Geographic Information Science (GIS) is an interdisciplinary science aiming to detect and visually represent patterns in spatial data. GIS is used by businesses to determine where to open new stores and by conservation biologists to identify field study locations with relatively little anthropogenic influence. Products of GIS include topographic and thematic maps of the Earth’s surface, climate maps, and spatially referenced demographic graphs and charts. In addition to its social, political, and economic importance, GIS is of intrinsic philosophical interest due (...) to its methodological richness and because it is an instructive analogue to other sciences. This chapter works towards a philosophy of GIS and cartography, or PGISC. In particular, it examines practices of classifying geographic space, objects, and relations. By focusing on the use of natural kinds in data modeling and map generalization practices, I show how the making and using of kinds is contextual, fallible, plural, and purposive. (shrink)

This paper defends the naïve thesis that the method of experiment has per se an epistemic superiority over the method of computer simulation, a view that has been rejected by some philosophers writing about simulation, and whose grounds have been hard to pin down by its defenders. I further argue that this superiority does not come from the experiment’s object being materially similar to the target in the world that the investigator is trying to learn about, as both sides of (...) dispute over the epistemic superiority thesis have assumed. The superiority depends on features of the question and on a property of natural kinds that has been mistaken for material similarity. Seeing this requires holding other things equal in the comparison of the two methods, thereby exposing that, under the conditions that will be specified, the simulation is necessarily epistemically one step behind the corresponding experiment. Practical constraints like feasibility and morality mean that scientists do not often face an other-things- equal comparison when they choose between experiment and simulation. Nevertheless, I argue, awareness of this superiority and of the general distinction between experiment and simulation is important for maintaining motivation to seek answers to new questions. (shrink)

The exploration of chemical periodicity over the past 250 years led to the development of the Periodic System of Elements and demonstrates the value of vague ideas that ignored early scientific anomalies and instead allowed for extended periods of normal science where new methodologies and concepts are developed. The basic chemical element provides this exploration with direction and explanation and has shown to be a central and historically adaptable concept for a theory of matter far from the reductionist frontier. This (...) is explored in the histories of Prout’s hypothesis, Döbereiner Triads, element inversions necessary when ordering chemical elements by atomic weights, and van den Broeck’s ad-hoc proposal to switch to nuclear charges instead. The development of more accurate methods to determine atomic weights, Rayleigh and Ramsey’s gas separation and analytical techniques, Moseley’s X-ray spectroscopy to identify chemical elements, and more recent accelerator-based cold fusion methods to create new elements at the end of the Periodic Table point to the importance of methodological development complementing conceptual advances. I propose to frame the crossover from physics to chemistry not as a loss of accuracy and precision but as an increased application of vague concepts such as similarity which permit classification. This approach provides epistemic flexibility to adapt to scientific anomalies and the continued growth of chemical compound space and rejects the Procrustean philosophy of reductionist physics. Furthermore, it establishes chemistry with its explanatory and operational autonomy epitomized by the periodic system of elements as a gateway to other experimental sciences. (shrink)

Dans un nombre croissant de domaines scientifiques - sciences de la nature, sciences humaines aussi bien que sciences des artefacts -, la simulation ne joue plus le rôle de succédané temporaire d'une théorie encore en gésine parce que non encore élaborée ; c'est-à-dire qu'elle ne joue plus systématiquement le rôle d'un modèle provisoire ou d'un schéma servant à condenser les mesures. C'est qu'elle n'a pas la nature d'un signe graphique, linguistique ou mathématique. Elle joue au contraire de plus en plus (...) le rôle d'une réplication détaillée du réel : elle est une intuition reconstruite avec justesse mais sans abstraction rationnelle et généralisante, donc sans transfiguration iconique. Une des limites de l'épistémologie dialectique de Bachelard tient à ce qu'elle ne donne pas les concepts pour penser assez distinctement ces pratiques contemporaines de simulation. C'est pourquoi l'A. propose de concevoir l'idée que la science contemporaine se développe non plus selon la seule dialectique matérialisme / rationalisme, mais selon la triade rationalisme/computationalisme/matérialisme. (shrink)

