Yong Suk Lee

August 11, 2025

“As AI adoption in industrial contexts grows, practitioners will need to balance the trade-offs between using complex, expensive general-purpose models and opting for fine-tuned models that better meet industry needs,” study co-author Yong Suk Lee, a professor of technology, economy and global affairs at Notre Dame, said in a press release.

January 13, 2025

“Our research focused on Japan because it is a super-aging society that provides a good example of what the future could entail elsewhere — a declining population, a growing share of senior citizens and a declining share of working-age people,” noted University of Notre Dame associate professor of technology, economy and global affairs Yong Suk Lee. “We need to be ready for this new reality.”

January 09, 2025

In an insightful investigation into the integration of robotics within the nursing care sector, recent research led by Yong Suk Lee, an associate professor at the University of Notre Dame’s Keough School of Global Affairs, reveals a promising paradigm shift in how these technologies influence healthcare both for workers and patients.

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.

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.

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.