Computational modeling faces two major challenges. First, because modeling has demonstrated its value for relatively simple tasks, practitioners are asking for help with tasks in increasingly complex domains. Second, as international interchanges increase in importance, military, corporate, and humanitarian leaders urgently need to capture and better understand national and regional differences. Computational modeling promises to be a powerful tool for representing complex tasks and testing the validity of these representations. Models might also support decision aids and serve as platforms for training. It's time to extend modeling to better accommodate complexity and to include the variations in behavior, roles, values, and cognition that influence international interchange.