On entend généralement par « théorie des modèles » autant la métamathématique (ou sémantique formelle) que la sémantique des modèles des sciences non formelles. Cet article a pour objet la théorie des modèles scientifiques que Mario Bunge a développée dans Method, Models and Matter (1973). J’y analyse l’intégration théorique qu’opère Bunge des sciences formelles et des sciences expérimentales ou observationnelles, laquelle prend appui sur sa philosophie des sciences. Je la compare sommairement à la théorie des modèles de Gilles-Gaston Granger dans (...) le but évident d’en dégager les ressemblances et les dissimilitudes, mais aussi leur commun point d’achoppement : l’une comme l’autre usent en effet d’un concept non analysé dont la fonction épistémologique est pourtant capitale et produit les mêmes effets. Au centre de la théorie des modèles de Bunge se trouve le concept de simulation que je comparerai à celui qui est en usage dans les sciences de l’ordinateur et qui est de nos jours largement appliqué à diverses sciences, tant sociales que naturelles. Je conclurai sur les conséquences méthodologiques et métaphysiques de la théorie bungéenne des modèles. (shrink)

Selectionist evolutionary theory has often been faulted for not making novel predictions that are surprising, risky, and correct. I argue that it in fact exhibits the theoretical virtue of predictive capacity in addition to two other virtues: explanatory unification and model fitting. Two case studies show the predictive capacity of selectionist evolutionary theory: parallel evolutionary change in E. coli, and the origin of eukaryotic cells through endosymbiosis.

Evo-Devo exhibits a plurality of scientific “cultures” of practice and theory. When are the cultures acting—individually or collectively—in ways that actually move research forward, empirically, theoretically, and ethically? When do they become imperialistic, in the sense of excluding and subordinating other cultures? This chapter identifies six cultures – three /styles/ (mathematical modeling, mechanism, and history) and three /paradigms/ (adaptationism, structuralism, and cladism). The key assumptions standing behind, under, or within each of these cultures are explored. Characterizing the internal structure of (...) the cultures is necessary for understanding how they collaborate or compete, and how they are fragmented or integrated, in the rich interdisciplinary /trading zone/ (Galison 1997) of Evo-Devo. Evo-Devo is an important example of how science can progress through a radical plurality of perspectives and cultures. (shrink)

We outline a framework for analyzing episodes from the history of science in which the application of mathematics plays a constitutive role in the conceptual development of empirical sciences. Our starting point is the inferential conception of the application of mathematics, recently advanced by Bueno and Colyvan. We identify and discuss some systematic problems of this approach. We propose refinements of the inferential conception based on theoretical considerations and on the basis of a historical case study. We demonstrate the usefulness (...) of the refined, dynamical inferential conception using the well-researched example of the genesis of general relativity. Specifically, we look at the collaboration of the physicist Einstein and the mathematician Grossmann in the years 1912--1913, which resulted in the jointly published ``Outline of a Generalized Theory of Relativity and a Theory of Gravitation,'' a precursor theory of the final theory of general relativity. In this episode, an independently developed mathematical theory, the theory of differential invariants and the absolute differential calculus, was applied in the process of physical theorizing aiming at finding a relativistic theory of gravitation. We argue that the dynamical inferential conception not only provides a natural framework to describe and analyze this episode, but it also generates new questions and insights. We comment on the mathematical tradition on which Grossmann drew, and on his own contributions to mathematical theorizing. We argue that the dynamical inferential conception allows us to identify both the role of heuristics and of mathematical resources as well as the systematic role of problems and mistakes in the reconstruction of episodes of conceptual innovation and theory change. (shrink)

