Naturalism in the philosophy of science has proceeded differently than the familiar forms of meta-philosophical naturalism in other sub-fields, taking its cues from “science as we know it” (Cartwright in The Dappled World, Oxford University Press, Oxford, 1999, p. 1) rather than from a philosophical conception of “the Scientific Image.” Its primary focus is scientific practice, and its philosophical analyses are complementary and accountable to empirical studies of scientific work. I argue that naturalistic philosophy of science is nevertheless criterial for (...) other versions of meta-philosophical naturalism; relying on a conflicting conception of scientific understanding would constitute a “first philosophy” imposed on the sciences. Moreover, naturalistic philosophy of science provides the basis for a “radically” naturalistic alternative to the familiar forms of orthodox or liberal naturalism. Goodman, Sellars and Hempel had previously challenged empiricist scruples against causal connections or nomological necessity by arguing that scientific concepts already had modal import. The radical naturalism I defend similarly challenges meta-philosophical naturalists’ conception of the Scientific Image as anormative, and instead shows how the normativity of scientific understanding in practice is a scientifically intelligible natural phenomenon. This account then provides a basis for naturalistic reflection on how other practices and normative concerns fit together with the best scientific understanding of human ways of life. (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)

CAMILO, Bruno. Aspectos metafísicos na física de Newton: Deus. In: DUTRA, Luiz Henrique de Araújo; LUZ, Alexandre Meyer (org.). Temas de filosofia do conhecimento. Florianópolis: NEL/UFSC, 2011. p. 186-201. (Coleção rumos da epistemologia; 11). Através da análise do pensamento de Isaac Newton (1642-1727) encontramos os postulados metafísicos que fundamentam a sua mecânica natural. Ao deduzir causa de efeito, ele acreditava chegar a uma causa primeira de todas as coisas. A essa primeira causa de tudo, onde toda a ordem e leis (...) tiveram início, a qual para ele assume um caráter divino, Newton aponta para um Deus sábio e poderoso e responsável pela ordem inteligente e pela a harmonia das leis físicas e universais de tudo o que existe – Deus como criador e preservador da ordem do universo. Há ainda a analogia do conceito de Deus com o espaço e o tempo, na medida em que ambos comunicam infinitude e onipresença. Por fim, nas considerações finais apontarei a importância de Newton para a metafísica moderna e como os seus estudos contribuíram para uma visão posterior do universo e suas leis e do homem enquanto ser pensante. (shrink)

Ian Hacking’s Representing and Intervening is often credited as being one of the first works to focus on the role of experimentation in philosophy of science, catalyzing a movement which is sometimes called the “philosophy of experiment” or “new experimentalism”. In the 1980s, a number of other movements and scholars also began focusing on the role of experimentation and instruments in science. Philosophical study of experimentation has thus seemed to be an invention of the 1980s whose central figure is Hacking. (...) This article aims to assess this historical claim, made by Hacking himself as well as others. It does so first by highlighting how a broader perspective on the history of philosophy reveals this invention narrative to be incorrect, since experimentation was a topic of interest for earlier philosophers. Secondly, the article evaluates a revision of this historical claim also made by some philosophers of experiment: the rediscovery narrative, which frames Hacking and others as having rediscovered the work of these earlier authors. This second narratives faces problems as well. Therefore we develop a third narrative which we call the contextualist narrative. Rather than considering experimentation in an essentialist manner as a fixed research object that is either present or not in the work of specific authors, experimentation should be addressed through a narrative that asks in what way it becomes a philosophical problem for certain authors and for what purpose. Such contextualization enables a repositioning of Hacking’s philosophy of experiment in relation to the specific debates in which he intervened, such as the realism-antirealism debate, the Science Wars and the debate on incommensurability. (shrink)

