a par, they do not have the same epistemic function, do not produce the same kind of epistemic results. (shrink)

Three new versions of Wason’s 2-4-6 rule discovery task incorporating error rates or feedback of uncertainty reduction, inspired by the error-statistical account in philosophy of science, were employed. In experiments 1 and 2, participants were instructed that some experimenter feedback would be erroneous (control was original 2-4-6 without error). The results showed that performance was impaired when there was probabilistic error. In experiment 3, participants were given uncertainty reduction feedback as they generated different number triples and the negative effects of (...) probabilistic error were not observed. These findings are informative not only about rule discovery tasks in general but also about contexts of inference under uncertainty. (shrink)

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)

Peer review is often taken to be the main form of quality control on academic research. Usually journals carry this out. However, parts of maths and physics appear to have a parallel, crowd-sourced model of peer review, where papers are posted on the arXiv to be publicly discussed. In this paper we argue that crowd-sourced peer review is likely to do better than journal-solicited peer review at sorting papers by quality. Our argument rests on two key claims. First, crowd-sourced peer (...) review will lead on average to more reviewers per paper than journal-solicited peer review. Second, due to the wisdom of the crowds, more reviewers will tend to make better judgments than fewer. We make the second claim precise by looking at the Condorcet Jury Theorem as well as two related jury theorems developed specifically to apply to peer review. (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)

Some popular views of Ernst Mach cast him as a philosopher-scientist averse to imaginative practices in science. The aim of this analysis is to address the question of whether or not imagination is compatible with Machian philosophy of science. I conclude that imagination is not only compatible, but essential to realizing the aim of science in Mach’s biologico-economical view. I raise the possible objection that my conclusion is undermined by Mach’s criticism of Isaac Newton’s famous “bucket experiment.” I conclude that (...) Mach’s issue lies not with thought experimentation, tout court, but with the improper use of thought experimentation as it relates to the aim of the biologico-economical development of science. (shrink)

A wide variety of scientific research projects include public participation in roles going beyond the classic use of subjects in human subjects research. “Participatory research” is an umbrella term for such projects. In this chapter, we begin by surveying the variety of participatory research approaches across fields. We examine what goals participatory research projects seek to achieve, both of social and scientific value. Next, we apply this theoretical framework to challenges that participatory research faces. We then survey three typologies of (...) participatory research projects, each of which can illuminate and guide decisions in project development. We end with a look at participatory research approaches in health contexts, applying the theoretical resources we introduced earlier in the chapter. (shrink)

Paperwork plays a key role in a how institutions accommodate, refuse, or manage disabled people. This article develops modes for reading paperwork that build on each other, beginning with recognizing the institutional pressures at work in shaping bureaucratic practices, then considering how a person's relationship to disability influences how they might encounter these practices, and ultimately noticing how the encounter between disabled/mad people and an institution might create something new, what the author calls archival excess. These methods for reading are (...) in conversation with disability studies, medical humanities, and document studies, and ultimately work toward a goal adapted from the principles of Disability Justice: recognizing the wholeness of disabled subjects in institutional archives. (shrink)

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)

It is a common view among philosophers of science that theoretical virtues (also known as epistemic or cognitive values), such as simplicity and consistency, play an important role in scientific practice. In this paper, I set out to study the role that theoretical virtues play in scientific practice empirically. I apply the methods of data science, such as text mining and corpus analysis, to study large corpora of scientific texts in order to uncover patterns of usage. These patterns of usage, (...) in turn, might shed some light on the role that theoretical virtues play in scientific practice. Overall, the results of this empirical study suggest that scientists invoke theoretical virtues explicitly, albeit rather infrequently, when they talk about models (less than 30%), theories (less than 20%), and hypotheses (less than 15%) in their published works. To the extent that they are mentioned in scientific publications, the results of this study suggest that accuracy, consistency, and simplicity are the theoretical virtues that scientists invoke more frequently than the other theoretical virtues tested in this study. Interestingly, however, depending on whether they talk about hypotheses, theories, or models, scientists may invoke one of those theoretical virtues more than the others. (shrink)