I begin with a diagnosis. Present-day scholarly work on the Scottish Enlightenment is bifurcated: it is either focused on the areas of moral philosophy or of natural philosophy, broadly construed in both cases. The aspiration to combine these inquiries is rare and unsystematic. This paper makes a case for the need and possibility of a perspective that conceives moral and natural inquiry as integrated enterprises in the period. It also suggests that potentially useful interpretive devices can be adopted from the (...) historiography of science and philosophy, as well as science studies. (shrink)

What is the significance of high-speed computation for the sciences? How far does it result in a practice of simulation which affects the sciences on a very basic level? To offer more historical context to these recurring questions, this paper revisits the roots of computer simulation in the development of the ENIAC computer and the Monte Carlo method.With the aim of identifying more clearly what really changed (or not) in the history of science in the 1940s and 1950s due to (...) the computer, I will emphasize the continuities with older practices and develop a two-fold argument. Firstly, one can find a diversity of practices around ENIAC which tends to be ignored if one focuses only on the ENIAC itself as the originator of Monte Carlo simulation. Following from this, I claim, secondly, that there was no simulation around ENIAC. Not only is the term ‘simulation’ not used within that context, but the analysis also shows how ‘simulation’ is an effect of three interrelated sets of different practices around the machine: (1) the mathematics which the ENIAC users employed and developed, (2) the programs, (3) the physicality of the machine. I conclude that, in the context discussed, the most important shifts in practice are about rethinking existing computational methods. This was done in view of adapting them to the high-speed and programmability of the new machine. Simulation then is but one facet of this process of adaptation, singled out by posterity to be viewed as its principal aspect. (shrink)

In this paper I review the problematic relationship between science and philosophy; in particular, I will address the question of whether science needs philosophy, and I will offer some positive perspectives that should be helpful in developing a synergetic relationship between the two. I will review three lines of reasoning often employed in arguing that philosophy is useless for science: philosophy’s death diagnosis ; the historic-agnostic argument/challenge “show me examples where philosophy has been useful for science, for I don’t know (...) of any”; the division of property argument. These arguments will be countered with three contentions to the effect that the natural sciences need philosophy. I will: point to the fallacy of anti-philosophicalism and examine the role of paradigms and presuppositions ; point out why the historical argument fails ; briefly sketch some domains of intersection of science and philosophy and how the two can have mutual synergy. I will conclude with some implications of this synergetic relationship between science and philosophy for the liberal arts and sciences. (shrink)

Developments in biomedical science continue to transform our understanding of concepts such as health and disease. The creation of this expertise has also had a substantive role in changing the veterinary approach to animal diseases. Traditionally, companion animal veterinarians modelled their practices on developments in the diagnosis and treatment of human patients. As science and technology have realigned the boundaries between normalcy, intra-species variation and pathology in particular domains of expertise such as orthopaedic surgery, these patterns of knowledge translation have (...) changed. Not so long ago, treatments for the rupture of the cruciate ligament in human and canine patients were based on pathoanatomical comparison and designed to reestablish the stability of the joint by the functional restoration of ligament anatomy. Recently, a radically different characterization of the canine injury—with a corresponding alternative intervention—has been proposed within the field of veterinary orthopaedics. It views the normal anatomy of the canine knee as being in some way inherently pathogenic and proposes the surgical creation of an idealized structure as a remedy to dysfunction and disease. The veterinary focus on an ideal of patient performance, rather than a specific pathology, is now influencing how orthopaedists choose to approach analogous human injuries. In this article, I chart the history of canine ‘cruciate disease’ therapies as a means to map some of the epistemic assumptions, interplays of idealized and analogical reasoning and patterns of knowledge translation central to the biomedicalization of the science and practice of orthopaedic surgery. (shrink)