Ian Hacking instigated a revolution in 20th century philosophy of science by putting experiments (“interventions”) at the top of a philosophical agenda that historically had focused nearly exclusively on representations (“theories”). In this paper, I focus on a set of conceptual tools Hacking (1992) put forward to understand how laboratory sciences become stable and to explain what such stability meant for the prospects of unity of science and kind discovery in experimental science. I first use Hacking’s tools to understand sources (...) of instability and disunity in rodent behavioral neuroscience. I then use them to understand recent grass-roots collaborative open science initiatives aimed at establishing stability in this research area and tease out some implications for unity of science and kind creation and discovery in cognitive neuroscience. -/- . (shrink)

Scientists represent their world, grouping and organizing phenomena into classes by means of concepts. Philosophers of science have historically been interested in the nature of these concepts, the criteria that inform their application and the nature of the kinds that the concepts individuate. They also have sought to understand whether and how different systems of classification are related and more recently, how investigative practices shape conceptual development and change. Our aim in this paper is to provide a critical overview of (...) some of the key developments in this philosophical literature and identify some interesting issues it raises about the prospects of the so-called “special sciences”, including psychiatry, psychology, and the mind-brain sciences more generally, to discover natural kinds. (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)

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)

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)

Ian Hacking defines a “style of scientific thinking” loosely as a “way to find things out about the world” characterised by five hallmark features of a number of scientific template styles. Most prominently, these are autonomy and “self-authentication”: a scientific style of thinking, according to Hacking, is not good because it helps us find out the truth in some domain, it itself defines the criteria for truth-telling in its domain. I argue that Renaissance medicine, Mediaeval “demonology”, and magical thinking pass (...) muster as scientific according to Hacking's criteria. However, application of these thought styles to the entities they introduce generates statements that logically imply a set of “ordinary” statements—or what Bernard Williams calls “plain truths”—which, contra the claims of autonomy and self-authentication, allows styles to be assessed from a style- independent perspective. Using Williams’ notion of plain truth, I show that Renaissance medicine, demonology, and magical thinking, in reality issue in many plain falsehoods. This confronts us with what I call Hacking's dilemma: either define stricter necessary conditions on being a style of scientific thinking, or concede that some styles albeit scientific are not as good at finding things out about the world as others. I make three suggestions to deal with the dilemma. (shrink)

The premise of biological modularity is an ontological claim that appears to come out of practice. We understand that the biological world is modular because we can manipulate different parts of organisms in ways that would only work if there were discrete parts that were interchangeable. This is the foundation of the BioBrick assembly method widely used in synthetic biology. It is one of a number of methods that allows practitioners to construct and reconstruct biological pathways and devices using DNA (...) libraries of standardized parts with known functions. In this paper, we investigate how the practice of synthetic biology reconfigures biological understanding of the key concepts of modularity and evolvability. We illustrate how this practice approach takes engineering knowledge and uses it to try to understand biological organization by showing how the construction of functional parts and processes can be used in synthetic experimental evolution. We introduce a new approach within synthetic biology that uses the premise of a parts-based ontology together with that of organismal self-organization to optimize orthogonal metabolic pathways in E. coli. We then use this and other examples to help characterize semisynthetic categories of modularity, parthood, and evolvability within the discipline. (shrink)

The question as to whether Ian Hacking’s project of scientific styles of thinking entails epistemic relativism has received considerable attention. However, scholars have never discussed it vis-à-vis Wittgenstein. This is unfortunate: not only is Wittgenstein the philosopher who, together with Foucault, has influenced Hacking the most, but he has also faced the same accusation of ‘relativism’. I shall explore the conceptual similarities and differences between Hacking’s notion of style of thinking and Wittgenstein’s conception of form of life. It is a (...) fact that whether or not the latter entails epistemic relativism is still a controversial question. From my comparative analysis, it will emerge that there are stronger reasons to conclude that Hacking’s notion of style leads to epistemic relativism than there are to reach the same conclusion in the case of Wittgenstein’s conception of form of life. This point will be at odds with the anti-relativistic stance that Hacking has taken in his more recent writings. (shrink)

