Public policy modeling and applications

Autores
Fuentes, Miguel Angel; Tessone, Claudio Juan; Furtado, Bernardo A.
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Two expected results of public policies are fostering economic development and show adaptive capacity in case of disruptions. e latter is linked to the concept of resilience. In the research paper by G. Castañeda and O. A. Guerrero, the Resilience of Public Policies in Economic Development, the authors analyze how the adaptive capacity of the policy- making process generates resilience in the face of disruptions. Further, they develop a computational model, which takes into account different social mechanisms (coevolutionary learning and complex interaction networks) to compute a resilience score against simulated disruptions to the expected evolution. Interestingly, they show that certain policy issues are resilient and others fragile, depending on the context of application.
Fil: Fuentes, Miguel Angel. Universidad San Sebastián; Chile. 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
Fil: Tessone, Claudio Juan. Universitat Zurich; Suiza
Fil: Furtado, Bernardo A.. Institute for Applied Economic Research; Brasil
Materia
Complexity
Public Policy
Mathematical Methods
Emergence
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/124454
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Public policy modeling and applicationsFuentes, Miguel AngelTessone, Claudio JuanFurtado, Bernardo A.ComplexityPublic PolicyMathematical MethodsEmergencehttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Two expected results of public policies are fostering economic development and show adaptive capacity in case of disruptions. e latter is linked to the concept of resilience. In the research paper by G. Castañeda and O. A. Guerrero, the Resilience of Public Policies in Economic Development, the authors analyze how the adaptive capacity of the policy- making process generates resilience in the face of disruptions. Further, they develop a computational model, which takes into account different social mechanisms (coevolutionary learning and complex interaction networks) to compute a resilience score against simulated disruptions to the expected evolution. Interestingly, they show that certain policy issues are resilient and others fragile, depending on the context of application.Fil: Fuentes, Miguel Angel. Universidad San Sebastián; Chile. 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; ArgentinaFil: Tessone, Claudio Juan. Universitat Zurich; SuizaFil: Furtado, Bernardo A.. Institute for Applied Economic Research; BrasilJohn Wiley & Sons Inc2019-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/124454Fuentes, Miguel Angel; Tessone, Claudio Juan; Furtado, Bernardo A.; Public policy modeling and applications; John Wiley & Sons Inc; Complexity; 2019; 1-2019; 1-51076-27871099-0526CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1155/2019/4128703info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/complexity/2019/4128703/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-05-13T11:21:50Zoai:ri.conicet.gov.ar:11336/124454instacron: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 11:21:51.036CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Public policy modeling and applications
title Public policy modeling and applications
spellingShingle Public policy modeling and applications
Fuentes, Miguel Angel
Complexity
Public Policy
Mathematical Methods
Emergence
title_short Public policy modeling and applications
title_full Public policy modeling and applications
title_fullStr Public policy modeling and applications
title_full_unstemmed Public policy modeling and applications
title_sort Public policy modeling and applications
dc.creator.none.fl_str_mv Fuentes, Miguel Angel
Tessone, Claudio Juan
Furtado, Bernardo A.
author Fuentes, Miguel Angel
author_facet Fuentes, Miguel Angel
Tessone, Claudio Juan
Furtado, Bernardo A.
author_role author
author2 Tessone, Claudio Juan
Furtado, Bernardo A.
author2_role author
author
dc.subject.none.fl_str_mv Complexity
Public Policy
Mathematical Methods
Emergence
topic Complexity
Public Policy
Mathematical Methods
Emergence
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Two expected results of public policies are fostering economic development and show adaptive capacity in case of disruptions. e latter is linked to the concept of resilience. In the research paper by G. Castañeda and O. A. Guerrero, the Resilience of Public Policies in Economic Development, the authors analyze how the adaptive capacity of the policy- making process generates resilience in the face of disruptions. Further, they develop a computational model, which takes into account different social mechanisms (coevolutionary learning and complex interaction networks) to compute a resilience score against simulated disruptions to the expected evolution. Interestingly, they show that certain policy issues are resilient and others fragile, depending on the context of application.
Fil: Fuentes, Miguel Angel. Universidad San Sebastián; Chile. 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
Fil: Tessone, Claudio Juan. Universitat Zurich; Suiza
Fil: Furtado, Bernardo A.. Institute for Applied Economic Research; Brasil
description Two expected results of public policies are fostering economic development and show adaptive capacity in case of disruptions. e latter is linked to the concept of resilience. In the research paper by G. Castañeda and O. A. Guerrero, the Resilience of Public Policies in Economic Development, the authors analyze how the adaptive capacity of the policy- making process generates resilience in the face of disruptions. Further, they develop a computational model, which takes into account different social mechanisms (coevolutionary learning and complex interaction networks) to compute a resilience score against simulated disruptions to the expected evolution. Interestingly, they show that certain policy issues are resilient and others fragile, depending on the context of application.
publishDate 2019
dc.date.none.fl_str_mv 2019-01
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/11336/124454
Fuentes, Miguel Angel; Tessone, Claudio Juan; Furtado, Bernardo A.; Public policy modeling and applications; John Wiley & Sons Inc; Complexity; 2019; 1-2019; 1-5
1076-2787
1099-0526
CONICET Digital
CONICET
url http://hdl.handle.net/11336/124454
identifier_str_mv Fuentes, Miguel Angel; Tessone, Claudio Juan; Furtado, Bernardo A.; Public policy modeling and applications; John Wiley & Sons Inc; Complexity; 2019; 1-2019; 1-5
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/10.1155/2019/4128703
info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/complexity/2019/4128703/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons Inc
publisher.none.fl_str_mv John Wiley & Sons Inc
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
_version_ 1865200870987137024
score 12.604774

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