This article examines the revisionist role that current debates and philosophical positions on extended cognition might play for the historian of science, and uses as its case study August Kekulé’s formulation of the benzene molecule’s structure, including the dreams that Kekulé reported as the origin of his model. It builds on the notion of engaging philosophical positions through the historiography of nineteenth-century chemistry, but also examines some of the implications of the history of science for extended cognition. While an extended (...) cognition approach to Kekulé’s use of graphics and visual materials is promising, I argue that there is less usefulness for the idea of collective cognition. Instead I advocate using detailed historical studies to test theories of extended cognition. (shrink)

“We can avoid, above all, the mistake of thinking that unless one is big one is negligible.”This paper tries to think about the contexts of scientific practices in peripheral spaces, spaces that exist outside the domain of the resource-rich and well-established scientific communities. I ask the question whether contributions from such modest circumstances can give rise to any creative expertise that is capable of producing novel outcomes in science, and whether exploring such contexts might give us reasons for changing our (...) current mental model of what we take science to be. I assume, of course, that scientific thinking can be present in modest as well as in resource-rich circumstances, and little-known episodes... (shrink)

The term ?boson? appears in almost all discussions on elementary particles and carries a reference to the name of Satyendra Nath Bose, the co-founder of quantum statistics. Yet, in spite of this wide use of a term coined after his name, Bose himself remains a shadowy figure in the history of science. This article is an attempt to reconstruct how Bose arrived at the statistics for which he is now remembered, and his subsequent two-year brief role in international science. Through (...) the lens of Bose's practice, I seek to grasp the contexts of those peripheral scientists who enter the practice of science from outside of the main group, and yet somehow manage to create a lasting contribution within it. (shrink)

Any advanced theory of physics contains modules defined as essential components that are themselves theories with different domains of application. Different kinds of modules can be distinguished according to the way in which they fit in the symbolic and interpretive apparatus of a theory. The number and kind of the modules of a given theory vary as the theory evolves in time. The relative stability of modules and the variability of their insertion in other theories play a vital role in (...) the application, comparison, construction, and communication of theories. Modularity conveys some global unity to physics through the sharing of modules by diverse theories. This alternative to rigid hierarchies and holistic totalities permits a dynamical, plastic, and symbiotic approach to physical theory. (shrink)

The relativistic revolution led to varieties of neo-Kantianism in which constitutive principles define the object of scientific knowledge in a domain-dependent and historically mutable manner. These principles are a priori insofar as they are necessary premises for the formulation of empirical laws in a given domain, but they lack the self-evidence of Kant’s a priori and they cannot be identified without prior knowledge of the theory they purport to frame. In contrast, the rationalist endeavors of a few masters of theoretical (...) physics have led to comprehensibility conditions that are easily admitted in a given domain and yet suffice to generate the theory of this domain. The purpose of this essay is to compare these two kinds of relativized a priori, to discuss the nature of the comprehensibility conditions, and to demonstrate their effectiveness in a modular conception of physical theories. (shrink)

The article examines cultural anthropological approaches to cultural boundaries and cultural change. It suggests that these approaches to cultural change can be made fruitful for understanding how cultural elements spread across different scienti?c communities, and the possible effects such dynamics could have on the negotiation of boundaries in the ?eld. The article is based on an ethnographic study of nanoscale research and re?ects on where to look for moments of boundary transgression in this ?eld that is characterized by its multiple (...) dimensions of inclusion and distinction. (shrink)

Despite its potential implications for the objectivity of scientific knowledge, the claim that “scientific instruments are perspectival” has received little critical attention. I show that this claim is best understood as highlighting the dependence of instruments on different perspectives. When closely analyzed, instead of constituting a novel epistemic challenge, this dependence can be exploited to mount novel strategies for resolving two old epistemic problems: conceptual relativism and theory-ladeness. The novel content of this article consists in articulating and developing these strategies (...) by introducing two fine-grained notions of perspectives as the key units of analysis: “broad perspectives” and “narrow perspectives.”. (shrink)

