Affiliate Researcher

Jisu Kim

sites.google.com

Jisu holds a Ph.D in Data Science from Scuola Normale Superiore in Italy.

She is a research scientist at the Max Planck Institute for Demographic Research (MPIDR) working on exploring and establishing novel methods to improve relevant statistics of international migration using big data. Her main research interests are on International (human) Migration, Computational Complex and Social Systems focused on Big Data analytics, Economic Networks, and Data Science.

She is also a member of the Complex Systems Society council since 2021.

MPIDR Publications

Recent All

Anastasiadou, A.; Kim, J.; Şanlitürk, A. E.; de Valk, H. A. G.; Zagheni, E.:

Gender differences in the migration process: a narrative literature review

Population and Development Review. (2024)    

Pettrachin, A.; Gabrielli, L.; Kim, J.; Ludwig-Dehm, S.; Pötzschke, S.:

Did exposure to asylum seeking migration affect the electoral outcome of the ‘Alternative für Deutschland’ in Berlin? Evidence from the 2019 European elections

In: Computational research in ethnic and migration studies, 193–217. London: Routledge. (2024)    

Sîrbu, A.; Goglia, D.; Kim, J.; Magos, Maximilian P.; Pollacci, L.; Spyratos, S.; Rossetti, G.; Iacus , S. M.:

International mobility between the UK and Europe around Brexit: a data-driven study

Journal of Computational Social Science, 1–32. (2024)    

Tun Mendicuti, A.; Kim, J.; Mulder, C. H.:

Understanding opinions towards migrants in transit: an analysis of tweets on migrant caravans in the US and Mexico

In: WEBSCI '24: proceedings of the 16th ACM Web Science Conference, Stuttgart, Germany, 22-24 May 2024, 1–10. New York, NY: Association for Computing Machinery (ACM). (2024)    

Anastasiadou, A.; Kim, J.; Şanlitürk, A. E.; de Valk, H. A. G.; Zagheni, E.:

Sex- and gender-based differences in the migration process: a systematic literature review

MPIDR Working Paper WP-2023-039. (2023)    

Recent All

Anastasiadou, A.; Kim, J.; Şanlitürk, A. E.; de Valk, H. A. G.; Zagheni, E.:

Gender differences in the migration process: a narrative literature review

Population and Development Review. (2024)    

Pettrachin, A.; Gabrielli, L.; Kim, J.; Ludwig-Dehm, S.; Pötzschke, S.:

Did exposure to asylum seeking migration affect the electoral outcome of the ‘Alternative für Deutschland’ in Berlin? Evidence from the 2019 European elections

In: Computational research in ethnic and migration studies, 193–217. London: Routledge. (2024)    

Sîrbu, A.; Goglia, D.; Kim, J.; Magos, Maximilian P.; Pollacci, L.; Spyratos, S.; Rossetti, G.; Iacus , S. M.:

International mobility between the UK and Europe around Brexit: a data-driven study

Journal of Computational Social Science, 1–32. (2024)    

Tun Mendicuti, A.; Kim, J.; Mulder, C. H.:

Understanding opinions towards migrants in transit: an analysis of tweets on migrant caravans in the US and Mexico

In: WEBSCI '24: proceedings of the 16th ACM Web Science Conference, Stuttgart, Germany, 22-24 May 2024, 1–10. New York, NY: Association for Computing Machinery (ACM). (2024)    

Anastasiadou, A.; Kim, J.; Şanlitürk, A. E.; de Valk, H. A. G.; Zagheni, E.:

Sex- and gender-based differences in the migration process: a systematic literature review

MPIDR Working Paper WP-2023-039. (2023)    

Kashyap, R.; Rinderknecht, R. G.; Akbaritabar, A.; Alburez-Gutierrez, D.; Gil-Clavel, B. S.; Grow, A.; Kim, J.; Leasure, D. R.; Lohmann, S.; Negraia, D. V.; Perrotta, D.; Rampazzo, F.; Tsai, C.-J.; Verhagen, M. D.; Zagheni, E.; Zhao, X.:

Digital and computational demography

In: Research handbook on digital sociology, 48–86. Cheltenham: Edward Elgar Publishing. (2023)

Kim, J.; Wang Sonne, S. E.; Garimella, K.; Grow, A.; Weber, I. G.; Zagheni, E.:

Online social integration of migrants: evidence from Twitter

Migration Studies, 1–28. (2023)    

Kim, J.; Wang Sonne, S. E.; Garimella, K.; Grow, A.; Weber, I. G.; Zagheni, E.:

Online social integration of migrants: evidence from Twitter

MPIDR Working Paper WP-2023-012. (2023)    

Pettrachin, A.; Gabrielli, L.; Kim, J.; Ludwig-Dehm, S.; Pötzschke, S.:

Did exposure to asylum seeking migration affect the electoral outcome of the 'Alternative fur Deutschland' in Berlin? Evidence from the 2019 European elections

Journal of Ethnic and Migration Studies 49:2, 576–600. (2023)    

Chin, A.; Coimbra Vieira, C.; Kim, J.:

Evaluating digital polarization in multi-party systems: evidence from the German Bundestag

In: WebSci '22: proceedings of the 14th ACM Web Science Conference, Barcelona, Spain, 26-29 June 2022, 296–301. New York: Association for Computing Machinery (ACM). (2022)    

Kim, J.; Pollacci, L.; Rossetti, G.; Sîrbu, A.; Giannotti, F.; Pedreschi, D.:

Twitter data for migration studies

In: Data science for migration and mobility, 159–182. Oxford: Oxford University Press. (2022)

Kim, J.; Pratesi, F.; Rossetti, G.; Sîrbu, A.; Giannotti, F.:

Where do migrants and natives belong in a community: a Twitter case study and privacy risk analysis

Social Network Analysis and Mining, 1–23. (2022)    

Kim, J.; Sîrbu, A.; Giannotti, F.; Rossetti, G.; Rapoport, H.:

Origin and destination attachment: study of cultural integration on Twitter

EPJ Data Science 11:55, 1–20. (2022)    

Kim, J.; Sîrbu, A.; Rossetti, G.; Giannotti, F.:

Characterising different communities of Twitter users: migrants and natives

In: Complex networks and their applications X: Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, 130–141. Cham: Springer. (2022)    

The Max Planck Institute for Demographic Research is not responsible for the content of this page.