This paper argues that Ludwik Fleck’s concepts of thought collectives and proto-ideas are surprisingly topical to tackle some conceptual challenges in analyzing contemporary innovation. The objective of this paper is twofold: First, it strives to establish Ludwik Fleck as an important classic on the map of innovation analysis. A systematic comparison with Thomas Kuhn’s work on paradigms, a concept highly influential in various branches of innovation studies, suggests a number of pronounced yet under-researched advantages of a Fleckian perspective in the (...) context of technological change and innovation. Secondly, the paper links these advantages to some recent changes in the organization of innovation. Due to the rising pervasiveness of Information and Communication Technologies (ICTs), configurational innovation has become commonplace that cuts across the boundaries of established trajectories of knowledge generation. Fleck’s graded understanding of the closedness of thought collectives and his weak notion of incommensurability provide powerful metaphors to grasp the peculiarities of configurational innovation. (shrink)

Computer simulation has become important in ecological modeling, but there have been few assessments on how complex simulation models differ from more traditional analytic models. In Part I of this paper, I review the challenges faced in complex ecological modeling and how models have been used to gain theoretical purchase for understanding natural systems. I compare the use of traditional analytic simulation models and point how that the two methods require different kinds of practical engagement. I examine a case study (...) of three models from the insect resistance literature in transgenic crops to illustrate and explore differences in analytic and computer simulation models. I argue that analyzing simulation models has been often inappropriately managed with expectations derived from handling analytic models. In Part II, I look at simulation as a hermeneutic practice. I argue that simulation models are a practice or techné. I the explore five aspects of philosophical hermeneutics that may be useful in complex ecological simulation: (1) an openness to multiple perspectives allowing multiple levels of scientific pluralism, (2) the hermeneutic circle, a back and forth in active communication among both modelers and ecologists; (3) the recognition of human factors and the nature of human practices as such, including recognizing the role of judgments and choices in the modeling enterprise; (4) the importance of play in modeling; (5) the non-closed nature of hermeneutic engagement, continued dialogue, and recognizing the situatedness, incompleteness, and tentative nature of simulation models. (shrink)

This highly multidisciplinary collection discusses an increasingly important topic among scholars in science and technology studies: objectivity in science. It features eleven essays on scientific objectivity from a variety of perspectives, including philosophy of science, history of science, and feminist philosophy. Topics addressed in the book include the nature and value of scientific objectivity, the history of objectivity, and objectivity in scientific journals and communities. Taken individually, the essays supply new methodological tools for theorizing what is valuable in the pursuit (...) of objective knowledge and for investigating its history. The essays offer many starting points, while suggesting new avenues of research. Taken collectively, the essays exemplify the very virtues of objectivity that they theorize—in reading them together, the reader can sense various anxieties about the dangerously subjective in our age and locate commonalities of concern as well as differences of approach. As a result, the volume offers an expansive vision of a research community seeking a communal understanding of its own methods and its own epistemic anxieties, struggling to enunciate the key problems of knowledge of our time and offer insight into how to overcome them. -/- (Contributors: Alex Csiszar, Scott Edgar, Peter Galison, Ian Hacking, Sandra Harding, Moira Howes, Paolo Savoia, Judy Segal, Joan Steigerwald, and Alison Wylie). (shrink)

In Social Empiricism, Miriam Solomon proposes a via media between traditional philosophical realism and social construction of scientific knowledge, but ignores a large body of historical literature that has attempted to plough just that path. She also proposes a standard for normatively appropriate consensus that, arguably, no theory in the history of science has ever achieved, including her own ideal type—plate tectonics. And while valorizing dissent, she fails to consider how dissent has been used in recent decades as a political (...) tool to challenge scientific evidence on diverse issues, including the link between tobacco and cancer and the reality of anthropogenic global warming. (shrink)

