UGOD Seminar | Urban Design Analytics: Leveraging AI and Data Science to Plan more Sustainable and Healthier Cities
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Data science methods such as Computer vision, Language models and Reinforcement learning have triggered the AI revolution since 2014. In this presentation, I argue that Data science and AI can be integrated at every stage of the urban design process assisting rather than replacing human experts, which will be demonstrated through a set of case studies. Data science methods such as Computer vision, Language models and Reinforcement learning have triggered the AI revolution since 2014. In this presentation, I argue that Data science and AI can be integrated at every stage of the urban design process assisting rather than replacing human experts, which will be demonstrated through a set of case studies.
Dr Stephen Law is Associate Professor of Social and Geographic Data Science in the Department of Geography at UCL, where he co-founded and direct the MSc Social and Geographic Data Science programme for the past five and a half years. Before this, he held a postdoctoral research fellowship at The Alan Turing Institute, exploring applications of AI in urban design analytics, and completed his PhD at the Space Syntax Lab within the UCL Bartlett School of Architecture. He also holds a Visiting Professorship at Ritsumeikan University, is a Fellow of the Royal Society of Arts, and serves as a committee member and conference officer for the Royal Geographical Society’s Quantitative Methods Research Group. Beyond academia, he has over 10 years of urban design consultancy experience in the UK, China, and internationally. He also co-founded BeautifulPlacesAI, a nonprofit company dedicated to using artificial intelligence and technology for social good by gathering comprehensive, high-resolution data on beautiful places and buildings worldwide.