Mia Hubert and Stefan Van Aelst, Rousseeuw Prize Organizers
The Rousseeuw Prize for Statistics awards pioneering work in statistical methodology. The prize recognizes statistical innovation—an outstanding contribution or tool that has had significant impact and found wide application in statistical practice.
The biennial Rousseeuw Prize for Statistics is awarded by the King Baudouin Foundation, a large public utility foundation in Belgium. The prize is named after its sponsor, the statistician Peter J. Rousseeuw, and focuses on the innovation, rather than on a single individual. One goal of awarding the people who created such an innovation is to promote awareness of the important role and intellectual content of statistics and its impact on human endeavors.
The first two prizes were awarded in 2022 and 2024, and the next will be awarded in 2026. The award amount is $1 million, to be split between awardees if there are several. The award ceremony will be scheduled for the fall of 2026.
For the purpose of the prize, statistics is defined as “the science and technology of obtaining useful information from data, taking its variability into account.” Statistical work in this sense can be found under such flags as artificial intelligence, big data, biometrics, chemometrics, classification, data analysis, data mining, data science, data visualization, design of experiments, econometrics, environmetrics, machine learning, multivariate analysis, pattern recognition, psychometrics, quality assurance, quantitative finance, sociometrics, statistical computing, statistical learning, technometrics, and time series analysis.
There is no time window for the work. Likewise, there is no age limit for awardees. The awardees must be living individuals, not organizations. If one of the main contributors is no longer alive, the surviving author(s) of the joint work can still be awarded. The deceased contributor(s) will, of course, be named explicitly.
The King Baudouin Foundation appoints an international jury consisting of 10 reputed statisticians. The jury will make a ranked shortlist of three innovations, in case some awardees do not accept the prize or are unwilling to be present at the award ceremony. To avoid undue pressure on the jury, its members are anonymous while they do their work.
The selection of the award aims for impartiality and balance. Members of the jury may not be related to the people on the shortlist by family ties, past or present life partnership, PhD adviser–student pairs, or being coauthors in the last 15 years. When selecting the award topic and awardees, the jury considers important contributions and contributors irrespective of gender, race, sexual orientation, ideology, or religion.
The 2022 prize went to James Robins, Andrea Rotnitzky, Miguel Hernan, Thomas Richardson, and Eric Tchetgen Tchetgen for causal inference with applications in medicine and public health, a topic in biostatistics. The 2024 prize was awarded to Yoav Benjamini, Daniel Yekutieli, and Ruth Heller for pioneering work on the false discovery rate and methods that control it, a topic of general statistical methodology.
In 2026, the prize can be awarded in any of the other three subfields of statistics: (1) computational statistics and data science; (2) statistics in the physical sciences and industry; and (3) statistics in economics and humanities. There are no geographical restrictions on where the work was carried out.
Nominations will propose a particular innovation and a list of awardees. When making this list, consider gender diversity when applicable. Self-nomination is not permitted. The award website has all information about the prize and nomination procedures. Nominations, including letters of recommendation, are to be submitted by February 28, 2026.
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