Untersucht wird die These, dass die zunehmende Digitalisierung wissenschaftlicher Arbeitsprozesse einen nicht zu vernachlässigenden Einfluss auf das Problem des Vertrauensverlustes in wissenschaftliche Expertise ausüben kann. Zwar bieten die digitalen Medien einerseits die Möglichkeit, transparent über wissenschaftliche Ergebnisse zu berichten und dabei auch vielfältige Positionen zu beleuchten. Andererseits zeigt sich, dass die gegenwärtigen Instrumente der Wissenschaftskommunikation gerade diese Erwartungen nicht erfüllen. Letzteres wird mittels eines Fallbeispiels der Umgestaltung wissenschaftlicher Publikationsprozesse durch Datenbanken wie z.B. Scopus detailliert analysiert.

‘Visualisations play an important role in science’, this seems to be an uncontroversial statement today. Scientists not only use visual representations as means to communicate their research results in publications or talks, but also often as surrogates for their objects of interest during the process of research. Thus, we can make a distinction between two contexts of usage here, namely the explanatory and the exploratory context. The focus of this paper is on the latter one. Obviously, using visualisations as surrogates (...) for their objects of depiction presupposes the assumption that the former can tell us something relevant about the latter. Thus, a particular referential relation between object and image has to be assumed that can transfer the relevant information. Furthermore, as science is a collaborative enterprise – a social activity – this information has to be intersubjectively accessible and stable. Nonetheless, philosophers of science still quarrel about the epistemic and ontological status of such visualisations. After all, they are means to visualise theoretical entities, such as the Higgs Boson, i.e. entities that are principally not observable with the unaided eye. Especially the significant reliance on information technology devices to access this world of the unobservable provokes a lot of suspicion with regard to the referential status of such visualisations. In this sense, quite a few philosophers adopt social constructivism as an explanatory hypothesis. A particular image is constructed with the aid of instruments and theoretical assumptions; hence it does not refer to an entity outside this system. In this paper, I will critically analyse this assumption and try to argue for an alternative point of view. (shrink)

In recent decades, scholarship in the history of science has explored the emergence and development of sciences in which fields serve as privileged sites of knowledge production. Much of this work has focused on the field sciences’ formative period from the late nineteenth century to the mid-twentieth century, and it is the definitions of the field, fieldwork, and field science emerging from the study of this period that have come to dominate the historical literature. Those definitions cannot, however, account for (...) transformations that have taken place across many field sciences since the mid-twentieth century. Examining a diverse set of disciplines and contexts, the contributions to this Focus section reveal the specific conceptual and material contours of fields, fieldwork, and field sciences during this more recent period and suggest a number of unanswered questions and topics for future research. -/- . (shrink)

In the nineteenth and early twentieth centuries, scientific and technological developments made surgery safer, more reliable, and, with the corresponding increase in experimentation permitted, more exploratory and successful than ever before. The age of the heroic surgeon, however, obscured procedures that relied on the patient’s cooperation for a final, positive outcome. This essay focuses on the debates surrounding cleft palate surgery in Britain, Europe, and North America between about 1800 and 1930, where the constancy of failure dogged the surgeon, even (...) with improved operative surroundings. Although an anatomical correction could eventually be secured by surgery, without the patient’s participation in learning “normal” speech, the ultimate result was unsuccessful. Patient responsibility and self-control became, therefore, the key to success. By exploring what this meant for patients, their families, and surgeons, a new way of thinking about surgical outcomes, even during a period of increasing confidence in surgery, can be posited. -/- . (shrink)

