Julius Lagodny – PhD Social Science Cornell & Data Analyst
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As the main Data Analyst at El Pato, a Berlin-based media company, I apply machine learning techniques to diverse hierarchical and non-hierarchical datasets. My responsibilities include performing comprehensive data analyses for our clients. Additionally, I create data pipelines within the Microsoft Azure environment and design Power BI dashboards to effectively communicate data-driven insights.
Simultaneously, I am a Research Fellow at the Data Lab of the Hertie School, where my work primarily focuses on understanding political behavior, public opinion, and electoral systems, with a special emphasis on the political representation of immigrant-origin citizens in Europe and the United States.
Having earned my PhD from the Department of Government at Cornell University, I have specialized in small area estimations, utilizing advanced statistical models like multi-level regression and poststratification (MRP). I am proficient in R and Stata, as well as practiced in SQL and Python.
My research delves into immigration and immigrant inclusion across various western democracies. A particular interest of mine lies in sub-national variations in voting and political participation, with regional and local contexts influencing individuals’ behavior and perceptions. The main cases in my research are the US, Germany, and Austria, while I also focus on Spain, Canada, and New Zealand.
One of my notable achievements is my 2020 U.S. presidential election forecast, which correctly predicted the results in 49 out of 50 states, more than 100 days before the election.
My dissertation, titled “Essays on the Political Participation and Views of Immigrant-origin Citizens in Germany,” explores the reduced participation of immigrant-origin citizens in formal politics, especially in countries with restrictive citizenship regimes like Germany.
Between October 2019 and October 2020, I was a visiting researcher with the chair for Political Sociology at Freie University Berlin – the stay was interrupted by the COVID-19 outbreak. From May 2021 until August 2021, I was an “Ernst-Mach-Stipendium” scholar at the University of Vienna. My research is supported by the Berlin Program for Advanced German and European Studies of GSA at FU Berlin, the EUROLAB at GESIS, the Center for European Studies, Cornell, the Mercatus Center, and the Flournoy Graduate Student Endowed Fellowship.
Additionally, I work on several election forecasts and subnational public opinion models using multi-level regression and poststratification models (MRP).
I have been quoted and cited in several American and international media outlets: The Associated Press, The Washington Post, Le Figaro (France), Infobae (Argentina), Marktforschung.de (Germany), and others.
Social Media Profiles: Google Scholar, Twitter, LinkedIn.
Please find more about my role at the Hertie School and at El Pato.