List of Illustrations Introduction 1 The Didactic and the Elegant: Some Thoughts on Scientific and Technological Illustrations in the Middle Ages and Renaissance 3 2 Temples of the Body and Temples of the Cosmos: Vision and Visualization in the Vesalian and Copernican Revolutions 40 3 Descartes’s Scientific Illustrations and ’la grande mecanique de la nature’ 86 4 Illustrating Chemistry 135 5 Representations of the Natural System in the Nineteenth Century 164 6 Visual Representation in Archaeology: Depicting the Missing-Link in Human (...) Origins 184 7 Towards an Epistemology of Scientific Illustration 215 8 Illustration and Inference 250 9 Visual Models and Scientific Judgment 269 10 Are Pictures Really Necessary? The Case of Sewall Wright’s ’Adaptive Landscapes’ 303 Bibliography 339 Notes on Contributors 373 Index 377. (shrink)

The frequent occurrence of comorbidity has brought about an extensive theoretical debate in psychiatry. Why are the rates of psychiatric comorbidity so high and what are their implications for the ontological and epistemological status of comorbid psychiatric diseases? Current explanations focus either on classification choices or on causal ties between disorders. Based on empirical and philosophical arguments, we propose a conventionalist interpretation of psychiatric comorbidity instead. We argue that a conventionalist approach fits well with research and clinical practice and resolves (...) two problems for psychiatric diseases: experimenter’s regress and arbitrariness. (shrink)

This article sketches the main features of traditional philosophical models of evidence, indicating idealizations in such models that it regards as doing more harm than good. It then proceeds to elaborate on an alternative model of evidence that is functionalist, complex, dynamic, and contextual, a view the author calls dynamic evidential functionalism (DEF). This alternative builds on insights from philosophy of scientific practice, Kuhnian philosophy of science, pragmatist epistemology, philosophy of experimentation, and functionalist philosophy of mind. Along the way, the (...) article raises concerns about the total evidence condition, requirements of certainty or incorrigibility on evidence, and accounts that restrict the type of things that can serve as evidence (to, for example, sense data, facts about particulars). DEF can also help us see the special value of novel predictions and experiments as evidence, as well as help us think about how to critically evaluate the putative evidence to determine whether it is evidence. (shrink)

This inaugural handbook documents the distinctive research field that utilizes history and philosophy in investigation of theoretical, curricular and pedagogical issues in the teaching of science and mathematics. It is contributed to by 130 researchers from 30 countries; it provides a logically structured, fully referenced guide to the ways in which science and mathematics education is, informed by the history and philosophy of these disciplines, as well as by the philosophy of education more generally. The first handbook to cover the (...) field, it lays down a much-needed marker of progress to date and provides a platform for informed and coherent future analysis and research of the subject. -/- The publication comes at a time of heightened worldwide concern over the standard of science and mathematics education, attended by fierce debate over how best to reform curricula and enliven student engagement in the subjects There is a growing recognition among educators and policy makers that the learning of science must dovetail with learning about science; this handbook is uniquely positioned as a locus for the discussion. -/- The handbook features sections on pedagogical, theoretical, national, and biographical research, setting the literature of each tradition in its historical context. Each chapter engages in an assessment of the strengths and weakness of the research addressed, and suggests potentially fruitful avenues of future research. A key element of the handbook’s broader analytical framework is its identification and examination of unnoticed philosophical assumptions in science and mathematics research. It reminds readers at a crucial juncture that there has been a long and rich tradition of historical and philosophical engagements with science and mathematics teaching, and that lessons can be learnt from these engagements for the resolution of current theoretical, curricular and pedagogical questions that face teachers and administrators. (shrink)

This essay explores the benefits of utilizing non-scientific examples and analogies in teaching philosophy of science courses. These examples can help resolve two basic difficulties faced by most instructors, especially when teaching lower-level courses: first, they can prompt students to take an active interest in the class material, since the examples will involve aspects of the culture well-known, or at least more interesting, to the students; and second, these familiar, less-threatening examples will lessen the students' collective anxieties and open them (...) up to learning the material more easily. To demonstrate this strategy of constructing and employing non-scientific examples, a lengthy analogy between musical styles and Kuhn's theory of scientific revolutions is developed. (shrink)