If the twentieth century was the age of the world picture taken as a photograph of the Whole Earth from outer space, today’s observations of the planet are produced by means of computer simulation. Pandemic models are of paramount sociological interest in this respect, since modelling contagion is closely intertwined with modelling the material connectivities of social life. By envisioning the global dynamics of disease transmission, pandemic simulations enact the relationscapes of a transnational world. This article seeks to analyse such (...) an enactment: It asks how simulation methods can establish a particular relation to the social from within the social. To provide an answer to this question, and adopting Niklas Luhmann’s theory of world society, pandemic simulations are described as modes of global self-observation that can be specified factually, socially, spatially and temporally. They instantiate a ‘doubling of reality’ designed to apprehend the potential future threat of disease transmission along the pathways marked by global infrastructures. They constitute scopic regimes that virtually synthesize a global situation of universal communicability in order to turn the world into an object of political intervention. (shrink)

The last forty years have produced a dramatic reversal in leading accounts of science. Once thought necessary to (explain) scientific progress, a rigid method of science is now widely considered impossible. Study of products yields to study of processes and practices, .unity gives way to diversity, generality to particularity, logic to luck, and final justification to heuristic scaffolding. I sketch the story, from Bacon and Descartes to the present, of the decline and fall of traditional scientific method, conceived as The (...) Central Planning Bureau for Science or as Rationality Czar. I defend a deflationary account of method and of rational judgment,. with emphasis on heuristic appraisal and cognitive economy. (shrink)

Some philosophers argue that many contemporary debates in metaphysics are “illegitimate,” “shallow,” or “trivial,” and that “contemporary analytic metaphysics, a professional activity engaged in by some extremely intelligent and morally serious people, fails to qualify as part of the enlightened pursuit of objective truth, and should be discontinued” (Ladyman and Ross, Every thing must go: Metaphysics naturalized , 2007 ). Many of these critics are explicit about their sympathies with Rudolf Carnap and his circle, calling themselves ‘neo-positivists’ or ‘neo-Carnapians.’ Yet (...) despite the fact that one of the main conclusions of logical positivism was that metaphysical statements are meaningless, many of these neo-positivists are themselves engaged in metaphysical projects. This paper aims to clarify how we may see a neo-positivist metaphysics as proceeding in good faith, one that starts with serious engagement with the findings of science, particularly fundamental physics, but also has room for traditional, armchair methods. (shrink)

Appeals to some thesis of underdetermination, to the idea that scientific theories and hypotheses are not entailed by the evidence that supports them, are common in feminist philosophy of science. These appeals seek to understand and explain how androcentrism and other problematic approaches to gender have found their way into good science, as well as the reverse – how feminist approaches to gender and science that are also value-laden, can contribute to good science. Focusing on W.V. Quine’s positions on holism (...) and underdetermination, I argue that although Quine’s general thesis of holism does not entail his thesis of global underdetermination, his account of and arguments for moderate holism entail a localized and generalizable underdetermination, which I call moderate underdetermination. This moderate underdetermination is not transient or true of only some theories and hypotheses. Rather, it is a permanent state of affairs that characterizes all reasonably inclusive theories and hypotheses, however much evidence for them accumulates. I contend that Quine’s moderate holism entails the most robust and defensible argument for localized underdetermination, and that feminists would do well to appeal to it in arguing that values inform good science. (shrink)

Because of the gross difficulties in measuring the societal impact of academic research, qualitative approaches have been developed in the last decade mostly based on forms of interaction between university and other societal stakeholders. In this paper, we suggest a framework for qualitative analysis based on the distinction between three dimensions of societal impact: epistemological, artefactual and interactive-institutional. The epistemological dimension addresses what new research results and understanding of relevant phenomena have contributed to solving of technological and societal problems. The (...) artefactual dimension comprises analysis of the artefacts, methods, tools and services through the use of which societal impact is realized. Finally, in the interactional–institutional dimension the forms and forums of collaboration between university and other societal actors are explored. The model is elaborated by analyzing the work of three university research groups in different disciplines. The framework may be used in articulating formative and dialogical peer evaluation of research to foster learning and social improvement as well as in evaluation of research proposals and research programs. (shrink)