Open science (OS) is considered the new paradigm for science and knowledge dissemination. OS fosters cooperative work and new ways of distributing knowledge by promoting effective data sharing (as early and broadly as possible) and a dynamic exchange of research outcomes, not only publications. On the other hand, intellectual property (IP) legislation seeks to balance the moral and economic rights of creators and inventors with the wider interests and needs of society. Managing knowledge outcomes in a new open research and (...) innovation ecosystem is challenging and should become part of the EU’s IP strategy, underpinning EU policies with the new open science–open innovation paradigm. (shrink)

Criticism is a staple of the scientific enterprise and of the social epistemology of science. Philosophical discussions of criticism have traditionally focused on its roles in relation to objectivity, confirmation, and theory choice. However, attention to criticism and to criticizability should also inform our thinking about scientific pursuits: the allocation of resources with the aim of developing scientific tools and ideas. In this paper, we offer an account of scientific pursuitworthiness which takes criticizability as its starting point. We call this (...) the apokritic model of pursuit. Its core ideas are that pursuits are practices governed by norms for asking and answering questions, and that criticism arises from the breach of these norms. We illustrate and advertise our approach using examples from institutional grant review, neuroscience, and sociology. We show that the apokritic model can unify several indices of criticizability, that it can account for the importance of criticizing pursuits in scientific practice, and that it can offer ameliorative advice to erstwhile pursuers. (shrink)

"When we think about mechanisms there are two general issues we need to consider. The first is broadly epistemic and has to do with the understanding of nature that identifying and knowing mechanisms yields. The second is broadly metaphysical and has to do with the status of mechanisms as building blocks of nature. These two issues can be brought together under a certain assumption, which has had long historical pedigree, namely that nature is fundamentally mechanical"--.

The Argument from Inductive Risk (AIR) is taken to show that values are inevitably involved in making judgements or forming beliefs. After reviewing this conclusion, I pose cases which are prima facie counterexamples: the unreflective application of conventions, use of black-boxed instruments, reliance on opaque algorithms, and unskilled observation reports. These cases are counterexamples to the AIR posed in ethical terms as a matter of personal values. Nevertheless, it need not be understood in those terms. The values which load a (...) theory choice may be those of institutions or past actors. This means that the challenge of responsibly handling inductive risk is not merely an ethical issue, but is also social, political, and historical. (shrink)

In the past few years, machine learning (ML) tools have been implemented with success in the medical context. However, several practitioners have raised concerns about the lack of transparency—at the algorithmic level—of many of these tools; and solutions from the field of explainable AI (XAI) have been seen as a way to open the ‘black box’ and make the tools more trustworthy. Recently, Alex London has argued that in the medical context we do not need machine learning tools to be (...) interpretable at the algorithmic level to make them trustworthy, as long as they meet some strict empirical desiderata. In this paper, we analyse and develop London’s position. In particular, we make two claims. First, we claim that London’s solution to the problem of trust can potentially address another problem, which is how to evaluate the reliability of ML tools in medicine for regulatory purposes. Second, we claim that to deal with this problem, we need to develop London’s views by shifting the focus from the opacity of algorithmic details to the opacity of the way in which ML tools are trained and built. We claim that to regulate AI tools and evaluate their reliability, agencies need an explanation of how ML tools have been built, which requires documenting and justifying the technical choices that practitioners have made in designing such tools. This is because different algorithmic designs may lead to different outcomes, and to the realization of different purposes. However, given that technical choices underlying algorithmic design are shaped by value-laden considerations, opening the black box of the design process means also making transparent and motivating (technical and ethical) values and preferences behind such choices. Using tools from philosophy of technology and philosophy of science, we elaborate a framework showing how an explanation of the training processes of ML tools in medicine should look like. (shrink)

This afterword to Species and Beyond provides some reflections on species, with special attention to what I think the most significant developments have been in the thinking of biologists and philosophers working on species over the past 25 years, as well as some bad jokes.

In this editorial, I explain how Paul Feyerabend's Principle of Proliferation is adopted and adapted as a publication model for the Journal of Knowledge Structures and Systems (JKSS). Critical views on the limitations of both non-dynamic publishing models and government- and industry-based models of research are expressed.

