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Mary Morgan
London School of Economics
  1. Models as Mediators: Perspectives on Natural and Social Science.Mary S. Morgan & Margaret Morrison (eds.) - 1999 - Cambridge University Press.
    Models as Mediators discusses the ways in which models function in modern science, particularly in the fields of physics and economics. Models play a variety of roles in the sciences: they are used in the development, exploration and application of theories and in measurement methods. They also provide instruments for using scientific concepts and principles to intervene in the world. The editors provide a framework which covers the construction and function of scientific models, and explore the ways in which they (...)
     
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  2.  16
    The World in the Model: How Economists Work and Think.Mary S. Morgan - 2012 - Cambridge University Press: Cambridge.
    During the last two centuries, the way economic science is done has changed radically: it has become a social science based on mathematical models in place of words. This book describes and analyses that change - both historically and philosophically - using a series of case studies to illuminate the nature and the implications of these changes. It is not a technical book; it is written for the intelligent person who wants to understand how economics works from the inside out. (...)
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  3. Deidealization: No Easy Reversals.Tarja Knuuttila & Mary S. Morgan - 2019 - Philosophy of Science 86 (4):641-661.
    Deidealization as a topic in its own right has attracted remarkably little philosophical interest despite the extensive literature on idealization. One reason for this is the often implicit assumption that idealization and deidealization are, potentially at least, reversible processes. We question this assumption by analyzing the challenges of deidealization within a menu of four broad categories: deidealizing as recomposing, deidealizing as reformulating, deidealizing as concretizing, and deidealizing as situating. On closer inspection, models turn out much more inflexible than the reversal (...)
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  4.  19
    Learningjrom models.Mary S. Morgan - 1999 - In Margaret Morrison & Mary Morgan (eds.), Models as Mediators: Perspectives on Natural and Social Science. pp. 52--347.
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  5.  47
    How well do facts travel?: the dissemination of reliable knowledge.Peter Howlett & Mary S. Morgan (eds.) - 2010 - New York: Cambridge University Press.
    Facts often acquire a life of their own; the stories in this book explain why.
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  6.  42
    Resituating Knowledge: Generic Strategies and Case Studies.Mary S. Morgan - 2014 - Philosophy of Science 81 (5):1012-1024.
    This paper addresses the problem of how scientific knowledge, which is always locally generated, becomes accepted in other sites. The analysis suggests that there are a small number of strategies that enable scientists to resituate knowledge and that these strategies are generic: they are not restricted to specific disciplines or modes of doing science but rather are found in a variety of different forms across the sciences.
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  7.  42
    Narrative science and narrative knowing. Introduction to special issue on narrative science.Mary S. Morgan & M. Norton Wise - 2017 - Studies in History and Philosophy of Science Part A 62:1-5.
  8.  46
    Narrative ordering and explanation.Mary S. Morgan - 2017 - Studies in History and Philosophy of Science Part A 62:86-97.
  9.  3
    Models and stories in Hadron physics.Mary S. Morgan & Margaret Morrison - 1999 - In Mary S. Morgan & Margaret Morrison (eds.), Models as Mediators. pp. 326-346.
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  10. Nature’s Experiments and Natural Experiments in the Social Sciences.Mary S. Morgan - 2013 - Philosophy of the Social Sciences 43 (3):341-357.
    This article explores the characteristics of research sites that scientists have called “natural experiments” to understand and develop usable distinctions for the social sciences between “Nature’s or Society’s experiments” and “natural experiments.” In this analysis, natural experiments emerge as the retro-fitting by social scientists of events that have happened in the social world into the traditional forms of field or randomized trial experiments. By contrast, “Society’s experiments” figure as events in the world that happen in circumstances that are already sufficiently (...)
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  11. Case Studies: One Observation or Many? Justification or Discovery?Mary S. Morgan - 2012 - Philosophy of Science 79 (5):667-677.
