This review essay critically discusses Andre Kukla's Methods of theoretical psychology. It is argued that Kukla mistakenly tries to build his case for theorizing in psychology as a separate discipline on a dubious distinction between theory and observation. He then argues that the demise of empiricism implies a return of some form of rationalism, which entails an autonomous role for theorizing in psychology. Having shown how this theory-observation dichotomy goes back to traditional and largely abandoned ideas in epistemology, an alternative (...) is presented in the guise of the pragmatist or functionalist tradition, where the interdependence of theory, observation and action is emphasized and the positivist dichotomy of pure observations and pure theory is rejected. Furthermore, we show how recent work on "active" perception supports the functionalist approach. Although the authors agree with Kukla that theory has a legitimate place in psychology, it is suggested that he needlessly limits its scope to autonomous domain-neutral theorizing, and that broadening its perspective to analyzing the presuppositions and implications of empirical work is a more fruitful approach. In fact, the attempt to find the epistemological and philosophical implications of empirical work in perception that is sketched in this review essay is, in the authors' view, a case of theorizing in psychology. (shrink)

To explain their role in discovery and contrast them with theory-driven research, philosophers of science have characterized exploratory experiments in terms of what they lack: namely, that they lack direction from what have been called “local theories” of the target system or object under investigation. I argue that this is incorrect: it’s not whether or not there is direction from a local theory that matters, but instead how such a theory is used to direct an experiment that matters. Appealing to (...) contemporary exploratory experiments that involve the use of experimental techniques—specifically, examples where scientists explore the interaction of neural activity and human behavior by magnetically stimulating brains—I argue that local theories of a target system can inform auxiliary hypotheses in exploratory experiments, which direct these experiments. These examples illustrate how local theories can direct the exploration of target systems where researchers do not aim to evaluate these theories. (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)

This article explores Michael Faraday’s “Historical Sketch of Electro‐Magnetism” as a fruitful source for understanding the epistemic significance of experimentation. In this work Faraday provides a catalog of the numerous experimental and theoretical developments in the early history of electromagnetism. He also describes methods that enable experimentalists to dissociate experimental results from the theoretical commitments generating their research. An analysis of the methods articulated in this sketch is instructive for confronting epistemological worries about the theory‐dependence of experimentation. †To contact the (...) author, please write to: 10289 Saint Katherine Lane, Saint Ann, MO 63074; e‐mail: [email protected]. (shrink)

I seek to provide a systematic and comprehensive framework for the description and analysis of scientific practice—a philosophical grammar of scientific practice, ‘grammar’ as meant by the later Wittgenstein. I begin with the recognition that all scientific work, including pure theorizing, consists of actions, of the physical, mental, and ‘paper-and-pencil’ varieties. When we set out to see what it is that one actually does in scientific work, the following set of questions naturally emerge: who is doing what, why, and how? (...) More specifically, we must arrive at some coherent philosophical accounts of the following elements of scientific practice: the agent—free, embodied, and constantly in second-person interactions with other agents; the purposes and proximate aims of the agent; types of activities that the agent engages in; ontological principles necessarily presumed for the performance of particular activities; instruments and other resources that the agent pulls together for the performance of each activity. After sketching the general framework, I also give some illustrative contrasts between the more traditional descriptions of scientific practice and the kind of descriptions enabled by the proposed framework. (shrink)

On the relation between experiment and thought experiment in the natural sciences. To understand the reciprocal autonomy and complementarity of thought and real experiment, it is necessary to distinguish between a ‘positive’ (empirical or formal) and a transcendental perspective. Empirically and formally, real and thought experiments are indistinguishable. However, from a reflexive-transcendental viewpoint thought experiment is at the same time irreducible and complementary to real experiment. This is due to the fact that the hypothetical-anticipatory moment is in principle irreducible to (...) physical reality—even though it refers to physical reality and is bound with the empirical use of our understanding. The presence of counterfactuals is the condition of the possibility for thought experiments to become in principle real ones, by means of a series of technical realisations that gradually approximate the idealisations that they contain. (shrink)

