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  1. Inquiry and Evidence: From the Experimenter's Regress to Evidence-Based Policy.Matthew J. Brown - manuscript
    In the first part of this paper, I will sketch the main features of traditional models of evidence, indicating idealizations in such models that I regard as doing more harm than good. I will then proceed to elaborate on an alternative model of evidence that is functionalist, complex, dynamic, and contextual, which I will call DYNAMIC EVIDENTIAL FUNCTIONALISM. I will demonstrate its application to an illuminating example of scientific inquiry, and defend it from some likely objections. In the second part, (...)
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  2. Types of Experiments and Causal Process Tracing: What Happened on the Kaibab Plateau in the 1920s?Roberta L. Millstein - manuscript
    I argue that Binkley et al. use causal process tracing in conjunction with a natural trajectory experiment and two natural snapshot experiments in their re-examination of the Kaibab. This shows that Aldo Leopold may have been right about trophic cascade in the Kaibab in the 1920s, i.e., that there are good reasons to think that a loss of predators led to a deer irruption which decreased aspen recruitment. Using the different cause-finding practices in combination can strengthen causal inferences and mitigate (...)
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  3. Is Simulation a Substitute for Experimentation?Isabelle Peschard - manuscript
    It is sometimes said that simulation can serve as epistemic substitute for experimentation. Such a claim might be suggested by the fast-spreading use of computer simulation to investigate phenomena not accessible to experimentation (in astrophysics, ecology, economics, climatology, etc.). But what does that mean? The paper starts with a clarification of the terms of the issue and then focuses on two powerful arguments for the view that simulation and experimentation are ‘epistemically on a par’. One is based on the claim (...)
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  4. Review of Franklin *What Makes a Good Experiment?*. [REVIEW] Adam_Morton - forthcoming - Metascience 102.
    I praise Franklin's full descriptions of important and exemplary experiments, and wish that he had said more about why they are exemplary.
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  5. Gedachte-Experiment Over Toekomstig Onderwijs.I. Bij - forthcoming - Idee.
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  6. Why Trust a Simulation? Models, Parameters, and Robustness in Simulation-Infected Experiments.Florian J. Boge - forthcoming - British Journal for the Philosophy of Science.
    Computer simulations are nowadays often directly involved in the generation of experimental results. Given this dependency of experiments on computer simulations, that of simulations on models, and that of the models on free parameters, how do researchers establish trust in their experimental results? Using high-energy physics (HEP) as a case study, I will identify three different types of robustness that I call conceptual, methodological, and parametric robustness, and show how they can sanction this trust. However, as I will also show, (...)
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  7. The Placebo Effect.Jennifer Corns - forthcoming - In The Philosophy of Pain. Routledge.
    Despite the conceptual problems in identifying the placebo effect, an increasing number of multidisciplinary inquiries rest on the assumption that there is a distinct class of effects, placebo effects. In this chapter, I argue against this assumption. I present cases and characterizations of the placebo effect as offered in the literature, and argue that the latter are subject to insurmountable problems. Moreover, I argue that identification of placebo effects as such is not useful for the three main purposes offered in (...)
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  8. Beyond Experiments.Ed Diener, Robert Northcott, Michael Zyphur & Steven West - forthcoming - Perspectives on Pyschological Science.
    It is often claimed that only experiments can support strong causal inferences and therefore they should be privileged in the behavioral sciences. We disagree. Overvaluing experiments results in their overuse both by researchers and decision-makers, and in an underappreciation of their shortcomings. Neglecting other methods often follows. Experiments can suggest whether X causes Y in a specific experimental setting; however, they often fail to elucidate either the mechanisms responsible for an effect, or the strength of an effect in everyday natural (...)
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  9. Essence, Experiment, and Under-Determination in the Spinoza-Boyle Correspondence.Stephen Harrop - forthcoming - Hopos: The Journal of the International Society for the History of Philosophy of Science.
