4.7 Article

Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case

期刊

REMOTE SENSING
卷 13, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/rs13112119

关键词

digital ecosystem; digital twins; green deal data space; remote sensing; earth observation; system-of-systems engineering; metasystems; SDGs; interoperability science Paolo Tarolli

资金

  1. European Commission [DG CNECT: 35713]
  2. European Space Agency [4000123005/18/IT/CGD]

向作者/读者索取更多资源

The Digital Ecosystems (DEs) model is discussed as a framework for connecting and orchestrating online systems, infrastructures, and platforms to support the development of Digital Twins. Digital Twins help address global challenges and achieve sustainable development goals.
This manuscript discusses the key characteristics of the Digital Ecosystems (DEs) model, which, we argue, is particularly appropriate for connecting and orchestrating the many heterogeneous and autonomous online systems, infrastructures, and platforms that constitute the bedrock of a digitally transformed society. Big Data and AI systems have enabled the implementation of the Digital Twin paradigm (introduced first in the manufacturing sector) in all the sectors of society. DEs promise to be a flexible and operative framework that allow the development of local, national, and international Digital Twins. In particular, the Digital Twins of the Earth may generate the actionable intelligence that is necessary to address global change challenges, facilitate the European Green transition, and contribute to realizing the UN Sustainable Development Goals (SDG) agenda. The case of the Destination Earth initiative and system is discussed in the manuscript as an example to address the broader DE concepts. In respect to the more traditional data and information infrastructural philosophy, DE solutions present important advantages as to flexibility and viability. However, designing and implementing an effective collaborative DE is far more difficult than a traditional digital system. DEs require the definition and the governance of a metasystemic level, which is not necessary for a traditional information system. The manuscript discusses the principles, patterns, and architectural viewpoints characterizing a thriving DE supporting the generation and operation of Digital Twins of the Earth. The conclusions present a set of conditions, best practices, and base capabilities for building a knowledge framework, which makes use of the Digital Twin paradigm and the DE approach to support decision makers with the SDG agenda implementation.

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