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RE_ROOT (2026)

Contextual Intelligence: Biomimicry, AI and the Land-Water Interface

Angeline Suriad, Hollis Hui, Wendy Tse, Fahmeeda Osman
Mentors: Nabi Agzamov, Carlos Rivera, Provides Ng, Jing Chang

Contextual Intelligence Best Design Prize

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ReRoot explores how living systems, in the form of mycelium-based scaffolds, can guide root growth to mitigate flooding in villages in Sai Sha, Hong Kong. The site occupies a low-lying coastal landscape shaped by heavy rainfall, urban development and limited drainage infrastructure.

3D-printed moulds filled with crushed shells and soil waste provide a substrate for mycelium to colonize and bind the materials through biocementation. Over time, these scaffolds naturally decompose, enriching the soil and improving its structure.

Integrating computational land–water analysis with summer peak shade mapping, ReRoot identifies optimal tree planting zones to enhance resilience. The design facilitates natural processes that slow and redirect water flow, improve soil permeability, and restore ecological balance. In doing so, it transforms flood control into a self-forming, self-degrading infrastructure that regenerates as it dissolves.

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© 2023 Hollis Hui

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