Computational Design

The Computational Design & Research (CDR) group specializes in researching and developing in-house design simulations that help to generate, visualize and evaluate spatial properties of the built environment. CDR works on the limit between computational theories and design procedures where the spatial perspective of the user-inhabitant can be simulated. This approach is applied to urban design, architecture and interiors.

We have developed a unique brand of participatory design combining interactivity, real-time processes, portability and scientific rigour. Project scopes range from collaborative research with international academia and industry to providing services based on custom design tools.

All design applications and methods are researched and built in-house specific to client briefs. The tools produced are used to support Aedas internal projects as well as third-party clients.

Methodology
CDR has developed its own methodological approach: ‘open framework for spatial simulation’ for the computation of design knowledge of architectural and urban spaces.

The framework serves to explore the nature of computation as a design search instrument. This requires us to understand traditional design heuristics and the assumptions designers work with, before being able to create simulations that allow the visualization of the search process as well as the implicit qualities of space. Designers will then be in the position to search through the design solution spaces that encapsulate their assumptions about spatial phenomena of cultural, cognitive or social nature.

Our approach focuses on building assemblies of lightweight design simulations that can be negotiated by a designer to fit required aspects of design. The small simulations allow for direct integration of spatial qualities rather than delayed evaluation and enabled partners to review their traditional work stages while producing evidence during the design process.