Originating in the field of biology, the concept of the hybrid has proved to be influential and effective in historical studies, too. Until now, however, the idea of hybrid knowledge has not been fully explored in the historiography of pre-modern science. This article examines the history of pre-Copernican astronomy and focuses on three case studies—Alexandria in the second century CE; Baghdad in the ninth century; and Constantinople in the fourteenth century—in which hybridization played a crucial role in the development of (...) astronomical knowledge and in philosophical controversies about the status of astronomy and astrology in scholarly and/or institutional settings. By establishing a comparative framework, this analysis of hybrid knowledge highlights different facets of hybridization and shows how processes of hybridization shaped scientific controversies. (shrink)

We argue that the main results of scientific papers may appropriately be published even if they are false, unjustified, and not believed to be true or justified by their author. To defend this claim we draw upon the literature studying the norms of assertion, and consider how they would apply if one attempted to hold claims made in scientific papers to their strictures, as assertions and discovery claims in scientific papers seem naturally analogous. We first use a case study of (...) William H. Bragg’s early 20th century work in physics to demonstrate that successful science has in fact violated these norms. We then argue that features of the social epistemic arrangement of science which are necessary for its long run success require that we do not hold claims of scientific results to their standards. We end by making a suggestion about the norms that it would be appropriate to hold scientific claims to, along with an explanation of why the social epistemology of science—considered as an instance of collective inquiry—would require such apparently lax norms for claims to be put forward. (shrink)

Public participation in scientific research has gained prominence in many scientific fields, but the theory of participatory research is still limited. In this paper, we suggest that the divergence of values and goals between academic researchers and public participants in research is key to analyzing the different forms this research takes. We examine two existing characterizations of participatory research: one in terms of public participants' role in the research, the other in terms of the virtues of the research. In our (...) view, each of these captures an important feature of participatory research but is, on its own, limited in what features it takes into account. We introduce an expanded conception of norms of collaboration that extends to both academic researchers and public participants. We suggest that satisfying these norms requires consideration of the two groups' possibly divergent values and goals, and that a broad characterization of participatory research that starts from participants' values and goals can motivate both public participants’ role in the research and the virtues of the research. The resulting framework clarifies the similarities and differences among participatory projects and can help guide the responsible design of such projects. (shrink)

Prepublication peer review should be abolished. We consider the effects that such a change will have on the social structure of science, paying particular attention to the changed incentive structure and the likely effects on the behaviour of individual scientists. We evaluate these changes from the perspective of epistemic consequentialism. We find that where the effects of abolishing prepublication peer review can be evaluated with a reasonable level of confidence based on presently available evidence, they are either positive or neutral. (...) We conclude that on present evidence abolishing peer review weakly dominates the status quo. (shrink)

In this work, we explore the epistemic import of the value-ladenness of Neyman-Pearson’s Theory of Testing Hypotheses by reconstructing and extending Daniel Steel’s argument for the legitimate influence of pragmatic values on scientific inference. We focus on how to properly understand N-P’s pragmatic value-ladenness and the epistemic reliability of N-P. We develop an account of the twofold influence of pragmatic values on N-P’s epistemic reliability and replicability. We refer to these two distinguished aspects as “direct” and “indirect”. We discuss the (...) replicability of experiments in terms of the indirect aspect and the replicability of outcomes in terms of the direct aspect. We argue that the influence of pragmatic values is beneficial to N-P’s epistemic reliability and replicability indirectly. We show that while the direct influence of pragmatic values can be beneficial, its negative effects on reliability and replicability are also unavoidable in some cases, with the direct and indirect aspects possibly being incongruent. (shrink)

