Introduction to Digital Twins

This chapter delves into the concept of digital twins and highlights their three main components: physical environment, virtual environment, and infrastructure for tailoring the two. Furthermore, the chapter discusses the evolution of digital twins, including their applications in various domains such as finance, health, infrastructure development, and socioeconomic development. It emphasizes the significance of digital twin development approaches, including the model-driven engineering perspective and the digital twin system of systems (SoSDT) approach, which aim to enhance decision-making, interoperability, and autonomy. Additionally, the chapter explores digital twin application areas, such as smart cities, healthcare, supply chains, and transportation, showcasing the transformative potential of digital twins in these domains. Furthermore, it underlines the importance of considering digital twins in the institutional context, emphasizing public value creation, data governance, ethical considerations, and clear lines of accountability. The chapter also addresses the need for developing digital twin skillsets and education, outlining collaboration opportunities between universities, colleges, and digital twin solution providers. The challenges associated with implementing digital twin education are also highlighted, including the lack of expertise in universities and potential pushback from students. Lastly, the chapter discusses digital twin technologies’ integrative and transformative role, emphasizing the need for a paradigm shift in digital systems engineering and application. It underscores the significance of whole life-cycle management and the convergence of expertise and technology in shaping the future of digital twins. The document also recognizes the pivotal role of industry collective efforts, such as the Digital Twin Consortium, in guiding technological integration and professional expertise across various domain applications.