It is commonly argued that values “fill the logical gap” of underdetermination of theory by evidence, namely, values affect our choice between two or more theories that fit the same evidence. The underdetermination model, however, does not exhaust the roles values play in evidential reasoning. I introduce WAVE – a novel account of the logical relations between values and evidence. WAVE states that values influence evidential reasoning by adjusting evidential weights. I argue that the weight-adjusting role of values is distinct (...) from their underdetermination gap-filling role. Values adjust weights in three ways. First, values affect our trust in the testimony of others. Second, values influence the evidential thresholds required for justified epistemic judgments. Third, values influence the relative weight of a certain type of evidence within a body of multimodal discordant evidence. WAVE explains, from an epistemic perspective, rather than psychological, how smokers, for example, can find the same evidence about the dangers of smoking less persuasive than non-smokers. WAVE allows for a wider effect of values on our accepted scientific theories and beliefs than the effect for which the underdetermination model allows alone; therefore, science studies scholars must consider WAVE in their research and analysis of evidential case studies. (shrink)

The ArgumentThere can be no doubt about the moral and epistemological significance of what Shapin calls the “physical place” of the scientific laboratory. The physical place is defined by the locales, barriers, ports of entry, and lines of sight that bound the laboratory and separate it from other urban and architectural environments. Shapin's discussion of the emergence of the scientific laboratory in seventeenth-century England provides a convincing demonstration that credible knowledge is situated at an intersection between physical locales and social (...) distinctions. In this paper I take up Shapin's theme of the “siting of knowledge production,” but I give it a different treatment – one based on ethnomethodological studies of work. Without denying all that can be witnessed in the spectacle of the scientist at the bench and of the architectural habitat of the bench, I argue that the “place” of scientific work is defined by locally organizedtopical contextures. The paper describes two examples of such spatial orders – “opticism” and “digitality” – associated with distinct complexes of equipment and practice. These topical spaces might initially be viewed as “ideal” or “symbolic” spaces, but I argue that they are no less material than the “physical setting” of the laboratory; indeed, they are the physical setting. (shrink)

The ArgumentThis paper explores the confrontation of physical and contextual factors involved in the emergence of the subject of color measurement, which stabilized in essentially its present form during the interwar period. The contentions surrounding the specialty had both a national and a disciplinary dimension. German dominance was curtailed by American and British contributions after World War I. Particularly in America, communities of physicists and psychologists had different commitments to divergent views of nature and human perception. They therefore had to (...) negotiate a compromise between their desire for a quantitative system of description and the perceived complexity and human-centeredness of color judgment. These debates were played out not in the laboratory but rather in institutionalized encounters on standards committees. Such groups constitute a relatively unexplored historiographic and social site of investigation. The heterogeneity of such committees, and their products, highlight the problems of identifying and following such ephemeral historical “actors”. (shrink)

This article argues that all knowledge is inherently local and that localness provides the basis for comparison between indigenous scientific traditions or knowledge production systems. As collective bodies of knowledge, many of the significant differences between knowledge production systems lie in the work involved in creating assemblages from differing practices. Much of the work can be seen in the social strategies and technical devices employed in creating equivalences and connections whereby otherwise heterogeneous and isolated knowledges are enabled to move in (...) space and time from the local site and moment of their production and application to other places and times. In this way contemporary technosciences are compared with the knowledge systems of the medieval mastermasons, the Anasazi, the Inca, the Australian Aborigines and the Pacific navigators. (shrink)

