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Experiences and results from interdisciplinary collaboration: utilizing qualitative information to formulate disaster risk reduction measures for coastal regions

dc.contributor.authorMartinez, Grit
dc.contributor.authorArmaroli, Clara
dc.contributor.authorCostas, Susana
dc.contributor.authorHarley, Mitchell D.
dc.contributor.authorPaolisso, Michael
dc.date.accessioned2018-01-12T11:47:05Z
dc.date.available2019-10-01T00:30:09Z
dc.date.issued2017-10
dc.description.abstractThis paper illustrates both the potential and challenges of interdisciplinary collaboration amongst researchers from the social sciences/humanities and the natural sciences/engineering in formulating disaster risk reduction measures for coastal regions. The authors aim to share their experiences of working across different scientific and engineering disciplines in the EU project RISC-KIT to co-produce disaster risk reduction measures suitable for specific regional and local contexts, in this case two coastal study areas in Europe (Porto Garibaldi, Italy and Rio Formosa, Portugal). An overview of the historic-cultural origins of scientific disciplines is first presented, explaining the historical fragmentation of scientific knowledge into natural and social sciences and its associated challenges for prior disaster risk studies – and how the current state of an interdisciplinary approach has emerged. This is followed by an analysis of interdisciplinary collaboration, drawing on the experience and data collected (both quantitative and qualitative) from the two case study areas. The article concludes with suggestions to further overcome the segregation of disciplines within disaster risk studies and projects. The authors found that qualitative data help to understand knowledge, values and behaviours of institutional and non-institutional stakeholders in formulating appropriate risk reduction measures to increase resilience in a local context – and that such data work “hand in hand” with quantitative information. Furthermore, the collection of qualitative data by researchers of the natural science and engineering disciplines has the potential to build bridges between disciplines and to stimulate further investigations, as in this case, to explain contradictions in human behaviour when managing risk.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.doi10.1016/j.coastaleng.2017.09.010pt_PT
dc.identifier.issn0378-3839
dc.identifier.urihttp://hdl.handle.net/10400.1/10309
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationResilience-Increasing Strategies for Coasts - toolKIT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectInterdisciplinaritypt_PT
dc.subjectSocial science and humanitiespt_PT
dc.subjectTransdisciplinaritypt_PT
dc.subjectNatural science and engineeringpt_PT
dc.subjectDisaster risk reductionpt_PT
dc.subjectRia Formosapt_PT
dc.subjectRisk managementpt_PT
dc.subjectCoastal zonespt_PT
dc.subjectRisk perceptionpt_PT
dc.subjectEU floods directivept_PT
dc.subjectCulturept_PT
dc.subjectValuespt_PT
dc.subjectPorto Garibaldipt_PT
dc.titleExperiences and results from interdisciplinary collaboration: utilizing qualitative information to formulate disaster risk reduction measures for coastal regionspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResilience-Increasing Strategies for Coasts - toolKIT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/603458/EU
oaire.citation.titleCoastal Engineeringpt_PT
oaire.fundingStreamFP7
person.familyNameCostas
person.givenNameSusana
person.identifier1448818
person.identifier.ciencia-idAF19-9EEE-7550
person.identifier.orcid0000-0002-4005-077X
person.identifier.scopus-author-id9043656500
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication62d73183-10ba-42ca-80a7-458c42d1375b
relation.isAuthorOfPublication.latestForDiscovery62d73183-10ba-42ca-80a7-458c42d1375b
relation.isProjectOfPublication32d71a50-4c49-45ec-a98d-dee9226309ca
relation.isProjectOfPublication.latestForDiscovery32d71a50-4c49-45ec-a98d-dee9226309ca

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