Housing Stock - Automated building layouts for sustainable cities
Ramon Weber, Professor
Architecture
Applications for Spring 2025 are closed for this project.
The UN predicts a doubling of floor area until 2050, estimating a fantastic 230 billion square meters of buildings to be built in the next decades. Meanwhile, buildings should drastically lower their carbon emissions and energy use in order to avoid climate disasters. The project tackles this question with a technological lens. New algorithms and data structures are proposed that will enable the automatic generation and analysis of architectural floor plans from a spatial and structural perspective.
The project will be materialized both as an artistic installation for an exhibition, as well as a database and research publication.
Role: Tasks and Learning Outcomes: The URAP Student will be responsible for working closely with the PI to develop a database of architectural floor plans and integrate them into simulation software that will be used in an artistic and scientific context. The URAP Student will assist in the construction and development of an art installation in early Spring together with graduate students. The student has the possibility to test new design software and potentially help in the integration and development of new functionalities.
Qualifications: Required: Interest in computational design.
Personal Skills: Detail Oriented, Clear communicator, Self-directed, Work in a team.
Software Skills: Adobe Creative Suite, Rhinoceros.
Making skills: Detail Oriented, model-making, simple construction and openness to learning experimental methods of making.
Hours: to be negotiated
Related website: https://spatial-systems.io/
Related website: https://www.ramonweber.com