Historical election data, while publicly available, is not in a publicly accessible format that voters could easily find and understand. As part of the Data Science Institute's Data & Democracy research initiative, Data Science Clinic students Sally North, Lisa Singh, Klaudia Barbarossa, and Jacob Chui used Large Language Models to consolidate comprehensive election results in a repository that's available to the pub...
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