A. Philip Dawid is the second recipient of the David R. Cox Foundations of Statistics Award, presented by the American Statistical Association for groundbreaking contributions that have fundamentally shaped the foundations of statistical science across multiple domains. Dawid will receive the award and deliver a lecture at the Joint Statistical Meetings in August.
Dawid, emeritus professor of statistics at the University of Cambridge, made seminal contributions that transformed understanding of statistical foundations and methodology. His landmark 1979 paper on conditional independence in the Journal of the Royal Statistical Society, Series B provided the mathematical foundation for modern applied model-based statistical methods and has influenced developments in uncertainty quantification for more than four decades.
Beyond conditional independence, Dawid pioneered novel approaches, including prequential analysis for sequential forecasting, proper scoring rules for probability assessment, and decision-theoretic frameworks for causal inference. His work bridges theoretical foundations and practical applications, particularly evident in his contributions to forensic science and legal reasoning involving DNA evidence.
Dawid’s research has influenced fields beyond statistics, including artificial intelligence, information theory, and the foundations of probability. His papers on well-calibrated probability forecasting and empirical probability have become classics in economics and algorithmic randomness theory. Throughout his career, Dawid’s research has been notable for identifying fundamental issues that later became mainstream areas of research.
The David R. Cox Foundations of Statistics Award was created in 2022 through an endowment by Deborah G. Mayo, professor emerita of philosophy at Virginia Tech.
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