PhilSci Archive

Items where Subject is "General Issues > Data"

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Number of items at this level: 89.

A

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

Antoniou, Antonis (2021) What is a data model? An anatomy of data analysis in High Energy Physics. [Preprint]

B

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

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]

Bokulich, Alisa and Parker, Wendy (2021) Data Models, Representation, and Adequacy-for-Purpose. [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]

C

Cabrera, Frank (2020) Correlation Isn’t Good Enough: Causal Explanation and Big Data. Metascience. ISSN 0815-0796

Cabrera, Frank (2020) The Fate of Explanatory Reasoning in the Age of Big Data. Philosophy and Technology.

Canali, Stefano and Piroddi, Corrado (2021) Introduction: The philosophy, ethics, and politics of epidemiology today. MEFISTO. Rivista di Medicina, Filosofia, Storia, 5 (1). pp. 55-64. ISSN 2532-8255

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]

Currie, Adrian (2020) Stepping Forwards by Looking Back: Underdetermination, Epistemic Scarcity & Legacy Data. [Preprint]

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

D

De Baerdemaeker, Siska and Boyd, Nora Mills (2020) Jump Ship, Shift Gears, or Just Keep on Chugging: Assessing the Responses to Tensions between Theory and Evidence in Contemporary Cosmology. [Preprint]

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

Dellsén, Finnur (2021) An Epistemic Advantage of Accommodation over Prediction. [Preprint]

E

Elliott, Steve and MacCord, Kate and Maienschein, Jane (2021) Help with Data Management for the Novice and Experienced Alike. [Preprint]

F

Facchini, Alessandro and Termine, Alberto (2021) Towards a Taxonomy of Pragmatic Opacity. [Preprint]

Fletcher, Samuel C. (2021) How (not) to measure replication. European Journal for Philosophy of Science, 11 (57). pp. 1-27. ISSN 1879-4912

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

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

G

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

Guttinger, Stephan and Love, Alan C. (2020) modENCODE and the elaboration of functional genomic methodology. [Preprint]

H

Healey, Richard A. (2021) Scientific Objectivity and its Limits. [Preprint]

J

Jacoby, Franklin (2020) Data Identity and Perspectivism. [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]

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

K

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]

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

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

Kubiak, Adam P. and Kawalec, Paweł (2021) Prior Information in Frequentist Study Designs: The Case of Neyman’s Sampling Theory. [Preprint]

L

Larroulet Philippi, Cristian (2021) Valid for What? On the Very Idea of Unconditional Validity. Philosophy of the Social Sciences, 51 (2). pp. 151-175.

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

Lean, Oliver M (2021) Are Bio-ontologies Metaphysical Theories? [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]

M

Machery, Edouard (2021) A mistaken confidence in data. [Preprint]

Martínez-Ordaz, María del Rosario (2021) Is there anything special about the ignorance involved in big data practices? [Preprint]

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

Mizrahi, Moti (2020) Conceptions of Scientific Progress in Scientific Practice: An Empirical Study. [Preprint]

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

Mizrahi, Moti (2020) Proof, Explanation, and Justification in Mathematical Practice. [Preprint]

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

Mizrahi, Moti (2021) What is the Basic Unit of Scientific Progress? A Quantitative, Corpus-Based Study. [Preprint]

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

N

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

Napoletani, Domenico and Panza, Marco and Struppa, Daniele (2021) The Agnostic Structure of Data Science Methods. Lato Sensu, revue de la Société de philosophie des sciences, 8 (2). pp. 44-57. ISSN 2295-8029

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

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

P

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

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

Plutniak, Sébastien (2020) The Effects of Publishing Processes on Scientific Thought. Typography and Typology in Prehistoric Archaeology (1950s–1990s). Science in Context, 33 (3). pp. 273-297. ISSN 1474-0664

Plutynski, Anya (2021) The Cancer Genome Atlas Project: Natural History, Experiment, or Something In-Between? [Preprint]

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

R

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

Ratti, Emanuele and Graves, Mark (2021) Cultivating Moral Attention: A Virtue-oriented Approach to Responsible Data Science in Healthcare. Philosophy & Technology.

Ratti, Emanuele and Stoeger, Thomas (2021) Large-scale Biology: Philosophical, Historical, and Computational Perspectives. [Preprint]

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

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 (2017) The Principle of Total Evidence and Classical Statistical Tests. [Preprint]

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

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

Rosenstock, Sarita (2020) Learning from the Shape of Data. In: UNSPECIFIED.

Rubin, Mark (2020) Does preregistration improve the credibility of research findings? The Quantitative Methods in Psychology, 16 (4). pp. 376-390.

Räz, Tim (2020) Understanding Deep Learning With Statistical Relevance. [Preprint]

S

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

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

Sterner, Beckett and Elliott, Steve and Gilbert, Ed and Franz, Nico (2020) Data Integration without Unification. [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]

T

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

V

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.

W

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

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

This list was generated on Wed Dec 1 05:56:00 2021 EST.