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  1. Machine Learning, Misinformation, and Citizen Science.Adrian K. Yee - 2023 - European Journal for Philosophy of Science 13 (56):1-24.
    Current methods of operationalizing concepts of misinformation in machine learning are often problematic given idiosyncrasies in their success conditions compared to other models employed in the natural and social sciences. The intrinsic value-ladenness of misinformation and the dynamic relationship between citizens' and social scientists' concepts of misinformation jointly suggest that both the construct legitimacy and the construct validity of these models needs to be assessed via more democratic criteria than has previously been recognized.
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  • Null hypothesis testing ≠ Scientific inference: A critique of the shaky premise at the heart of the science and values debate, and a defense of value‐neutral risk assessment.Brian H. MacGillivray - forthcoming - Risk Analysis.
    Many philosophers and statisticians argue that risk assessors are morally obligated to evaluate the probabilities and consequences of methodological error, and to base their decisions of whether to adopt a given parameter value, model, or hypothesis on those considerations. This argument is couched within the rubric of null hypothesis testing, which I suggest is a poor descriptive and normative model for risk assessment. Risk regulation is not primarily concerned with evaluating the probability of data conditional upon the null hypothesis, but (...)
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  • Franklin’s Field Guide to Scientific Experiments - Allan Franklin, What Makes a Good Experiment? Reasons and Roles in Science. Pittsburgh: University of Pittsburgh Press (2016), 384 pp., $55.00. [REVIEW]Nora Mills Boyd - 2017 - Philosophy of Science 84 (3):586-594.
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  • Explaining simulated phenomena. A defense of the epistemic power of computer simulations.Juan M. Durán - 2013 - Dissertation, University of Stuttgart
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  • Exploring a Mechanistic Approach to Experimentation in Computing.Eric Hatleback & Jonathan M. Spring - 2014 - Philosophy and Technology 27 (3):441-459.
    The mechanistic approach in philosophy of science contributes to our understanding of experimental design. Applying the mechanistic approach to experimentation in computing is beneficial for two reasons. It connects the methodology of experimentation in computing with the methodology of experimentation in established sciences, thereby strengthening the scientific reputability of computing and the quality of experimental design therein. Furthermore, it pinpoints the idiosyncrasies of experimentation in computing: computing deals closely with both natural and engineered mechanisms. Better understanding of the idiosyncrasies, which (...)
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  • Computing and Experiments: A Methodological View on the Debate on the Scientific Nature of Computing.Viola Schiaffonati & Mario Verdicchio - 2014 - Philosophy and Technology 27 (3):359-376.
    The question about the scientific nature of computing has been widely debated with no universal consensus reached about its disciplinary status. Positions vary from acknowledging computing as the science of computers to defining it as a synthetic engineering discipline. In this paper, we aim at discussing the nature of computing from a methodological perspective. We consider, in particular, the nature and role of experiments in this field, whether they can be considered close to the traditional experimental scientific method or, instead, (...)
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  • Understanding scientific study via process modeling.Robert W. P. Luk - 2010 - Foundations of Science 15 (1):49-78.
    This paper argues that scientific studies distinguish themselves from other studies by a combination of their processes, their (knowledge) elements and the roles of these elements. This is supported by constructing a process model. An illustrative example based on Newtonian mechanics shows how scientific knowledge is structured according to the process model. To distinguish scientific studies from research and scientific research, two additional process models are built for such processes. We apply these process models: (1) to argue that scientific progress (...)
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  • Towards a Typology of Experimental Errors: an Epistemological View.Giora Hon - 1989 - Studies in History and Philosophy of Science Part A 20 (4):469.
    This paper is concerned with the problem of experimental error. The prevalent view that experimental errors can be dismissed as a tiresome but trivial blemish on the method of experimentation is criticized. It is stressed that the occurrence of errors in experiments constitutes a permanent feature of the attempt to test theories in the physical world, and this feature deserves proper attention. It is suggested that a classification of types of experimental error may be useful as a heuristic device in (...)