Social science research on the anthropomorphisms of computers and robots has been devoted to studying intellectual anthropomorphism, emotional anthropomorphism, bodily anthropomorphism, and the limits of computer and robot anthropomorphism. Although these represent important patterns for studying the anthropomorphisms of computers and robots, there are other important patterns. The limitation of anthropomorphism is one of these patterns. The limitation of anthropomorphism is a discursive practice which places limits on anthropomorphism. Discursive practices are interactional and practical activities for making sense of who (...) and what we encounter. In this article, I analyze the limitation of anthropomorphism as another important activity to investigate. Drawing on an ethnographic study of a robotics research group, I show the importance of the limitation of anthropomorphism by documenting how it contributes to research group identity. In the final section, I describe some implications for future studies of the anthropomorphisms of computers and robots. (shrink)

From 1950 to 1952, statisticians W.G. Cochran, C.F. Mosteller, and J.W. Tukey reviewed A.C. Kinsey and colleagues’ methodology. Neither the history-and-philosophy of science literature nor contemporary theories of interdisciplinarity seem to offer a conceptual model that fits this forced interaction, which was characterized by significant power asymmetries and disagreements on multiple levels. The statisticians initially attempted to exclude all non-technical matters from their evaluation, but their political and personal investments interfered with this agenda. In the face of McCarthy’s witch hunts, (...) negotiations with Kinsey and his funding institutions became integral to the review group’s work. This paper analyzes the heavy burden of emotional and affective labor in this collaboration, the conflicts caused by competing visions of objectivity, and the uses of statistical knowledge to gain and sustain authority. Kinsey’s refusal to adopt the recommended probability sample damaged his already precarious position even further and marked him as a biased researcher who put his personal agenda above methodological rigor. Kinsey’s uncooperative demeanor can be explained by distrust resulting from numerous adverse reactions to his work and by fear of having his sexuality exposed. This case study illustrates that the very concept of valid numbers can become an arena for power struggles and that quantification alone does not guarantee productive exchanges across disciplines. It calls for a deeper conceptual analysis of the prerequisites for successful scientific collaborations. (shrink)

The Laboratory for Research on the Structure of Matter, University of Pennsylvania, was built in 1965 as part of the Advanced Research Projects Agency's Interdisciplinary Laboratories program intended to foster interdisciplinary research and training in materials science. The process that led to the construction of the four-story structure served as the focus of intense debates over the meaning and process of interdisciplinary research in universities. The location of the building, its size, internal design, and functionalities were all subject to heated (...) negotiations among patrons, scientists, and university administrators, to find the proper place of interdisciplinary materials science on the University of Pennsylvania's campus. Building on the recent work on laboratory architecture, this paper argues that the negotiations and controversies over the LRSM building were concrete representations of the broader struggle over the appropriate place of interdisciplinary research and training within a university. (shrink)

Preparative and analytical methods developed by separation scientists have played an important role in the history of molecular biology. One such early method is gel electrophoresis, a technique that uses various types of gel as its supporting medium to separate charged molecules based on size and other properties. Historians of science, however, have only recently begun to pay closer attention to this material epistemological dimension of biomolecular science. This paper substantiates the historiographical thread that explores the relationship between modern laboratory (...) practice and the production of scientific knowledge. It traces the historical development of gel electrophoresis from the mid-1940s to the mid-1960s, with careful attention to the interplay between technical developments and disciplinary shifts, especially the rise of molecular biology in this time-frame. Claiming that the early 1950s marked a decisive shift in the evolution of electrophoretic methods from moving boundary to zone electrophoresis, I reconstruct various trajectories in which scientists such as Oliver Smithies sought out the most desirable solid supporting medium for electrophoretic instrumentation. Biomolecular knowledge, I argue, emerged in part from this process of seeking the most appropriate supporting medium that allowed for discrete molecular separation and visualization. The early 1950s, therefore, marked not only an important turning point in the history of separation science, but also a transformative moment in the history of the life sciences as the growth of molecular biology depended in part on the epistemological access to the molecular realm available through these evolving technologies. (shrink)

