CV

Download PDF Version here. Last Updated: Jan. 2026

Education

• PhD in Political Science, University of Gothenburg, ongoing
• M.Sc. in International Relations, University of Essex, 2017
• B.A. in Political Science, University of Innsbruck, 2016

Work and Research Experience

• Sep. 2024 - ongoing PhD Student
  • Department of Political Science, University of Gothenburg.
• Sep. 2021 - 2024 Research Associate
  • Center for Crisis Early Warning, University of the Bundeswehr, Munich. ”Integrating unstructured data sources to improve crisis early warning models”. Director: Prof. Dr. Carlo Masala.
• Mar. 2021 - Sep. 2021 Research Associate
  • Crisis Early Warning - IT Support, Center for Intelligence and Security Studies (CISS), University of the German Federal Armed Forces. ”Validation of computer-assisted methods to improve crisis early warning models”. Project manager: Prof. Dr. Carlo Masala.
• Mar. 2019 - Feb. 2021 Research Assistant
  • Department of Political Science of the University of Innsbruck - OeNB funded project. ”Sanction dynamics in the cases of North Korea, Iran and Russia: Objectives, Measures and Effects”. Supervised by Prof. Dr. Gerhard Mangott.
• Apr. 2018 - Jan. 2019 Prevention of Violent Extremism (PVE) Consultant
  • United Nations Office of Counter-Terrorism, New York City.
• Sept. 2017 - Feb. 2018 Political Affairs Intern
  • United Nations Office of Counter-Terrorism, New York City.

Publications

A Cross-National Analysis of Forced Population Resettlement in Counterinsurgency Campaigns

Böhmelt, Tobias, Dworschak, Christoph, Pilster, Ulrich and Walterskirchen, Julian. "A Cross-National Analysis of Forced Population Resettlement in Counterinsurgency Campaigns" Peace Economics, Peace Science and Public Policy, vol. 26, no. 1, 2020, pp. 20190022. https://doi.org/10.1515/peps-2019-0022

Sanction Dynamics in the Cases of North Korea, Iran, and Russia

Walterskirchen, J., Mangott, G., Wend, C. (2022). Sanction Dynamics in the Cases of North Korea, Iran, and Russia: Objectives, Measures and Effects. SpringerBriefs in International Relations. doi:10.1007/978-3-031-17397-4

Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction

Häffner, S., Hofer, M., Nagl, M., & Walterskirchen, J. (2023). Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction. Political Analysis, 31(4), 481-499. doi:10.1017/pan.2023.7

Replication of The Morning After: Report from the Nottingham Replication Games

Oswald, C., Walterskirchen, J., Häffner, S., Binetti, M. N., & Dworschak, C. (2023, July 5). Replication of The Morning After: Report from the Nottingham Replication Games. https://doi.org/10.31235/osf.io/a2d5p

Computational and Robustness Reproducibility of UN Peacekeeping and Democratization in Conflict-Affected Countries

Oswald, C., Walterskirchen, J. (2023, July 5). Computational and Robustness Reproducibility of UN Peacekeeping and Democratization in Conflict-Affected Countries. https://hdl.handle.net/10419/301427

Text as Data for Crisis-Early Warning: A Comparative Assessment of NLP Methods for Conflict Prediction

Walterskirchen, J. (2026). Text as Data for Crisis-Early Warning: A Comparative Assessment of NLP Methods for Conflict Prediction. Conflict Management and Peace Science

Taking time seriously: Predicting conflict fatalities using temporal fusion transformers

Walterskirchen J, Oswald C, Häffner S, Binetti MN. Taking time seriously: Predicting conflict fatalities using temporal fusion transformers. Conditionally accepted, International Interactions

Teaching

Statistics for Sociel Sciences using R

Statistics for Sociel Sciences using R

Applied Methods of Social Sciences