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Complexity Economics and Sustainable Development

A Computational Framework for Policy Priority Inference

dc.contributor.authorA. Guerrero, Omar
dc.contributor.authorCastañeda, Gonzalo
dc.date.accessioned2026-04-16T12:52:00Z
dc.date.available2026-04-16T12:52:00Z
dc.date.issued2024
dc.identifierONIX_20260416T142753_9781009022910_31
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/208810
dc.description.abstractProvides a novel framework for overcoming analytical challenges in sustainable development. It walks the reader through an analytic toolkit and familiarises them with a diverse set of empirical applications. Audience includes academics from development economics, policy sciences, computational social science, and complexity science. This title is also available as open access on Cambridge Core.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
dc.subject.otherSustainable development goals
dc.subject.otherComplexity economics
dc.subject.otherComputational social science
dc.subject.otherNetwork science
dc.subject.otherAgent-based modelling
dc.subject.otherData science
dc.subject.otherPublic policy
dc.titleComplexity Economics and Sustainable Development
dc.title.alternativeA Computational Framework for Policy Priority Inference
dc.typebook
oapen.identifier.doi10.1017/9781009022910
oapen.relation.isPublishedBy12615a55-20f1-4eb5-a6c9-5eb6541f63e5
oapen.relation.isbn9781009022910
oapen.relation.isbn978131651698097810090
oapen.imprintSocial Sciences
oapen.pages420


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