The ArgumentWhat kind of objects are computer programs used for simulation purposes in scientific settings? The current investigation treats a special case. It focuses on “event generators,” the program packages that particle physicists construct and use to simulate mechanisms of particle production. The paper is an attempt to bring the multiplex and unfolding character of such knowledge objects to the fore: Multiple meanings and functions are embodied in the object and can be drawn out selectively according to the requirements of (...) a work setting. The object's conceptual complexity governs its application in some contexts, while the object is considered a mere “black box,” transparent and ready-to-hand, in others. These two poles span a full spectrum of object aspects, functions, and conceptions. Event generators are ideas turned into software, testing grounds for models, just a tool to study the performance of a detector, etc. The object's multiplex nature is submitted to negotiation among different actors. (shrink)

In this article, I introduce the notion of horizon for scientific practice (HSP), representing limits or boundaries within which scientists ply their trade, to facilitate analysis of scientific discovery and progress. The notion includes not only constraints that delimit scientific practice, e.g. of bringing experimentation to a temporary conclusion, but also possibilities that open up scientific practice to additional scientific discovery and to further scientific progress. Importantly, it represents scientific practice as a dynamic and developmental integration of activities to investigate (...) and analyze the natural world. I use the discovery of the clotting factor, thrombin, and the experiments conducted by the Johns Hopkins physiologist, William Howell, on the enzymatic nature of thrombin to illustrate the notion of HSP. In a concluding section, I compare the notion of HSP to other notions for scientific practice proposed in the history and philosophy of science literature. (shrink)

Philosophy of science in the past half century can be seen as a reaction against logical empiricism's focus on modern logic as the format in which debates should be expressed and on physics as the canonical science. These reactions have resulted in a fragmentation of the field. Although this provides ways forward for disparate philosophies of various sciences, it threatens the very possibility of general philosophy of science. The debate that most obviously continues to be conducted at the general level—the (...) debate about scientific realism—only does so because of a dangerous naïveté. Nevertheless, this article suggests that there is a place for general work not by starting at the highest level of abstraction but instead by abstracting general lessons from actual science. (shrink)

Drawing from literature in the social studies of science, this paper historicizes two pivotal concepts in science literacy: the definition of life and the assumption of objectivity. In this paper we suggest that an understanding of the historical, discursive production of scientific knowledge affects the meaning of scientific literacy in at least three ways. First, a discursive study of scientific knowledge has the epistemological consequence of avoiding the selective perception that occurs when facts are abstracted from the historical conditions of (...) their emergence. Second, a discursive approach to scientific knowledge can also be an example of science‐as‐exploration. Third, literacy and discourse studies contribute insights that alter assumptions about pedagogical appropriateness in science education. The paper concludes by suggesting that when science literacy includes the historical production of scientific knowledge, it can thereby extend the possibilities for what can be thought, studied and imagined in the name of science education. (shrink)

Nietzsche sometimes praises the drive to order—to simplify, organize, and draw clear boundaries—as expressive of a vital "classical" style, or an Apollonian artistic drive to calmly contemplate forms displaying "epic definiteness and clarity." But he also sometimes harshly criticizes order, as in the pathological dialectics or "logical schematism" that he associates paradigmatically with Socrates. I challenge a tradition that interprets Socratism as an especially one-sided expression of, or restricted form of attention to, the Apollonian: they are more radically disparate. Beyond (...) strengthening the case for this basic point, I develop a distinctive account of what, exactly, distinguishes the Apollonian-classical and Socratic forms of order. To this end, I advance interrelated interpretations of Apollonian-classical simplicity and the "cold" calm that it elicits, by contrast to superficially similar Socratic phenomena. This illuminates Nietzsche's broader ambivalence toward science, in part by clarifying the nature and value of an idealized Apollonian science. (shrink)

The goal of the present article is to contribute to the epistemology and methodology of computer simulations. The central thesis is that the process of simulation modeling takes the form of an explorative cooperation between experimenting and modeling. This characteristic mode of modeling turns simulations into autonomous mediators in a specific way; namely, it makes it possible for the phenomena and the data to exert a direct influence on the model. The argumentation will be illustrated by a case study of (...) the general circulation models of meteorology, the major simulation models in climate research. (shrink)

