Bailey Flanigan
Assistant Professor of Political Science and Computer Science
Formal methods, sampling methods, deliberation and deliberative democracy, public opinion measurement and preference elicitation, and design of democratic processes (e.g., voting systems, participatory budgeting, deliberative mini-publics, democratic inputs to algorithms, etc.). My core methods include algorithms, learning theory, statistics and probability, machine learning, social choice theory, and survey research.
Biography
Bailey is an assistant professor in MIT's political science and computer science departments. During the 2024-2025 academic year, she was a postdoctoral fellow at the Harvard Data Science Institute & Harvard Ash Center. Before that, she received her PhD in computer science in 2024 from Carnegie Mellon University. In her research, she uses computer scientific techniques to study political methodology, formal theory, and substantive applications related to the design of democratic processes.
Biography
Bailey is an assistant professor in MIT's political science and computer science departments. During the 2024-2025 academic year, she was a postdoctoral fellow at the Harvard Data Science Institute & Harvard Ash Center. Before that, she received her PhD in computer science in 2024 from Carnegie Mellon University. In her research, she uses computer scientific techniques to study political methodology, formal theory, and substantive applications related to the design of democratic processes.