by Nil Ergin
By 2050, an estimated 68 percent of the world’s population will be living in cities, creating enormous social, economic, and environmental challenges. By leveraging systems and technologies to improve city infrastructure and governance, we can help cities become smarter and overcome some of these challenges. Smart city research explores dimensions of these systems and technologies by utilizing integrative methodologies from Artificial Intelligence, data science, software engineering, and systems engineering. Some current projects include understanding architectural considerations for developing smart city systems; applications of AI/machine learning to smart city problems; developing formalized knowledge elicitation methodology to support smart city decision making, integrating information from disparate, ambiguous, multi-level, and multi-domain policy documents; and developing system-of-systems level models for decision makers to analyze and design privacy management strategies.
Raghu Sangwan, PhD