Styles of reasoning are important devices to understand scientific practice. As I use the concept, a style of reasoning is a pattern of inferential relations that are used to select, interpret, and support evidence for scientific results. In this paper, I defend the view that there is a plurality of styles of reasoning: different domains of science often invoke different styles. I argue that this plurality is an important source of disunity in scientific practice, and it provides additional arguments in (...) support of the disunity claim. I also contrast Ian Hacking’s broad characterization of styles of reasoning with a narrow understanding that I favor. Drawing on examples from molecular biology, chemistry and mathematics, I argue that differences in style of reasoning lead to differences in the way the relevant results are obtained and interpreted. The result is a pluralist view about styles of reasoning that is sensitive to nuances of inferential relations in scientific activity. (shrink)

When read as a theory that is supposed to mirror, represent or fit some collection of historical data, critics argue that Kuhn’s theory of paradigm shift in Structure of Scientific Revolutions fails by cherry-picking and underdetermination. When read as the ground for a socio-epistemological conception of rationality, critics argue that Kuhn’s theory fails by either the naturalistic fallacy or underarticulation. This paper suggests that we need not view Structure as a historian’s attempt to accurately depict scientific theory change or a (...) philosopher’s attempt to suggest, more normatively, the factors we ought to consider in theory choice. Instead, we might use Kuhn’s theory as a metaphilosophical frame through which to better understand the limits of otherwise intractable philosophical debates. We can focus on Kuhn’s theory not as a proposition or model to confirm, but as something we might use as a tool for understanding. Philosophers have discussed the justice and care orientations in ethics as two theories for which there will be some common, constraining set of intuitions to confirm one theory over the other, to demonstrate that protecting rights is fundamentally more valuable that fulfilling needs or that fulfilling needs is fundamentally more valuable that protecting rights. Instead of conceptualizing this conversation as a choice between two theories, this paper looks to Ian Hacking’s interpretation of Kuhn’s paradigm concept to suggest that working in the world of justice is very different than working in the world of care, as each orientation is a paradigm with its own cognitive and contextual standards of theory assessment. To start, after Larry Laudan, each has its own ontology, methodology, aims and values. But moreover, after Ian Hacking, each has an even larger, entrenched collection of projectible predicates. Though Carol Gilligan herself uses the metaphor of gestalt shift in a few places to characterize the move from the justice to the care perspective, the insight—that what many assume to be a standard exercise in theory choice is really more of a paradigm shift—has been under theorized by ethicists and ignored by philosophers of science. This paper brings the full resources of Structure and its secondary literature to this metaethical issue, while making the larger point that Structure has an important pragmatic role to play, when it comes to the understanding philosophical debates, even if we cannot secure the truth of Kuhn’s theory. (shrink)

When read as a theory that is supposed to mirror, represent or fit some collection of historical data, critics argue that Kuhn’s theory of paradigm shift in Structure of Scientific Revolutions fails by cherry-picking and underdetermination. When read as the ground for a socio-epistemological conception of rationality, critics argue that Kuhn’s theory fails by either the naturalistic fallacy or underarticulation. This paper suggests that we need not view Structure as a historian’s attempt to accurately depict scientific theory change or a (...) philosopher’s attempt to suggest, more normatively, the factors we ought to consider in theory choice. Instead, we might use Kuhn’s theory as a metaphilosophical frame through which to better understand the limits of otherwise intractable philosophical debates. We can focus on Kuhn’s theory not as a proposition or model to confirm, but as something we might use as a tool for understanding. Philosophers have discussed the justice and care orientations in ethics as two theories for which there will be some common, constraining set of intuitions to confirm one theory over the other, to demonstrate that protecting rights is fundamentally more valuable that fulfilling needs or that fulfilling needs is fundamentally more valuable that protecting rights. Instead of conceptualizing this conversation as a choice between two theories, this paper looks to Ian Hacking’s interpretation of Kuhn’s paradigm concept to suggest that working in the world of justice is very different than working in the world of care, as each orientation is a paradigm with its own cognitive and contextual standards of theory assessment. To start, after Larry Laudan, each has its own ontology, methodology, aims and values. But moreover, after Ian Hacking, each has an even larger, entrenched collection of projectible predicates. Though Carol Gilligan herself uses the metaphor of gestalt shift in a few places to characterize the move from the justice to the care perspective, the insight—that what many assume to be a standard exercise in theory choice is really more of a paradigm shift—has been under theorized by ethicists and ignored by philosophers of science. This paper brings the full resources of Structure and its secondary literature to this metaethical issue, while making the larger point that Structure has an important pragmatic role to play, when it comes to the understanding philosophical debates, even if we cannot secure the truth of Kuhn’s theory. (shrink)

