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Working group in Complexity Economics at the Young Scholar Initiative

Complex systems science has revolutionized scientific fields from evolutionary biology to statistical mechanics, and economics is no exception. Where neoclassical economics emphasizes optimisation, equilibrium, and efficiency, complexity economics stresses adaptation, emergent properties, and robustness.

Some of the most important methods in the toolbox of complexity economics include agent-based modeling, network analysis, dynamical systems theory, and analytical methods borrowed from physics and evolutionary biology.

In the complexity economics working group we provide a platform for students and early stage researchers to learn and discuss methodology and insights from complexity economics and related fields.

Join the group to stay up to date with our events and projects, and if you have suggestions for projects please contact us!

Deadline30/08/2019 22:00

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