George Quinn is a PhD candidate in Political Science at Rutgers–New Brunswick. Quinn studies American Politics, specifically focusing on campaign communications and the effects of negative campaigning in elections. He also researches the psychological effects of positive and negative campaigning in American elections. As well as public perceptions surrounding the age of political candidates. Within political science, his research specializes in survey experiments, computational methods, and generative artificial intelligence, in particular, to inform public opinion. He has contributed to an ongoing ANES open ended classification project, in addition to other AI related research projects. He also works within the Eagleton Institute of Politics, Center for Youth Political Participation as an Graduate Research Associate. His key role at Eagleton serves as a coordinating researcher for The Young Elected Leaders Project. 

AI Politics is Local: Turning Down the Temperature on Data Center (DC) Politics

Our project seeks to evaluate public perceptions of AI Data Centers (DC). The goal of this project is to experimentally examine differing conditions of Data Center construction, specifically varying energy sources and costs. This project asks two simple but increasingly urgent questions: How do DCs affect local politics and democracy more broadly? And how can we turn down the temperature on DCs to increase civic engagement and democratic governance? It aligns directly with the Rutgers Democracy Lab’s priority area on the Effects of AI on Democracy, which calls for research on how artificial intelligence and emerging technologies shape governance, public opinion, regulation, civic participation, and political power.

This project is co-authored with Frederic Taylor.