PhilSci Archive

Items where Subject is "General Issues > Data"

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Number of items at this level: 59.

Preprint

Allen, Colin and Murdock, Jaimie (2020) LDA Topic Modeling: Contexts for the History & Philosophy of Science. [Preprint]

Bokulich, Alisa (2019) Calibration, Coherence, and Consilience in Radiometric Measures of Geologic Time. [Preprint]

Bokulich, Alisa (2019) Towards a Taxonomy of the Model-Ladenness of Data. [Preprint]

Bokulich, Alisa (2018) Using Models to Correct Data: Paleodiversity and the Fossil Record. [Preprint]

Bonnin, Thomas (2019) Evidential Reasoning in the Historical Sciences: Applying Toulmin Schemas to the case of Archezoa. [Preprint]

Boon, Mieke (2020) The role of disciplinary perspectives in an epistemology of scientific models. [Preprint]

Boyd, Nora Mills (2018) Evidence Enriched. [Preprint]

Climenhaga, Nevin and DesAutels, Lane and Ramsey, Grant (2019) Causal Inference from Noise. [Preprint]

Curiel, Erik (2018) Framework Confirmation by Newtonian Abduction. [Preprint]

Curiel, Erik (2019) Framework Confirmation by Newtonian Abduction. [Preprint]

Curiel, Erik (2020) Schematizing the Observer and the Epistemic Content of Theories. [Preprint]

Currie, Adrian (2019) Paleobiology and Philosophy. [Preprint]

Céspedes, Esteban and Fuentes, Miguel (2019) Effective complexity: In which sense is it informative? [Preprint]

De Haro, Sebastian (2020) Book Review: Visual Representations in Science. [Preprint]

Elliott, Steve and MacCord, Kate and Maienschein, Jane (2019) Help with Data Management for the Novice and Well-Seasoned Alike. [Preprint]

Frigg, Roman and Nguyen, James (2017) Models and Representation. [Preprint]

Guralp, Genco (2020) The Evidence for the Accelerating Universe: Endorsement and Robust Consistency. [Preprint]

Johnson, Gabbrielle (2020) Algorithmic Bias: On the Implicit Biases of Social Technology. [Preprint]

Jones, Elizabeth (2019) Ancient Genetics to Ancient Genomics: Celebrity and Credibility in Data-Driven Practice. [Preprint]

Karaca, Koray (2017) Lessons from the Large Hadron Collider for model-based experimentation: The concept of a model of data acquisition and the scope of the hierarchy of models. [Preprint]

Kostic, Daniel and Hilgetag, Claus and Tittgemeyer, Marc (2020) Unifying the essential concepts of biological networks: biological insights and philosophical foundations. [Preprint]

Leonelli, Sabina (2018) Re-Thinking Reproducibility as a Criterion for Research Quality. [Preprint]

Leonelli, Sabina (2017) The Time of Data: Time-Scales of Data Use in the Life Sciences. [Preprint]

Leonelli, Sabina (2018) What Distinguishes Data from Models? [Preprint]

Leonelli, Sabina and Tempini, Niccolo (2018) Where Health and Environment Meet: The Use of Invariant Parameters for Big Data Analysis. [Preprint]

López-Rubio, Ezequiel (2020) The Big Data razor. [Preprint]

Mizrahi, Moti (2019) The Case Study Method in Philosophy of Science: An Empirical Study. [Preprint]

Mizrahi, Moti (2020) Hypothesis Testing in Scientific Practice: An Empirical Study. [Preprint]

Mizrahi, Moti (2020) Theoretical Virtues in Scientific Practice: An Empirical Study. [Preprint]

Mizrahi, Moti (2017) What’s so bad about Scientism? [Preprint]

Northcott, Robert (2019) Big data and prediction: four case studies. [Preprint]

Pence, Charles H. and Ramsey, Grant (2018) How to do digital philosophy of science. [Preprint]

Pietsch, Wolfgang (2017) A Causal Approach to Analogy. [Preprint]

Reutlinger, Alexander (2020) What is Epistemically Wrong with Research Affected by Sponsorship Bias? The Evidential Account. [Preprint]

Rochefort-Maranda, Guillaume (2017) The Principle of Total Evidence and Classical Statistical Tests. [Preprint]

