Sho Miyazaki is a Ph.D. student in Public Policy at Harvard University, with fields in American politics and political economy.
He studies voting and political representation, with a focus on how institutions and new technologies shape the choices voters make. His current work asks how to measure the political ideology of AI models and the slant of the online information they draw on, how online voting systems change voting behavior, and whether district maps favor those in power. He approaches these questions using statistical and game-theoretic methods. His paper on Japanese redistricting is forthcoming in Political Science Research and Methods.
Before Harvard, he was a predoctoral research fellow at Stanford Graduate School of Business and a visiting researcher at the Waseda Institute of Political Economy. He holds an LL.B. in Political Science from Keio University.