Long Nguyen

Long Nguyen is a computational social scientist and research software engineer at the German Center for Integration and Migration Research (DeZIM), and a doctoral candidate in Applied Social Data Science at Bielefeld University. He earned an M.A. degree in Social Policy from the University of Bremen (2021).

His research centers on the development and application of quantitative and computational approaches to the study of migration and integration, political participation, and social inequalities, with a particular focus on adapting methods for large-scale analysis of text data from online platforms and extending them through network and spatial data analysis.

At DeZIM, he has contributed to research on political attitudes, participation, and discrimination, including analyses of electoral preferences and political issue salience based on automated topic detection in open-ended survey responses, as well as reports on disproportionate exposure of racialized individuals to environmental burdens using spatial linkage of panel data with official environmental statistics. His dissertation, which focuses on digitally mediated public discourse, has developed analytical approaches to measure the use of contested linguistic practices (e.g. gender-inclusive language) and track their diffusion across contexts.