    Critiques of case studies as an epistemic genre usually focus on the domain of justification and hinge on comparisons with statistics and laboratory experiments. In this domain, case studies can be defended by the notion of “infirming”: they use many different bits of evidence, each of which may independently “infirm” the account. Yet their efficacy may be more powerful in the domain of discovery, in which these same different bits of evi- dence must be fully integrated to create an explanatory (...)
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  12.  27
    ‘If p? Then What?’ Thinking within, with, and from cases.Mary S. Morgan - 2020 - History of the Human Sciences 33 (3-4):198-217.
    The provocative paper by John Forrester ‘If p, Then What? Thinking in Cases’ opened up the question of case thinking as a separate mode of reasoning in the sciences. Case-based reasoning is certainly endemic across a number of sciences, but it has looked different according to where it has been found. This article investigates this mode of science – namely thinking in cases – by questioning the different interpretations of ‘If p?’ and exploring the different interpretative responses of what follows (...)
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  13. 1. Preface Preface (p. vii).Michael Dickson, Don Howard, Scott Tanona, Mathias Frisch, Eric Winsberg, Arnold Koslow, Paul Teller, Ronald N. Giere, Mary S. Morgan & Mauricio Suárez - 2004 - Philosophy of Science 71 (5).
  14.  31
    Exemplification and the use-values of cases and case studies.Mary S. Morgan - 2019 - Studies in History and Philosophy of Science Part A 78 (C):5-13.
  15.  71
    Secrets hidden by two-dimensionality: The economy as a hydraulic machine.Mary S. Morgan & Marcel J. Boumans - unknown
    A long-standing tradition presents economic activity in terms of the flow of fluids. This metaphor lies behind a small but influential practice of hydraulic modelling in economics. Yet turning the metaphor into a three-dimensional hydraulic model of the economic system entails making numerous and detailed commitments about the analogy between hydraulics and the economy. The most famous 3-D model in economics is probably the Phillips machine, the central object of this paper.
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  16. Modeling Practices in the Social and Human Sciences. An Interdisciplinary Exchange.Mary S. Morgan & Till Grüne-Yanoff - 2013 - Perspectives on Science 21 (2):143-156.
    Philosophers of science studying scientific practice often consider it a methodological requirement that their conceptualization of "model" closely connects with the understanding and use of models by practicing scientists. Occasionally, this connection has been explicitly made (Hutten 1954, Suppes 1961, Morgan and Morrison 1999, Bailer-Jones 2002, Lehtinen and Kuorikoski 2007, Kuorikoski 2007, Morgan 2012a). These studies have been dominated by a focus on the—relatively similar forms of—mathematical models in physics and economics. Yet it has become increasingly evident that the way (...)
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  17.  96
    Imagination and imaging in model building.Mary S. Morgan - 2004 - Philosophy of Science 71 (5):753-766.
    Modelling became one of the primary tools of mathematical economic research in the twentieth century, but when we look at examples of how nonanalogical models were first built in economics, both the process of making representations and aspects of the representing relation remain opaque. Like early astronomers, economists have to imagine how the hidden parts of their world are arranged and to make images, that is, create models, to represent how they work. The case of the Edgeworth Box, a model (...)
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  18. The Probabilistic Revolution, Volume 2.Lorenz Krüger, Gerd Gigerenzer & Mary S. Morgan (eds.) - 1987 - Mit Press: Cambridge.
    I PSYCHOLOGY 5 The Probabilistic Revolution in Psychology--an Overview Gerd Gigerenzer 7 1 Probabilistic Thinking and the Fight against Subjectivity Gerd Gigerenzer 11 2 Statistical Method and the Historical Development of Research Practice in American Psychology Kurt Danziger 35 3 Survival of the Fittest Probabilist: Brunswik, Thurstone, and the Two Disciplines of Psychology Gerd Gigerenzer 49 4 A Perspective for Viewing the Integration of Probability Theory in Psychology David J. Murray 73 II SOCIOLOGY 101 5 The Two Empirical Roots of (...)
