Bailey Flanigan

Bailey Flanigan is an Assistant Professor at the Massachusetts Institute of Technology, with a shared appointment in Political Science. Flanigan holds the Theodore T. Miller (1922) Career Development Professor title and is affiliated with the Department of Computer Science. Their research focuses on AI and Society, Artificial Intelligence + Machine Learning, and Optimization and Game Theory. Flanigan's work explores the intersection of computational methods with societal impact, emphasizing ethical and policy considerations in AI development. Their profile page provides additional details on research and academic activities.

Bailey Flanigan is a researcher in theoretical computer science, focusing on algorithmic fairness, sortition, and social choice theory. Their work explores mechanisms for fair and transparent selection of citizens’ assemblies, addressing issues such as self-selection bias, manipulation, and distortion in participatory democracy. Flanigan also investigates the ethical implications of algorithmic decision-making in online platforms, including the impact of probabilistic feedback and reciprocity abuse on social media popularity. Their research emphasizes the development of robust, fair, and manipulation-resistant algorithms for social choice and participatory processes. By integrating theoretical computer science with social science, Flanigan aims to expand the toolkit for democratic participation through algorithmic and social innovation.