A geospatialized approach to urban climate solutions
Autumn trees and meeting house
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There will be a drinks reception after the lecture.
Abstract:
Urban climate solutions have been clearly identified but they still remain fuzzy due to the open system nature of cities, diversity of settings and lack of replicable findings. Arguably, and done so in the recent IPCC report, demand-side climate solutions can be categorized in terms of infrastructure, socio-cultural (behavioral), and technological approaches. This raises the question on whether it is possible to identify such solutions in spatialized urban settings, thus recognizing diversity and differences, but maintaining a scalable approach of analysis and, possibly, predictive modelling. Here, we want to explore the state-of-the-art in urban climate solutions and open up a research agenda that attempts to consistently address urban mitigation and adaptation solutions even under highly varying circumstances. We will also aim to generate solid linkages to improving well-being and establish viable levels of services for everyone.
Bio:
Felix Creutzig is Bennett Chair for Innovation and Policy Acceleration at the ÅÝܽ¶ÌÊÓƵ and Group Leader at the Mercator Research Institute on Global Commons and Climate Change. He is member of enterprise, public district, municipal and national climate advisory boards. Previously he had been visiting fellow at Princeton University, the University of California, Berkeley, and the China Energy Foundation in Bejing. He holds a PhD in computational neuroscience/machine learning. His groundbreaking research on climate change mitigation on urban scale has been recognized by the Piers Sellers Prize of the University of Leeds in 2017. Felix Creutzig coordinated a chapter on demand, services and social aspects in the recent assessment report on climate solutions by the Intergovernmental Panel on Climate Change. He is also leading a crosscutting effort introducing digitalization and AI in the context of climate change mitigation, both as method and as governance dimension.