Data Science is witnessing an unprecedented growth and is now being used profusely in many academic disciplines and in the industry. The adoption of Data Science in engineering remains low, however. In this talk, Professor Derrible will explain the impetus to change how cities are designed, and in particular, why the need to start to better integrate infrastructure systems, and he will also discuss how engineers can leverage Data Science for the design of smart, sustainable, and resilient cities. He will then discuss three projects that he and his colleagues are working on at the Complex and Sustainable Urban Networks (CSUN) Laboratory. First, Professor Derrible will showcase the GISF2E tool that they have developed to convert any geographic data into a network. Second, he will show how they have used Data Science to uncover patterns in household water consumption in the United States and Canada. Third, he will present a new Network-based Frequency Analysis (NFA) approach that is able to track the performance of an entity over time, which they have applied to track sustainability in world countries. Overall, Data Science consists of an amazing toolkit that has much potential for the design of smart, sustainable, and resilient cities, but they are only at the beginning of the journey.
Sybil Derrible is a Professor of Sustainable Infrastructure Systems in Civil and Materials Engineering and the Director of the Complex and Sustainable Urban Networks (CSUN) Laboratory at the University of Illinois at Chicago. He is also a Research Assistant Professor with the Institute of Environmental Science and Policy at the same university. His research is at the nexus of urban metabolism, infrastructure planning, complexity science, and data science to redefine how cities are planned and built for smart, sustainable, and resilient urban systems. He received a US National Science Foundation CAREER Award for his work, and he obtained his PhD from the University of Toronto.
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