His research is situated at the intersection of geographic information science and computational science with particular emphasis in the areas of cyberGIS, data-intensive spatio-temporal analytics and modeling, and social media data analytics. To overcome computational challenges, he often employs CyberGIS—cyberinfrastructure-based geographic information systems—and supercomputer-based spatial modeling. Overall, his research aims to advance cyberGIS through foundational research, which is then applied in novel applications ranging from research in human origins to analyzing risk perception of disease outbreak and extreme weather events using social media. Dr. Shook teaches in the areas of geographic information science, geocomputing, and cyberGIS.