For its third annual data science challenge, MinneAnalytics posed the problem of analyzing voter data ahead of the midterm elections. The project consisted of graduate students, undergraduates, and professionals in the field collecting and wrangling real-world data, conducting exploratory data analysis, and building an informed model to predict voter turnout across all federal elections in Minnesota, across district and across political party. Math graduate team Somyi Baek, Cora Brown, Sarah Milstein, and Michelle Pinharry won 2nd place and the Analytical Acumen Award in the graduate division. The faculty advisor of the team was Professor Gilad Lerman.
November 28, 2018