This article outlines a philosophy of science in practice that focuses on the engineering sciences. A methodological issue is that these practices seem to be divided by two different styles of scientific reasoning, namely, causal-mechanistic and mathematical reasoning. These styles are philosophically characterized by what Kuhn called ?disciplinary matrices?. Due to distinct metaphysical background pictures and/or distinct ideas of what counts as intelligible, they entail distinct ideas of the character of phenomena and what counts as a scientific explanation. It is (...) argued that the two styles cannot be reduced to each other. At the same time, although they are incompatible, they must not be regarded as competing. Instead, they produce different kinds of epistemic results, which serve different kinds of epistemic functions. Moreover, some scientific breakthroughs essentially result from relating them. This view of complementary styles of scientific reasoning is supported by pluralism about metaphysical background pictures. (shrink)

The purpose of this article is to develop an epistemology of scientific models in scientific research practices, and to show that disciplinary perspectives have crucial role in such an epistemology. A transcendental approach is taken, aimed at explanations of the kinds of questions relevant to the intended epistemology, such as “How is it possible that models provide knowledge about aspects of reality?” The approach is also pragmatic in the sense that the questions and explanations must be adequate and relevant to (...) concrete scientific practice. First it is explained why the idea of models as representations in terms of similarity or isomorphism between a model and its target is too limited as a basis for this epistemology. An important finding is that the target-phenomenon is usually not something that can be observed in a straightforward manner, but requires both characterization in terms of measurable variables and subsumption under concepts. The loss of this basis leads to a number of issues, such as: how can models be interpreted as representations if models also include conceptually meaningful linguistic content; how can researchers identify non-observable real-world target-phenomena that are then represented in the model; how do models enable inferential reasoning in performing epistemic tasks by researchers; and, how to justify scientific models. My proposal is to deal with these issues by analyzing how models are constructed, rather than by looking at ready-made models. Based on this analysis, I claim that the identification of phenomena and the construction of scientific models is guided and also confined by the disciplinary perspective within which researchers in a scientific discipline have learned to work. I propose a Kuhnian framework by which the disciplinary perspective can be systematically articulated. Finally, I argue that harmful forms of subjectivism, due to the loss of the belief that models objectively represent aspects of reality, can be overcome by making the disciplinary perspective in a research project explicit, thereby enabling its critical assessment, for which the proposed Kuhnian framework provides a tool. (shrink)

The complex societal challenges of the twenty-first Century require scientific researchers and academically educated professionals capable of conducting scientific research in complex problem contexts. Our central claim is that educational approaches inspired by a traditional empiricist epistemology insufficiently foster the required deep conceptual understanding and higher-order thinking skills necessary for epistemic tasks in scientific research. Conversely, we argue that constructivist epistemologies provide better guidance to educational approaches to promote research skills. We also argue that teachers adopting a constructivist learning theory (...) do not necessarily embrace a constructivist epistemology. On the contrary, in educational practice, novel educational approaches that adopt constructivist learning theories often maintain traditional empiricist epistemologies. Philosophers of science can help develop educational designs focused on learning to conduct scientific research, combining constructivist learning theory with constructivist epistemology. We illustrate this by an example from a bachelor’s program in Biomedical Engineering, where we introduce conceptual models and modeling as an alternative to the traditional focus on hypothesis testing in conducting scientific research. This educational approach includes the so-called B&K method for constructing scientific models to scaffold teaching and learning conceptual modeling. (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)

