By feeding information into an algorithm that designs architecture for the senses, one can see how this computer tool may be able to make inferences and connections.
Trying to turn algorithmic architecture into a reality is quite a challenge today. It requires the manufacturing of materials that can move about, shift location and morph — all aspects that make digital manufacturing a little ways off.
When you combine the power of understanding occupant and human relations and behavioral patterns with the dynamics and fluidity that computational design can bring, you have quite a unique coupling that can unleash not only an adaptive architecture but also a highly customized and optimized one — algorithmic architecture.
In a world where buildings today are primarily static, not very responsive and not very well optimized, it will be intriguing to see what algorithm design for architecture can do — particularly when coupled with other fields like nanotechnology, biomimicry and neuroscience.
How often do you capture a "creative spark"? The key when modeling a creative spark is to create an MVM, a Minimum Viable Model, that quickly tests your creative spark. This initial physical model is a quick handmade prototype to help yield proof of concept: built to see if this creative spark has depth for further development.
The above close-up section of a recent environmental drawing I created explores what I call the structure of gravity. This paradoxical term speaks to the bridging of architecture between the earth and sky – as built form rises upward as if to collaborate with the science of gravity through the structure of design expression.
Developing the ability to evolve your design process is critical not only to your architectural brand, but also to the clients and building occupants your design projects serve. By formulating design concepts that push boundaries, you eliminate getting stuck or plateauing as you improve your design thinking and design doing from project to project.