What do you think about mathematical modelling of ‘wicked’ or complex problems? Formal modelling, such as mathematical modelling or computational modelling, is sometimes seen as reductionist, prescriptive and misleading. Whether it actually is depends on why and how modelling is used.
Here I explore four main reasons for modelling, drawing on the work of Brugnach et al. (2008):
Can we help the next generation of policy makers, business leaders and citizens to become creative, critical and independent thinkers? Can we make them aware of the nature of the problems they will be confronted with? Can we strengthen their capacity to foster and lead stakeholder processes to address these problems?
How do we know when we have good answers to research questions, especially about wicked problems?
Simply and profoundly, we seek answers that make good sense. Every formal method, framework, or theory exists, in the end, to help us gain insight into a mystery. When researching wicked problems, choosing methods, frameworks, and theories should not be guided by tradition or disciplinary standards. Instead, our design choices need to consider more fundamental justifications that cut across disciplinary boundaries. A fundamental criterion for good research is that it makes good sense. By making this criterion our “true North” in wicked problems research, we can more easily find and justify integrating disciplinary (or cultural, or professional) perspectives that apply to a particular problem.