Deep neural networks have become increasingly successful in applications from biology to cosmology to social science. Trained DNNs, moreover, correspond to models that ideally allow the prediction of new phenomena. Building in part on the literature on ‘eXplainable AI’, I here argue that these models are instrumental in a sense that makes them non-explanatory, and that their automated generation is opaque in a unique way. This combination implies the possibility of an unprecedented gap between discovery and explanation: When unsupervised models (...) are successfully used in exploratory contexts, scientists face a whole new challenge in forming the concepts required for understanding underlying mechanisms. (shrink)

Although researchers in psychiatry have been trying for decades to elucidate the pathophysiology underlying mental disorders, relatively little progress has been made. One explanation for this failure is that diagnostic categories in psychiatry are unlikely to track underlying neurological mechanisms. Because of this, the US National Institutes of Mental Health has recently developed a novel ontology to guide research in biological psychiatry: the Research Domain Criteria. In this paper, I argue that while RDoC may lead to better neuroscientific explanations for (...) mental disorders, it is unlikely that this new knowledge will then lead to an improved diagnostic system. I therefore suggest that researchers in psychiatry should work toward the development of two new ontologies: one for research and one for clinical practice. (shrink)

This article aims at reducing the gap between mathematics and physics from a Wittgensteinian point of view. This gap is usually characterized by two discriminating features. The propositions of physics assert something which might be false; they have a hypothetical character. On the contrary, since mathematical propositions are rules that condition the form of assertions, they remain immune from falsification. The propositions of physics refer to facts that may confirm or refute them. On the contrary, since mathematical propositions have no (...) meaning independently of the demonstration procedures, it cannot be said that they refer to “facts” that pre-exist demonstrations. If we take a closer look, however, these two differences fade away. On the one hand, the propositions of physics are more resistant to experimental tests than has been said in the wake of logical positivism. On the other hand, the “factual” empirical material is defined and co-constituted by instruments whose arrangement is determined by the theory to be tested. I conclude by discussing the possibility of a Wittgensteinian philosophy of contemporary physics. (shrink)

The issue of the conservatism of scientific research questions the nature and the role of the internal and external forces controlling the emergence of new research questions or problems, the exploration of risky directions of research, or the use of risky research methods. This issue has recently gained a new framing in connection with the growing importance of the peer-review process and of the social and economic pressures weighing on the funding of scientific research. Current literature then interrogates the external (...) and internal features that promote what are described as conservative tendencies in scientific research. In this paper, I propose to contribute to this debate by clarifying what might be internal sources of conservatism in science; that is, that are inherent to the research process itself. I distinguish two possible understandings of the sources and manifestations of this internal conservatism. I first present a representational description of the nature and origin of conservatism in science, which brings to the fore the difficulties researchers find in setting aside their conceptual framework. I then offer for consideration a larger perspective on conservatism by arguing for the existence of a practical conservatism generated by all the dimensions of scientific activities. In this framework, conservatism in science can be explained by the tendency of all practices to close in on their own local objectives. I illustrate this view by reference to an historical episode: the discovery of the chemical nature of genes by Avery. (shrink)

What does it take for a scientific model to represent? Scientific models have received a great deal of attention in recent philosophical literature. Following Morgan and Morrison’s account of “Models as Mediators”, analysis of how models represent has changed from questioning what properties of models can be said to correlate with the world to asking how models are used to relate to an intended target-system. This turn to a practice-oriented approach of understanding models was a response to a general philosophical (...) problem that attends the empirical application of scientific representations such as models. This problem is twofold. Models, on the one hand, are often said to make false claims about the world.. (shrink)

