City-Level Digital Twins Require Co-Evolving Technical and Social Systems

Why It Matters

This insight is crucial for designers and engineers undertaking complex urban planning or infrastructure projects. It highlights that a digital twin is not merely a technical tool but a socio-technical system, requiring integrated planning for both its digital representation and the human governance structures that will interact with it.

Key Finding

Building a digital twin for an entire city is a complex, ongoing process that requires the technology and the human systems managing it to develop together. The digital twin can improve our understanding of cities, but it also needs to be integrated thoughtfully into how cities are governed.

Key Findings

• Digital twin development is a progressive process where technical and social systems must co-evolve.
• Existing knowledge of cities and infrastructure informs digital twin construction, while AI within the twin can generate new knowledge.
• Digital twins are not context-free technologies and require adaptation within existing governance systems.
• Insights and changes from a governance perspective are essential for purposeful digital twin applications.

Research Evidence

Aim: How can city-level digital twins be developed to ensure the co-evolution of their technical apparatus and the social systems that govern them?

Method: Case Study and Propositional Development

Procedure: The research reviewed existing digital twin progress, formulated six propositions for city-level digital twin development, and outlined a research plan for a pilot digital twin for the Cambridge sub-region to test these propositions.

Context: Urban Planning and Smart City Development

Design Principle

Socio-technical co-evolution is essential for the successful implementation of complex digital modelling systems in real-world contexts.

How to Apply

When proposing or developing a digital twin for a city, explicitly map out the parallel development paths for the digital model and the associated human governance, operational, and utilization strategies.

Limitations

The propositions are based on ongoing research and a single case study, requiring broader validation.

Student Guide (IB Design Technology)

Simple Explanation: Creating a digital model of a city isn't just about the computer program; it's also about how people will use it and make decisions with it. Both the technology and the human side need to grow and change together.

Why This Matters: Understanding that digital twins are socio-technical systems helps you design more effective and usable models that can actually be implemented and make a difference in real-world projects.

Critical Thinking: To what extent can a digital twin truly 'co-evolve' with a city's governance, or will the governance structure always dictate the pace and direction of the twin's development?

IA-Ready Paragraph: The development of city-level digital twins is a complex undertaking that requires a socio-technical approach, emphasizing the co-evolution of technical modelling capabilities and the human governance and operational systems that utilize them. As highlighted by research into urban digital twins, successful implementation is contingent upon integrating insights from governance perspectives and ensuring that the digital apparatus and its users develop in tandem to create purposeful applications.

Project Tips

• When designing a digital model, think about who will use it and how they will interact with it.
• Consider how the data from your model will influence decision-making processes.
• Plan for the ongoing maintenance and updates of both the model and the user training.

How to Use in IA

• Reference this study when discussing the importance of user engagement and governance in your digital modelling project.
• Use the concept of co-evolution to justify the need for iterative design and testing that involves human users.

Examiner Tips

• Demonstrate an understanding that digital twins are not purely technical artifacts but require consideration of their social and operational context.
• Show how your design process accounts for the iterative nature of developing complex digital models and their integration into existing systems.

Independent Variable: Development of technical digital twin apparatus, Development of social systems (governance, operation, use)

Dependent Variable: Effectiveness and purposefulness of the city-level digital twin application

Controlled Variables: Specific city context, existing infrastructure, available AI technologies

Strengths

• Addresses the critical socio-technical aspect of digital twin development, often overlooked in purely technical studies.
• Provides a framework (propositions) for approaching city-level digital twin projects.

Critical Questions

• What are the key indicators for successful co-evolution between a digital twin and its governing social system?
• How can the 'new knowledge' generated by AI within a digital twin be effectively integrated into existing urban planning frameworks without causing disruption?

Extended Essay Application

• An Extended Essay could explore the ethical implications of AI-generated knowledge within a city digital twin and how this might challenge or augment human decision-making in urban planning.
• Investigate the potential for digital twins to exacerbate or mitigate existing social inequalities within a city, focusing on the governance and access aspects.

Source

Developing a City-Level Digital Twin –Propositions and a Case Study · 2019 · 10.1680/icsic.64669.187