The Swiss psychiatrist Ludwig Binswanger is best known for his existential analysis (Daseinsanalyse) presented in a series of case studies in the 1940s, but his existential anthropology of mania of the early 1930s has received less attention. He introduced this new existential science as a disciplinary hybrid of existential philosophy and clinical psychiatry, and, in doing so, transformed the genre of narrow medical case study into a broader discourse of philosophical anthropology. The very ambitiousness of his method, however, tended to (...) eclipse the individuality of his manic patient; its delineation of the conditioning structures of manic experience rendered the patient’s life-history and her functional state as secondary to these structures. (shrink)

Rather than assume a unitary cybernetics, I ask how its disunity mattered to the history of the human sciences in the United States from about 1940 to 1980. I compare the work of four prominent social scientists – Herbert Simon, George Miller, Karl Deutsch, and Talcott Parsons – who created cybernetic models in psychology, economics, political science, and sociology with the work of anthropologist Gregory Bateson, and relate their interpretations of cybernetics to those of such well-known cyberneticians as Norbert Wiener, (...) Warren McCulloch, W. Ross Ashby, and Heinz von Foerster. I argue that viewing cybernetics through the lens of disunity – asking what was at stake in choosing a specific cybernetic model – shows the complexity of the relationship between first-order cybernetics and the postwar human sciences, and helps us rethink the history of second-order cybernetics. (shrink)

Diane Vaughan’s analysis of the causes of the Challenger accident suggests ways to apply science and technology studies to the teaching of engineering ethics. By sensitizing future engineers to the ongoing construction of risk during mundane engineering practice, we can better prepare them to address issues of public health, safety, and welfare before they require heroic intervention. Understanding the importance of precedents, incremental change, and fallible engineering judgment in engineering design may help them anticipate potential threats to public safety arising (...) from routine aspects of workplace culture. We suggest modifications of both detailed case studies on engineering disasters and hypothetical, ethical dilemmas employed in engineering ethics classes. Investigating the sociotechnical aspects of engineering practice can improve the initial recognition of ethical problems in real-world settings and provide an understanding of the role of workplace organization and culture in facilitating or impeding remedial action. (shrink)

This paper explores the relationship between epistemic integrity, virtue, and authority by offering a virtue epistemological reading of the defences of non-scientific beliefs, practices, and traditions in the writings of Paul Feyerabend. I argue that there was a robust epistemic rationale for those defences and that it can inform contemporary reflection on the epistemic authority of the sciences. Two common explanations of the purpose of those defences are rejected as lacking textual support. A third “pluralist” reading is judged more persuasive, (...) but found to be incomplete, owing to a failure to accommodate Feyerabend’s focus upon the integrity of scientists and the authority of science. I therefore suggest that the defences are more fully understood as defences of the epistemic integrity of scientists that take the form of critical exposures of failures by scientists to act with integrity. An appeal is made to contemporary virtue epistemology that clarifies Feyerabend’s implicit association of epistemic... (shrink)

Philosophy of biology, perhaps more than any other philosophy of science, is a discipline in flux. What counts as consensus and key arguments in certain areas changes rapidly.The publication of Contemporary Debates in Philosophy of Biology (2010 Wiley-Blackwell) is reviewed and is used as a catalyst to a discussion of the recent expansion of subjects and perspectives in the philosophy of biology as well as their diverse epistemological and methodological commitments.

