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Students: Oli Shuning Chen, Katrina Qing Wang, Echo Wen Lan Zhu, Tianyu Zhang
TUTORS: Gilles Retsin, Manuel Jimenez Garcia, Kelvin Saey David Doria, Mollie Claypool, Sonia Magdziarz

Facing the global climate emergency and housing crisis, STNE-O is a platform that uses AI- Driven automated design and fabrication technologies to re-introduce stone construction for mass housing. Our design methods allows to compile a wide range of housing typologies directly from raw stone material, minimising the need for craft and customisation. A configurator software allows communities of future inhabitants to negotiate their preferred mode of living and space usage. An ML-trained virtual bot then interprets these programmatic schemes and organises raw materials from a crowd-sourced stone database into fully functional housing blocks. Using post-tensioning as a structural system, new types of stone buildings are enabled, which provide an open-ended, natural and adaptive way of inhabiting our cities.