Yong Suk Lee

October 30, 2023

However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns. To address the issue, Yong Suk Lee, assistant professor of technology, economy and global affairs in the Keough School of Global Affairs at the University of Notre Dame, and Andrea Vallebueno from Stanford University used machine learning to develop a scalable method to measure urban decay at a spatially granular level over time.

October 30, 2023

Research by the University of Notre Dame and Stanford used Artificial Intelligence to precisely map three model cities, analyzing urban decay and identifying solutions to increase the well-being of citizens. The possible solution to the problem may have been found by Yong Suk Lee, assistant professor of technology, economics and global affairs at the Keough School of Global Affairs at the University of Notre Dame, and Andrea Vallebueno of Stanford University.

March 31, 2023

With the impact of industrial robots on the US labor markets in the past two decades, and an ever-increasing presence of machine-driven technology (such as artificial intelligence and ChatGPT), many employees have feared that one day robots will take their jobs. Not necessarily so, according to research recently published by Yong Suk Lee, an assistant professor in the University of Notre Dame’s Keough School of Global Affairs.