Policy Modeling and Applications: State-of-the-Art and Perspectives

Autores
Furtado, Bernardo A.; Fuentes, Miguel Angel; Tessone, Claudio Juan
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The range of application of methodologies of complexity science, interdisciplinary by nature, has spread even more broadly across disciplines after the dawn of this century. Specifically, applications to public policy and corporate strategies have proliferated in tandem. This paper reviews the most used complex systems methodologies with an emphasis on public policy. We briefly present examples, pros, and cons of agent-based modeling, network models, dynamical systems, data mining, and evolutionary game theory. Further, we illustrate some specific experiences of large applied projects in macroeconomics, urban systems, and infrastructure planning. We argue that agent-based modeling has established itself as a strong tool within scientific realm. However, adoption by policy-makers is still scarce. Considering the huge amount of exemplary, successful applications of complexity science across the most varied disciplines, we believe policy is ready to become an actual field of detailed and useful applications.
Fil: Furtado, Bernardo A.. Institute for Applied Economic Research; Brasil. Conselho Nacional de Desenvolvimento Científico e Tecnológico; Brasil
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina. Universidad San Sebastián; Chile
Fil: Tessone, Claudio Juan. Universitat Zurich; Suiza
Materia
PUBLIC POLICY
MATHEMATICAL MODELLING
COMPLEXITY
NON LINEAR SCIENCE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/122796
Acceder
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spelling Policy Modeling and Applications: State-of-the-Art and PerspectivesFurtado, Bernardo A.Fuentes, Miguel AngelTessone, Claudio JuanPUBLIC POLICYMATHEMATICAL MODELLINGCOMPLEXITYNON LINEAR SCIENCEhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The range of application of methodologies of complexity science, interdisciplinary by nature, has spread even more broadly across disciplines after the dawn of this century. Specifically, applications to public policy and corporate strategies have proliferated in tandem. This paper reviews the most used complex systems methodologies with an emphasis on public policy. We briefly present examples, pros, and cons of agent-based modeling, network models, dynamical systems, data mining, and evolutionary game theory. Further, we illustrate some specific experiences of large applied projects in macroeconomics, urban systems, and infrastructure planning. We argue that agent-based modeling has established itself as a strong tool within scientific realm. However, adoption by policy-makers is still scarce. Considering the huge amount of exemplary, successful applications of complexity science across the most varied disciplines, we believe policy is ready to become an actual field of detailed and useful applications.Fil: Furtado, Bernardo A.. Institute for Applied Economic Research; Brasil. Conselho Nacional de Desenvolvimento Científico e Tecnológico; BrasilFil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina. Universidad San Sebastián; ChileFil: Tessone, Claudio Juan. Universitat Zurich; SuizaHindawi Publishing Corporation2019-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/122796Furtado, Bernardo A.; Fuentes, Miguel Angel; Tessone, Claudio Juan; Policy Modeling and Applications: State-of-the-Art and Perspectives; Hindawi Publishing Corporation; Complexity; 2019; 2-2019; 1-11; 50416811076-27871099-0526CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1155/2019/5041681info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/complexity/2019/5041681/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-05-13T10:41:56Zoai:ri.conicet.gov.ar:11336/122796instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-05-13 10:41:56.842CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Policy Modeling and Applications: State-of-the-Art and Perspectives
title Policy Modeling and Applications: State-of-the-Art and Perspectives
spellingShingle Policy Modeling and Applications: State-of-the-Art and Perspectives
Furtado, Bernardo A.
PUBLIC POLICY
MATHEMATICAL MODELLING
COMPLEXITY
NON LINEAR SCIENCE
title_short Policy Modeling and Applications: State-of-the-Art and Perspectives
title_full Policy Modeling and Applications: State-of-the-Art and Perspectives
title_fullStr Policy Modeling and Applications: State-of-the-Art and Perspectives
title_full_unstemmed Policy Modeling and Applications: State-of-the-Art and Perspectives
title_sort Policy Modeling and Applications: State-of-the-Art and Perspectives
dc.creator.none.fl_str_mv Furtado, Bernardo A.
Fuentes, Miguel Angel
Tessone, Claudio Juan
author Furtado, Bernardo A.
author_facet Furtado, Bernardo A.
Fuentes, Miguel Angel
Tessone, Claudio Juan
author_role author
author2 Fuentes, Miguel Angel
Tessone, Claudio Juan
author2_role author
author
dc.subject.none.fl_str_mv PUBLIC POLICY
MATHEMATICAL MODELLING
COMPLEXITY
NON LINEAR SCIENCE
topic PUBLIC POLICY
MATHEMATICAL MODELLING
COMPLEXITY
NON LINEAR SCIENCE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The range of application of methodologies of complexity science, interdisciplinary by nature, has spread even more broadly across disciplines after the dawn of this century. Specifically, applications to public policy and corporate strategies have proliferated in tandem. This paper reviews the most used complex systems methodologies with an emphasis on public policy. We briefly present examples, pros, and cons of agent-based modeling, network models, dynamical systems, data mining, and evolutionary game theory. Further, we illustrate some specific experiences of large applied projects in macroeconomics, urban systems, and infrastructure planning. We argue that agent-based modeling has established itself as a strong tool within scientific realm. However, adoption by policy-makers is still scarce. Considering the huge amount of exemplary, successful applications of complexity science across the most varied disciplines, we believe policy is ready to become an actual field of detailed and useful applications.
Fil: Furtado, Bernardo A.. Institute for Applied Economic Research; Brasil. Conselho Nacional de Desenvolvimento Científico e Tecnológico; Brasil
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina. Universidad San Sebastián; Chile
Fil: Tessone, Claudio Juan. Universitat Zurich; Suiza
description The range of application of methodologies of complexity science, interdisciplinary by nature, has spread even more broadly across disciplines after the dawn of this century. Specifically, applications to public policy and corporate strategies have proliferated in tandem. This paper reviews the most used complex systems methodologies with an emphasis on public policy. We briefly present examples, pros, and cons of agent-based modeling, network models, dynamical systems, data mining, and evolutionary game theory. Further, we illustrate some specific experiences of large applied projects in macroeconomics, urban systems, and infrastructure planning. We argue that agent-based modeling has established itself as a strong tool within scientific realm. However, adoption by policy-makers is still scarce. Considering the huge amount of exemplary, successful applications of complexity science across the most varied disciplines, we believe policy is ready to become an actual field of detailed and useful applications.
publishDate 2019
dc.date.none.fl_str_mv 2019-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/122796
Furtado, Bernardo A.; Fuentes, Miguel Angel; Tessone, Claudio Juan; Policy Modeling and Applications: State-of-the-Art and Perspectives; Hindawi Publishing Corporation; Complexity; 2019; 2-2019; 1-11; 5041681
1076-2787
1099-0526
CONICET Digital
CONICET
url http://hdl.handle.net/11336/122796
identifier_str_mv Furtado, Bernardo A.; Fuentes, Miguel Angel; Tessone, Claudio Juan; Policy Modeling and Applications: State-of-the-Art and Perspectives; Hindawi Publishing Corporation; Complexity; 2019; 2-2019; 1-11; 5041681
1076-2787
1099-0526
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1155/2019/5041681
info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/complexity/2019/5041681/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Hindawi Publishing Corporation
publisher.none.fl_str_mv Hindawi Publishing Corporation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.115601

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