    I examine the (mediated) correspondence between Spinoza and Robert Boyle concerning the latter’s account of fluidity and his experiments on reconstitution of niter in the light of the epistemology and doctrine of method contained in the Treatise on the Emendation of the Intellect. I argue that both the Treatise and the correspondence reveal that for Spinoza, the proper method of science is not experimental, and that he accepted a powerful under-determination thesis. I argue that, in contrast to modern versions, Spinoza’s (...)
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  10. How Interventionist Accounts of Causation Work in Experimental Practice and Why There is No Need to Worry About Supervenience.Tudor M. Baetu - 2021 - Synthese 199 (1-2):4601-4620.
    It has been argued that supervenience generates unavoidable confounding problems for interventionist accounts of causation, to the point that we must choose between interventionism and supervenience. According to one solution, the dilemma can be defused by excluding non-causal determinants of an outcome as potential confounders. I argue that this solution undermines the methodological validity of causal tests. Moreover, we don’t have to choose between interventionism and supervenience in the first place. Some confounding problems are effectively circumvented by experimental designs routinely (...)
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  11. Causal Inference From Noise.Nevin Climenhaga, Lane DesAutels & Grant Ramsey - 2021 - Noûs 55 (1):152-170.
    "Correlation is not causation" is one of the mantras of the sciences—a cautionary warning especially to fields like epidemiology and pharmacology where the seduction of compelling correlations naturally leads to causal hypotheses. The standard view from the epistemology of causation is that to tell whether one correlated variable is causing the other, one needs to intervene on the system—the best sort of intervention being a trial that is both randomized and controlled. In this paper, we argue that some purely correlational (...)
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  12. Abstraction and Generalization in the Logic of Science: Cases From Nineteenth-Century Scientific Practice.Claudia Cristalli & Ahti-Veikko Pietarinen - 2021 - Hopos: The Journal of the International Society for the History of Philosophy of Science 11 (1):93-121.
    Abstraction and generalization are two processes of reasoning that have a special role in the construction of scientific theories and models. They have been important parts of the scientific method ever since the nineteenth century. A philosophical and historical analysis of scientific practices shows how abstraction and generalization found their way into the theory of the logic of science of the nineteenth-century philosopher Charles S. Peirce. Our case studies include the scientific practices of Francis Galton and John Herschel, who introduced (...)
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  13. The Death of the Cortical Column? Patchwork Structure and Conceptual Retirement in Neuroscientific Practice.Philipp Haueis - 2021 - Studies in History and Philosophy of Science Part A 85:101-113.
    In 1981, David Hubel and Torsten Wiesel received the Nobel Prize for their research on cortical columns—vertical bands of neurons with similar functional properties. This success led to the view that “cortical column” refers to the basic building block of the mammalian neocortex. Since the 1990s, however, critics questioned this building block picture of “cortical column” and debated whether this concept is useless and should be replaced with successor concepts. This paper inquires which experimental results after 1981 challenged the building (...)
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  14. The Experimental Fire: Inventing English Alchemy, 1300–1700, Written by Jennifer M. Rampling. [REVIEW]Georgiana D. Hedesan - 2021 - Early Science and Medicine 26 (4):391-394.
  15. Animism, Aristotelianism, and the Legacy of William Gilbert’s De Magnete.Jeff Kochan - 2021 - Perspectives on Science 29 (2):157-188.
    William Gilbert’s 1600 book, De magnete, greatly influenced early modern natural philosophy. The book describes an impressive array of physical experiments, but it also advances a metaphysical view at odds with the soon to emerge mechanical philosophy. That view was animism. I distinguish two kinds of animism – Aristotelian and Platonic – and argue that Gilbert was an Aristotelian animist. Taking Robert Boyle as an example, I then show that early modern arguments against animism were often effective only against Platonic (...)
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  16. Sociologie fondamentale. Etude d'épistémologie.Dominique Raynaud - 2021 - Paris: Editions Matériologiques.
