Casey conducts research on multiple public policy and political behavior problems, resulting in more than 70 conference papers and scholarly publications.
His research programme is designed for furthering our understanding of group dynamics, from the small group to the nation-state level. For that purpose, his primary methodological approaches marry contagion and infection models from the Public Health arena with time series, Q/Fuzzy-sets, and non-normal and non-parametric methodologies. Primarily focused on how the ideas of revolution, terrorism, and civil violence spread and are accepted or rejected, his expertise in modelling the spread of ideas is noted internationally.
Casey has also been active in ongoing research critiquing for improvement and advancements in large-n time series and trend analyses. His contributions are evident in his participation in the Cooperative Campaign Analysis Project (CCAP), the British Election Study (BES) and associated YouGov data, the Comparative Study of Electoral Systems (CSES), EuroBarometer, and European Social Survey (ESS) data, and recently the American National Election Study (ANES) and the Internet Rolling Campaign Panel (IRCP) data sets.