Este artigo tem como objetivo discutir algumas das teses centrais do físico teórico e epistemólogo John Michael Ziman relativas à dimensão social da ciência. Ziman sustenta que, para um melhor entendimento das mudanças ocorridas na prática científica contemporânea, sobretudo das consequências geradas nas últimas décadas pelo que ele denominou de "ciência pós-acadêmica", é necessária uma abordagem que inclua aspectos não somente filosóficos, mas também sociológicos e históricos. Segundo Ziman, a supervalorização, na ciência pós-acadêmica, de valores ligados a uma cultura gerencial (...) tem como consequências, a curto prazo, a alteração do éthos mertoniano e dos princípios filosóficos utilizados historicamente pelos cientistas como ideais reguladores; e, a longo prazo, a redução da capacidade cognitiva da ciência de produzir "novos mapas" da realidade. Ao analisar alguns conceitos-chave da obra de Ziman, tais como "consensibilidade", "consensualidade", "conhecimento público" e "ciência pós-acadêmica", esperamos debater a concepção de ciência desse autor, ainda pouco citado no Brasil. The main objective of this article is to discuss some of the central theses on the work of the physicist and epistemologist John Michael Ziman concerned with the social dimension of science. Ziman supports the thesis that in order to have a better understanding of the recent changes in scientific practice, especially the consequences brought by a new mode of knowledge production, in the last decades, which he names "post-academic", it is necessary a new methodological approach is necessary that includes, not only philosophical aspects, but also sociological and psychological ones. According to Ziman, one of the consequences of the overvaluation of a managerial culture in post academic science is, in the short term, the deflation of the Mertonian ethos and also of the philosophical principles which were historically shared amongst scientists as regulatory ideals; and in the long run, the major consequence of post-academic science would be the reduction of cognitive capacity of science to produce "new maps" of the world. By the analysis of some key-concepts in Ziman's work, such as "consensibility", "consensuality", "public knowledge" and "post-academic science", we aim to make the Brazilian reader acquainted with his conception of science. (shrink)

Assessments of animal experience and consciousness are embedded in all issues of animal welfare policy, and the field of animal welfare science has been developed to make these evaluations. In light of modern studies of the social construction of scientific knowledge, it is surprising how little attention has been paid to date on how crucial evaluations about animals are made. In this paper, I begin to fill that gap by presenting a historical case study of the attempt to define the (...) pain and distress of one common practice in animal research-the use of the tabletop guillotine to decapitate laboratory rodents. I describe the negotiations involved in reaching consensus on the meaning of the available data and caution animal care and use committees that they should always work with the realization that our scientific knowledge of what animals experience is partial and provisional knowledge at best. (shrink)

The search for “usable” expert systems is leading somemedical researchers to question the appropriate role of these programs. Most current systems assume a limited role for the human user, delegating situated “decision-control” to the machine. As expert systems are only able to replace a narrow range of human intellectual functions, this leaves the programs unable to cope with the “constructivist” nature of human knowledge-use. In returning practical control to the human doctor, some researchers are abandoning focusedproblem-solving in favour of supportiveproblem-analysis. (...) Using ONCOCIN and QMR as examples, this article contrasts these approaches and suggests that the latter avoids many of the difficulties currently facing medical expert systems. (shrink)

In his theory of rational discourse, Habermas has made essential use of the concept of 'force of the better argument'. He does not explicitly discuss the theories of meaning and of inference that must underpin this concept, but usually construes it in terms of univocal meaning and propositional inference. These assumptions are challenged by means of examples from the use of metaphor and analogical argument in science, and it is suggested that a generalisation of such arguments applies to philosophical discourse (...) also. Habermas's conception of modes of argument as monotonically directed towards truth should therefore be replaced by dialogue and dialectics, but it does not follow from this that argument is without rational rules. (shrink)

In this paper, the different theories about science and technology relationships are analyzed. All of them have some virtues, but also one main defect: these theories do not take into account other well-founded possible relationships. The origin of this problem is the narrow view about science and technology. In this paper another characterization about technology based on Ronald Giere’s perspective is suggested. In the light of this new description, six different relationships between science and technology arise. Some of these relations (...) had been explained in the before analyzed theories, but others emerge from the new portrayal. (shrink)

I describe two traditions of philosophical accounts of evidence: one characterizes the notion in terms of signs of success, the other characterizes the notion in terms of conditions of success. The best examples of the former rely on the probability calculus, and have the virtues of generality and theoretical simplicity. The best examples of the latter describe the features of evidence which scientists appeal to in practice, which include general features of methods, such as quality and relevance, and general features (...) of evidence, such as patterns in data, concordance with other evidence, and believability of the evidence. Two infamous episodes from biomedical research help to illustrate these features. Philosophical characterization of these latter features—conditions of success—has the virtue of potential relevance to, and descriptive accuracy of, practices of experimental scientists. (shrink)