    Ce livre est un livre d’épistémologie de la sociologie. L’objectif est d’appliquer des méthodes analytiques pour clarifier le vocabulaire, expliciter des relations non-apparentes entre concepts, dégager la portée d’une méthode, ou souligner les incohérences d’un programme de recherche. Les questions épineuses ne sont pas écartéees: Comment clarifier des notions confuses? Peut-on mathématiser les concepts sociologiques? Peut-on pratiquer la sociologie comme on pratique les sciences naturelles? Quelle est la place du déterminisme? Chaque question est examinée à la fois dans sa structure (...)
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  17. Modal Empiricism: Interpreting Science Without Scientific Realism.Quentin Ruyant - 2021 - Springer International Publishing.
    This book proposes a novel position in the debate on scientific realism: Modal Empiricism. Modal empiricism is the view that the aim of science is to provide theories that correctly delimit, in a unified way, the range of experiences that are naturally possible given our position in the world. The view is associated with a pragmatic account of scientific representation and an original notion of situated modalities, together with an inductive epistemology for modalities. It purports to provide a faithful account (...)
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  18. Were Experiments Ever Neglected? Ian Hacking and the History of Philosophy of Experiment.Massimiliano Simons & Matteo Vagelli - 2021 - Philosophical Inquiries 9 (1):167-188.
    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. (...)
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  19. Understanding Stability in Cognitive Neuroscience Through Hacking's Lens.Jacqueline Anne Sullivan - 2021 - Philosophical Inquiries (1):189-208.
    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 (...)
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  20. ‘The Curious Ways to Observe Weight in Water’: Thomas Harriot and His Experiments on Specific Gravity.Stephen Clucas - 2020 - Early Science and Medicine 25 (4):302-327.
    This paper explores the experiments of the English mathematician Thomas Harriot on specific gravity in the years 1600-1605, as recorded in a series of manuscript notes in British Library Add. MS 6788. It examines the programme of reading undertaken by Harriot before these experiments, and describes a series of experiments conducted by him which compared the weight of a wide variety of substances in air and water. Harriot’s work is compared to that of his contemporary Marino Ghetaldi in Promotus Archimedis, (...)
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  21. Jean Perrin and the Philosophers’ Stories: The Role of Multiple Determination in Determining Avogadro’s Number.Klodian Coko - 2020 - Hopos: The Journal of the International Society for the History of Philosophy of Science 10 (1):143-193.
    The French physicist Jean Baptiste Perrin is widely credited with providing the conclusive argument for atomism. The most well-known part of Perrin’s argument is his description of thirteen different procedures for determining Avogadro’s number (N)–the number of atoms, ions, and molecules contained in a gram-atom, gram-ion, and gram-mole of a substance, respectively. Because of its success in ending the atomism debates Perrin’s argument has been the focus of much philosophical interest. The various philosophers, however, have reached different conclusions, not only (...)
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  22. The Multiple Dimensions of Multiple Determination.Klodian Coko - 2020 - Perspectives on Science 28 (4):505-541.
    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. (...)
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  23. Extrapolating From Laboratory Behavioral Research on Nonhuman Primates Is Unjustified.Parker Crutchfield - 2020 - Journal of Applied Philosophy 37 (4):628-645.
    Conducting research on animals is supposed to be valuable because it provides information on how human mechanisms work. But for the use of animal models to be ethically justified, it must be epistemically justified. The inference from an observation about an animal model to a conclusion about humans must be warranted for the use of animals to be moral. When researchers infer from animals to humans, it’s an extrapolation. Often non-human primates are used as animal models in laboratory behavioral research. (...)
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  24. Bruno J. Strasser. Collecting Experiments: Making Big Data Biology. Xv + 404 Pp., Bibl., Notes, Index. Chicago/London: University of Chicago Press, 2019. $45 (Paper). ISBN 9780226635040. [REVIEW]Mary F. E. Ebeling - 2020 - Isis 111 (2):440-441.
  25. Vincenzo Galilei’s Musicology and Galileo’s Science: Methodological Comparison and Contrast.Maurice A. Finocchiaro - 2020 - Isis 111 (4):740-758.
  26. Wundt and “Higher Cognition”.Gary Hatfield - 2020 - Hopos: The Journal of the International Society for the History of Philosophy of Science 10 (1):48-75.