The historical variation of scientific knowledge has lent itself to the development of historical epistemology, which attempts to historicize the origin and establishment of knowledge claims. The questions I address in this paper revolve around the historicity of the objects of those claims: How and why do new scientific objects appear? What exactly comes into being in such cases? Do scientific objects evolve over time and in what ways? I put forward and defend two theses: First, the ontology of science (...) is so rich and variegated that there are no universally valid answers to these questions. Second, we need a pluralist account of scientific objects, a pluralist metaphysics that can do justice to their rich diversity and their various modes of being and becoming. I then focus on hidden objects, which are supposed to be part of the permanent furniture of the universe, and I discuss their birth and historicity: They emerge when various phenomena coalesce as manifestations of a single hidden cause and their representations change over time. Finally, I examine the conditions under which an evolving representation may still refer to the same object and I illustrate my argument drawing upon the early history of electrons. (shrink)

There is a growing interest among scientists and the lay public alike in using the South American psychedelic brew, ayahuasca, to treat psychiatric disorders like depression and anxiety. Such a practice is controversial due to a style of reasoning within conventional psychiatry that sees psychedelic-induced modified states of consciousness as pathological. This article analyzes the academic literature on ayahuasca's psychological effects to determine how this style of reasoning is shaping formal scientific discourse on ayahuasca's therapeutic potential as a treatment for (...) depression and anxiety. Findings from these publications suggest that different kinds of experiments are differentially affected by this style of reasoning but can nonetheless indicate some potential therapeutic utility of the ayahuasca-induced modified state of consciousness. The article concludes by suggesting ways in which conventional psychiatry's dominant style of reasoning about psychedelic modified states of consciousness could be reconsidered. (shrink)

The use of multiple means of determination to “triangulate” on the existence and character of a common phenomenon, object, or result has had a long tradition in science but has seldom been a matter of primary focus. As with many traditions, it is traceable to Aristotle, who valued having multiple explanations of a phenomenon, and it may also be involved in his distinction between special objects of sense and common sensibles. It is implicit though not emphasized in the distinction between (...) primary and secondary qualities from Galileo onward. It is arguably one of several conceptions involved in Whewell’s method of the “consilience of inductions” (Laudan 1971) and is to be found in several places in Peirce. (From M. Brewer and B. Collins, eds., (1981); Scientific Inquiry in the Social Sciences (a festschrift for Donald T. Campbell), San Francisco: Jossey-Bass, pp. 123–162.). (shrink)

My aim in this paper is to propose a way to study the role of perspectives in both the production and justification of experimental knowledge claims. My starting point for this will be Anjan Chakravartty’s claim that Ronald Giere’s perspectival account of the role of instruments in the production of such claims entails relativism in the form of irreducibly incompatible truths. This led Michela Massimi to argue that perspectivism, insofar as it wants to form a realist position, is only concerned (...) with the justification of such claims: whether they are produced reliably is, on her view, a perspective-independent fact of the matter. Following a suggestion by Giere on how scientists handle incompatible experimental results, I will then argue that Massimi’s perspectivism can be extended to also cover the production of such claims, without falling into relativism. I will elaborate this suggestion by means of Uljana Feest’s work on how scientists handle incompatible experimental results. I will argue that, if we reconceptualize perspectives as embodied and situated ways of going about in experimentation that can be made explicit through interpretation, we can obtain a fruitful understanding of the role of perspectives in both the production and justification of experimental knowledge. While this role is primarily exploratory, it can still allow for a substantial form of realism. (shrink)