     
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  19.  39
    Simulation : The birth of a technology to create « evidence » in economics / La simulation : Naissance d'une technologie de la création des « indices » en économie.Mary S. Morgan - 2004 - Revue d'Histoire des Sciences 57 (2):339-375.
  20.  81
    The technology of analogical models: Irving Fisher's monetary worlds.Mary S. Morgan - 1997 - Philosophy of Science 64 (4):314.
    Mary Hesse's well-known work on models and analogies gives models a creative role to play in science, which rests on developing certain analogical properties considered neutral between the two fields. Case study material from Irving Fisher's work (The Purchasing Power of Money, 1911), in which he used analogies to construct models of monetary relations and the monetary system, highlights certain omissions in Hesse's account. The analysis points to the importance of taking account of the negative properties in the analogies and (...)
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  21.  12
    Do you see it this way? Visualising as a tool of sense-making.Marcel Boumans & Mary S. Morgan - 2023 - Studies in History and Philosophy of Science Part A 101 (C):30-39.
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  22.  36
    Moving forward on models.Mary S. Morgan - 2015 - Journal of Economic Methodology 22 (2):254-258.
  23. Case studies.Mary S. Morgan - 2014 - In Nancy Cartwright & Eleonora Montuschi (eds.), Philosophy of Social Science: A New Introduction. Oxford University Press.
     
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  24.  36
    Experiencing Life Through Modeling.Mary S. Morgan - 2013 - Perspectives on Science 21 (2):245-249.
    Graeme Earl's paper on computer graphic modeling in archaeology raises many themes of interest for the philosopher of science, although, as is to be expected of complex social and technical disciplinary practices, these philosophical issues are not to be easily separated or neatly labeled. On the one hand, the modeling practices and concerns of the archaeologists dispute (or even disrupt) the philosophers' traditional notions, while the formers' reective commentaries offer sophisticated analyses that go beyond the latters' traditional reflections on models. (...)
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  25. Glass ceilings and sticky floors : drawing new ontologies.Mary S. Morgan - 2017 - In Karine Chemla & Evelyn Fox Keller (eds.), Cultures without culturalism: the making of scientific knowledge. Duke University Press.
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  26.  17
    Narrative Science: Reasoning, Representing and Knowing Since 1800.Mary S. Morgan & Kim M. Hajek (eds.) - 2022 - Cambridge University Press.
    Narrative Science examines the use of narrative in scientific research over the last two centuries. It brings together an international group of scholars who have engaged in intense collaboration to find and develop crucial cases of narrative in science. Motivated and coordinated by the Narrative Science project, funded by the European Research Council, this volume offers integrated and insightful essays examining cases that run the gamut from geology to psychology, chemistry, physics, botany, mathematics, epidemiology, and biological engineering. Taking in shipwrecks, (...)
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  27.  2
    No Title available: Reviews.Mary S. Morgan - 1991 - Economics and Philosophy 7 (2):308-315.
  28.  18
    Symposium on Marshall's tendencies: 1 how models help economists to know.Mary S. Morgan - 2002 - Economics and Philosophy 18 (1):5-16.
    Over the last 40 years or so, economics has become a modelling science: a science in which models have become one of the main epistemological tools both for theoretical and applied work. But providing an account of how models work and what they do for the economist is not easy. For the philosopher of economics like me, struggling with this question, John Sutton's views on the nature and design of economic models and how they work is indeed thought provoking. Because (...)
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  29. Seeking parts, looking for wholes.Mary S. Morgan - 2011 - In Lorraine Daston & Elizabeth Lunbeck (eds.), Histories of Scientific Observation. University of Chicago Press.
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  30.  21
    Conceptual Anomalies in Economics and Statistics: Lessons from the Social Experiment, Leland Gerson Neuberg. Cambridge: Cambridge University Press, 1989, 365 pages. [REVIEW]Mary S. Morgan - 1991 - Economics and Philosophy 7 (2):308.