Complexity Economics and Sustainable Development

A Computational Framework for Policy Priority Inference

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Author(s)
A. Guerrero, Omar
Castañeda, Gonzalo
Language
English
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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.
URI
https://doab-dev.siscern.org/handle/20.500.12854/208810
Keywords
Sustainable development goals; Complexity economics; Computational social science; Network science; Agent-based modelling; Data science; Public policy
DOI
10.1017/9781009022910
Webshop link
http://doi.org/10.1017/9781009 ...
ISBN
9781009022910, 978131651698097810090
Publisher
Cambridge University Press
Publication date and place
2024
Imprint
Social Sciences
Classification
Development economics and emerging economies
Pages
420
Rights
https://creativecommons.org/licenses/by-nc/4.0/
https://creativecommons.org/licenses/by-nc/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc/4.0/