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DeRock, D., & Mügge, D. (2026). The statistical trilemma: built-in limitations of international economic statistics. International Relations, 40(1), 74-96. https://doi.org/10.1177/00471178231201489 -
Beentjes, I., Haagmans, M. A., de Bruin, D. D. S. H., Permana, A., Pośpiech, E., Branicki, W., M'charek, A. A., van der Gaag, K. J., Sijen, T., & Henneman, P. (2026). DNA methylation-based forensic framework for age prediction and body fluid identification using nanopore sequencing. Forensic Science International: Genetics, 81, Article 103370. https://doi.org/10.1016/j.fsigen.2025.103370 -
Watson, S., & van Eck, E. C. (2026). Making the invisible visible in city spaces: The hidden labour practices of market traders. Urban Studies, 63(1), 173-188. https://doi.org/10.1177/00420980251344160 -
Lang, L., de Mulatier, C., Quax, R., & Forré, P. (2026). Abstract Markov Random Fields. Compositionality, 8, Article 1. https://doi.org/10.46298/compositionality-8-1 -
Cortés, G., Esteban Casadevall, M., Feng, Y., Henkel, J., Hirst, E., Schettini Gherardini, T., & G. Stapleton, A. (2026). A Machine Learning Approach to the Nirenberg Problem. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2602.12368 -
De Bruycker, I., Hanegraaff, M., & Willems, E. (2026). Socioeconomic (in)congruence in EU public policy: the role of civil society. West European Politics, 49(4), 905-933. https://doi.org/10.1080/01402382.2025.2475664
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