  27. Simon Werrett. Thrifty Science: Making the Most of Materials in the History of Experiment. X + 315 Pp., Illus., Notes, Bibl., Index. Chicago/London: University of Chicago Press, 2019. $45 (Cloth). E-Book Available. [REVIEW]Marieke Hendriksen - 2020 - Isis 111 (3):668-669.
  28. What Was Perrin Really Doing in His Proof of the Reality of Atoms?Robert Hudson - 2020 - Hopos: The Journal of the International Society for the History of Philosophy of Science 10 (1):194-218.
  29. A Moral Obligation to Proper Experimentation: Research Ethics as Epistemic Filter in the Aftermath of World War II.Noortje Jacobs - 2020 - Isis 111 (4):759-780.
  30. Experiments in the Making: Instruments and Forms of Quantification in Francis Bacon’s Historia Densi Et Rari.Dana Jalobeanu - 2020 - Early Science and Medicine 25 (4):360-387.
    The Historia densi et rari, published posthumously in 1658, is probably Francis Bacon’s most complex natural and experimental history. It contains observations and experimental reports, quantitative estimates and tables, and theoretical and methodological considerations, in a structure which has never been fully investigated. I provide here a fresh reading of this text from the perspective of scientific practices. I claim that Historia densi et rari represents a quantitative and instrumental investigation assembled with the help of Bacon’s philosophy of experiment as (...)
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  31. Measurement Perspective, Process, and the Pandemic.Vadim Keyser & Hannah Howland - 2020 - European Journal for Philosophy of Science 11 (1):1-26.
    This discussion centers on two desiderata: the role of measurement in information-gathering and physical interaction in scientific practice. By taking inspiration from van Fraassen’s view, we present a methodological account of perspectival measurement that addresses empirical practice where there is complex intervention, disagreeing results, and limited theory. The specific aim of our account is to provide a methodological prescription for developing measurement processes in the context of limited theory. The account should be useful to philosophers of science, who are interested (...)
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  32. Experimental Design: Ethics, Integrity and the Scientific Method.Jonathan Lewis - 2020 - In Ron Iphofen (ed.), Handbook of Research Ethics and Scientific Integrity. Cham, Switzerland: pp. 459-474.
    Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...)
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  33. Experiment and Quantification of Weight: Late-Renaissance and Early Modern Medical, Mineralogical and Chemical Discussions on the Weights of Metals.Silvia Manzo - 2020 - Early Science and Medicine 25 (4):388-412.
    This paper explores how a set of observations on the weight of lead were interpreted and assessed between the 1540s and the 1630s across three different interconnecting disciplines: medicine, mineralogy and chemistry. The epistemic import of these discussions will be demonstrated by showing: 1) the changing role and articulation of experience and quantification in the investigation of metals; and 2) the notions associated with weight in different disciplinary frameworks. In medicine and mineralogy, weight was not considered as a specific subject (...)
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  34. Viral Imagery of Dengue Fever in the Age of Bacteriology.Maurits Bastiaan Meerwijk - 2020 - Isis 111 (2):239-263.
  35. Daniel Kennefick. No Shadow of a Doubt: The 1919 Eclipse That Confirmed Einstein’s Theory of Relativity. [REVIEW]Tiffany Nichols - 2020 - Isis 111 (2):417-418.
  36. Exploration and Experimentation on the Weight and Density of Substances in the Sixteenth and Early Seventeenth Centuries: Introduction.Cesare Pastorino - 2020 - Early Science and Medicine 25 (4):297-301.
  37. Johannes Kepler and the Exploration of the Weight of Substances in the Long Sixteenth Century.Cesare Pastorino - 2020 - Early Science and Medicine 25 (4):328-359.
    Numerous early modern experimentalists, including Galileo Galilei, Francis Bacon and Thomas Harriot, viewed one seemingly humble principle – that at a given volume, different substances can be identified by their particular weight, or specific gravity – as a fundamental key to the understanding of nature in general. Johannes Kepler’s Messekunst Archimedis of 1616 contains a striking summary of the experimental research on specific gravities in the long sixteenth-century. Counting himself amongst an extensive list of authors interested in this problem, Kepler (...)
