Deploying digitalisation and artificial intelligence in sustainable development research

Detalhes bibliográficos
Autor(a) principal: Leal Filho, Walter
Data de Publicação: 2023
Outros Autores: Yang, Peter, Eustachio, João Henrique Paulino Pires, Azul, Anabela Marisa, Gellers, Joshua C., Gielczyk, Agata, Dinis, Maria Alzira Pimenta, Kozlova, Valerija
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10284/11833
Resumo: https://v2.sherpa.ac.uk/id/publication/15699
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spelling Deploying digitalisation and artificial intelligence in sustainable development researchArtificial intelligenceCase studiesDigitalisationSustainable development goalsSustainable development researchWorld surveyhttps://v2.sherpa.ac.uk/id/publication/15699Many 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.Springer NatureRepositório Institucional da Universidade Fernando PessoaLeal Filho, WalterYang, PeterEustachio, João Henrique Paulino PiresAzul, Anabela MarisaGellers, Joshua C.Gielczyk, AgataDinis, Maria Alzira PimentaKozlova, Valerija2023-05-17T13:52:57Z2023-05-152023-05-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/11833engAPAth: 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/s10668-022-02252-31387-585X10.1007/s10668-022-02252-31573-2975metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-23T02:01:29Zoai:bdigital.ufp.pt:10284/11833Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:54:18.431994Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Deploying digitalisation and artificial intelligence in sustainable development research
title Deploying digitalisation and artificial intelligence in sustainable development research
spellingShingle Deploying digitalisation and artificial intelligence in sustainable development research
Leal Filho, Walter
Artificial intelligence
Case studies
Digitalisation
Sustainable development goals
Sustainable development research
World survey
title_short Deploying digitalisation and artificial intelligence in sustainable development research
title_full Deploying digitalisation and artificial intelligence in sustainable development research
title_fullStr Deploying digitalisation and artificial intelligence in sustainable development research
title_full_unstemmed Deploying digitalisation and artificial intelligence in sustainable development research
title_sort Deploying digitalisation and artificial intelligence in sustainable development research
author Leal Filho, Walter
author_facet Leal Filho, Walter
Yang, Peter
Eustachio, João Henrique Paulino Pires
Azul, Anabela Marisa
Gellers, Joshua C.
Gielczyk, Agata
Dinis, Maria Alzira Pimenta
Kozlova, Valerija
author_role author
author2 Yang, Peter
Eustachio, João Henrique Paulino Pires
Azul, Anabela Marisa
Gellers, Joshua C.
Gielczyk, Agata
Dinis, Maria Alzira Pimenta
Kozlova, Valerija
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Institucional da Universidade Fernando Pessoa
dc.contributor.author.fl_str_mv Leal Filho, Walter
Yang, Peter
Eustachio, João Henrique Paulino Pires
Azul, Anabela Marisa
Gellers, Joshua C.
Gielczyk, Agata
Dinis, Maria Alzira Pimenta
Kozlova, Valerija
dc.subject.por.fl_str_mv Artificial intelligence
Case studies
Digitalisation
Sustainable development goals
Sustainable development research
World survey
topic Artificial intelligence
Case studies
Digitalisation
Sustainable development goals
Sustainable development research
World survey
description https://v2.sherpa.ac.uk/id/publication/15699
publishDate 2023
dc.date.none.fl_str_mv 2023-05-17T13:52:57Z
2023-05-15
2023-05-15T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10284/11833
url http://hdl.handle.net/10284/11833
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv APAth: 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/s10668-022-02252-3
1387-585X
10.1007/s10668-022-02252-3
1573-2975
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dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
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