CREST is a group of researchers with an interest in computational and mathematical methods for improving election security, integrity and trustworthiness.
Our work on risk limiting audits for Ranked Pairs elections has been accepted to the VOTING'23 workshop.
September 30, 2022Our work on using Dirichlet-Tree models for ballot-polling audits of IRV elections is being presented today at the first International Workshop on Election Infrastructure Security (EIS'22).
October 3-6, 2022It's time for the 8th International Joint Conference on Electronic Voting (EVOTE-ID'22)! Our team will be presenting work on initial steps toward using Dirichlet-Tree models for IRV post-election audits.