The aim of this paper is to give an account of the change in Feyerabend's philosophy that made him abandon methodological monism and embrace methodological pluralism. In this paper I offer an explanation in terms of a simple model of 'change of belief through evidence'. My main claim is that the evidence triggering this belief revision can be identified in Feyerabend's technical work in the interpretation of quantum mechanics, in particular his reevaluation of Bohr's contribution to it. This highlights an (...) under-appreciated part of Feyerabend's early work and makes it central to an understanding of the dynamics in his overall philosophy of science. (shrink)

Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyze large volumes of scientific literature. Here (...) we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of DH tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of DH tools requires critical reflection about these relationships. (shrink)

Scientists often diverge widely when choosing between research programs. This can seem to be rooted in disagreements about which of several theories, competing to address shared questions or phenomena, is currently the most epistemically or explanatorily valuable—i.e. most successful. But many such cases are actually more directly rooted in differing judgments of pursuit-worthiness, concerning which theory will be best down the line, or which addresses the most significant data or questions. Using case studies from 16th-century astronomy and 20th-century geology and (...) biology, I argue that divergent theory choice is thus often driven by considerations of scientific process, even where direct epistemic or explanatory evaluation of its final products appears more relevant. Broadly following Kuhn’s analysis of theoretical virtues, I suggest that widely shared criteria for pursuit-worthiness function as imprecise, mutually-conflicting values. However, even Kuhn and others sensitive to pragmatic dimensions of theory ‘acceptance’, including the virtue of fruitfulness, still commonly understate the role of pursuit-worthiness—especially by exaggerating the impact of more present-oriented virtues, or failing to stress how ‘competing’ theories excel at addressing different questions or data. This framework clarifies the nature of the choice and competition involved in theory choice, and the role of alternative theoretical virtues. (shrink)

In this paper, we use the case of the COVID-19 pandemic in Europe to address the question of what kind of knowledge we should incorporate into public health policy. We show that policy-making during the COVID-19 pandemic has been biomedicine-centric in that its evidential basis marginalised input from non-biomedical disciplines. We then argue that in particular the social sciences could contribute essential expertise and evidence to public health policy in times of biomedical emergencies and that we should thus strive for (...) a tighter integration of the social sciences in future evidence-based policy-making. This demand faces challenges on different levels, which we identify and discuss as potential inhibitors for a more pluralistic evidential basis. (shrink)

The aim of this paper is to contribute to the debate over the nature of scientific progress in philosophy of science by taking a quantitative, corpus-based approach. By employing the methods of data science and corpus linguistics, the following philosophical accounts of scientific progress are tested empirically: the semantic account of scientific progress, the epistemic account of scientific progress, and the noetic account of scientific progress. Overall, the results of this quantitative, corpus-based study lend some empirical support to the epistemic (...) and the noetic accounts over the semantic account of scientific progress, for they suggest that practicing scientists use the terms ‘knowledge’ and ‘understanding’ significantly more often than the term ‘truth’ when they talk about the aims or goals of scientific research in their published works. But the results do not favor the epistemic account over the noetic account, or vice versa, for they reveal no significant differences between the frequency with which practicing scientists use the terms ‘knowledge’ and ‘understanding’ when they talk about the aims or goals of scientific research in their published works. (shrink)

Inter- and transdisciplinary research arise as necessary conditions to address societal problems. These collaborations, by definition, encompass experts from distinct domains, demanding an epistemic dependence between researchers. In such cases where, additionally, an epistemic asymmetry exists, this might then lead to tensions and enhance epistemic disagreements. How should scholars behave when in peer disagreement? On the one hand, in philosophical literature on the epistemology of disagreement, normative accounts about how one should respond when facing an epistemic disagreement are usually built (...) upon hypothetical scenarios that do not portray real-life disagreements in scientific settings. On the other hand, Science and Technology Studies (STS) research that deals with academic and scientific disagreement typically uses a descriptive, empirical approach. We argue that before a normative account of responses to disagreement is developed, we need to understand how academic disagreement actually takes place in real interdisciplinary scientific practice. In this chapter, we address a case of academic disagreement within an interdisciplinary research team in Brazil during their development of a framework for transdisciplinary collaboration. Data was collected with ethnographic tools, while the analytic perspective of the investigation is grounded on recent debates about research groups in social epistemology and in the epistemology of disagreement. We will show that an interplay between trust and disagreement is required for dealing with inter- and transdisciplinary research practices. We hold that shedding light on disagreements and communications between collaborators may improve the epistemic performance of collaborative research teams by refining the dynamics of inter- and transdisciplinary investigations. (shrink)