Rochefort-Maranda, Guillaume (2013) Statistical Power and P-values: An Epistemic Interpretation Without Power Approach Paradoxes. [Preprint]

Schubbach, Arno (2019) Judging Machines. Philosophical Aspects of Deep Learning. [Preprint]

Sterner, Beckett and Witteveen, Joeri and Franz, Nico (2019) Alternatives to Realist Consensus in Bio-Ontologies: Taxonomic Classification as a Basis for Data Discovery and Integration. [Preprint]

Suñé, Abel and Martínez, Manolo (2019) Real patterns and indispensability. [Preprint]

Tempini, N and Leonelli, Sabina (2018) Concealment and Discovery: The Role of Information Security in Biomedical Data Re-Use. [Preprint]

Wylie, Caitlin D. (2019) Overcoming the underdetermination of specimens. [Preprint]

Conference or Workshop Item

Lawler, Insa and Zimmermann, Georg (2019) Misalignment between research hypotheses and statistical hypotheses – A threat to evidence-based medicine? In: UNSPECIFIED.

Napoletani, Domenico and Panza, Marco and Struppa, Daniele (2018) The Agnostic Structure of Data Science Methods. In: UNSPECIFIED.

Sprenger, Jan and Stegenga, Jacob (2017) Three Arguments for Absolute Outcome Measures. In: UNSPECIFIED.

Published Article or Volume

Barton, Adrien and Rosier, Arnaud (2016) Ontologies appliquées biomédicales et ontologie philosophique : un développement complémentaire. Lato Sensu, revue de la Société de philosophie des sciences, 3 (1). pp. 1-8. ISSN 2295-8029

Fletcher, Samuel C. (2019) Of War or Peace? Essay Review of Statistical Inference as Severe Testing. Philosophy of Science, 87 (4). ISSN 1539-767X

Frapolli, Maria J. and San Ginés, Aránzazu (2017) Stop beating the donkey! A fresh interpretation of conditional donkey sentences. THEORIA. An International Journal for Theory, History and Foundations of Science, 32 (1). pp. 7-24. ISSN 2171-679X

Jurjako, Marko and Malatesti, Luca and Brazil, Inti (2018) Some Ethical Considerations About the Use of Biomarkers for the Classification of Adult Antisocial Individuals. International Journal of Forensic Mental Health. ISSN 1499-9013

Karaca, Koray (2018) Two Senses of Experimental Robustness: Result Robustness and Procedure Robustness. The British Journal for the Philosophy of Science.

Nguyen, James (2016) On the Pragmatic Equivalence between Representing Data and Phenomena. Philosophy of Science, 83 (2). pp. 171-191.

Pérez Otero, Manuel (2017) Theories of Reference, Experimental Philosophy, and the Calibration of Intuitions. THEORIA. An International Journal for Theory, History and Foundations of Science, 32 (1). pp. 41-62. ISSN 2171-679X

Ratti, Emanuele (2020) Big Data in the Experimental Life Sciences. Metascience. ISSN 0815-0796

Rochefort-Maranda, Guillaume (2016) How we load our data sets with theories and why we do so purposefully. Studies in History and Philosophy of Science Part A.

Rochefort-Maranda, Guillaume (2016) Simplicity and model selection. European Journal for Philosophy of Science. ISSN 1879-4912

Vessonen, Elina (2018) The Complementarity of Psychometrics and the Representational Theory of Measurement. The British Journal for the Philosophy of Science.

Votsis, Ioannis (2016) Ad Hoc Hypotheses and the Monsters within. Fundamental Issues of Artificial Intelligence. pp. 299-313.

Votsis, Ioannis (2014) Objectivity in Confirmation: Post Hoc Monsters and Novel Predictions. Studies in History and Philosophy of Science, 45 (1). pp. 70-78.

Votsis, Ioannis (2016) Philosophy of Science and Information. The Routledge Handbook of Philosophy of Information. pp. 249-262.

Ward, Zina B. (2019) Registration Pluralism and the Cartographic Approach to Data Aggregation Across Brains. The British Journal for the Philosophy of Science. ISSN 1464-3537

This list was generated on Wed Jul 8 04:32:42 2020 EDT.