Abstract for: Advanced data analytics for system dynamics models using PySD

The emerging field of data science has potential for great synergy with system dynamics modeling: system dynamics providing a causal structure for the interpretation of increasingly available social data, and this data helping to anchor and improve system dynamics practice and extend its applicability. PySD is a tool designed to facilitate the integration of system dynamics models and data science by bringing models created with traditional SD modeling platforms into the rapidly developing ecosystem of Python data science tools. This paper gives an overview of PySD’s purpose and capabilities, describes its technical construction, documents its primary functionality, and illustrates several use cases with simple examples.