Advancing a Data-Driven Approach to Architecture


The work is quantitative, parametric, iterative, and most importantly, temporal. Architecture has always been an iterative process: design, document, build, and repeat. Lessons were learned over the course of years and an architect with 20 years of experience may have seen a dozen iterative cycles. Data-driven design has transformed the iterative loop to model, simulate, analyze, synthesize, optimize, and repeat. Generative models based on the manipulation of parameters replace the physical act of building in this loop. And the biggest impact is temporal. We are now running simulations on hundreds of design variations in a matter of days. We can perform sensitivity analyses to determine which factors are the most critical to achieve our performance goals. Intuition plays a smaller role in the data driven design process than it did in the analog process. We are able to design buildings that quantifiably perform better than before. This is a skills differentiator for our firm, allowing us to compete for projects successfully in an increasingly competitive marketplace.

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