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Understanding the dynamics of international collaboration requires robust, data driven-approaches to track how policymakers, actors and influencers respond to global challenges. This paper uses the world’s largest online database of policy documents to conduct a quantitative analysis of collaboration across international and regional institutions. By examining the metadata associated with each individual document, such as authoring body typology, citation networks and references to international agreements, shared goals and scholarly institutions, we provide a comprehensive picture of how political organizations affect policy changes during crises.
Our study employs network analysis and bibliometric techniques to explore how international institutions and policy actors interact. Our paper aims to identify clusters of collaboration centred on shared policy goals, as well as the characteristics of shared evidence use and inter-policy borrowing.
Our findings contribute new quantitative evidence to debates about how states and non-state actors craft joint solutions at the research-policy interface, in times of global crises. This study offers a novel data-driven perspective on international collaboration, demonstrating the value of large-scale policy document analysis for advancing both theoretical and practical understanding of global governance in the 21st century.