7 Strategies For Computational Design Implementation



Architects and designers are on the precipice of the big data era and the challenge to incorporate connectivity and performance to infill spatial design. Often, the designers rely on gut instinct rather than using readily available data to make informed decisions to improve projects. More and more across a number of aspects of architectural design, whether it be programmatic or performance data, in the world of building science, there is an interesting juncture between computing abilities and tools availability where generative design, simulations, real-time visualization options, and fragmented information, poses a new challenge of how to investigate, present, and leverage data in order to make it most useful. I would like to present an open approach to introduce those tools in real workflows without saying that I think our designs are becoming the resultant of data, but that our designs are being better informed and strengthened by this embrace of data in the industry.

Join our Slack Community
Sign-up for our Slack workspace to talk Dynamo, code, tech and everything else!
Join Slack