Research communication in interdisciplinary research projects requires a way of demarcation of theory and knowledge that is easy to communicate, is inconsequential for the framework of concepts, results, and procedures within existing scientific disciplines, and abstains from trying to resolve the dispute between (neo)positivists and constructivists. A simple way of demarcation starts from the notion of language-independent and language-dependent reality. Currently, what passes for knowledge (“news”) and myth (“fake news”) depends, besides on sheer volume and frequency of the messages, increasingly (...) on the internal consistency of (computer) language-dependent reality and decreasingly on language-independent reality. All language is instruction, and knowledge is to know which instructions (that is, theory) are predictive of a result, state, or situation in language-independent reality. Any theory that doesn’t reduce outcome space, or contains one or more empirically/physically impossible instructions, or produces wrong predictions, or falls short of demonstration is not knowledge. (shrink)

Nancy Cartwright argues that so-called capacities, not universal laws of nature, best explain the often complex way events actually unfold. On this view, science would represent a world that is fundamentally "dappled", or disunified, and not, as orthodoxy would perhaps have it, a world unified by universal laws of nature. I argue, first, that the problem Cartwright raises for laws of nature seems to arise for capacities too, so why reject laws of nature? Second, that in so far as there (...) is a problem, it concerns the role of counterfactuals in explanation; I then briefly propose a simple model of counterfactual explanation. Finally, I investigate how a sophisticated version of the regularity theory of laws of nature (that of Ramsey-Lewis) can be neutral between the empirical hypotheses that the world is unified, and that the world is disunified. (shrink)

Many research-intensive universities have moved into the business of promoting technology development that promises revenue, impact, and legitimacy. While the scholarship on academic capitalism has documented the general dynamics of this institutional shift, we know less about the ground-level challenges of research priority and scientific problem choice. This paper unites the practice tradition in science and technology studies with an organizational analysis of decision-making to compare how two university artificial intelligence labs manage ambiguities at the edge of scientific knowledge. One (...) lab focuses on garnering funding through commercialization schemes, while the other is oriented to federal science agencies. The ethnographic comparison identifies the mechanisms through which an industry-oriented lab can be highly adventurous yet produce a research program that is thin and erratic due to a priority placed on commercialization. However, the comparison does not yield an implicit nostalgia for federalized science; it reveals the mechanisms through which agency-oriented labs can pursue a thick and consistent research portfolio but in a strikingly myopic fashion. (shrink)

The Health Council of the Netherlands is an independent scientific advisory board to the Dutch government in matters of public health. In this article we argue that even for an independent body such as the Health Council there seems to be no escape from the increasing intertwinement of scientific and societal processes. In order to produce a serviceable truth for policymaking, the council needs to reflect on what goes on in its socio-political surroundings. On the other hand, how could we (...) ever come to understand the legitimacy of the council when notions of scientific objectivity dissolve in such a reflexive, inherently political stance? In a situation where science and society are thoroughly interrelated, the Health Council somehow succeeds in bringing about or re-claiming some sense of objectivity. Our central question will be how to conceptualise this notion of 'objectivity' without having to rely on idealized notions of objectivity that are criticized in philosophical, sociological and historical studies of science and society. In order to do so, we will regard the objectivity of advisory reports of the Health Council as being constructed out of heterogeneous elements and under complex circumstances. The theoretical point will be empirically underpinned with case material drawn from activities of the Health Council in the period 1985-2002 in predominantly the subject areas healthcare and medical technology. (shrink)

A distinctive form of anticolonial analysis has been emerging from Latin America in recent decades. This decolonial theory argues that important new insights about modernity, its politics, and epistemology become visible if one starts off thinking about them from the experiences of those colonized by the Spanish and Portuguese in the Americas. For the decolonial theorists, European colonialism in the Americas, on the one hand, and modernity and capitalism in Europe, on the other hand, coproduced and coconstituted each other. The (...) effects of that history persist today. Starting thought from these LA histories and current realities enables envisioning new resources for social transformations. These decolonial insights seem to receive only a passing recognition in the Latin American social studies of science and technology projects that have begun cosponsoring events and publications with northern equivalents. My focus will be primarily on the decolonial theory and on just two of its themes. One is the critical resources it offers for creating more accurate and progressive northern philosophies and histories of science as well as social studies of science. The second is insights from Latin American feminists that carry different impacts in the context of the decolonial accounts. (shrink)