Novel computational representations, such as simulation models of complex systems and video games for scientific discovery, are dramatically changing the way discoveries emerge in science and engineering. The cognitive roles played by such computational representations in discovery are not well understood. We present a theoretical analysis of the cognitive roles such representations play, based on an ethnographic study of the building of computational models in a systems biology laboratory. Specifically, we focus on a case of model-building by an engineer that (...) led to a remarkable discovery in basic bioscience. Accounting for such discoveries requires a distributed cognition analysis, as DC focuses on the roles played by external representations in cognitive processes. However, DC analyses by and large have not examined scientific discovery, and they mostly focus on memory offloading, particularly how the use of existing external representations changes the nature of cognitive tasks. In contrast, we study discovery processes and argue that discoveries emerge from the processes of building the computational representation. The building process integrates manipulations in imagination and in the representation, creating a coupled cognitive system of model and modeler, where the model is incorporated into the modeler's imagination. This account extends DC significantly, and we present some of the theoretical and application implications of this extended account. (shrink)

A layered interpretation of the history of chemistry is discussed through chemical revolutions. A chemical revolution mainly by emplacement, instead of replacement, procedures were identified by: a radical reinterpretation of existing thought recognized by contemporaries themselves, which means the appearance of new concepts and the arrival of new theories; the use of new instruments changed the way in which its practitioners looked and worked in the world and through exemplars, new entities were discovered or incorporated; the opening of new subdisciplines, (...) which produced, separated scientific communities. The fourth chemical revolution, fundamentally characterized by the incorporation of new instruments in chemical practices is discussed. (shrink)

In evaluating science, philosophers tends to focus on general laws and on their truth. I urge a shift in focus to the reliability of the panoply of outputs science produces and in tandem, from the general to the particular. Here I give five arguments to support this, including many, many scientific outputs, which must be supposed reliable if we are to warrant our general principles, aren’t truth-apt; and reliability invites the crucial question, ‘Reliable for what?’ Getting clear the particular purpose (...) is essential for effective action and just evaluation. (shrink)

This article agrees with Philip Kitcher that we should aim for a well-ordered science, one that answers the right questions in the right ways. Crucial to this is to address questions of use: Which scientific account is right for which system in which circumstances? This is a difficult question: evidence that may support a scientific claim in one context may not support it in another. Drawing on examples in physics and other sciences, this article argues that work on the warrant (...) of theories in philosophy of science needs to change. Emphasis should move from the warrant of theories in the abstract to questions of evidence for use. (shrink)

Since the 1980s, several studies of visual perception have persuasively argued that important aspects of human vision are best accounted for not by recourse to inner mental representations but rather through socially observable actions and behaviors (e.g. Lynch 1985, Latour 1986, Lynch 1990, Goodwin 1994, Goodwin 1997, Sharrock & Coulter 1998). While there are clearly physiological mechanisms required for vision, psychological accounts of perception in terms of inner mental representations have been dislodged from their position as the basic term in (...) the interface between human beings and their environment and replaced with terms such as "social practice," and "vernacular intelligibility." The focus for these .. (shrink)

This article deals with the nature of the visual representation of knowledge with historical and contemporary examples of the analysis of its defining characteristics as epistemic, heuristic and communicative representation. With this aim along the text we explain the visual material features and their relationship with the elaboration of scientific knowledge. And, finally, we must take into account the status of scientific representation in the complex of contemporary visual culture claiming the urgent need to address this type of particular representation (...) of visuals with greater intensity from its epistemic, heuristic and communicative nature. (shrink)

This article examines how problems of validity in empirical social research differ from those in natural science. Specifically, we focus on how some ontological peculiarities of the object of study in social science bear on validity requirements. We consider these issues in experimental validity as well as in test validity because, while both fields hold large intellectual traditions, research tests or questionnaires are less closely connected to natural science methodology than experiments.

