Potential and limitations of digital twins to achieve the Sustainable Development Goals

Tzachor, Asaf; Sabri, Soheil; Richards, Catherine E.; Rajabifard, Abbas; Acuto, Michele

doi:10.1038/s41893-022-00923-7

Record: found
Abstract: not found
Article: not found

Potential and limitations of digital twins to achieve the Sustainable Development Goals

Author(s): Asaf Tzachor , Soheil Sabri , Catherine E. Richards , Abbas Rajabifard , Michele Acuto

Publication date Created: October 2022

Publication date (Electronic): July 18 2022

Journal: Nature Sustainability

Publisher: Springer Science and Business Media LLC

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 53

Record: found
Abstract: not found
Article: not found

Digital Twin in Industry: State-of-the-Art

Fei Tao, He Qing Zhang, Ang Liu … (2019)

0 comments Cited 310 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: found

Mapping synergies and trade-offs between energy and the Sustainable Development Goals

Francesco Fuso Nerini, Julia Tomei, Long Seng To … (2018)

0 comments Cited 259 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: found

Is Open Access

The role of artificial intelligence in achieving the Sustainable Development Goals

Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite … (2020)

The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation process, we find that AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 targets. However, current research foci overlook important aspects. The fast development of AI needs to be supported by the necessary regulatory insight and oversight for AI-based technologies to enable sustainable development. Failure to do so could result in gaps in transparency, safety, and ethical standards.