Professors Jeff Gill and George Casella (University of Florida) have received a National Science Foundation grant for a project titled, “Collaborative Research: Identifying Structure in Social Data Models using Markov Chain Monte Carlo Algorithms”. This project will address some of the difficulties associated with social science data collection and analysis (e.g. measurement error, concealment of information) by improving the current state of model-based clustering algorithms using Generalized Linear Mixed Dirichlet Models (GLMDM). Key objectives include better understanding or unobserved clustering effects that are pervasive in social science datasets, notably with empirical studies of terrorism, and adapting GLMDM algorithms to provide substantive clusters of interest through posterior probabilities using covariate information.