Claire Daniel | Are computer-generated cities the future?
We now have more data about how people are living in cities than ever before, and hype about digital innovation, smart cities and digital twins is currently through the roof.
The population of our capital cities is going to increase rapidly over the next decades. But right now, our cities are bloated, congested, and many urban design choices are no longer fit for purpose. Enter algorithms: those codes that know what we like to eat, how we like to spend our time, and what we secretly want to buy online. But once we lift the veil of mathematical objectivity, we can see that the way these algorithms are used in city planning needs to be more of an art than a science. If algorithms know us better than our friends, is it time we let them help us build the cities of the future?
Claire Daniel is a Scientia PhD candidate in the School of Built Environment, Faculty of Arts, Design & Architecture at UNSW Sydney. They are both an urban planner and a computer programmer researching how data and digital technologies are used by planners, and how this is set to change the way cities are governed. In 2015, Claire was awarded the John Monash Scholarship to study the MSc in Smart Cities and Urban Analytics at University College London. In addition to their academic work, Claire has professional experience in local government and consulting, and is a member of the Planning Institute of Australia’s PlanTech advisory committee.