Despite major statistical and methodological advances, the field is in need of new methodological tools that integrate existing and new research, at different levels of analysis, account for bi-directional feedback processes and address the complexity inherent in change that occurs throughout the lifespan. Systems science methodologies (including system dynamics, agent based modeling, network analysis, etc.) are well suited to such endeavors, but have yet to be harnessed to their full potential by developmental scientists.