Studio Description: Articulated Landscape

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Prof. Carlos Banon (SUTD)
Prof. Toni Kotnik, Prof. Pia Fricker, Luka Piskorec, Kane Borg (Aalto University)

Studio Description: Articulated Landscape

Description of Studio

Digital design is driven by thinking in structures and systems, translated into pattern of order and their interaction. The studio is an introduction into such design thinking and emphasises the exploration of spatial organisational pattern in various levels of abstraction and scale through the integration of computational methods and digital workflows.

The studio is organised as joint studio between the Singapore University of Technology and Design and Aalto University, involving the professorships of Design of Structures and Computational Methodologies in Landscape Architecture and Urbanism.

This autumn, the studio will explore performative qualities of organizational patterns in the vertical. By viewing the city not anymore as a collection of independent objects but rather as a systemic network of relationships the studio will explore new design strategies to engage with the surrounding urban and green systems and transform these concepts into a vertical articulated landscape as new urban typology grounded in social and environmental sustainability. Computational methods and techniques will be developed to study the relation between buildings, the city and landscape and its underlying flows of different data streams like, people, material and culture, urban green. This knowledge will be used to speculate on new types of urban sustainability aiming at the connection of urban and green systems for future cities.

The studio is organized as an experimental design lab. Teaching will be fully digital and exploring a data-driven encounter with urban phenomena. Studio teaching is supported by intense skill building workshops as well as reading & discussion rounds. The course is aiming at the rethinking of fundamentals of contemporary architecture and landscape architecture and can serve as starting point for a future thesis research.

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