A number of related yet distinct subfields of GIScience associated with representing geographic dynamics have recently emerged. Researchers in spatio-temporal theory and data modeling, spatial process modeling, complex systems, and agent-based modeling all consider dynamic (or temporal) aspects of geographic phenomena germane to their respective specialty. Given this common ground, an obvious question arises as to the degree to which these communities have shared goals that might be forwarded through collaboration. In short, where might synergies or unique insights lie, and what redundant efforts might be streamlined? This short position paper looks at two research areas (and communities) that are the focus of this workshop: agent-based modeling and spatiotemporal data modeling. Agent-based modeling of complex systems Agent-based modeling is an active research area that continues to gain momentum. The software tools to support this type of modeling have come a long way both in terms of facilitating rapid model development as well as integrating models with GIS. The area also evolved from the start with a particular emphasis on explicit representation of space