This chapter relocates the debate about the theoretical virtues to the empirical level and argues that the question of whether the virtues (and what virtues, if any) have epistemic import is best answered empirically, through an examination of actual scientific theories and hypotheses in the history of science. As a concrete example of this approach, the chapter discusses a case study from the mid-nineteenth-century debate about the transmissibility of puerperal fever. It argues that this case shows that the virtues are (...) at least sometimes epistemic, but also that neither scientific realists nor anti-realists get it quite right: the virtues, even if epistemic, are not necessarily truth-conducive, but neither are they merely pragmatic. It also argues that the discussion of puerperal fever shows that the virtue question, as it is currently featured in the scientific realism debate, ought to be reformulated. We should examine not just whether a given scientific theory has virtues or not, but rather how debates among competing theories, all of which have some virtues, get resolved. (shrink)

Interpreting Kuhn provides a comprehensive, up-to-date study of Thomas Kuhn's philosophy and legacy. With twelve essays newly written by an international group of scholars, it covers a wide range of topics where Kuhn had an influence. Part I deals with foundational issues such as Kuhn's metaphysical assumptions, his relationship to Kant and Kantian philosophy, as well as contextual influences on his writing, including Cold War psychology and art. Part II tackles three Kuhnian concepts: normal science, incommensurability, and scientific revolutions. Part (...) III deals with the Copernican Revolution in astronomy, the theory-ladenness of observation, scientific discovery, Kuhn's evolutionary analogies, and his theoretical monism. The volume is an ideal resource for advanced students seeking an overview of Kuhn's philosophy, and for specialists following the development of Kuhn scholarship. (shrink)

This article offers a characterization of what I call multiple-models juxtaposition, a strategy for managing trade-offs among modeling desiderata. MMJ displays models of distinct phenomena to...

Comparative psychology, the multidisciplinary study of animal behavior and psychology, confronts the challenge of how to study animals we find cute and easy to anthropomorphize, and animals we find odd and easy to objectify, without letting these biases negatively impact the science. In this Element, Kristin Andrews identifies and critically examines the principles of comparative psychology and shows how they can introduce other biases by objectifying animal subjects and encouraging scientists to remain detached. Andrews outlines the scientific benefits of treating (...) animals as sentient research participants who come from their own social contexts and with whom we will be in relationship. With discussions of science's quest for objectivity, worries about romantic and killjoy theories, and debates about chimpanzee cognition between primatologists who work in the field and those in the lab, Andrews shows how scientists can address the different biases through greater integration of the subdisciplines of comparative psychology. (shrink)

I defend an interpretation of Aristotle’s Posterior Analytics Book I which distinguishes between two projects in different passages of that work: (i) to explain what a given science is and (ii) to explain what properly scientific knowledge is. I present Aristotle’s theory in answer to ii, with special attention to his definition of scientific knowledge in 71b9-12 and showing how this is developed on chapters I.2-9 and I.13 into a solid Theory of Scientific Demonstration. The main point of this theory (...) is that demonstrations need to capture relevant explanations. Some formal requirements of the demonstration (as the syllogistic structure and coextension between terms) are unfoldings of the main project, i.e., to capture and present properly relevant causal-explanatory relations. (shrink)