Ecology has had a lower profile in Biology & Philosophy than one might expect on the basis of the attention ecology is given in public discussions in relation to environmental issues. Our tentative explanation is that ecology appears theoretically redundant within biology and, consequently, philosophically challenging problemsrelated to biology are commonly supposed to be somewhere else, particularly in the molecular sphere. Richard Levins has recognized the genuine challenges posed by ecology for theoretical and philosophical thinking in biology. This essay sets (...) the stage for appreciating his work; it was preceded by four articles published in Biology & Philosophy 15(2),and is followed by a personal reminiscent. (shrink)

The problem of epistemic opacity in Artificial Intelligence is often characterised as a problem of intransparent algorithms that give rise to intransparent models. However, the degrees of transparency of an AI model should not be taken as an absolute measure of the properties of its algorithms but of the model’s degree of intelligibility to human users. Its epistemically relevant elements are to be specified on various levels above and beyond the computational one. In order to elucidate this claim, I first (...) contrast computer models and their claims to algorithm-based universality with cybernetics-style analogue models and their claims to structural isomorphism between elements of model and target system. While analogue models aim at perceptually or conceptually accessible model-target relations, computer models give rise to a specific kind of underdetermination in these relations that needs to be addressed in specific ways. I then undertake a comparison between two contemporary AI approaches that, although related, distinctly align with the above modelling paradigms and represent distinct strategies towards model intelligibility: Deep Neural Networks and Predictive Processing. I conclude that their respective degrees of epistemic transparency primarily depend on the underlying purposes of modelling, not on their computational properties. (shrink)

Syntactic and structural models specify relationships between their constituents but cannot show what outcomes their interaction would produce over time in the world. Simulation consists in iterating the states of a model, so as to produce behaviour over a period of simulated time. Iteration enables us to trace the implications and outcomes of inference rules and other assumptions implemented in the models that make up a theory. We apply this method to experiments which we treat as models of the particular (...) aspects of reality they are designed to investigate. Scientific experiments are constantly designed and re-designed in the context of implementation and use. They mediate between theoretical understanding and the practicalities of engaging with the empirical and social world. In order to model experiments we need to identify and represent features that all experiments have in common. We treat these features as parameters of a general model of experiment so that by varying these parameters different types of experiment can be modelled. (shrink)

: Faraday is often described as an experimentalist, but his work is a dialectical interplay of concrete objects, visual images, abstract, theoretically-informed visual models and metaphysical precepts. From phenomena described in terms of patterns formed by lines of force he created a general explanation of space-filling systems of force which obey both empirical laws and principles of conservation and economy. I argue that Faraday's articulation of situated experience via visual models into a theory capable of verbal expression owed much to (...) his strategy of moving—via conjectural visual models—between the phenomenology of particulars (often displayed as patterns) and the general features of dynamical phenomena which he depicted as structures. (shrink)

Throughout the medieval and modern periods, in various sacred and secular guises, the unification of all forms of knowledge under the rubric of ‘science’ has been taken as the prerogative of humanity as a species. However, as our sense of species privilege has been called increasingly into question, so too has the very salience of ‘humanity’ and ‘science’ as general categories, let alone ones that might bear some essential relationship to each other. After showing how the ascendant Stanford School in (...) the philosophy of science has contributed to this joint demystification of ‘humanity’ and ‘science’, I proceed on a more positive note to a conceptual framework for making sense of science as the art of being human. My understanding of ‘science’ is indebted to the red thread that runs from Christian theology through the Scientific Revolution and Enlightenment to the Humboldtian revival of the university as the site for the synthesis of knowledge as the culmination of self-development. Especially salient to this idea is science‘s epistemic capacity to manage modality (i.e. to determine the conditions under which possibilities can be actualised) and its political capacity to organize humanity into projects of universal concern. However, the challenge facing such an ideal in the twentyfirst century is that the predicate ‘human’ may be projected in three quite distinct ways, governed by what I call ‘ecological’, ‘biomedical’ and ‘cybernetic’ interests. Which one of these future humanities would claim today’s humans as proper ancestors and could these futures co-habit the same world thus become two important questions that general philosophy of science will need to address in the coming years. (shrink)