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  • (1 other version)Introduction. Philosopher sur l’expérimentation scientifique : bilan et perspectives.Catherine Dupouy Allamel-Raffin - 2019 - Philosophia Scientiae 23:5-18.
    Le projet à l’origine de ce dossier thématique est celui d’une étude comparative de l’expérimentation telle qu’elle apparaît dans les sciences de la nature et dans les sciences humaines et sociales. Il illustre et prolonge les réflexions d’un séminaire de recherche sur le même sujet, organisé par Catherine Allamel-Raffin, qui s’est tenu pendant deux ans à l’université de Strasbourg grâce à un financement de la Misha. Les...
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  • Snakes and methods: Schickore, Jutta: About method. Experimenters, snake venom, and the history of writing scientifically. Chicago: University of Chicago Press, 2017, 316 pp, US$50.00 , US$50.00.Allan Franklin - 2017 - Metascience 27 (2):217-220.
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  • The Milky Way’s Supermassive Black Hole: How Good a Case Is It?: A Challenge for Astrophysics & Philosophy of Science.Andreas Eckart, Andreas Hüttemann, Claus Kiefer, Silke Britzen, Michal Zajaček, Claus Lämmerzahl, Manfred Stöckler, Monica Valencia-S., Vladimir Karas & Macarena García-Marín - 2017 - Foundations of Physics 47 (5):553-624.
    The compact and, with \ M\, very massive object located at the center of the Milky Way is currently the very best candidate for a supermassive black hole in our immediate vicinity. The strongest evidence for this is provided by measurements of stellar orbits, variable X-ray emission, and strongly variable polarized near-infrared emission from the location of the radio source Sagittarius A* in the middle of the central stellar cluster. Simultaneous near-infrared and X-ray observations of SgrA* have revealed insights into (...)
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  • More On The Relationship Between Technically Good And Conceptually Important Experiments: A Case Study1.Margaret Morrison - 1986 - British Journal for the Philosophy of Science 37 (1):101-115.
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  • (2 other versions)La philosophie morale expérimentale est-elle expérimentale?Yves Serra - 2019 - Philosophia Scientiae 23:149-171.
    La philosophie morale expérimentale telle qu’elle se développe depuis vingt ans a pour ambition d’apporter des arguments aux débats philosophiques par l’utilisation de méthodes expérimentales issues de la psychologie. L’article a pour objet premièrement de donner un aperçu de ces développements, deuxièmement d’analyser différents types de difficultés liées tant au processus d’expérimentation en philosophie morale qu’à la dimension normative et, troisièmement, de les inscrire dans la perspective de l’expérimentation dans les sciences de la nature.
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  • The philosophical relevance of 'technically good' experiments.Tyrone Lai - 1984 - British Journal for the Philosophy of Science 35 (2):156-159.
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  • (2 other versions)Is experimental moral philosophy really experimental?Yves Serra - 2019 - Philosophia Scientiae 23:149-171.
    La philosophie morale expérimentale telle qu’elle se développe depuis vingt ans a pour ambition d’apporter des arguments aux débats philosophiques par l’utilisation de méthodes expérimentales issues de la psychologie. L’article a pour objet premièrement de donner un aperçu de ces développements, deuxièmement d’analyser différents types de difficultés liées tant au processus d’expérimentation en philosophie morale qu’à la dimension normative et, troisièmement, de les inscrire dans la perspective de l’expérimentation dans les sciences de la nature.
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  • (1 other version)Introduction. Philosophizing about scientific experimentation: a summary report and future prospects.Catherine Allamel-Raffin, Stéphanie Dupouy & Jean-Luc Gangloff - 2019 - Philosophia Scientiae 23:5-18.
    Le projet à l’origine de ce dossier thématique est celui d’une étude comparative de l’expérimentation telle qu’elle apparaît dans les sciences de la nature et dans les sciences humaines et sociales. Il illustre et prolonge les réflexions d’un séminaire de recherche sur le même sujet, organisé par Catherine Allamel-Raffin, qui s’est tenu pendant deux ans (2017-2018) à l’université de Strasbourg grâce à un financement de la Misha (Maison Interuniversitaire des Sciences de l’Homme – Alsace). Les...
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