Jisu Kim
Utrecht University
j.kim@uu.nl
Dr. Kim is an Assistant Professor at Utrecht University in the Netherlands. She holds a Ph.D in Data Science from Scuola Normale Superiore in Italy.
Before joining the University of Utrecht, she was a research scientist at the Max Planck Institute for Demographic Research (MPIDR) in the department of Digital and Computational Demography.
Her work revolves around developing innovative methods to enhance relevant statistics on international migration using big data analytics. Her primary research areas lie in international (human) migration, data science, and network science. Moreover, her research is informed by and intersects with fields such as political science, economics, and digital sociology.
Her current research interests focus on exploring how big data sources can aid in understanding the socio-political and cultural contexts of migration, including the role of social networks, integration, and attitudes towards migration.
Rottenkolber, A., Ali, O., Mónus, G., Li, J., Kim, J., Perrotta, D., & Akbaritabar, A. (2026). The role of professional networks and institutional prestige in shaping the first career moves of scholars. PNAS Nexus, pgag168
Kim, J., Weber, I., & Zagheni, E. (2026). The Grass Really is Greener on the Other Side: Immigration and Changes in Expressed Sentiments Online. International Migration Review, 01979183261427417
Baik, K., and Kim, J. (Dec., 2025). Analyzing the Discourse Around Russo-Ukrainian War in Germany: Understanding Variances in Public Stances. In: Karampelas, P., Day, MY., Ting, IH., Alhajj, R. (eds) Advances in Social Networks Analysis and Mining. ASONAM 2025. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-032-13509-4_24
Anastasiadou, A., Kim, J., et al. (2024). Sex-and gender-based differences in the migration process: a systematic literature review. Journal of Population and Development Review
Sîrbu, A., Goglia, D., Kim, J. et al. (2024). International mobility between the UK and Europe around Brexit: a data-driven study. J Comput Soc Sc. https://doi.org/10.1007/s42001-024-00277-4