Computational Design Lab

Code Lab

The Code Lab is a multidisciplinary research and learning laboratory within the School of Architecture at Carnegie Mellon University. It houses a dynamic community of graduate students and faculty investigating relationships between people, spaces and computational ideas and processes. Current research includes speculative design tools, spatial analytics, computational making, virtual and augmented realities, data visualization, architectural robotics, tactical media, as well as research into historical and theoretical questions concerning technology in design. Code Lab faculty and students often collaborate with partners in the scientific fields and the humanities, and endeavor to form and maintain alliances with peer centers in academia and industry both nationally and internationally.

News

“Archaeology of CAD” at SIGGRAPH 2018 “Archaeology of CAD” at SIGGRAPH 2018 “Archaeology of CAD” at SIGGRAPH 2018 On August 2018, the SIGGRAPH Art Gallery in Vancouver exhibited two interactive installations from the "Archaeology of CAD" project developed at the Code Lab, which examines the origins of Computer-Aided Design (CAD) by reconstructing some of its pioneering technologies.
Mine Ozkar Welcome Mine Ozkar Welcome Mine Ozkar Welcome The Code Lab welcomes Professor Mine Ozkar as a visiting scholar for the 2018-2019 academic year.
New Urban Analysis Toolkit New Urban Analysis Toolkit New Urban Analysis Toolkit Using Computation to Understand How Pedestrians Use Market Square
Bauhaus Digital Masterclass Bauhaus Digital Masterclass Bauhaus Digital Masterclass Daniel Cardoso Llach to deliver Computational Design ‘Masterclass' at the Bauhaus Universität, Weimar, Germany
2018-2019 Visiting Scholars 2018-2019 Visiting Scholars 2018-2019 Visiting Scholars The Code Lab hosts visiting scholars and researchers from around the world whose work advances our understanding of the interplay of computing and architecture, design, and culture.
DeepCloud in ACADIA 2018 DeepCloud in ACADIA 2018 DeepCloud in ACADIA 2018 Ardavan Bidgoli and Pedro Veloso, two Ph.D. students from CodeLab, recently released their paper “DeepCloud: The Application of a Data-driven, Generative Model in Design” on ACADIA 2018 conference in Machine Learning Data session.