معرفی
Julius Lagodny is a Research Fellow at the Data Science Lab of the Hertie School, specializing in political behavior, public opinion, and electoral dynamics. He holds a PhD from Cornell University's Department of Government, where he focused on political behavior, public opinion, and elections. His research emphasizes the political representation and engagement of immigrant-origin citizens in Europe and the U.S., leveraging advanced data science methodologies.
Dr. Lagodny's work bridges political science and data science, with a focus on electoral forecasting, hidden voter behavior, and the impact of social media on political campaigns. His research has been published in high-impact venues, addressing topics ranging from U.S. presidential elections to Germany's far-right AfD party's online strategies. He contributes to interdisciplinary projects at the Hertie School's Data Science Lab, fostering innovation in policy-relevant data analysis.
His academic contributions include developing datasets on U.S. partisanship and presidential approval, and validating state-level policy mood trends. He has also explored comparative criminal law frameworks and migration's role in transnational security. While no explicit awards are listed, his prolific publication record highlights scholarly impact.
Dr. Lagodny's work often intersects with policy-relevant questions, such as how explicit racism influences minority political engagement and the methodological challenges in tracking public opinion. He maintains a focus on both U.S. and European contexts, reflecting his transatlantic research perspective.
