معرفی
Nicholas Beauchamp is an Associate Professor of Political Science at Northeastern University's College of Social Sciences and Humanities (CSSH), affiliated with the Network Science Institute and NULab for Digital Humanities. His research focuses on computational methods applied to political opinion formation, including text analysis, network science, and AI. He explores topics like media bias, social media discourse, and deliberative processes in legislatures.
Beauchamp holds a PhD in Political Science from New York University (2012) and prior degrees from Johns Hopkins and Yale. His work bridges philosophy, literature, and quantitative methods, evident in courses like 'Bayesian and Network Statistics' and 'Social Networks.'
Key projects include analyzing partisan media reporting, developing AI tools for political text analysis (e.g., MOKA framework), and studying the impact of social media on political engagement. Awards include NYU's Henry McCracken and Bradley Fellowships.
His labs and collaborations involve the NULab and Network Science Institute, emphasizing interdisciplinary approaches to political science challenges. Beauchamp's research also addresses ethical questions in AI and the moral dimensions of political expression.