Seit Beginn der frühen Neuzeit ist das naturwissenschaftliche Verfahren maßgeblich durch ein neues Konzept geprägt: das Konzept des experimentellen, gestalterischen Eingriffs in die Natur. Es geht nun nicht mehr darum, eine Geschichte der "freien und ungebundenen Natur" (Bacon) zu erzählen, die in ihrem eigenen Lauf belassen und als vollkommene Bildung betrachtet wird. Es geht vielmehr darum, der "gebundenen und bezwungenen Natur" (Bacon) vermittels der experimentellen Tätigkeit des Menschen die Geheimnisse zu entreißen. Diese technisch-praktische Konzeption grenzt sich explizit von den klassischen (...) kontemplativen Wissenschaftsvorstellungen der Antike ab. Wie es Kant paradigmatisch in Bezug auf Bacon formuliert hat, ist diese "Revolution der Denkart" maßgeblich durch ein gewandeltes Verständnis des Verhältnisses des Menschen zur Natur geprägt. Der Mensch als Experimentator hat für Kant nicht mehr die "Qualität eines Schülers", der sich passiv von der Natur belehren läßt und an ihrem "Leitbande" (Kant) gegängelt wird. Seine neu gewonnene Autorität verleiht ihm vielmehr den Status eines Richters, der nun die Natur nötigen kann, auf gestellte Fragen zu antworten. Die Laborforschung der modernen Naturwissenschaft ist von den Formen der alten Naturwissenschaft so weit entfernt, daß sie den Vorwurf auf sich zog, sie untersuche Artekakte, aber nicht Natur. Die grundlegenden Theorien über Natur können in der Regel nur unter den künstlichen Bedingungen des Labors aufgestellt werden. Daraus darf aber nicht geschlossen werden, die anhand von Laborphänomenen aufgestellten und getesteten Theorien handelten nicht von der Natur außerhalb der Labore. Aber ihrer exakten und detaillierten Anwendung auf Prozesse außerhalb der Labore stehen eine Fülle von Schwierigkeiten entgegen. Insofern markiert das Labor sehr wohl eine Grenze exakter Naturforschung, die für den Umgang der wissenschaftlich-technischen Zivilisation mit der Natur wichtige Konsequenzen hat. Inhalt: Kristian Köchy / Gregor Schiemann: Natur im Labor Lothar Schäfer: Die Erscheinung der Natur unter Laborbedingungen Holm Tetens: Das Labor als Grenze der exakten Naturforschung Christoph Rehmann-Sutter: Genes in Labs - Concepts of Development and the Standard Environment Kristian Köchy: Lebewesen im Labor. Das Experiment in der Biologie Jutta Weber: Mannigfaltige Techno-Naturen. Von epistemischen Modellsystemen und situierten Maschinen Thomas Sören Hoffmann: Gezeigte versus sich zeigende Natur. Eine Skizze im Blick auf das Verhältnis von Labor und Natur Klaus Michael Meyer-Abich: Laborforschung im Erkenntnishandeln der Experimentiergesellschaft. Eine holistisch-pragmatische Perspektive für die Wissenschaftstheorie. (shrink)

In this chapter I investigate the kinds of changes that psychiatric kinds undergo when they become explanatory targets of areas of sciences that are not “mature” and are in the early stages of discovering mechanisms. The two areas of science that are the targets of my analysis are cognitive neuroscience and cognitive neurobiology.

Descriptive accounts of the nature of explanation in neuroscience and the global goals of such explanation have recently proliferated in the philosophy of neuroscience and with them new understandings of the experimental practices of neuroscientists have emerged. In this paper, I consider two models of such practices; one that takes them to be reductive; another that takes them to be integrative. I investigate those areas of the neuroscience of learning and memory from which the examples used to substantiate these models (...) are culled, and argue that the multiplicity of experimental protocols used in these research areas presents specific challenges for both models. In my view, these challenges have been overlooked largely because philosophers have hitherto failed to pay sufficient attention to fundamental features of experimental practice. I demonstrate that when we do pay attention to such features, evidence for reduction and integrative unity in neuroscience is simply not borne out. I end by suggesting some new directions for the philosophy of neuroscience that pertain to taking a closer look at the nature of neuroscientific experiments. (shrink)

This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in (...) making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research. (shrink)

