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Eller, K. H., Friedman, T., Herrmann, T., Mittwoch, A.-C., Rühmkorf, A., Schönfelder, D., & Vanpeperstraete, B. (2026). Lieferkettenregulierung jenseits des Omnibusses: Die Bedeutung von Digitalisierung und Stakeholder-Dialog für CSDDD und LkSG. KlimaRZ, 5, 3-10. https://www.juris.de/jportal/nav/news-abstracts/jaktuell-klimarz-2026-1-002-3.jsp -
Verboeket, L., & van den Brink, J. (2026). Automated Administrative Decisions and Due Process: A Comparative Analysis. Netherlands. Italian Journal of Public Law, 18(1), 124-141, 213-215, 239-241, 264-266, 283-286, 301-303, 318-322, 339-343, 505-506, 515. https://www.ijpl.eu/wp-content/uploads/2026/02/IJPL-1-2026-Special-Issue-AutAD.pdf -
Brown, P., & Scamell, M. (2026). Organisational Management of Risk and Uncertainty Through Clinical Governance in Maternity Care. In M. Scamell, K. Coxon, & R. De Vries (Eds.), Risk and Uncertainty in Maternity Care: Putting Risk in Its Place (pp. 373-392). (Critical Studies in Risk and Uncertainty). Palgrave Macmillan. https://doi.org/10.1007/978-3-032-02731-3_18 -
Zwanenburg, M. (2026). Legal Issues Arising from the Military Use of AI-Supported Biometrics. International Law Studies (Naval War College), 107, 152-183. https://digital-commons.usnwc.edu/ils/vol107/iss1/5/ -
Dodds, T., & Geboers, M. (2026). Advancing Mixed Digital Methods: Digital Ethnography and Digital Methods in Contemporary Media Cultures. In J. Hendrickx, & M. Opgenhaffen (Eds.), Research Methods for Social Media Journalism (pp. 25-38). (Routledge Research in Journalism; Vol. 60). Routledge. https://doi.org/10.4324/9781003568766-4 -
Klonowska, K., & Kwik, J. (2026). Artificial intelligence in contemporary conflicts and the future of military law. In P. A. L. Ducheine, T. D. Gill, P. B. M. J. Pijpers, & M. C. Zwanenburg (Eds.), A Research Agenda for Military Law (pp. 97-113). (Elgar Research Agendas). Edward Elgar Publishing. https://doi.org/10.4337/9781035353507.00017 -
Melnikov, O., Dorofieiev, Y., Shakhnovskiy, Y., Truong, H., & Degeler, V. (2026). A Multivariate Statistical Framework for Detection, Classification and Pre-localization of Anomalies in Water Distribution Networks. Expert Systems With Applications, 313, Article 131450. https://doi.org/10.1016/j.eswa.2026.131450 -
Sato, T., Fujimoto, S.-I., Mori, K., Kurashima, J., Nakajima, H., Plucinsky, P. P., Agarwal, M., Gu, L., Foster, A., Matsunaga, K., Uchida, H., Bamba, A., Vink, J., Terada, Y., Matsumoto, H., Corrales, L., Murakami, H., Katsuda, S., Sawada, M., ... Yamaguchi, H. (2026). Asymmetric Distribution of Fe-peak Elements in Cassiopeia A Revealed by XRISM. Astrophysical Journal, 1001(1), Article 46. https://doi.org/10.3847/1538-4357/ae3753 -
Khalymon, S., Chlevickaitė, G., Kuryliuk, Y., Nikolaienko, T., & Stepanova, Y. (2026). War, martial law, and mobilisation: Exploring the characteristics of human smuggling at Ukraine’s borders in 2022–2023. European Journal of Criminology, 23(1), 110-134. https://doi.org/10.1177/14773708251318476 -
Vaidis, D. C., Miranda, J. F., Buchanan, E. M., Yang, Y. F., Kowal, M., Schmidt, K., Topor, M., Misiak, M., Miller, R., Protzko, J., Gjoneska, B., Miller, J. K., Exner, A., Azevedo, F., Paruzel-Czachura, M., Mushtaq, F., Oliveira, C., Wagge, J. R., De Moor, D., ... Pronizius, E. (2026). The Advantage of Big Team Science: Lessons Learned From Cognitive Science. Collabra: Psychology, 12, Article 160129. https://doi.org/10.1525/collabra.160129
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