Full programme

Session

The Human Data Layer

10:30–11:1040 min

How do we make smarter cities without losing sight of the people who live in them?

AI gives planners and developers extraordinary new powers to model, predict and optimise the city. But the quality of the answer still depends on what we choose to measure. The Human Data Layer asks how public-life data, behavioural insight and local knowledge can sit alongside computational models – so that smarter planning also produces places people actually want to inhabit.

Agenda

  1. 10:30–10:45

    Gehl: Can AI Plan For Public Life?

    As AI enters planning and design, the risk is not that cities become too digital, but that they become too abstract. Long before urban data became fashionable, Gehl built its practice on observing and counting what people actually do in public space. 

    In this session, Liselott Stenfeldt brings that human-scale tradition into the AI age: how can public-life data, behavioural insight and future scenarios enrich simulations, digital twins and planning models? Gehl explores how technology can help planners, developers and decision-makers move from hindsight to foresight – and act earlier, faster and with greater awareness of the human impact. 

    The challenge is not simply to plan faster, but to make sure the models understand what makes cities worth living in.

  2. 10:45–11:10

    Fireside: The City – With Better Judgement

    What happens when AI meets the human scale? 

    In this fireside, Angie Mendez moderates a conversation between Gehl, leading developers and city administrators on how technology can become a shared language for better urban decisions – not just a faster way to produce more plans. Better data can help us test more possibilities, understand consequences earlier and challenge assumptions that have often relied on instinct. But better models still require judgment.

    Together, the panel explores where AI, public-life data, behavioural insight and local knowledge can improve decisions on land use, mobility, amenities, density and public space – and which decisions should remain grounded in experience and an understanding of how people live. The question is not whether data can make cities smarter, but whether we can use it to make planning more relevant, more precise and more human.

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