[SUE] Semantic Urban Elements - Chenyi | Video Series

[SUE] Semantic Urban Elements - Chenyi | Video Series 

In a new instalment of the FCL Global Video Series, Chenyi Cai, Postdoctoral Researcher in the [SUE] Semantic Urban Elements module, shares how computational urban design can bridge city science and urban design practice.Working at the intersection of AI, computation, and urban design, Chenyi’s research explores how everyday street elements shape walking experiences for different groups of people. By combining large-scale urban data with human-centred design thinking, her work aims to turn evidence into actionable design insight. One ongoing project introduces an “urban search engine” that allows designers to explore real-world places based on self-defined urban characteristics, supporting more informed, transparent, and context-sensitive design decisions. Through her work, Chenyi highlights the importance of keeping humans in the loop, presenting a forward-looking future for designers. Instead of replacing designers, Technology becomes a tool to expand how we understand and shape cities.

More stories from our researchers coming soon. Stay tuned!  

SPEAKERS:

Chenyi

Postdoctoral Researcher, [SUE] Semantic Urban Elements

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