In previous work, I described several examples combining reduction and emergence: where reduction is understood a la Ernest Nagel, and emergence is understood as behaviour that is novel. Here, my aim is again to reconcile reduction and emergence, for a case which is apparently more problematic than those I treated before: renormalization. My main point is that renormalizability being a generic feature at accessible energies gives us a conceptually unified family of Nagelian reductions. That is worth saying since philosophers tend (...) to think of scientific explanation as only explaining an individual event, or perhaps a single law, or at most deducing one theory as a special case of another. Here we see a framework in which there is a space of theories endowed with enough structure that it provides a family of reductions. (shrink)

Change is endemic in nature yet scientists seek stability amidst change. When proposals fail scientists shift their focus and look for stability elsewhere. Scholars who study the development of science also seek stability in the scientific process. Here I explore the interaction between stability and change in nature as we understand it through the sciences and in the practice of scientific research. The concluding part argues that the search for stability meets a human intellectual need but this is compatible with (...) our finding what is actually there. Cases in which a previously accepted part of science is rejected or revised in response to contrary data indicates that we do not predetermine outcomes of observations and experiments. Still, the belief that there are loci of stability in nature is a working hypothesis. While it has been fruitful, only future scientific developments can determine if this will continue to hold. (shrink)

A literary approach to scientific practice: Essay Review of R.I.G. Hughes' _The Theoretical Practices of Physics_.

I discuss here the definition of computer simulations, and more specifically the views of Humphreys, who considers that an object is simulated when a computer provides a solution to a computational model, which in turn represents the object of interest. I argue that Humphreys's concepts are not able to analyse fully successfully a case of contemporary simulation in physics, which is more complex than the examples considered so far in the philosophical literature. I therefore modify Humphreys's definition of simulation. I (...) allow for several successive layers of computational models, and I discuss the relations that exist between these models, the computer, and the object under study. An aim of my proposal is to clarify the distinction between computational models and numerical methods, and to better understand the representational and the computational functions of models in simulations. (shrink)

The term Monte Carlo method indicates any computer-aided procedure for numerical estimation that combines mathematical calculations with randomly generated numerical input values. Today it is an important tool in high energy physics while physicists and philosophers also often consider it a sort of virtual experiment. The Monte Carlo method was developed in the 1940s, in the context of U.S. American nuclear weapons research, an event often regarded as the origin of both computer simulation and “artificial reality” (Galison 1997). The present (...) paper interrogates this strong claim by focusing on the emergence of Monte Carlo event generators in particle physics in the early 1960s. This historical case study shows how, as Monte Carlo computation became part of the toolbox of particle physicists around 1960, it was neither usually referred to as a “computer simulation” nor was it regarded as a surrogate for experimentation. In revising the history of this method, this paper asks, in what context did particle physicists of the 1960s decide to create FAKE, the first high-energy-physics Monte Carlo event simulator? What was their goal? And what epistemic role did FAKE play? In answering these questions, it is argued that Monte Carlo computations were not introduced into particle physics to simulate experiments, but rather they played the role of theoretical tools. The Monte Carlo method was able to do this thanks to its random component, a property which provided a means of modeling a specific phenomenon, so-called “(particle) resonances”. Indeed, in doing so, event generators even came to mutually assimilate and reshape the notions of particle and resonance, taking up an epistemic function which had previously been confined to physical-mathematical formulae: that of a medium which could express aspects of particle theory. (shrink)

The article addresses the issue of dynamics of science, in particular of new sciences born in twentieth century and developed after the Second World War (information science, materials science, life science). The article develops the notion of search regime as an abstract characterization of dynamic patterns, based on three dimensions: the rate of growth, the degree of internal diversity of science and the associated dynamics (convergent vs. proliferating), and the nature of complementarity. The article offers a conceptual discussion for the (...) argument that new sciences follow a different pattern than established sciences and presents preliminary evidence drawn from original data in particle physics, computer science and nanoscience. (shrink)