Abstract: The aim of this paper is to analyse and criticize the argument of the experimenters' regress proposed by Harry Collins in 1985. In order to do that, I begin with an introduction to the experiments that aimed to detect gravity waves performed by Joseph Weber during 1970, then I analyse and discuss both forms of the argument: the epistemological and the ontological. Finally, after giving an outline of a theory of experimental reproduction and an explication of the concept of (...) replication, I propose two ways of avoiding the experimenters' regress. (shrink)

Evolutionary anthropologists and archaeologists have been considerably successful in modelling the cumulative evolution of culture, of technological skills and knowledge in particular. Recently, one of these models has been introduced in the philosophy of science by De Cruz and De Smedt (Philos Stud 157:411–429, 2012), in an attempt to demonstrate that scientists may collectively come to hold more truth-approximating beliefs, despite the cognitive biases which they individually are known to be subject to. Here we identify a major shortcoming in that (...) attempt: De Cruz & De Smedt’s mathematical model makes one particularly strong tractability assumption that causes the model to largely miss its target (namely, truth accumulation in science), and that moreover conflicts with empirical observations. The second, more constructive part of the paper presents an alternative, agent-based model, which allows one to much better examine the conditions for scientific progress and decline. (shrink)

Robustness is a common platitude: hypotheses are better supported with evidence generated by multiple techniques that rely on different background assumptions. Robustness has been put to numerous epistemic tasks, including the demarcation of artifacts from real entities, countering the “experimenter’s regress,” and resolving evidential discordance. Despite the frequency of appeals to robustness, the notion itself has received scant critique. Arguments based on robustness can give incorrect conclusions. More worrying is that although robustness may be valuable in ideal evidential circumstances (i.e., (...) when evidence is concordant), often when a variety of evidence is available from multiple techniques, the evidence is discordant. †To contact the author, please write to: Jacob Stegenga, Department of Philosophy, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093; e‐mail: [email protected]. (shrink)

The last two decades have seen a rising interest in (a) the notion of a scientific phenomenon as distinct from theories and data, and (b) the intricacies of experimentally producing and stabilizing phenomena. This paper develops an analysis of the stabilization of phenomena that integrates two aspects that have largely been treated separately in the literature: one concerns the skills required for empirical work; the other concerns the strategies by which claims about phenomena are validated. I argue that in order (...) to make sense of the process of stabilization, we need to distinguish between two types of phenomena: phenomena as patterns in the data ( surface regularities ) and phenomena as underlying (or hidden ) regularities. I show that the epistemic relationships that data bear to each of these types of phenomena are different: Data patterns are instantiated by individual data, whereas underlying regularities are indicated by individual data, insofar as they instantiate a data pattern. Drawing on an example from memory research, I argue that neither of these two kinds of phenomenon can be stabilized in isolation. I conclude that what is stabilized when phenomena are stabilized is the fit between surface regularities and hidden regularities. (shrink)

Scientists obtain a great deal of the evidence they use by observingnatural and experimentally generated objects and effects. Much of thestandard philosophical literature on this subject comes from20th century logical positivists and empiricists, theirfollowers, and critics who embraced their issues and accepted some oftheir assumptions even as they objected to specific views. Theirdiscussions of observational evidence tend to focus on epistemologicalquestions about its role in theory testing. This entry follows theirlead even though observational evidence also plays important andphilosophically interesting roles (...) in other areas including scientificdiscovery and the application of scientific theories to practicalproblems. (shrink)

Some think that issues to do with scientific method are last century's stale debate; Popper was an advocate of methodology, but Kuhn, Feyerabend, and others are alleged to have brought the debate about its status to an end. The papers in this volume show that issues in methodology are still very much alive. Some of the papers reinvestigate issues in the debate over methodology, while others set out new ways in which the debate has developed in the last decade. The (...) book will be of interest to philosophers and scientists alike in the reassessment it provides of earlier debates about method and current directions of research. (shrink)