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  38. Expanding Theory Testing in General Relativity: LIGO and Parametrized Theories.Lydia Patton - 2020 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 69:142-53.
    The multiple detections of gravitational waves by LIGO (the Laser Interferometer Gravitational-Wave Observatory), operated by Caltech and MIT, have been acclaimed as confirming Einstein's prediction, a century ago, that gravitational waves propagating as ripples in spacetime would be detected. Yunes and Pretorius (2009) investigate whether LIGO's template-based searches encode fundamental assumptions, especially the assumption that the background theory of general relativity is an accurate description of the phenomena detected in the search. They construct the parametrized post-Einsteinian (ppE) framework in response, (...)
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  39. Scientific Self-Correction: The Bayesian Way.Felipe Romero & Jan Sprenger - 2020 - Synthese (Suppl 23):1-21.
    The enduring replication crisis in many scientific disciplines casts doubt on the ability of science to estimate effect sizes accurately, and in a wider sense, to self-correct its findings and to produce reliable knowledge. We investigate the merits of a particular countermeasure—replacing null hypothesis significance testing with Bayesian inference—in the context of the meta-analytic aggregation of effect sizes. In particular, we elaborate on the advantages of this Bayesian reform proposal under conditions of publication bias and other methodological imperfections that are (...)
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  40. Cybernetic Times: Norbert Wiener, John Stroud, and the ‘Brain Clock’ Hypothesis.Henning Schmidgen - 2020 - History of the Human Sciences 33 (1):80-108.
    In 1955, Norbert Wiener suggested a sociological model according to which all forms of culture ultimately depended on the temporal coordination of human activities, in particular their synchronization. The basis for Wiener’s model was provided by his insights into the temporal structures of cerebral processes. This article reconstructs the historical context of Wiener’s ‘brain clock’ hypothesis, largely via his dialogues with John W. Stroud and other scholars working at the intersection of neurophysiology, experimental psychology, and electrical engineering. Since the 19th (...)
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  41. Examining Tensions in the Past and Present Uses of Concepts (Preprint).Eden T. Smith - 2020 - Studies in History and Philosophy of Science Part A 84:84-94.
    Examining tensions between the past and present uses of scientific concepts can help clarify their contributions as tools in experimental practices. This point can be illustrated by considering the concepts of mental imagery and hallucinations: despite debates over their respective referential reliabilities remaining unresolved within their interdependent histories, both are used as independently stable concepts in neuroimaging experiments. Building on an account of how these concepts function as tools structured for pursuit of diverging goals in experiments, this paper explores this (...)
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  42. The Aims and Structures of Ecological Research Programs.William Bausman - 2019 - Philosophical Topics 47 (1):1-20.
    Neutral Theory is controversial in ecology. Ecologists and philosophers have diagnosed the source of the controversy as: its false assumption that individuals in different species within the same trophic level are ecologically equivalent, its conflict with Competition Theory and the adaptation of species, its role as a null hypothesis, and as a Lakatosian research programme. In this paper, I show why we should instead understand the conflict at the level of research programs which involve more than theory. The Neutralist and (...)
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  43. What is a Computer Simulation and What Does This Mean for Simulation Validation?Claus Beisbart - 2019 - In Claus Beisbart & Nicole J. Saam (eds.), Computer Simulation Validation - Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Springer. pp. 901-923.
    Many questions about the fundamentals of some area take the form “What is …?” It does not come as a surprise then that, at the dawn of Western philosophy, Socrates asked the questions of what piety, courage, and justice are. Nor is it a wonder that the philosophical preoccupation with computer simulations centered, among other things, about the question of what computer simulations are. Very often, this question has been answered by stating that computer simulation is a species of a (...)
