Casey investigates how group interactions with AI agents shape the formation of organizing structures, offering critical insights for organizations looking to deploy AI to facilitate collective action.
 

Through this research, Casey provides a comprehensive framework for understanding how communication technologies influence organizing strategies during crisis recovery.
 

Theoretically, her work bridges organizational and computer-mediated communication theories, particularly on collective action, technological affordances, and transactive memory systems. Methodologically, she utilizes advanced computational methods such as generative agent-based modeling, network analysis, and topic modeling.