Observation and experiment as categories for analysing scientific practice have a long pedigree in writings on science. There has, however, been little attempt to delineate observation and experiment with respect to analysing scientific practice; in particular, scientific experimentation, in a systematic manner. Someone who has presented a systematic account of observation and experiment as categories for analysing scientific experimentation is Ian Hacking. In this paper, I present a detailed analysis of Hacking’s observation versus experiment account. Using a range of cases (...) from various fields of scientific enquiry, I argue that the observation versus experiment account is not an adequate framework for delineating scientific experimentation in a systematic manner. (shrink)

This paper proposes an account of scientific data that makes sense of recent debates on data-driven and ‘big data’ research, while also building on the history of data production and use particularly within biology. In this view, ‘data’ is a relational category applied to research outputs that are taken, at specific moments of inquiry, to provide evidence for knowledge claims of interest to the researchers involved. They do not have truth-value in and of themselves, nor can they be seen as (...) straightforward representations of given phenomena. Rather, they are fungible objects defined by their portability and prospective usefulness as evidence. (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)

Scientific knowledge production is currently affected by the dissemination of data on an unprecedented scale. Technologies for the automated production and sharing of vast amounts of data have changed the way in which data are handled and interpreted in several scientific domains, most notably molecular biology and biomedicine. In these fields, the activity of data gathering has become increasingly technology-driven, with machines such as next generation genome sequencers and mass spectrometers generating billions of data points within hours, and with little (...) need for human supervision. Given the relative ease and low costs with which datasets can be produced (that is, once a laboratory has been able to afford .. (shrink)

This paper discusses what it means and what it takes to integrate data in order to acquire new knowledge about biological entities and processes. Maureen O’Malley and Orkun Soyer have pointed to the scientific work involved in data integration as important and distinct from the work required by other forms of integration, such as methodological and explanatory integration, which have been more successful in captivating the attention of philosophers of science. Here I explore what data integration involves in more detail (...) and with a focus on the role of data-sharing tools, like online databases, in facilitating this process; and I point to the philosophical implications of focusing on data as a unit of analysis. I then analyse three cases of data integration in the field of plant science, each of which highlights a different mode of integration: inter-level integration, which involves data documenting different features of the same species, aims to acquire an interdisciplinary understanding of organisms as complex wholes and is exemplified by research on Arabidopsis thaliana; cross-species integration, which involves data acquired on different species, aims to understand plant biology in all its different manifestations and is exemplified by research on Miscanthus giganteus; and translational integration, which involves data acquired from sources within as well as outside academia, aims at the provision of interventions to improve human health and is exemplified by research on Phytophtora ramorum. Recognising the differences between these efforts sheds light on the dynamics and diverse outcomes of data dissemination and integrative research; and the relations between the social and institutional roles of science, the development of data-sharing infrastructures and the production of scientific knowledge. (shrink)

In this volume, leading philosophers of psychiatry examine psychiatric classification systems, including the Diagnostic and Statistical Manual of Mental Disorders, asking whether current systems are sufficient for effective diagnosis, treatment, and research. Doing so, they take up the question of whether mental disorders are natural kinds, grounded in something in the outside world. Psychiatric categories based on natural kinds should group phenomena in such a way that they are subject to the same type of causal explanations and respond similarly to (...) the same type of causal interventions. When these categories do not evince such groupings, there is reason to revise existing classifications. The contributors all question current psychiatric classifications systems and the assumptions on which they are based. They differ, however, as to why and to what extent the categories are inadequate and how to address the problem. Topics discussed include taxometric methods for identifying natural kinds, the error and bias inherent in DSM categories, and the complexities involved in classifying such specific mental disorders as "oppositional defiance disorder" and pathological gambling. -/- Contributors George Graham, Nick Haslam, Allan Horwitz, Harold Kincaid, Dominic Murphy, Jeffrey Poland, Nancy Nyquist Potter, Don Ross, Dan Stein, Jacqueline Sullivan, Serife Tekin, Peter Zachar. (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)

