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 (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.
- Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge: Cambridge University Press, 2010.
- Error and the Growth of Experimental Knowledge, Chicago: University of Chicago Press, 1996.
- Acceptable Evidence: Science and Values in Risk Management, co-edited with R.D. Hollander, New York: Oxford University Press, 1994.
Recent Articles (For a full list of publications, please see personal webpage)
- Philosophy 2605: Reason and Revolution
- Philosophy 5506: Metalogic
- Philosophy 6334: Advanced Topics in the Philosophy of Science