Modeling and simulating our work has become imperative to identifying areas in need of innovation and improvement, to our design and financial decision-making processes, and to understanding the impact and return on investment of our work.

We use a variety of methods – from systems modeling, organizational modeling, economic and financial modeling, statistical modeling, to materials and prototype models – to simulate and experience the web of interconnected dynamics in which our projects exist.

Seeing both the performance and financial consequences of our decisions at the design stage make our prototyping more intelligent. We can get to a well-informed prototype more quickly and more efficiently, driving the future before committing to a design.

Our models and data sets are also tools for measuring the ex post impact and cumulative value of our work. This promotes accountability and helps us demonstrate a “return on redesign” to our partners and clients in areas where the social and environmental value of our work transcends the traditional financial metrics of success.