The push for digital twins in the built environment is sold as resilience. The UF College of Design, Construction and Planning frames the technology as a way to build more resilient environments, and Dr. Changjie Chen has presented on “Demystifying Digital Twins for Building Resilient Environments” at the college’s FIBER Optics Friday series. Resilience is the sell. Control is the product. Whoever owns the digital twin owns the single source of truth for the building, the city, or the grid. Vendors and governments are the ones who gain that control.
Resilience Is the Pitch; Data Control Is the Outcome
The UF College of Design, Construction and Planning is leading the University of Florida’s digital twin efforts. Chen, an Assistant Scientist in the Department of Urban and Regional Planning, has described digital twin development as a “paradigm shift” and a real, established field rather than a buzzword. The college is helping build digital twins for Jacksonville that model tens of thousands of buildings to identify flood risk and links between health, hazards and housing, as reported on the college’s news site. The UK’s National Digital Twin Programme, run by the Department for Business and Trade, holds what it calls a “unique and authoritative position” in advancing digital twinning across the United Kingdom, effectively acting as a government single source of truth for policy and strategy. Once the twin is the authoritative model, the institution or vendor that hosts it controls how the data is used, who gets access, and how resilience is defined. The UF College of Design, Construction and Planning and similar institutions are central to normalising that shift.
Research in the built environment and energy sector backs the critique. A 2025 study in Energy Research & Social Science on UK energy governance found that hype around digital twins both mobilises stakeholders and conceals critical issues: political and economic implications of new data arrangements stay hidden beneath technical talk about bias and accuracy. Governance concerns include transparent procurement, public engagement in grid upgrades, and who pays for public IT. Elsewhere, commentators have warned of “geo-algorithmic inequality”: prediction through modelling drives capital allocation and strategic decisions by banks, insurers and infrastructure consortia, while large regions remain invisible in major digital twin models and are bypassed in investment and resilience planning. Resilience rhetoric does not answer who benefits when one platform becomes the single source of truth.
What This Actually Means
Digital twins in the built environment are less about resilience and more about who controls the data. The technology enables a single, authoritative digital replica of a building, city or network; that replica is then used for simulation, monitoring and planning. The entity that owns or operates the twin decides what gets modelled, who gets access, and how “resilience” is measured. Universities and government programmes, including the UF College of Design, Construction and Planning and the UK National Digital Twin Programme, are legitimising that model. The real product is not resilience in the abstract; it is control over the representation of the built environment.
What Is a Digital Twin?
A digital twin is a digital model of a real-world physical product, system or process that acts as a counterpart for simulation, integration, testing, monitoring and maintenance. In the built environment, digital twins often combine building information modelling (BIM), sensors, and geographic and operational data to create a virtual replica of a structure or city. Organisations such as the UF College of Design, Construction and Planning use them to model flood risk, infrastructure interdependencies and climate impacts. Critics argue that the same technology concentrates data and decision-making power in the hands of the organisations that build and run the twins, turning resilience into a question of who controls the single source of truth.
In practice, the shift towards digital twins in cities and infrastructure raises questions that resilience framing often sidesteps. Who decides which buildings or neighbourhoods get modelled in detail? Who has access to the resulting data, and for what purposes? The E-International Relations analysis of geo-algorithmic inequality and the Energy Research & Social Science study both suggest that without transparent governance and broad public input, digital twin programmes can entrench existing power imbalances rather than distribute resilience fairly. The technology is real and increasingly deployed; the open question is whether the institutions promoting it will be held to account for who benefits and who is left out. The UF College of Design, Construction and Planning and the UK National Digital Twin Programme are central players in that story. How they address procurement, public engagement and equity in access to the single source of truth will determine whether digital twins serve resilience in the broad sense or mainly the interests of those who control the data.
Sources
UF College of Design, Construction and Planning, National Digital Twin Programme, Energy Research & Social Science, E-International Relations, UF College of Design, Construction and Planning