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Multidimensional interactive optimisation for urban development

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The world’s building stock is expected to double by 2060, which means building one New York City every month over the next 40 years. In order to achieve this in a sustainable way, we need smarter ways of designing our cities. Spacemaker is strongly committed to contributing to this purpose by providing real estate developers and architects with a software that allows for immediate optimisation and analysis of any building site. However, the site development problem entails navigating a high-dimensional solution space where the system needs to take into account all buildings, surroundings and other functions on a site. To make it more challenging, our work has shown that it is infeasible to capture all requirements and preferences of the user in an explicit objective function. To give our users a tool that allows them to navigate and explore this vast solution space, Spacemaker has developed a human-in-the-loop system for optimization that takes advantage of the superior problem-solving capacity of a hybrid human-machine system. In order to accomplish this, we use a wide range of techniques including search/optimisation, sampling (GANs etc.), dimensionality reduction and visualisation techniques. This talk will introduce you to some of them, both generally and in the Spacemaker use-case.

This talk is part of the Data Intensive Science Seminar Series series.

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