Author: Krasiński Andrzej Title: IAN HACKING’S THE CONCEPT OF LABORATORY SCIENCE (Nauki laboratoryjne w ujęciu Iana Hackinga) Source: Filo-Sofija year: 2011, vol:.12, number: 2011/1, pages: 385-396 Keywords: LABORATORY SCIENCE, NEW EXPERIMENTALISM, PHILOSOPHY OF EXPERIMENT, STABILITY OF SCIENCE Discipline: PHILOSOPHY Language: POLISH Document type: ARTICLE Publication order reference (Primary author’s office address): E-mail: www:In this text I focus attention on the concept of laboratory science created by Ian Hacking, According to Hacking’s theory, not all scientific experiments are laboratory experiments. Laboratory science (...) created phenomena that seldom or never occur in a pure state in nature. In the second part of the text I analyze Hacking’s division of elements of laboratory science. There are three groups of elements: intellectual components, material things and results of experiment, in short: ideas, things and marks. The elements of laboratory in Hacking’s theory are used directly in the course of the experiment. Laboratory sciences are stable. Each element can be modified in order to match to each other. The stability of laboratory science is result of fact that theory and the laboratory equipment evolve in that way, that they match each other and mutually self-vindicating. (shrink)

Alexander Bird argues for an epistemic account of scientific progress, whereas Darrell Rowbottom argues for a semantic account. Both appeal to intuitions about hypothetical cases in support of their accounts. Since the methodological significance of such appeals to intuition is unclear, I think that a new approach might be fruitful at this stage in the debate. So I propose to abandon appeals to intuition and look at scientific practice instead. I discuss two cases that illustrate the way in which scientists (...) make judgments about progress. As far as scientists are concerned, progress is made when scientific discoveries contribute to the increase of scientific knowledge of the following sorts: empirical, theoretical, practical, and methodological. I then propose to articulate an account of progress that does justice to this broad conception of progress employed by scientists. I discuss one way of doing so, namely, by expanding our notion of scientific knowledge to include both know-that and know-how. (shrink)

In this paper I discuss the bearing of Hacking’s ideas about Scientific Styles on traditional debates in the philosophy of science concerning rationality and realism. I argue that a kind of deflationary position with regard to realism debates is a natural consequence of Hacking’s claim that styles are self-authenticating. I then go on to argue, using an example of van Fraassen’s, that Hacking should allow a methodological role for realism debates and hence they are not idle, as he has claimed, (...) although their resolution may not be important. (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)

The paper begins with a detailed reconstruction of the development of Ian Hacking’s theory of scientific ‘styles of reasoning’, paying particular attention to Alistair Crombie’s influence, and suggesting that Hacking’s theory deserves to come under the title ‘historical epistemology’. Subsequently, the paper seeks to establish three critical theses. First, Hacking’s reliance on Crombie leads him to adopt an outdated historiographical position; second, Hacking is unsuccessful in his attempt to distance historical epistemology from epistemic relativism; and third, Hacking has not offered (...) convincing criteria for individuating styles of reasoning. Keywords: Styles of reasoning; Historical epistemology; Ian Hacking; Alistair Crombie; Relativism; Sociology of scientific knowledge. (shrink)

Concentrating on genetics, this paper examines the strength of the links between our biological science -- our biology -- and the particular history which brought that science into being. Would quite different histories have produced roughly the same science? Or, on the contrary, would different histories have produced other, quite different biologies? One emphasis throughout is on the kinds of evidence that might be brought to bear from the actual past in order to assess claims about what might have been. (...) Another emphasis is on the implications for debates on realism and antirealism about genes. (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)

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

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)

Philosophers of experiment have acknowledged that experiments are often more than mere hypothesis-tests, once thought to be an experiment's exclusive calling. Drawing on examples from contemporary biology, I make an additional amendment to our understanding of experiment by examining the way that `wide' instrumentation can, for reasons of efficiency, lead scientists away from traditional hypothesis-directed methods of experimentation and towards exploratory methods.

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)

Experimental “localism” stresses the importance of context‐specific knowledge, and the limitations of universal theories in science. I illustrate Latour's radical approach to localism and show that it has some unpalatable consequences, in particular the suggestion that problems of external validity (or how to generalize experimental results to nonlaboratory circumstances) cannot be solved. In the last part of the paper I try to sketch a solution to the problem of external validity by extending Mayo's error‐probabilistic approach.

