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Deborah Mayo
235 Major Williams Hall
(540) 231-8488
Email
Dr. Mayo's work is in the epistemology of science and the philosophy of statistical inference.
Her recent research has involved developing an account of experimental inference in science
based upon statistical reasoning and the idea of learning from error. Her "error statistical" philosophy
of experiment is set out in her Error and the Growth of Experimental Knowledge (The University of
Chicago Press, 1996). She applies her approach toward solving key problems in philosophy of science:
underdetermination, the role of novel evidence, Duhem's problem, and the nature of scientific progress.
Dr. Mayo is also interested in applications to problems in risk analysis and risk controversies, and has
co-edited Acceptable Evidence: Science and Values in Risk Management (with Rachelle Hollander).
Dr. Mayo teaches courses in introductory and advanced logic (including the metatheory of logic and modal
logic), in scientific method, and in philosophy of science. She also teaches special topics courses
in Science and Technology Studies.
Publications:
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Error and the Growth of Experimental Knowledge (The University of Chicago Press, 1996)
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Acceptable Evidence: Science and Values in Risk Management (co-editor with Rachelle Hollander)
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"The New Experimentalism, Topical Hypotheses, and Learning From Error"
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"Severe Tests, Arguing From Error, and Methodological Underdetermination"
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"The Test of Experiment: C.S. Peirce and E. S. Pearson, "Novel Evidence and Severe Tests"
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"Brownian Motion and the Appraisal of Theories"
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"Understanding Frequency-Dependent Causation"
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"Behavioristic, Evidentialist, and Learning Models of Statistical Testing"
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