In the twentieth century, philosophy came to be dominated by the English-speaking world, first Britain and then the United States. Accompanying this development was an unprecedented professionalization and specialization of the discipline, the consequences of which are surveyed and evaluated in this article. The most general result has been a decline in philosophy's normative mission, which roughly corresponds to the increasing pursuit of philosophy in isolation from public life and especially other forms of inquiry, including ultimately its own history. This (...) is how the author explains the increasing tendency, over the past quarter-century, for philosophy to embrace the role of "underlaborer" for the special sciences. Indicative of this attitude is the long-term popularity of Thomas Kuhn's The Structure of Scientific Revolutions, which argues that fields reach maturity when they forget their past and focus on highly specialized problems. In conclusion, the author recalls the history of philosophy that, following Kuhn's advice, has caused us to forget, namely, the fate of Neo-Kantianism in the early twentieth century. Key Words: analytic philosophy • normative • positivism • pragmatism • professionalism • underlaborer. (shrink)

Computer simulations are an exciting tool that plays important roles in many scientific disciplines. This has attracted the attention of a number of philosophers of science. The main tenor in this literature is that computer simulations not only constitute interesting and powerful new science , but that they also raise a host of new philosophical issues. The protagonists in this debate claim no less than that simulations call into question our philosophical understanding of scientific ontology, the epistemology and semantics of (...) models and theories, and the relation between experimentation and theorising, and submit that simulations demand a fundamentally new philosophy of science in many respects. The aim of this paper is to critically evaluate these claims. Our conclusion will be sober. We argue that these claims are overblown and that simulations, far from demanding a new metaphysics, epistemology, semantics and methodology, raise few if any new philosophical problems. The philosophical problems that do come up in connection with simulations are not specific to simulations and most of them are variants of problems that have been discussed in other contexts before. (shrink)

Although true in some aspects, the suggested characterization of today’s science as a dichotomy between traditional science and data-driven science misses some of the nuance, complexity, and possibility that exists between the two positions. Part of the problem is the claim that Data Science works without theories. There are many theories behind the data that are used in science. However, for data science, the only theories that matter are those in mathematics, statistics, and computer science. In this conceptual paper, we (...) add two other philosophy of science tenets, experiments and data, to the discussion to create a more nuanced view of how data science uses theories. Following Ihde’s concept of technoscience and the incessant quest for more precision, magnification, and resolution, we argue that technology-driven science created a need for more technology-driven science, culminating in data science. Further, we adapt Hacking and Galison’s views on physics to argue that data science is also an experimental science, which uses data objects in experiments. Drawing from Heelan, we called these objects “data-objects-for-knowing”. Finally, we conclude that data science is a science to study artificially created phenomena—a science to study the data manipulated by the equations and operations of AI. It disregards the connections between data and the real world that were carefully built by the theories from other sciences. In the experiments of data science, data are the world itself. The knowledge created by data science is purposely disconnected from any theory from other sciences; it is a knowledge for the sake of itself. (shrink)

The impending implementation of pre-exposure prophylaxis has prompted complicated bioethical and public health ethics concerns regarding the moral distribution of antiretroviral medications to ostensibly healthy populations as a form of HIV prevention when millions of HIV-positive people still lack access to ARVs globally. This manuscript argues that these questions are, in part, concerns over the ethics of the knowledge production practices of epidemiology. Questions of distribution, and their attendant cost-benefit calculations, will rely on a number of presupposed, and therefore, normatively (...) cultural assumptions within the science of epidemiology specifically regarding the ability of epidemiologic surveillance to produce accurate maps of HIV throughout national populations. Specifically, ethical questions around PrEP will focus on who should receive ARVs given the fact that global demand will far exceed supply. Given that sexual transmission is one of the main modes of HIV transmission, these questions of ‘who’ are inextricably linked to knowledge about sexual personhood. As a result, the ethics of epidemiology, and how the epidemiology of HIV in particular conceives, classifies and constructs sexual populations will become a critical point of reflection and contestation for bioethicists, health activists, physicians, nurses, and researchers in the multi-disciplinary field of global health. This paper examines how cultural conundrums within the fields of bioethics and public health ethics are directly implicated within the ethics of PrEP, by analyzing the problems of population inaugurated by the construction of the men who have sex with men epidemiologic category in the specific national context of South Africa. (shrink)

