Modelling risk and risking models

The diffusive boundary between science and policy in volcanic risk management

Datos Bibliográficos

ID8942065
AutoresAmy R Donovan, Amy Donovan (0000-0003-3596-5294, University of Cambridge, autor de correspondencia), Clive Oppenheimer (0000-0003-4506-7260, University of Cambridge)
Año2014
Volumen58
Páginas153-165
Fecha de publicación2014-11-27
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaGeoforum (JOURNAL)
Identificadores de la revistaISSN: 0016-7185 • E-ISSN: 1872-9398
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.geoforum.2014.11.005
OpenAlexW2055712082
IdiomaEN
Citas recibidas9
Referencias citadas71

This article examines the science–policy interface in volcanic risk assessment. It analyses empirical data from research on Montserrat, where new volcanic risk assessment methodologies were pioneered. We discuss the ways in which these methods contributed towards the ordering of scientific advice in its geographical context, and we provide examples of the complex and overlapping topologies that are assembled in a volcanic eruption. In this case, the science–policy interface can be conceptualised as diffusive: both science and policy contain multiple overlapping networks of actors, objects and ideas that interact with one another through flows of responsibilities, attribution, identity and interpretation. Volcanic risk management involves negotiation of conceptual, relational and physical boundaries, and as a result requires the use of qualitative and quantitative methods across human and physical geography

Attribution · Context (archaeology · Data science · Economics · Environmental resource management · Geography · Interpretation (philosophy · Management · Management science · Negotiation · Political science · Risk management · Science policy · Social science · Sociology · Volcano · Computer Science · Disaster Management and Resilience · Engineering · Geology · Psychology · Public Administration · Risk Perception and Management · Social Psychology · Sustainability and Climate Change Governance