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Deploying digitalisation and artificial intelligence in sustainable development research

2023-05-15Journal article Restricted access
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dc.contributor.authorLeal Filho, Walter
dc.contributor.authorYang, Peter
dc.contributor.authorEustachio, João Henrique Paulino Pires
dc.contributor.authorAzul, Anabela Marisa
dc.contributor.authorGellers, Joshua C.
dc.contributor.authorGielczyk, Agata
dc.contributor.authorDinis, Maria Alzira Pimenta
dc.contributor.authorKozlova, Valerija
dc.date.accessioned2023-05-17T13:52:57Z
dc.date.available2023-05-17T13:52:57Z
dc.date.issued2023-05-15
dc.descriptionhttps://v2.sherpa.ac.uk/id/publication/15699pt_PT
dc.description.abstractMany industrialised countries have benefited from 21st century technologies, especially automation, which have fundamentally changed manufacturing and industrial production processes. The next step in the evolution of automation is the development of artificial intelligence (AI), i.e., intelligence demonstrated by machines and systems, which cannot only perform tasks but also work synergistically with humans and nature. Intelligent systems that can see, analyse situations and sensitively respond to real-time cues, from human gestures and facial expressions to pedestrians crossing a busy street, will reshape transportation, precision agriculture, biodiversity conservation, environmental modelling, public health, construction and manufacturing, as well as initiatives designed to promote prosperity on Earth. This paper explores the connections between AI systems and sustainable development (SD) research. It addresses a perceived research gap seen in respect of investigations examining the synergies among these topics. By means of an expert-driven literature review, bibliometric analysis, a world survey and a resulting set of relevant case studies, ways in which AI can support research on SD and, inter alia, contribute to a more sustainable and equitable world, are identified.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAPAth: Leal Filho, W., Yang, P., Eustachio, J. H. P. P., Azul, A. M., Gellers, J. C., Giełczyk, A., Dinis, M. A. P., & Kozlova, V. (2023). Deploying Digitalisation and Artificial Intelligence in Sustainable Development Research. Environment, Development and Sustainability, 25(6), 4957–4988. https://doi.org/10.1007/s10668-022-02252-3pt_PT
dc.identifier.doi10.1007/s10668-022-02252-3pt_PT
dc.identifier.eissn1573-2975
dc.identifier.issn1387-585X
dc.identifier.urihttp://hdl.handle.net/10284/11833
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10668-022-02252-3pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectCase studiespt_PT
dc.subjectDigitalisationpt_PT
dc.subjectSustainable development goalspt_PT
dc.subjectSustainable development researchpt_PT
dc.subjectWorld surveypt_PT
dc.titleDeploying digitalisation and artificial intelligence in sustainable development researchpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage4988pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage4957pt_PT
oaire.citation.titleEnvironment, Development and Sustainabilitypt_PT
oaire.citation.volume25pt_PT
person.familyNameDinis
person.givenNameMaria Alzira Pimenta
person.identifier493603
person.identifier.ciencia-id4710-147D-FDAF
person.identifier.orcid0000-0002-2198-6740
person.identifier.ridF-3309-2011
person.identifier.scopus-author-id55539804000
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1e85592a-e8e2-4aea-bd8e-1007c94388c0
relation.isAuthorOfPublication.latestForDiscovery1e85592a-e8e2-4aea-bd8e-1007c94388c0

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