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  44. Jutta Schickore. About Method: Experimenters, Snake Venom, and the History of Writing Scientifically. Chicago: University of Chicago Press, 2017. Pp. 316. $50.00 . ISBN 978-0-226-44998-2. [REVIEW]Laura Georgescu - 2019 - Hopos: The Journal of the International Society for the History of Philosophy of Science 9 (2):410-415.
  45. Artifacts and Artefacts: A Methodological Classification of Context-Specific Regularities.Vadim Keyser - 2019 - In History and Philosophy of Technoscience: Perspectives on Classification in Synthetic Sciences: Unnatural Kinds. London, UK: pp. 63-77.
    Traditionally, in the literature on robustness analysis objects are classified as genuine phenomena (natural objects, events, and processes) or artifacts (results produced in error). But much of biological measurement requires the manipulation of local experimental conditions in order to produce new effects. These types of intervention-based regularities are neither natural objects nor artifacts; characterizing them as either fails adequately to address key ontological properties as well as their role in scientific practice. It is argued that a new classification, based on (...)
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  46. Types of Experiments and Causal Process Tracing: What Happened on the Kaibab Plateau in the 1920s.Roberta L. Millstein - 2019 - Studies in History and Philosophy of Science Part A 78:98-104.
    In a well-cited book chapter, ecologist Jared Diamond characterizes three main types of experiment performed in community ecology: laboratory experiment, field experiment, and natural experiment. Diamond argues that each form of experiment has strengths and weaknesses, with respect to, for example, realism or the ability to follow a causal trajectory. But does Diamond’s typology exhaust the available kinds of cause-finding practices? Some social scientists have characterized something they call “causal process tracing.” Is this a fourth type of experiment or something (...)
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  47. Phronesis and Automated Science: The Case of Machine Learning and Biology.Emanuele Ratti - 2019 - In Fabio Sterpetti & M. Bertolaso (eds.), Will Science Remain Human? Springer.
    The applications of machine learning and deep learning to the natural sciences has fostered the idea that the automated nature of algorithmic analysis will gradually dispense human beings from scientific work. In this paper, I will show that this view is problematic, at least when ML is applied to biology. In particular, I will claim that ML is not independent of human beings and cannot form the basis of automated science. Computer scientists conceive their work as being a case of (...)
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  48. Philosophy of Science and the Replicability Crisis.Felipe Romero - 2019 - Philosophy Compass 14 (11).
    Replicability is widely taken to ground the epistemic authority of science. However, in recent years, important published findings in the social, behavioral, and biomedical sciences have failed to replicate, suggesting that these fields are facing a “replicability crisis.” For philosophers, the crisis should not be taken as bad news but as an opportunity to do work on several fronts, including conceptual analysis, history and philosophy of science, research ethics, and social epistemology. This article introduces philosophers to these discussions. First, I (...)
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  49. Optimization of Scientific Reasoning: A Data-Driven Approach.Vlasta Sikimić - 2019 - Dissertation,
    Scientific reasoning represents complex argumentation patterns that eventually lead to scientific discoveries. Social epistemology of science provides a perspective on the scientific community as a whole and on its collective knowledge acquisition. Different techniques have been employed with the goal of maximization of scientific knowledge on the group level. These techniques include formal models and computer simulations of scientific reasoning and interaction. Still, these models have tested mainly abstract hypothetical scenarios. The present thesis instead presents data-driven approaches in social epistemology (...)
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  50. Image and Imagination of the Life SciencesBild Und Weltbild der Lebenswissenschaften: Das Stereomikroskop Am Scheitelpunkt der Modernen Biologie.Anna Simon-Stickley - 2019 - NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 27 (2):109-144.
    The Greenough stereomicroscope, or “Stemi” as it is colloquially known among microscopists, is a stereoscopic binocular instrument yielding three-dimensional depth perception when working with larger microscopic specimens. It has become ubiquitous in laboratory practice since its introduction by the unknown scientist Horatio Saltonstall Greenough in 1892. However, because it enabled new experimental practices rather than new knowledge, it has largely eluded historical and epistemological investigation, even though its design, production, and reception in the scientific community was inextricably connected to the (...)
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