Drawing from literature in the social studies of science, this paper historicizes two pivotal concepts in science literacy: the definition of life and the assumption of objectivity. In this paper we suggest that an understanding of the historical, discursive production of scientific knowledge affects the meaning of scientific literacy in at least three ways. First, a discursive study of scientific knowledge has the epistemological consequence of avoiding the selective perception that occurs when facts are abstracted from the historical conditions of (...) their emergence. Second, a discursive approach to scientific knowledge can also be an example of science‐as‐exploration. Third, literacy and discourse studies contribute insights that alter assumptions about pedagogical appropriateness in science education. The paper concludes by suggesting that when science literacy includes the historical production of scientific knowledge, it can thereby extend the possibilities for what can be thought, studied and imagined in the name of science education. (shrink)

This paper examines the relationship between simulation and experiment. Many discussions of simulation, and indeed the term "numerical experiments," invoke a strong metaphor of experimentation. On the other hand, many simulations begin as attempts to apply scientific theories. This has lead many to characterize simulation as lying between theory and experiment. The aim of the paper is to try to reconcile these two points of viewto understand what methodological and epistemological features simulation has in common with experimentation, while at the (...) same time keeping a keen eye on simulation's ancestry as a form of scientific theorizing. In so doing, it seeks to apply some of the insights of recent work on the philosophy of experiment to an aspect of theorizing that is of growing philosophical interest: the construction of local models. (shrink)

This paper offers a contribution to debates around integrative aspects of systems biology and engages with issues related to the circumstances under which physicists look at biological problems. We use oral history as one of the methodological tools to gather the empirical material, conducting interviews with physicists working in systems biology. The interviews were conducted at several institutions in Brazil, Germany, Israel and the U.S. Biological research has been increasingly dependent on computational methods, high-throughput technologies, and multidisciplinary skills. Quantitative scientists (...) are joining biological departments and collaborations between physicists and biologists are particularly vigorous. This state of affairs raises a number of questions, such as: What are the circumstances under which physicists approach biological problems in systems biology? What kind of interdisciplinary challenges must be tackled? The paper suggests that, concerning physicists’ move to work on biological systems, there are common reasons to move, the transition must be understood in terms of degrees, physicists have a rationale for simplifying systems, and distinct conceptions of model and modeling strategies are recurrent. We identified problems regarding linguistic clarity and integration of epistemological aims. We conclude that cultural unconformities within the systems biology community have important consequences to the flow of scientific knowledge. (shrink)

The ArgumentThis paper sets out a framework for understanding how the scientific community constructs computer simulation as an epistemically and pragmatically useful methodology. The framework is based on comparisons between simulation and the loosely-defined categories of “theoretical work” and “experimental work.” Within that framework, the epistemological adequacy of simulation arises from its role as a mathematical manipulation of a complex, abstract theoretical model. To establish that adequacy demands a detailed “theoretical” grasp of the internal structure of the computer program. Simultaneously, (...) the pragmatic usefulness of simulation arises from its role as a “virtual laboratory.” That role is made possible by black-boxing the internal structure of the program, such that the scientist can interact with the computer in an intuitive, “experimental” manner. Thus simulation is rendered authoritative, opening up encoded theories to a novel, “experimental” type of manipulation. (shrink)

In the 1960s molecular population geneticists used Monte Carlo experiments to evaluate particular diffusion equation models. In this paper I examine the nature of this comparative evaluation and argue for three claims: first, Monte Carlo experiments are genuine experiments: second, Monte Carlo experiments can provide an important meansfor evaluating the adequacy of highly idealized theoretical models; and, third, the evaluation of the computational adequacy of a diffusion model with Monte Carlo experiments is significantlydifferent from the evaluation of the emperical adequacy (...) of the same diffusion model. (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)