Philosophy of science attempts to reconstruct science as a rational cognitive enterprise. In doing so, it depicts a normative ideal of knowledge acquisition and does not primarily seek to describe actual scientific practice in an empirically adequate way. A comprehensive picture of what good science consists in may serve as a standard against which we evaluate and criticize actual scientific practices. Such a normative picture may also explain why it is reasonable for us to trust scientists – to the extent (...) that they live up to the ideal – and to rely on their findings in decision making. Likewise, a sound normative understanding of science exposes the limits of scientific understanding and prevents us from placing blind faith in scientists and experts. For these reasons, philosophy of science represents a useful resource and background theory for the practice and study of science communication. In this handbook article, we provide an opinionated introduction to philosophy of science by flashing a light on 22 central issues which (we think) are of special interest to scholars and practitioners of science communication – and, in particular, to scholars and practitioners of external science communication. (shrink)

In this commentary, I discuss the scientific changes brought by the exposome, asking what is new about this approach and line of research. I place the exposome in a historical perspective, by analyzing the conditions under which the exposome has been conceived, developed and established in the context of contemporary epidemiological research. I argue that the exposome has been developed by transferring approaches, methods and conceptualizations from other lines of research in the life and health sciences. I thus discuss the (...) conceptual and methodological innovations of the exposome as a result of the merging and adaptation of these elements for new uses and purposes. On this basis, I argue that the novelty of the exposome should be seen in incremental rather than revolutionary terms and, in this sense, the exposome shares significant elements with other projects and repertoires in postgenomics. I conclude by discussing the consequences of this analysis for the potential limitations and future development of exposome research. (shrink)

Multiple determination is the epistemic strategy of establishing the same result by means of multiple, independent procedures. It is an important strategy praised by both philosophers of science and practicing scientists. Despite the heavy appeal to multiple determination, little analysis has been provided regarding the specific grounds upon which its epistemic virtues rest. This article distinguishes between the various dimensions of multiple determination and shows how they can be used to evaluate the epistemic force of the strategy in particular cases. (...) Distinguishing between the various dimensions helps to resolve the disagreements regarding the relevance and epistemic import of multiple determination for scientific research. It also suggests a fruitful mode of interaction between the philosophy of science and accounts of scientific practice. (shrink)

In this paper, I argue for a distinction between two scales of coordination in scientific inquiry, through which I reassess Georg Simon Ohm’s work on conductivity and resistance. Firstly, I propose to distinguish between measurement coordination, which refers to the specific problem of how to justify the attribution of values to a quantity by using a certain measurement procedure, and general coordination, which refers to the broader issue of justifying the representation of an empirical regularity by means of abstract mathematical (...) tools. Secondly, I argue that the development of Ohm’s measurement practice between the first and the second experimental phase of his work involved the change of the measurement coordination on which he relied to express his empirical results. By showing how Ohm relied on different calibration assumptions and practices across the two phases, I demonstrate that the concurrent change of both Ohm’s experimental apparatus and the variable that Ohm measured should be viewed based on the different form of measurement coordination. Finally, I argue that Ohm’s assumption that tension is equally distributed in the circuit is best understood as part of the general coordination between Ohm’s law and the empirical regularity that it expresses, rather than measurement coordination. (shrink)

To believe that every single scientist ought to be individually engaged in ethical thinking in order for science to be responsible at a collective level may be too demanding, if not plainly unrealistic. In fact, ethical labor is typically distributed across different kinds of scientists within the scientific community. Based on the empirical data collected within the Horizon 2020 ‘RRI-Practice’ project, we propose a classification of the members of the scientific community depending on their engagement in this collective activity. Our (...) classification offers, on the one hand, a model of how the ethical aspects of science are taken into consideration by scientists and, on the other, some indications on how to institutionalize ethics in science. (shrink)

