Photo by Uosis Joudvalkis courtesy of Brown University Archives
The Grenander Prize recognizes exceptional theoretical and applied contributions in stochastic theory and modeling. It is awarded for seminal work, theoretical or applied, in the areas of probabilistic modeling, statistical inference, or related computational algorithms, especially for the analysis of complex or high-dimensional systems.
Next Prize: January 2021
Nomination Period: 1 March – 30 June, 2020
Nomination Procedure: Nominations with supporting information should be submitted online.
Most Recent Prize: 2018 – Judea Pearl received the Grenander Prize in Stochastic Theory and Modeling in 2018 for the invention of a model-based approach to probabilistic and causal reasoning, for the discovery of innovative tools for inferring these models from observations, and for the development of novel computational methods for the practical applications of these models.
About this Prize: This prize was established in 2016 by colleagues of Ulf Grenander (1923-2016). Professor Grenander was an influential scholar in stochastic processes, abstract inference, and pattern theory. He published landmark works throughout his career, notably his 1950 dissertation, Stochastic Processes and Statistical Interference at Stockholm University, Abstract Inference, his seminal Pattern Theory: From representation to inference and General Pattern Theory. A long-time faculty member of Brown University’s Division of Applied Mathematics, Grenander received many honors. He was a fellow of the American Academy of Arts and Sciences, the National Academy of Sciences and was a member of the Royal Swedish Academy of Sciences.See previous prizes