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Majority Judgment has been proposed by Balinski and Laraki as a way to avoid Arrow’s theorem, attenuate strategic voting, and enable voters to better express themselves, as they are asked to give a grade from a predetermined list (e.g., Excellent, Good, Average…) to each candidate, and not a ranking. Initially proposed for the political and competitive domains (e.g. wine tasting, sports judging), it could also be applied to science and expertise.
Wednesday September 9th
14:00-15:15 Rida Laraki, UM6P, Morocco,
“Majority Judgment: Foundations, Advances, and Perspectives”
15:30-16:45 Issam Aldahman, Ruhr-University Bochum, Germany,
“An Agent-based model of the Aggregation of Qualitative Expert Grading”
Thursday September 10th
9:15-10:30 Thomas Boyer-Kassem Université de Poitiers, France
“Aggregating expertise on multiple criteria, with Majority Judgment”
10:45-12:00 Michael Morreau, The Arctic University of Norway
“Truth in Grading: some lessons from grant review and avalanche-danger forecasting”
Attendance is free. If you wish to attend online, please write to thomas.boyer.kassem@univ-poitiers.fr to get a link.
Organization. Thomas Boyer-Kassem (Université de Poitiers, France), thomas.boyer.kassem@univ-poitiers.fr. Funded by Thomas’s Junior Institut Universitaire de France Chair and ANR-DFG project QUALIGRASCI (project ANR-25-FRAL-0009-01).