Explore the historical development and recent applications of machine learning techniques in the current landscape of social science research.
Tuesday April 2, 2024 at 3:30 PM
Gluck Theater, WVU Downtown Campus
Light refreshments at 3:00 PM | WVU Research Week 2024 Event
Susumu Shikano is Professor of Political Methodology at the Department of Politics
and Public Administration, the University of Konstanz, Germany. He is doing
research on diverse topics in political behavior. He received a Dr. phil (2001)
and venia legendi (2007) for political science from the University of Mannheim.
Machine learning, with roots dating back to the mid-20th century, has garnered heightened attention in recent years, especially within the last decade.
While its related techniques have long been adopted in social science research, often implicitly embedded within statistical analyses, machine learning has become more visible in light of rapid technological advancements and increased computational capacities.
This presentation explores the historical development of usage of machine learning techniques in social science research. Following this historical overview, the talk presents some of the most recent applications of machine learning in social science research, offering insights into how its recent advancement such as deep learning and large language models (known for chatGPT) is affecting the current landscape of social sciences.