Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/112996
Campo DCValorIdioma
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.accessioned2024-02-05T09:42:39Z-
dc.date.available2024-02-05T09:42:39Z-
dc.date.issued2023-
dc.identifier.issn1387-585X-
dc.identifier.issn1573-2975-
dc.identifier.urihttps://hdl.handle.net/10316/112996-
dc.description.abstractMany industrialised countries have benefited from the advent of twenty-first century technologies, especially automation, that 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 which is 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 respond sensitively 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. By means of a literature review, world survey, and 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
dc.language.isoengpt
dc.publisherSpringer Naturept
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectArtificial intelligencept
dc.subjectDigitalisationpt
dc.subjectSustainable development researchpt
dc.subjectSustainable Development Goalspt
dc.subjectWorld surveypt
dc.subjectCase studiespt
dc.titleDeploying digitalisation and artificial intelligence in sustainable development researchpt
dc.typearticlept
degois.publication.firstPage4957pt
degois.publication.lastPage4988pt
degois.publication.issue6pt
degois.publication.titleEnvironment, Development and Sustainabilitypt
dc.peerreviewedyespt
dc.identifier.doi10.1007/s10668-022-02252-3-
degois.publication.volume25pt
dc.date.embargo2023-01-01*
dc.identifier.pmid35313685-
uc.date.periodoEmbargo0pt
dc.identifier.eissn1573-2975-
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitCNC - Center for Neuroscience and Cell Biology-
crisitem.author.orcid0000-0003-3295-1284-
Aparece nas coleções:IIIUC - Artigos em Revistas Internacionais
I&D CNC - Artigos em Revistas Internacionais
I&D CIBB - Artigos em Revistas Internacionais
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