Agent-Based Model Development

The Spatial Analysis Services unit has been developing spatially explicit agent-based models (ABM) for over a decade. These socio-economic and demographic representations of study communities serve as ideal digital laboratories for replicating and manipulating social environments to better understand decision-making, system-wide feedback mechanisms, and system-level emergent properties that stem from the interaction of individual agents. Repast ABM example

Agent-based models can be applied to many different aspects of population research, such as:

  • relationships between population, land use, climate change and governmental policies
  • health care accessibility and use
  • the effects of urban or neighborhood design on physical activity
  • economic behavior
  • and more

Spatial Analysis Services staff can assist you with designing and building a model to help answer your research questions. If you are interested in incorporating agent-based models into your research, please contact  and schedule a consultation.

NetLogo ABM example

If you would like to build your own ABM for population research, please visit the CPC Agent Based Modeling Tools page for code examples of common demographic processes.

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