Abstract
In this chapter, we provide readers with the first formal overview of case-based complexity science and its related methodology, case-based modeling.Case-based modeling, championed largely by [1], constitutes a fifth major method for modeling complex systems, offering itself as an alternative to (and also integration of) agent (rule-based) modeling, dynamical (equation-based) modeling, qualitative (idiographic) modeling, and statistical (aggregate-based) modeling. For us, as medical sociologists, case-based modeling makes sense because, fundamentally, medicine is about the case. Case-based modeling also resonates with our particular practice of acase-based complexity science, which can be defined as a generalist approach, grounded in the epistemological perspectives of Byrne’s complex realism—which we explain later.
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