Abstract
While the study of global governance is moving from a focus on component-dominated to interaction-dominated systems, the present paper reviews development in governance theories from a complexity perspective and discuss how governance systems can be represented in terms of multi-layered networks. Such representation is useful to foster interdisciplinary collaborations between researchers working in global governance/international relations and data science/computational science. The combination of a data-driven approach with computational modelling paves the way to both contribute to a more fundamental understanding of how multilateral governance systems work and to address some important contemporary questions about institutional complexity and the effectiveness of governance design.
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