User:DavisP6/Sandbox

Deborah G. Mayo (born 1979) is a professor in the Department of Philosophy at Virginia Tech and holds a visiting appointment at the Center for the Philosophy of Natural and Social Science of the London School of Economics. Biography

Getting her Ph.D. from University of Pennsylvania, her most recent research involves developing an account of experimental inference in science based upon statistical reasoning and the idea of learning from error. Dr. Mayo teaches courses in introductory and advanced logic (including the meta-theory of logic and modal logic), in scientific method, and in philosophy of science. Mayo also teaches special topics courses in Science and Technology Studies. Career

In 1994,Mayo co-edited with R.D. Hollander, "the Error and the Growth of Experimental Knowledge". Mayo wrote "the Error and the Growth of Experimental Knowledge" in 1998. In 2010,Mayo's most recent work was published, "Error and inference: Recent Exchanges on Experimental Reasoning". Awards

In 1998,Mayo was awarded the Lakatos Award for her book "The Error and the Growth of experimental Knowledge. It is given annually for a contribution to the philosophy of science which is widely interpreted as outstanding.The contribution must be in the form of a book published in English during the previous six years. Error and the Growth of Experimental Knowledge

Chapter 1: Learning from Error "We learn from our mistakes. Few would take issue with this dictum. If it is more than merely a cliché, then it would seem of interest to epistemologists to inquire how knowledge is obtained from mistakes or from error. But epistemologists have not explored, in any serious way, the basis behind this truism--the different kinds of mistakes that seem to matter, or the role of error in learning about the world”(Error and the Growth of Experimental Knowledge).Mayo wants to analyze the form of mistakes that can provide knowledge to those that are making the mistakes and observing it. Oscar Wilde says, “Experience is the name everyone gives to their mistakes”. However, not all mistakes are worth the experience or knowledge learned. On page 4 of the first chapter, Mayo points out that "learning from error itself is fraught with too much risk of error" Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. Error and the Growth of Experimental Knowledge gives a dynamic critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical approach as a more strong framework for the epistemology of experiment. Mayo reports the needs of researchers who work with statistical analysis, and engages the philosophical problems of objectivity and rationality. Mayo has argued for an account of learning from error that goes beyond detecting logical conflicts. She presents her complete program for how we learn about the world. Her tough, practical approach will be important to philosophers and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis. Published Work

Books: 1. Acceptable Evidence: Science and Values in Risk Management,co-edited with R.D. Hollander, New York: Oxford University Press, 1994 2. Experimental Knowledge, Chicago: University of Chicago Press,1996. 3. Error and Inference: Recent Exchanges on Experimental Reasoning,Reliability, and the Objectivity and Rationality of Science, Cambridge University Press, 2010 Error and the Growth of A complete list of her published work can be found here Presentation slides published by Mayo can also be found here Classes

Philosophy 2605: Reason and Revolution Philosophy 5506:Meta-logic Philosophy 6334:Advanced Topics in the Philosophy of Science References

1. http://www.phil.vt.edu/dmayo/personal_website/ 2. http://vserver1.cscs.lsa.umich.edu/~crshalizi/reviews/error/ 3. http://www.phil.vt.edu/dmayo/personal_website/EGEKChap1.pdf 4. http://errorstatistics.blogspot.com/