COLLABORATORS LINDSAY RULE - Landscape, Urban Design CALEB WHITE - Architecture, Urban Design RAMON PENA - Architecture, Urban Design
Thesis Project
Negotiable Spaces Applied Learning Algorithms The goal of this thesis is to deal with the representation of a form of crowdsourced architecture. One that through means of actuators is able to change its geometry and operation based on feedback from a collection of users and thus raises the question of how to design such multi faceted spaces. Through shifts in geometry, can architecture be negotiated in real time? How do we manage multiple interests in one urban site? What are the computational methods needed to regulate and operate an architecture that is always in motion? We hypothesize that if architecture were to instill within its spatial medium the intelligence to interpret user-generated data it could be able to produce spatial repercussions in real time that are synchronous with our collective metrics of value. Bird’s eye view of Masterplan
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