The New England Statistical Society (NESS) has created the Chernoff Excellence in Statistics Award to commemorate Herman Chernoff's outstanding, long-term contributions to the field of statistics. These contributions include work on large sample theory, experimental design, sequential analysis, methods of presenting statistical data in visual form, and statistical decision making.
The Chernoff Excellence in Statistics Awards is the most prestigious award bestowed by the NESS, given to an individual who, in the tradition of Herman Chernoff's work, has made exceptional contributions to the theory, methodology, or novel applications to statistics and/or data science. The award will be rewarded to one recipient every year at the New England Statistics Symposium, with travel expenses covered plus a minimum $500 honorarium. The 2023 award recipient was Professor Nan Laird, Harvard University.
Nominees who previously did not win will be carried forward for future consideration and, if they like, are allowed to update their submission.
Nominations for the award are to be submitted by January 15, 2024. The procedure for nominating an individual for the Chernoff Excellence in Statistics Award is as follows:
Learn more about the Chernoff Excellence in Statistics Award:
https://nestat.org/hcaward/.
Learn more about the NESS: https://nestat.org/.
Jim MacDougall
On behalf of the NESS Executive Committee
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James MacDougall
Biostatistician
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