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The Sustainable Development Goals are global objectives set by the UN. They cover fundamental issues in development such as poverty, education, economic growth, and climate. Despite growing data across policy dimensions, popular statistical approaches offer limited solutions as these datasets are not big or detailed enough to meet their technical requirements. Complexity Economics and Sustainable Development provides a novel framework to handle these challenging features, suggesting that complexity science, agent-based modelling, and computational social science can overcome these limitations. Building on interdisciplinary socioeconomic theory, it provides a new framework to quantify the link between public expenditure and development while accounting for complex interdependencies and public governance. Accompanied by comprehensive data of worldwide development indicators and open-source code, it provides a detailed construction of the analytic toolkit, familiarising readers with a diverse set of empirical applications and drawing policy implications that are insightful to a diverse readership.
Author Biography
Omar A. Guerrero is the Head of Computational Social Science Research at The Alan Turing Institute, London. He was an Oxford Martin Fellow at the University of Oxford and a Senior Research Fellow at the University College London, as well as consulted for governmental bodies and international organisations. Gonzalo Castañeda is professor in Economics at CIDE, Mexico City. He has been a visiting scholar in various universities and research centres in the US and Europe. His previous research includes the book: The Paradigm of Social Complexity, which covers diverse approaches to economic thinking and modelling.
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