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Results: 218,144
Number of items: 218,144
  • Open Access
    Senftleben, M. (2026). GenAI and the Copyright Three-Step Test – Do TDM Exceptions for AI Training Conflict with a Work’s Normal Exploitation? GRUR International, 75(1), 1-2. https://doi.org/10.1093/grurint/ikaf113
  • Open Access
    ten Haaft, B. H. E. A. (2026). Treatment of extrahepatic cholangiocarcinoma. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Anggraeni, M. (2026). The cost and value of participation in water governance: A case study of Indonesia. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Rammelt, C. (2026). Two Sides of the Same Coin: A Synthesis of Economic and Ecological Unequal Exchange. Capitalism, Nature, Socialism, 37(2), 220-242. https://doi.org/10.1080/10455752.2025.2579886
  • Open Access
    Zuidhof, P. W. (2026). Expedient economization: Performing emissions trading in the United States, 1960–1990. Economy and Society, 55(1), 97-120. https://doi.org/10.1080/03085147.2025.2604413
  • Open Access
    Smits, T. M. (2026). A Kantian Justification of Fair Shares: Climate Ethics and Imperfect Duties. Ethics, Policy and Environment, 29(1), 1-19. https://doi.org/10.1080/21550085.2024.2412484
  • Open Access
    Hoeben, E. M., & Bernasco, W. (2026). Beyond the Borders of the Residential Neighborhood: Unstructured Socializing, Collective Efficacy, and Adolescent Delinquency. Justice Quarterly, 43(3), 673-695. https://doi.org/10.1080/07418825.2025.2551793
  • Open Access
    Ernst, A. F., & Haslbeck, J. M. B. (2026). Modeling Qualitative Between-Person Heterogeneity in Time-Series using Latent Class Vector Autoregressive Models. Behavior Research Methods, 58(1), Article 28. https://doi.org/10.3758/s13428-025-02909-7
  • Open Access
    Kefala, C. (2026). Beyond Barbie: Representations of whiteness in China’s digital advertising. Global Media and China, 11(1), 79-94. https://doi.org/10.1177/20594364241301522
  • Open Access
    Yiasemis, G. (2026). What we do sample, we must learn to reconstruct: From missing k-space data to meaningful images: Deep learning in MRI reconstruction and beyond. [Thesis, externally prepared, Universiteit van Amsterdam].
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