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Julian Walterskirchen
Julian Walterskirchen
PhD Student, Department of Political Science, University of Gothenburg
在 gu.se 的电子邮件经过验证
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Mass Reproducibility and Replicability: A New Hope
A Brodeur, D Mikola, N Cook, T Brailey, R Briggs, A de Gendre, Y Dupraz, ...
I4R Discussion Paper Series, 2024
162024
Introducing an interpretable deep learning approach to domain-specific dictionary creation: A use case for conflict prediction
S Häffner, M Hofer, M Nagl, J Walterskirchen
Political Analysis 31 (4), 481-499, 2023
162023
Sanction Dynamics in the Cases of North Korea, Iran, and Russia: Objectives, Measures and Effects
J Walterskirchen, G Mangott, C Wend
https://link.springer.com/book/9783031173967, 2022
62022
Taking time seriously: Predicting conflict fatalities using temporal fusion transformers
J Walterskirchen, S Häffner, C Oswald, M Binetti
Preprint, 2024
22024
Replication of The Morning After: Report from the Nottingham Replication Games
C Oswald, J Walterskirchen, S Häffner, M Binetti, C Dworschak
I4R Discussion Paper Series, 2023
22023
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
H Hegre, P Vesco, M Colaresi, J Vestby, A Timlick, NS Kazmi, F Becker, ...
arXiv preprint arXiv:2407.11045, 2024
12024
A Cross-National Analysis of Forced Population Resettlement in Counterinsurgency Campaigns
T Böhmelt, C Dworschak, U Pilster, J Walterskirchen
Peace Economics, Peace Science and Public Policy 26 (1), 20190022, 2020
12020
The night before or the morning after: Coup risk, failed coup attempts, and minister removals in autocracies
C Oswald, J Walterskirchen, S Häffner, M Binetti, C Dworschak
OSF, 2024
2024
Computational and Robustness Reproducibility of" UN Peacekeeping and Democratization in Conflict-Affected Countries"
C Oswald, J Walterskirchen
I4R Discussion Paper Series, 2024
2024
Text as Data for Crisis-Early Warning: A Comparative Assessment of NLP Methods for Conflict Prediction
J Walterskirchen, S Häffner
OSF, 0
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