• 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.

Full reference:

Wernli, D. (2023). Fostering interdisciplinary collaboration in computational diplomacy: A multi-layered network approach to improve our understanding of institutional complexity and effective governance design. Journal of Computational Science, 72, 102096. https://doi.org/https://doi.org/10.1016/j.jocs.2023.102096