A normative constraint on theories about objects which we take to be real is explored: such theories are required to track the properties of the objects which they are theories of. Epistemic views in which observation (and generalizations of it) play a central role, and holist views which see epistemic virtues as applicable only to whole theories, are contrasted in the light of this constraint. It's argued that global-style epistemic virtues can't meet the constraint, although (certain) epistemic views within which (...) observation (and, more generally, thick epistemic access) are centralized do meet it. (shrink)

The paper addresses the question of whether, as Nanda claims, treating all knowledge traditions including science as local, denies the possibility of criticism. It accepts the necessity for criticism but denies that science can be the sole arbiter of truth and argues that we have to live with holding differing knowledges in tension with one another.

I propose an approach to naturalized philosophy of science that takes the social nature of scientific practice seriously. I criticize several prominent naturalistic approaches for adopting "cognitive individualism", which limits the study of science to an examination of the internal psychological mechanisms of scientists. I argue that this limits the explanatory capacity of these approaches. I then propose a three-level model of the social nature of scientific practice, and use the model to defend the claim that scientific knowledge is socially (...) produced. (shrink)

Between formal propositional knowledge and embodied skill lies ‘interactional expertise’—the ability to converse expertly about a practical skill or expertise, but without being able to practice it, learned through linguistic socialisation among the practitioners. Interactional expertise is exhibited by sociologists of scientific knowledge, by scientists themselves and by a large range of other actors. Attention is drawn to the distinction between the social and the individual embodiment theses: a language does depend on the form of the bodies of its members (...) but an individual within that community can learn the language without the body. The idea has significance for our understanding of colour-blindness, deafness and other abilities and disabilities. They say that love's a word. (shrink)

: In the last two decades, scientists, government officials, and science policy experts have expressed concerns about the increasing role of financial interests in research. Many believe that these interests are undermining research by causing bias and error, suppression of results, and even outright fraud. This paper seeks to shed some light on this view by (1) explicating the concept research bias, (2) describing some ways that financial interests can cause research biases, and (3) discussing some strategies for mitigating or (...) managing the influence of financial interests. These strategies include (a) using government funds to counter-balance privately funded research, (b) increasing public input into government funding decisions, (c) disclosing and managing conflicts of interest in research, (d) auditing data, (e) expanding access to data. Since it is neither possible nor desirable to eliminate financial interests from research, the wisest policy is to manage and counter-balance these interests for the good of science and society. (shrink)

Two goals - improving replicability and accountability of Machine Learning research respectively, have accrued much attention from the AI ethics and the Machine Learning community. Despite sharing the measures of improving transparency, the two goals are discussed in different registers - replicability registers with scientific reasoning whereas accountability registers with ethical reasoning. Given the existing challenge of the Responsibility Gap - holding Machine Learning scientists accountable for Machine Learning harms due to them being far from sites of application, this paper (...) posits that reconceptualizing replicability can help bridge the gap. Through a shift from model performance replicability to claim replicability, Machine Learning scientists can be held accountable for producing non-replicable claims that are prone to eliciting harm due to misuse and misinterpretation. In this paper, I make the following contributions. First, I define and distinguish two forms of replicability for ML research that can aid constructive conversations around replicability. Second, I formulate an argument for claim-replicability's advantage over model performance replicability in justifying assigning accountability to Machine Learning scientists for producing non-replicable claims and show how it enacts a sense of responsibility that is actionable. In addition, I characterize the implementation of claim replicability as more of a social project than a technical one by discussing its competing epistemological principles, practical implications on Circulating Reference, Interpretative Labor, and research communication. (shrink)

This dissertation draws upon historical studies of scientific practice and contemporary issues in the metaphysics and epistemology of science to account for the nature of physical quantities. My dissertation applies this integrated HPS approach to dimensional analysis—a logic for quantitative physical equations which respects the distinct dimensions of quantities (e.g. mass, length, charge). Dimensional analysis and its historical development serve both as subjects of study and as a sources for solutions to contemporary problems. The dissertation consists primarily of three related (...) papers on: (1) the methodological and metaphysical foundations of dimensional analysis, (2) the use of dimensional analysis in determining physical symmetries, (3) the use of dimensional analysis in securing metrological extension. (shrink)

This chapter explores the relevance of empirical evidence to real causes. I argue for the claim that instrumentally mediated empirical results are causally dependent on unobservable entities. I develop this idea in the context of discussions on entity realism. As a consequence of my argument, an antirealist version of empiricism, which underlines the significance of empirical evidence but which abstains from real causation, is incoherent.

