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
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
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
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
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
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
Walterskirchen, J. (2026). Text as data for crisis-early warning: A comparative assessment of NLP methods for conflict prediction. Conflict Management and Peace Science, 0(0).
Brodeur, A., Mikola, D., Cook, N. et al. Reproducibility and robustness of economics and political science research. Nature 652, 151–156 (2026). https://doi.org/10.1038/s41586-026-10251-x
Walterskirchen, J., Oswald, C., Häffner, S., & Binetti, M. (2026). Taking time seriously: Predicting conflict fatalities using temporal fusion transformers. International Interactions, 1–20. https://doi.org/10.1080/03050629.2026.2656637
Teaching