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)

When radiocarbon dating techniques were applied to archaeological material in the 1950s they were hailed as a revolution. At last archaeologists could construct absolute chronologies anchored in temporal data backed by immutable laws of physics. This would make it possible to mobilize archaeological data across regions and time-periods on a global scale, rendering obsolete the local and relative chronologies on which archaeologists had long relied. As profound as the impact of 14C dating has been, it has had a long and (...) tortuous history now described as proceeding through three revolutions, each of which addresses distinct challenges of capturing, processing and packaging radiogenic data for use in resolving chronological puzzles with which archaeologists has long wrestled. In practice, mobilizing radiogenic data for archaeological use is a hard-won achievement; it involves multiple transformations that, at each step of the way, depend upon a diverse array of technical expertise and background knowledge. I focus on strategies of triangulation and traceability that establish the integrity of these data and their relevance as anchors for evidential reasoning in archaeology. (shrink)

Within science and technology studies, few approaches have generated more contention—or more misunderstanding—than the "actor-network" analyses of Callon, Latour, and Law. Although many have taken critical issue with this approach, few studies have engaged the strengths and weaknesses of actor-network theory on its own terms. This article presents two arguments that constitute a critical engagement across actor-network terrain. First, the author suggests that the confusion surrounding actor-network accounts lies partially in the ambiguous role played by "social context" and argues for (...) the political and explanatory importance of resketching the boundaries between the laboratory and society. Second, the author argues that a semiotic perspective is not necessarily an exclusive one and that different ways of telling stories about technoscientific practice can be combined usefully. These arguments are illustrated with a mostly Latourian account of the development of the STR Mark-I, the world's first "fully engineered" nuclear reactor. (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)

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)

Philosophical investigation in synthetic biology has focused on the knowledge-seeking questions pursued, the kind of engineering techniques used, and on the ethical impact of the products produced. However, little work has been done to investigate the processes by which these epistemological, metaphysical, and ethical forms of inquiry arise in the course of synthetic biology research. An attempt at this work relying on a particular area of synthetic biology will be the aim of this chapter. I focus on the reengineering of (...) metabolic pathways through the manipulation and construction of small DNA-based devices and systems synthetic biology. Rather than focusing on the engineered products or ethical principles that result, I will investigate the processes by which these arise. As such, the attention will be directed to the activities of practitioners, their manipulation of tools, and the use they make of techniques to construct new metabolic devices. Using a science-in-practice approach, I investigate problems at the intersection of science, philosophy of science, and sociology of science. I consider how practitioners within this area of synthetic biology reconfigure biological understanding and ethical categories through active modelling and manipulation of known functional parts, biological pathways for use in the design of microbial machines to solve problems in medicine, technology, and the environment. We might describe this kind of problem-solving as relying on what Helen Longino referred to as “social cognition” or the type of scientific work done within what Hasok Chang calls “systems of practice”. My aim in this chapter will be to investigate the relationship that holds between systems of practice within metabolic engineering research and social cognition. I will attempt to show how knowledge and normative valuation are generated from this particular network of practitioners. In doing so, I suggest that the social nature of scientific inquiry is ineliminable to both knowledge acquisition and ethical evaluations. (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)

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)

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)

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.

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)

This paper tries to motivate three desiderata for historical epistemologies: (a) that they should be reflective about the pedigree of their conceptual apparatus; (b) that they must face up to the potentially relativistic consequences of their historicism; and (c) that they must not forget the hard-won lessons of microhistory (i.e. historical events must be explained causally; historical events must not be artificially divided into internal/intellectual and external/social “factors” or “levels”; and constructed series of homogenous events must not be treated as (...) quasi-organisms). Ian Hacking’s work on styles of reasoning and Lorraine Daston’s and Peter Galison’s investigation into epistemic virtues are used to identify the costs of neglecting these desiderata. (shrink)