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Habicht, Y., & Hermans, M. (2023). De nood is hoog! Over het belang van juridisch-dogmatisch onderzoek en het bijdragen aan het oplossen van maatschappelijke opgaven. Ars Aequi, 72(9), 704-708. https://arsaequi.nl/product/de-nood-is-hoog/ -
Lopes Cardozo, M. T. A. (2023). Walking the talk: autoethnographic reflections on co-creating regenerative education within international development studies. Third World Quarterly, 44(7), 1625-1642. https://doi.org/10.1080/01436597.2023.2197206 -
Farmer, R., Renzo, M., Götberg, Y., Bellinger, E., Justham, S., & de Mink, S. E. (2023). Observational predictions for Thorne-Żytkow objects. Monthly Notices of the Royal Astronomical Society, 524(2), 1692-1709. https://doi.org/10.1093/mnras/stad1977 -
Xin, R., Chen, P., & Zhao, Z. (2023). CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications. Journal of Systems and Software, 203, Article 111724. https://doi.org/10.1016/j.jss.2023.111724 -
Barancová, A., Wevers, M., & van Noord, N. (2023). Blind Dates: Examining the Expression of Temporality in Historical Photographs. In A. Šeļa, F. Jannidis, & I. Romanowska (Eds.), Proceedings of the Computational Humanities Research Conference 2023: Paris, France, December 6-8, 2023 (pp. 490-499). (CEUR Workshop Proceedings; Vol. 3558). CEUR-WS. https://ceur-ws.org/Vol-3558/paper5790.pdf -
Felder, M., Favre, G., Tulin, M., & Koutsolampros, P. (2023). Acquaintances or Familiar Strangers? How Similarity and Spatial Proximity Shape Neighbour Relations within Residential Buildings. Housing, Theory and Society, 40(5), 642-659. https://doi.org/10.1080/14036096.2023.2247404 -
da Silveira Cachola, C., Ciotta, M., Azevedo dos Santos, A., & Peyerl, D. (2023). Deploying of the carbon capture technologies for CO2 emission mitigation in the industrial sectors. Carbon Capture Science and Technology, 7, Article 100102. https://doi.org/10.1016/j.ccst.2023.100102 -
Helm, P., de Götzen, A., Cernuzzi, L., Hume, A., Diwakar, S., Ruiz Correa, S., & Gatica-Perez, D. (2023). Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism. Big Data and Society, 10(2). https://doi.org/10.1177/20539517231206802
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