Si bien en la filosofía de las ciencias ya se han explorado algunos ejemplos provenientes de la bioquímica como casos de estudio, la filosofía de la bioquímica es una subdisciplina naciente. En este artículo estudiaremos dos problemas filosóficos de relevancia contemporánea en esta ciencia. Por un lado, examinaremos las bases epistemológicas del problema del plegamiento de proteínas. En particular lo relacionado con la predicción de la estructura tridimensional de las proteínas a partir de su secuencia, asunto que ha dado mucho (...) que hablar debido a los nuevos avances utilizando deep learning. Por otro lado, exploraremos el problema in-vitro/in-vivo y, más generalmente, el problema de la extrapolación en las ciencias biológicas. Finalmente, a partir de las consecuencias de ambos temas consideraremos algunas reflexiones filosóficas generales acerca del reduccionismo, el pluralismo y el lugar de la bioquímica en las ciencias biológicas. Palabras clave: Bioquímica, Plegamiento de proteínas, In-vitro/in-vivo, Pluralismo, Reduccionismo. (shrink)

While the term “reactivity” has come to be associated with specific phenomena in the social sciences, having to do with subjects’ awareness of being studied, this paper takes a broader stance on this concept. I argue that reactivity is a ubiquitous feature of the psychological subject matter and that this fact is a precondition of experimental research, while also posing potential problems for the experimenter. The latter are connected to the worry about distorted data and experimental artifacts. But what are (...) experimental artifacts and what is the most productive way of dealing with them? In this paper, I approach these questions by exploring the ways in which experimenters in psychology simultaneously exploit and suppress the reactivity of their subject matter in order to produce experimental data that speak to the question or subject matter at hand. Highlighting the artificiality of experimental data, I raise the question of what distinguishes a genuine experimental result from an experimental artifact. My analysis construes experimental results as the outcomes of inferences from the data that take material background assumptions as auxiliary premises. Artifacts occur when one or more of these background assumptions are false, such that the data do not reliably serve the purposes they were generated for. I conclude by laying out the ways in which my analysis of data quality is relevant to, and informed by, recent debates about the replicability of experimental results. (shrink)

The discipline of knowledge translation (KT) emerged as a way of systematically understanding and addressing the challenges of applying health and medical research in practice. In light of ongoing and emerging critique of KT from the medical humanities and social sciences disciplines, KT researchers have become increasingly aware of the complexity of the translational process, particularly the significance of culture, tradition and values in how scientific evidence is understood and received, and thus increasingly receptive to pluralistic notions of knowledge. Hence, (...) there is now an emerging view of KT as a highly complex, dynamic, and integrated sociological phenomenon, which neither assumes nor creates knowledge hierarchies and neither prescribes nor privileges scientific evidence. Such a view, however, does not guarantee that scientific evidence will be applied in practice and thus poses a significant dilemma for KT regarding its status as a scientific and practice-oriented discipline, particularly within the current sociopolitical climate. Therefore, in response to the ongoing and emerging critique of KT, we argue that KT must provide scope for relevant scientific evidence to occupy an appropriate position of epistemic primacy in public discourse. Such a view is not intended to uphold the privileged status of science nor affirm the “scientific logos” per se. It is proffered as a counterbalance to powerful social, cultural, political and market forces that are able to challenge scientific evidence and promote disinformation to the detriment of democratic outcomes and the public good. (shrink)

