Leal Filho, WalterYang, PeterEustachio, João Henrique Paulino PiresAzul, Anabela MarisaGellers, Joshua C.Gielczyk, AgataDinis, Maria Alzira PimentaKozlova, Valerija2023-05-172023-05-172023-05-15APAth: 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/s10668-022-02252-31387-585Xhttp://hdl.handle.net/10284/11833https://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.engArtificial intelligenceCase studiesDigitalisationSustainable development goalsSustainable development researchWorld surveyDeploying digitalisation and artificial intelligence in sustainable development researchjournal article10.1007/s10668-022-02252-31573-2975