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green ambassador

Data modelling for urban performance is a Phd course that integrates disciplines of the ABC and DEIB Departments held at #polimi, Leonardo Campus. This course introduces a model-based approach able to define through an objective qualitative and quantitative representation, the state of a cities as Complex Adaptive System and their environmental, performance, with a view to possible improvement scenarios. The contemporary progress of information technology has enabled the use of sophisticated machine learning and data mining algorithms to process incredibly large amounts of data. So, the course presents, how the application of data engineering and modelling techniques combined with sophisticated methodologies for reading and transforming the built environment hold extraordinary potential for improving the environmental performance of urban systems. The final aim is to provide a deeper understanding of the morphological and socio-economic phenomena in urban areas, applying data engineering and modelling techniques to face the challenges posed by the heterogeneity and complexity of the problem at hand. At the end of the course, students are able to study and describe - quantitatively and qualitatively - many aspects of a city as a complex system, with a clear identification of the roles played by the various sub-systems. The goal is to demonstrate that the sustainable new paradigm as promoted by the SDGs-2030 need to be addressed through an integrated, multidisciplinary, and multiscale approach embracing different fields of knowledge, from architecture, to urbanism, to ICT, to building technology. The staff is composed by: Gabriele Masera, ABC Department Massimo Tadi, ABC Department Letizia Tanca, DEIB Department Renato Casagrandi, DEIB Department Emilia Lenzi, DEIB Department Carlo Andrea Biraghi, DICA Department #building #data #sustainabledevelopment #cities #sdg11