This paper draws a parallel between two contemporary French conceptions of sociology. Each is first considered in terms of the principles and strategies of its sociological method. Through an analogy with Marx's philosophy of social science, critical sociology is shown to make an heuristic use for the analysis of cultures and social structures of the resistance to sociology that the sociologist encounters in the social objects, whereas pragmatic sociology adopts a pluralistic and descriptive strategy towards actions, actors and things. The (...) paper then tries to show how common interests or trading zones could allow both critical and pragmatic sociology to profit from their competitive relation by taking each other as objects of sociological analysis. (shrink)

Monte Carlo simulations arrive at their results by introducing randomness, sometimes derived from a physical randomizing device. Nonetheless, we argue, they open no new epistemic channels beyond that already employed by traditional simulations: the inference by ordinary argumentation of conclusions from assumptions built into the simulations. We show that Monte Carlo simulations cannot produce knowledge other than by inference, and that they resemble other computer simulations in the manner in which they derive their conclusions. Simple examples of Monte Carlo simulations (...) are analysed to identify the underlying inferences. (shrink)

It is often claimed that scientists can obtain new knowledge about nature by running computer simulations. How is this possible? I answer this question by arguing that computer simulations are arguments. This view parallels Norton’s argument view about thought experiments. I show that computer simulations can be reconstructed as arguments that fully capture the epistemic power of the simulations. Assuming the extended mind hypothesis, I furthermore argue that running the computer simulation is to execute the reconstructing argument. I discuss some (...) objections and reject the view that computer simulations produce knowledge because they are experiments. I conclude by comparing thought experiments and computer simulations, assuming that both are arguments. (shrink)

This paper aims to contribute to current discussions about methods in anthropological (especially ethnographic) research on the cultures of the internet. It does so by considering how technology has been presented in turn as an epistemological boon and bane in methodological discourse around virtual or online ethnography, and cyberanthropology. It maps these discussions with regards to intellectual traditions and ambitions of ethnographic research and social science, and considers how these views of technology relate to modernist discourse about the value of (...) technology for producing a particular kind of objective knowledge. For this article, I have examined a number of monographs and methodological texts in which the internet, as both a new setting and a new technology for doing ethnography, is shown to raise new issues for ethnographic work and for theorising anthropological approaches. In this material, questions of presence, field relations (including trust and confidentiality), and new possibilities for observation are especially prominently discussed. Anxieties about whether the internet can be a field at all are also expressed. In my analysis, I place these issues and dilemmas facing the researcher in the context of the intellectual tradition of ethnography as applied to technology. The main themes found to subtend these discussions of ethnography’s ‘way of knowing’ are the notion of ‘field’, technology, intersubjectivity and capture. The paper ends with a reflection on the kind of knowledge about the internet that ethnography can be expected to produce, given these methodological prescriptions. (shrink)

This article makes a dual contribution to scholarship in science and technology studies on simulation-building. It both documents a specific simulation-building project, and demonstrates a concrete contribution of STS insights to interdisciplinary work. The article analyses the struggles that arise in the course of determining what counts as theory, as model and even as a simulation. Such debates are especially decisive when working across disciplinary boundaries, and their resolution is an important part of the work involved in building simulations. In (...) particular, we show how ontological arguments about the value of simulations tend to determine the direction of simulation-building. This dynamic makes it difficult to maintain an interest in the heterogeneity of simulations and a view of simulations as unfolding scientific objects. As an outcome of our analysis of the process and reflections about interdisciplinary work around simulations, we propose a chart, as a tool to facilitate discussions about simulations. This chart can be a means to create common ground among actors in a simulation-building project, and a support for discussions that address other features of simulations besides their ontological status. Rather than foregrounding the chart’s classificatory potential, we stress its role in discussing and reflecting on simulation-building as interdisciplinary endeavor. This chart is a concrete instance of the kinds of contributions that STS can make to better, more reflexive practice of simulation-building. (shrink)