This article looks at how fisheries biologists of the early twentieth century conceptualized and measured overfishing and attempted to make it a scientific object. Considering both theorizing and physical practices, the essay shows that categories and understandings of both the fishing industry and fisheries science were deeply and, at times, inextricably interwoven. Fish were both scientific and economic objects. The various models fisheries science used to understand the world reflected amalgamations of biological, physical, economic, and political factors. As a result, (...) scientists had great difficulty stabilizing the concept of overfishing and many influential scholars into the 1930s even doubted the coherence of the concept. In light of recent literature in history of fisheries and environmental social sciences that critiques the infiltration of political and economic imperatives into fisheries and environmental sciences more generally, this essay highlights both how early fisheries scientists understood their field of study as the entire combination of interactions between political, economic, biological and physical factors and the work that was necessary to separate them. (shrink)

How are data science systems made to work? It may seem that whether a system works is a function of its technical design, but it is also accomplished through ongoing forms of discretionary work by many actors. Based on six months of ethnographic fieldwork with a corporate data science team, we describe how actors involved in a corporate project negotiated what work the system should do, how it should work, and how to assess whether it works. These negotiations laid the (...) foundation for how, why, and to what extent the system ultimately worked. We describe three main findings. First, how already-existing technologies are essential reference points to determine how and whether systems work. Second, how the situated resolution of development challenges continually reshapes the understanding of how and whether systems work. Third, how business goals, and especially their negotiated balance with data science imperatives, affect a system’s working. We conclude with takeaways for critical data studies, orienting researchers to focus on the organizational and cultural aspects of data science, the third-party platforms underlying data science systems, and ways to engage with practitioners’ imagination of how systems can and should work. (shrink)

This article explores the practice of simulation modeling by investigating how parameterizations are constructed and integrated into existing frameworks. Parameterizations are simplified process descriptions adapted for simulation models. On the basis of a study of meteorological research, the article presents predictive and representative construction as two different ways of developing parameterizations and the trade-offs involved in this work. Because the overall aim in predictive construction is to improve weather forecasts, the most practical solutions are chosen over the best theoretical solutions. (...) In representative construction, the situation is reversed, but while discourse focuses on theory and models, the everyday work is often tied to computer programs. These different ways of construction work are closely related to the role of the simulation models as epistemic or technical objects, and this characterization is also used to compare the results with previous research. (shrink)

The paper draws its inspiration from the provocation which Merton offered sociology both to engage with empirical data and to perform analyses adequate to guide intervention beyond the particular case. Whilst contemporary STS is very different both in its models of theory and its forms of methodology, this paper suggests Merton's concerns with engagement and adequacy provide a useful way to interrogate current approaches. Specifically, the paper explores some recent anthropological conceptions of ethnographic fieldwork that have provided potent models for (...) the study of scientific and technological cultures. These multi-sited approaches have also provided the opportunity to develop new notions of intervention and explore alternative ways of making contributions to development of theory and practice. In the process of pursuing the goals of engagement and adequacy notions of ethnography have however become stretched. This sense of detachment from methodological canons accentuates the need for methodological debate and skill-sharing in STS. (shrink)

In late 2009, e-mails from a server at the Climate Research Unit at the University of East Anglia were released that showed some climate scientists in an unfavorable light. Soon this scandal was known as “Climategate” and a highly charged debate started to rage on blogs and in the mass media. Much of the debate has been about the question whether anthropogenic global warming was undermined by the revelations. But ethical issues, too, became part and parcel of the debate. This (...) article aims to contribute to this debate, assessing the e-mail affair in the light of two normative analyses of science, one proposed by Robert Merton, the second by a recent suggestion to use the concept of honest brokering in science policy interactions. On the basis of these analyses, different aspects of malpractice will be discussed and possible solutions will be suggested. (shrink)

Three philosophical perspectives on the relation between technology and society are distinguished and discussed: 1) technology as an autonomous force that determines society; 2) technology as a human construct that can be shaped by human values, and 3) a co-evolutionary perspective on technology and society where neither of them determines the other. The historical evolution of the three perspectives is discussed and it is argued that all three are still present in current debates about technological change and how it may (...) affect society. This is illustrated for the case of Artificial Intelligence (AI). It is argued that each of the three perspectives contributes to the debate of AI but that the third has the strongest potential to uncover blind spots in the current debate. (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 (historical) accounts of scientific practice. (shrink)