Bridging Science and Politics: An Interdisciplinary Framework for Analysing Uncertainty in Public Policy Decision-Making

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dc.catalogadorpau
dc.contributor.advisorManzi Astudillo, Jorge
dc.contributor.authorGonzález Larrondo, Trinidad
dc.contributor.otherPontificia Universidad Católica de Chile. Escuela de Psicología
dc.date.accessioned2025-10-21T14:48:14Z
dc.date.available2025-10-21T14:48:14Z
dc.date.issued2025
dc.date.updated2025-10-13T21:00:38Z
dc.descriptionTesis (Doctor of Psychology)--Pontificia Universidad Católica de Chile, 2025
dc.description.abstractThe doctoral thesis “Bridging Science and Politics: An Interdisciplinary Framework for Analysing Uncertainty in Public Policy Decision-Making” examines how scientific evidence is mobilised in policymaking under conditions of uncertainty. It argues that research on the science-policy interface remains fragmented because uncertainty is unevenly defined and operationalised across disciplines. The study’s overarching goal is to integrate political, methodological, and psychological dimensions of uncertainty to explain how evidence functions within decision-making processes. Grounded in a pragmatic paradigm and employing a sequential mixed-method design, the research combines conceptual, qualitative, and quantitative approaches. The empirical focus is Chile’s Law No. 20.903 on Teacher Professional Development. Three analytical strategies structure the work: (1) the Interdisciplinary Uncertainty Framework (IUF), developed through integrative review; (2) a qualitative case study using discourse and thematic analysis that integrates the Advocacy Coalition Framework (ACF) and the Social Identities in the Policy Process (SIPP) model; and (3) a mixed-method design combining qualitative coding with quantitative analyses such as Social Network Analysis, Advocacy Coalition Index, and moderation models. Findings show that evidence operates as a socially and symbolically mediated resource. The thesis demonstrates how interdisciplinary integration enables a multi-level analysis linking cognitive, structural, and behavioural dimensions of policymaking.
dc.fechaingreso.objetodigital2025-10-21
dc.format.extent265 páginas
dc.fuente.origenAutoarchivo
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/106285
dc.information.autorucEscuela de Psicología; González Larrondo, Trinidad; S/I; 236507
dc.information.autorucEscuela de Psicología; Manzi Astudillo, Jorge; 0000-0003-2324-7156; 100033
dc.language.isoen
dc.nota.accesocontenido completo
dc.rightsacceso abierto
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subjectInterdisciplinary Policy Analysis
dc.subjectPsychology
dc.subjectScience for Public Policy
dc.subjectEvidence-Based Policy Making
dc.subject.ddc150
dc.subject.deweyPsicologíaes_ES
dc.titleBridging Science and Politics: An Interdisciplinary Framework for Analysing Uncertainty in Public Policy Decision-Making
dc.typetesis doctoral
sipa.codpersvinculados236507
sipa.codpersvinculados100033
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