Examining tensions between the past and present uses of scientific concepts can help clarify their contributions as tools in experimental practices. This point can be illustrated by considering the concepts of mental imagery and hallucinations: despite debates over their respective referential reliabilities remaining unresolved within their interdependent histories, both are used as independently stable concepts in neuroimaging experiments. Building on an account of how these concepts function as tools structured for pursuit of diverging goals in experiments, this paper explores this (...) tension by re-examining the continued reliance of each concept on inverse characterisations inherited from the nominally-discarded ‘mediator-view’ of sensory-like mental phenomena (SLMP). In doing so, I seek to demonstrate how examining unresolved tensions can help highlight that entrenched associations can remain both integral to, and obscured by, the uses of concepts as goal-directed tools within experimental practices. (shrink)

La comunidad científica debe acordar cuál es la información esencial que hay que comunicar al retirar un artículo.

In his account of scientific revolutions, Thomas Kuhn suggests that after a revolutionary change of theory, it is as if scientists are working in a different world. In this paper, we aim to show that the notion of world change is insightful. We contrast the reporting of the discovery of neon in 1898 with the discovery of hafnium in 1923. The one discovery was made when elements were identified by their atomic weight; the other discovery was made after scientists came (...) to classify elements by their atomic number. By considering two instances of the reporting of the discovery of a new chemical element 25 years apart, we argue that it becomes clear how chemists can be said to have been responding to different worlds as a result of the change in the concept of a chemical element. They saw, did, and reported different things as they conducted their research on the new chemical elements. (shrink)

Many questions about the fundamentals of some area take the form “What is …?” It does not come as a surprise then that, at the dawn of Western philosophy, Socrates asked the questions of what piety, courage, and justice are. Nor is it a wonder that the philosophical preoccupation with computer simulations centered, among other things, about the question of what computer simulations are. Very often, this question has been answered by stating that computer simulation is a species of a (...) well-known method, e.g., experimentation. Other answers claim at least a close relationship between computer simulation and another method. In any case, correct answers to the question of what a computer simulation is should help us to better understand what validation of simulations is. The aim of this chapter is to discuss the most important proposals to understand computer simulation in terms of another method and to trace consequences for validation. Although it has sometimes been claimed that computer simulations are experiments, there are strong reasons to reject this view. A more appropriate proposal is to say that computer simulations often model experiments. This implies that the simulation scientists should to some extent imitate the validation of an experiment. But the validation of computer simulations turns out to be more comprehensive. Computer simulations have also been conceptualized as thought experimentsThought experiment or close cousins of the latter. This seems true, but not very telling since thought experiments are not a standardStandard method and since it is controversial how they contribute to our acquisition of knowledge. I thus consider a specific view on thought experiments to make some progress on understanding simulations and their validation. There is finally a close connection between computer simulation and modeling, and it can be shown that the validation of a computer simulation is the validation of a specific model, which may either be thought to be mathematical or fictional. (shrink)

This chapter clarifies the concept of validation of computer simulations by comparing various definitions that have been proposed for the notion. While the definitions agree in taking validation to be an evaluationEvaluation, they differ on the following questions: What exactly is evaluated—results from a computer simulation, a model, a computer codeCode? What are the standardsStandard of evaluationEvaluation––truthTruth, accuracyAccuracy, and credibilityCredibility or also something else? What type of verdict does validation lead to––that the simulation is such and such good, or that (...) it passes a testTest defined by a certain threshold? How strong needs the case to be for the verdict? Does validation necessarily proceed by comparing simulation outputsOutput with measured dataData? Along with these questions, the chapter explains notions that figure prominently in them, e.g., the concepts of accuracy and credibility. It further discusses natural answers to the questions as well as arguments that speak in favor and against these answers. The aim is to obtain a better understandingUnderstanding of the options we have for defining validation and how they are related to each other. (shrink)

The overflow of scientific literature stimulates poor reading habits which can aggravate science's reproducibility crisis. Thus, solving the reproducibility crisis demands not only methodological changes, but also changes in our relationship with the scientific literature, especially our reading habits. Importantly, this does not mean reading more, it means reading better.