The issue
A digital twin can show how a city behaves. It cannot decide what the city should become.
Models can test transport, heat, flooding, energy and development scenarios—but their assumptions, data gaps and distributional effects must remain visible.
How this affects Australians and Queenslanders
For Australians, responsible urban modelling can improve infrastructure choices while avoiding false precision in public decision-making.
For Queenslanders, digital tools should combine with lived experience, First Nations knowledge and professional judgement across rapidly changing cities.
The second-order risk is that a sophisticated model narrows debate when leaders mistake what is measurable for what is important.
A preferred future would use technology as a shared inquiry tool rather than an authority beyond challenge.
This shifts the central question from:
What does the model predict?
to:
Which important city value is absent from the model because it is difficult to quantify?
Digital Twins IFM
IFM Phase One – Unique Uplift: Use digital twins to widen shared choices for a more inclusive and resilient city.
IFM Phase Two – Universal Interest: Establish transparency, fairness and accountability as the common ground for modelling.
IFM Phase Three – Uniting Possibilities: Combine digital modelling with lived experience, First Nations knowledge and professional expertise.
IFM Phase Four – Unaligned Factors: Expose and correct data gaps, assumptions and incentives that narrow decisions.
IFM Phase Five – Unicity Synthesis: Integrate models, human judgement, public values and ongoing learning into one decision system.
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Originally published on LinkedIn: Dr Colin Russo on LinkedIn