Agent-based computing is a set of ideas and technologies in wide use today for modeling social processes, across a large number of fields, from anthropology to zoology, with thousands of papers utilizing the approach being published annually at present. Agent computing is a distinct and powerful way to build models with heterogeneous agents, grounded in behavioral science, who interact directly with one another through social networks and/or spatially, to generate far from equilibrium, social dynamics and macroscopic social regularities of fundamental interest. Such models are also critical as laboratories for the exploration and discovery of alternative public policies. The approach offers a low mathematical entry bar but an unlimited scientific ceiling to students and to educators at all levels. 
We invite submission of original research in any social science field—archaeology, business, criminology, demography, economics, finance, geography, history, informatics, linguistics, management, marketing, operations research, politics, public policy, sociology—or closely allied areas such as artificial life, cognitive science, conflict resolution, Earth systems science, energy and environmental systems, epidemiology, healthcare, information systems, infrastructure, medicine, military operations, multi-agent systems computer science, network science, public health, social media, transportation, urban systems, and beyond. 
We also invite submission of Hilbert problems for agent-based modeling, important open and outstanding foundational or applied questions or challenges that currently limit the broad application or widespread adoption of agent computing (e.g., efficient parallel execution). There will also be a poster session. Graduate students are encouraged to submit their work. We anticipate some travel scholarships for graduate students. Please submit your work by 1 September to Karen Underwood (kunderwo@gmu.edu). For more information please visit http://agentcongress.gmu.edu.