FSU Announces Nancy Reid as Inaugural Myles Hollander Distinguished Lecturer
The Department of Statistics at Florida State University is pleased to announce Nancy Reid, University Professor and Canada Research Chair in Statistical Methodology at the University of Toronto, as the inaugural speaker for its newly endowed Myles Hollander Distinguished Lecture.
Reid will present “Three Rs — Reliability, Replicability, Reproducibility: the interplay between statistical science and data science,” Oct. 30, 2020.
Reid obtained her Ph.D. from Stanford in 1979 and taught at the University of British Columbia from 1980 to 1985 before moving to the University of Toronto. Among her many professional honors are the President’s Award of the Committee of Presidents of Statistical Societies, COPSS, in 1992, Fellow of the Royal Society of London, Foreign Associate of the U.S. National Academy of Sciences, and Fellow of the Royal Society of Canada. In 2014, she was appointed to the Order of Canada for her extraordinary contributions to the Canadian nation.
Reid’s research has had broad influence, including in statistical theory, likelihood inference, design of studies, and statistical science in public policy. Her main research contributions have been to the field of theoretical statistics. The goal is to use information from noisy data as efficiently as possible, and to elucidate general principles for doing so, in order to provide structures for developing new statistical methods in new areas of application.
The current pandemic has brought into sharp relief the essential role of data in nearly all aspects of science, government, and public health. But data is useless without explanation and interpretation, and statistical science has a long history and rich traditions of providing explanation and interpretation. However, statistical reasoning is often not well-understood, and misuse of statistical arguments has contributed to confusion over the three R’s in the title. In this talk, Reid describes how data science and statistical science together can provide a robust framework for extracting insights from data reliably, and thus contribute to both replicability and reproducibility. This is illustrated with a selection of examples from recent news articles, along with some discussion on the role of the theory of inference in this framework.