Search results
Results: 6
Number of items: 6
-
van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. M. A. (2025). Opportunistic Organization of Illicit Supply Chains. Journal of Quantitative Criminology, 41(4), 623-646. https://doi.org/10.1007/s10940-025-09613-x -
van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. M. A. (2023). Promises and pitfalls of computational modelling for insurgency conflicts. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 20(3), 333-350. https://doi.org/10.1177/15485129211073612 -
Van Der Zwet, K. (2022). Replication Data for: Emergence of protests during the COVID-19 pandemic: quantitative models to explore the contributions of societal conditions [Data set]. Harvard Dataverse. https://doi.org/10.7910/dvn/2zv4yz
-
van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. M. A. (2022). Emergence of protests during the COVID-19 pandemic: quantitative models to explore the contributions of societal conditions. Humanities and Social Sciences Communications, 9, Article 68. https://doi.org/10.1057/s41599-022-01082-y -
van der Zwet, K., Barros, A. I., van Engers, T. M., & van der Vecht, B. (2019). An agent-based model for emergent opponent behavior. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019 : proceedings (Vol. II, pp. 290-303). (Lecture Notes in Computer Science; Vol. 11537). Springer. https://doi.org/10.1007/978-3-030-22741-8_21
Page of