We consider the statistical inference for noisy incomplete binary (or 1-bit) matrix. Despite the importance of uncertainty quantification to matrix completion, most of the categorical matrix completion literature focuses on point estimation and prediction. This paper moves one step further toward the statistical inference for binary matrix…

Background: It has repeatedly been reported that, when making decisions under uncertainty, groups outperform individuals. Real groups are often replaced by simulated groups: Instead of performing an actual group discussion, individual responses are aggregated by a numerical computation. While studies have typically used unweighted majority voting…

The case for the use of simulations in political science seminars to provide illustrative learning of complex political process has been well demonstrated across a variety of sub-disciplines within political science. Their value to the teaching of European Union politics has also been explored and is particularly valuable for the EU's numerous…

Simulations offer opportunities for students to receive instruction in political strategies and practice developing political skills without the real-world consequences faced by policymakers. Budget simulations introduce students to collective action problems prevalent at all levels of American government and can be used in a variety of courses.…

This paper explores how PurpleState, a political simulation designed to foster skills and knowledge for informed civic participation, develops students' abilities to counter or resist the effects of political polarization and partisanship. Throughout the simulation, which has been implemented in Virginia and Wisconsin, students are asked to…