This book addresses key conceptual issues relating to the modern scientific and engineering use of computer simulations. It analyses a broad set of questions, from the nature of computer simulations to their epistemological power, including the many scientific, social and ethics implications of using computer simulations. The book is written in an easily accessible narrative, one that weaves together philosophical questions and scientific technicalities. It will thus appeal equally to all academic scientists, engineers, and researchers in industry interested in questions (...) related to the general practice of computer simulations. (shrink)

This editorial offers new ways to ethically practice, evaluate, and use quantitative research. Our central claim is that ready-made formulas for QR, including ‘best practices’ and common notions of ‘validity’ or ‘objectivity,’ are often divorced from the ethical and practical implications of doing, evaluating, and using QR for specific purposes. To focus on these implications, we critique common theoretical foundations for QR and then recommend approaches to QR that are ‘built for purpose,’ by which we mean designed to ethically address (...) specific problems or situations on terms that are contextually relevant. For this, we propose a new tool for evaluating the quality of QR, which we call ‘relational validity.’ Studies, including their methods and results, are relationally valid when they ethically connect researchers’ purposes with the way that QR is oriented and the ways that it is done—including the concepts and units of analysis invoked, as well as what its ‘methods’ imply more generally. This new way of doing QR can provide the liberty required to address serious worldly problems on terms that are both practical and ethically informed in relation to the problems themselves rather than the confines of existing QR logics and practices. (shrink)

Researchers misunderstand their role in creating ethical problems when they allow dogmas to purportedly divorce scientists and scientific practices from the values that they embody. Cortina, Edwards, and Powell help us clarify and further develop our position by responding to our critique of, and alternatives to, this misleading separation. In this rebuttal, we explore how the desire to achieve the separation of facts and values is unscientific on the very terms endorsed by its advocates—this separation is refuted by empirical observation. (...) We show that positivists like Cortina and Edwards offer no rigorous theoretical or empirical justifications to substantiate their claims, let alone critique ours. Following Powell, we point to how classical pragmatism understands ‘purpose’ in scientific pursuits while also providing an alternative to the dogmas of positivism and related philosophical positions. In place of dogmatic, unscientific cries about an abstract and therefore always-unobservable ‘reality,’ we invite all organizational scholars to join us in shifting the discussion about quantitative research towards empirically grounded scientific inquiry. This makes the ethics of actual people and their practices central to quantitative research, including the thoughts, discourses, and behaviors of researchers who are always in particular places doing particular things. We propose that quantitative researchers can thus start to think about their research practices as a kind of work, rather than having the status of a kind of dogma. We conclude with some implications that this has for future research and education, including the relevance of research and research methods. (shrink)

Quantitative researchers often discuss research ethics as if specific ethical problems can be reduced to abstract normative logics (e.g., virtue ethics, utilitarianism, deontology). Such approaches overlook how values are embedded in every aspect of quantitative methods, including ‘observations,’ ‘facts,’ and notions of ‘objectivity.’ We describe how quantitative research practices, concepts, discourses, and their objects/subjects of study have always been value-laden, from the invention of statistics and probability in the 1600s to their subsequent adoption as a logic made to appear as (...) if it exists prior to, and separate from, ethics and values. This logic, which was embraced in the Academy of Management from the 1960s, casts management researchers as ethical agents who ought to know about a reality conceptualized as naturally existing in the image of statistics and probability (replete with ‘constructs’), while overlooking that S&P logic and practices, which researchers made for themselves, have an appreciable role in making the world appear this way. We introduce a different way to conceptualize reality and ethics, wherein the process of scientific inquiry itself requires an examination of its own practices and commitments. Instead of resorting to decontextualized notions of ‘rigor’ and its ‘best practices,’ quantitative researchers can adopt more purposeful ways to reason about the ethics and relevance of their methods and their science. We end by considering implications for addressing ‘post truth’ and ‘alternative facts’ problems as collective concerns, wherein it is actually the pluralistic nature of description that makes defending a collectively valuable version of reality so important and urgent. (shrink)

