People

George D. Quinn is a Ph.D. student studying Political Science at Rutgers University. He currently majors in American Politics, focusing on political behavior, public opinion, and statistical methodology.

His main research studies the effects of Negative and Positive campaigning on political perceptions and voter decision making. To achieve this research, George has worked on crafting cutting-edge methodologies focusing on generative artificial intelligence (Gen-AI) and Large Language Models (LLM) for text classification, model specification, and public opinion research. 

Additionally, George studies the effects of candidate age on public opinion, specifically on studying age as a barrier to candidate emergence at the state and local levels. 

Since 2022, he has served as a research associate for the Rutgers-Eagleton Institute of Politics - Young Elected Leaders Project (YELP). Currently George serve as Project Leader for YELP. His roles for YELP focus on data management and research development. The project aims to craft large-scale state and local-level candidate age data and highlight the stories and pathways of young political figures. George’s research has appeared in several national venues, including national conferences such as the American Political Science Association (APSA) and the American Association of Public Opinion Research (AAPOR). 

George additionally has received advanced methodological training at Rutgers, working on Multivariate Regression Analysis, Bayesian Statistics, Experimental Methods, Computational Methods, Survey Methodology, and Maximum Likelihood Estimation. Additionally, George received high-level training at the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan in Ann Arbor, MI. Covering topics such as Network Analysis, Time Series, and Panel Data analysis.