Complexity Economics and Sustainable Development : A Computational Framework for Policy Priority Inference

dc.contributor.author	A. Guerrero, Omar
dc.contributor.author	Castañeda, Gonzalo
dc.date.accessioned	2026-04-16T12:52:00Z
dc.date.available	2026-04-16T12:52:00Z
dc.date.issued	2024
dc.identifier	ONIX_20260416T142753_9781009022910_31
dc.identifier.uri	https://doab-dev.siscern.org/handle/20.500.12854/208810
dc.description.abstract	Provides 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.language	English
dc.subject.classification	thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
dc.subject.other	Sustainable development goals
dc.subject.other	Complexity economics
dc.subject.other	Computational social science
dc.subject.other	Network science
dc.subject.other	Agent-based modelling
dc.subject.other	Data science
dc.subject.other	Public policy
dc.title	Complexity Economics and Sustainable Development
dc.title.alternative	A Computational Framework for Policy Priority Inference
dc.type	book
oapen.identifier.doi	10.1017/9781009022910
oapen.relation.isPublishedBy	12615a55-20f1-4eb5-a6c9-5eb6541f63e5
oapen.relation.isbn	9781009022910
oapen.relation.isbn	978131651698097810090
oapen.imprint	Social Sciences
oapen.pages	420

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