As a working hypothesis for philosophy of science, the unity of science thesis has been decisively challenged in all its standard formulations; it cannot be assumed that the sciences presuppose an orderly world, that they are united by the goal of systematically describing and explaining this order, or that they rely on distinctively scientific methodologies which, properly applied, produce domain-specific results that converge on a single coherent and comprehensive system of knowledge. I first delineate the scope of arguments against global (...) unity theses. However implausible old-style global unity theses may now seem, I argue that unifying strategies of a more local and contingent nature do play an important role in scientific inquiry. This is particularly clear in archaeology where, to establish evidential claims of any kind, practitioners must exploit a range of inter-field and inter-theory connections. At the same time, the robustness of these evidential claims depends on significant disunity between the sciences from which archaeologists draw background assumptions and auxiliary hypotheses. This juxtaposition of unity with disunity poses a challenge to standard positions in the debate about scientific unity. (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)

The problem of hunger is a problem of the inequitable distribution of food entitlements. I argue that 'modern' science is implicated in the current form of this problem and that it can only contribute to its resolution, rather than exacerbation, if the forms of its implication are acknowledged. But this requires acceptance of the claim that science is not value-neutral. In part this paper is also an examination, in a particular problem context, of some dimensions of disputes over the value (...) neutrality of science. (shrink)

In this article I argue that often propositional knowledge is acquired and retained by extensive reliance on physical and social scaffolds that create an environment or niche conducive to knowledge. It is incumbent on epistemologists to subject these aids to epistemic assessments. I show that several of the activities involved in the creation of niches within which inquiry can thrive are carried out by whole cultures. New generations benefit from inheriting these niches whilst being able to improve upon them to (...) the advantage of their descendants. Finally, I highlight that the growth of human epistemic achievements is often due to increased outsourcing of cognitive effort and epistemic powers onto impersonal physical and social structures so that human beings can succeed more by contributing less to the solution of problems. (shrink)

This paper examines moral issues concerning a firm''s use of genetic information about a prospective employee''s predisposition to contract occupational and other illnesses. It critically reviews leading social construction literature on genetic abnormality and genetic screening, and it examines the relevance of arguments from justice and meritocratic principles. It concludes that there is a strong moral presumption against genetic screening in employment.

In vitro experimental approaches are of central importance to contemporary molecular and cellular biology and toxicology. However, the scientific value or impact of in vitro results depends on their relevance in vivo. In vitro effect studies address inobservable in vivo phenomena through experiments on analogous in vitro phenomena. We present a theoretical basis developed to evaluate the in vivo relevance of in vitro effect studies. As a case study, the procedure for measuring specific gene transcription in isolated cell nuclei (nuclear (...) run-off method) is analyzed It is concluded that current evidence fails to justify in vivo interpretations of nuclear run-off experiments within the framework of theoretical models of transcription, implying that quantitative in vivo interpretations are unwarranted. Qualitative interpretations of nuclear run-off experiments may be justified by inferring the best explanation, especially when significant in vitro effects follow in vivo perturbations.Elements of a general theory are proposed. It is concluded that quantitative in vivo interpretations are warranted primarily in biochemical quantitation of biomolecules, while studies on biological function should be interpreted qualitatively in terms of causal explanations. Inferences to the best explanations are strengthened through additional evidence and the creation of experimental differences (effects). (shrink)

: The increasing attention on experiment in the last two decades has led to important insights into its material, cultural and social dimensions. However, the role of experiment as a tool for generating knowledge has been comparatively poorly studied. What questions are asked in experimental research? How are they treated and eventually resolved? And how do questions, epistemic situations, and experimental activity cohere and shape each other? In my paper, I treat these problems on the basis of detailed studies of (...) research practice. After presenting several cases from the history of electricity—Dufay, Ampère, and Faraday—I discuss a specific type of experiment—the "exploratory experiment"—and analyze how it works in concept formation. I argue that a fuller understanding of experiment can only be achieved by intertwining historical and philosophical perspectives in such a way that the very separation of the two become questioable. (shrink)