2026W

• Interdisciplinary Lecture Series on Data Science / 194.046 / VU
• Interdisciplinary Project in Data Science / 194.147 / PR

• Why Near-Completion Informatics Students Do not Graduate: A Mixed-Methods Study / Kern, B. M. J., Kraus, J., Tauböck, S. M., & Knees, P. (2026). Why Near-Completion Informatics Students Do not Graduate: A Mixed-Methods Study. In Association for Computing Machinery (Ed.), ITiCSE 2026: Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 1 (pp. 238–244). ACM. https://doi.org/10.1145/3803400.3809347
• Re-Engaging Near-Completion Informatics Students / Kern, B. M. J., Kraus, J., & Tauböck, S. M. (2026). Re-Engaging Near-Completion Informatics Students. In Association for Computing Machinery (Ed.), ITiCSE 2026: Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 2 (pp. 903–903). https://doi.org/10.1145/3803401.3812040
• Towards a Comprehensive Understanding of Replication in Computing Education / Garcia Rita, Zavaleta Bernuy, A., Bouvier, D., Heckman, S., Kern, B. M. J., Krause-Levy, S., Liut, M., Nasir Usman, Yuhan Pan, & Sperling, J. (2026). Towards a Comprehensive Understanding of Replication in Computing Education. In Association for Computing Machinery (Ed.), ITiCSE 2026: Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 2 (pp. 735–736). https://doi.org/10.1145/3803401.3812048
• The Need for Tailored Support for Long-Term Students in Informatics Bachelor’s Programmes / König, F. L., Kern, B. M. J., & Knees, P. (2025). The Need for Tailored Support for Long-Term Students in Informatics Bachelor’s Programmes. In A. Curaj, C. M. Hâj, & R. Pricopie (Eds.), European Higher Education Area 2030: Bridging Realities for Tomorrow’s Higher Education (pp. 285–293). Springer. https://doi.org/10.1007/978-3-031-75140-0_17
  Download: Full paper (236 KB)
• Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research / Staudinger, M., Kern, B. M. J., Miksa, T., Arnhold, L., Knees, P., Rauber, A., & Hanbury, A. (2024). Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research. In Proceedings 2024 IEEE 20th International Conference on e-Science (e-Science). IEEE eScience 2024, Osaka, Japan. IEEE. https://doi.org/10.1109/e-Science62913.2024.10678657
  Projects: FAIR-AI (2024–2026) / HumRec (2021–2025)
• Improving Dropout Prediction for Informatics Bachelor Students / Kern, B. M. J. (2024). Improving Dropout Prediction for Informatics Bachelor Students. In Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2 (pp. 830–831). https://doi.org/10.1145/3649405.3659472
• Factors influencing perceptions of trust in data infrastructures / Flicker, K., Rauber, A., Kern, B., & Ekaputra, F. J. (2024). Factors influencing perceptions of trust in data infrastructures. International Journal of Digital Curation, 18(1). https://doi.org/10.2218/ijdc.v18i1.921
  Download: PDF (756 KB)
  Projects: EOSC Focus (2022–2025) / EOSCSecretariat.eu (2019–2021)
• The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers / Kolb, T. E., Sekanina, K., Kern, B. M. J., Neidhardt, J., Wissik, T., & Baumann, A. (2022). The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers. In LREC 2022 Conference Proceedings (pp. 4708–4716). European Language Resources Association. https://doi.org/10.34726/4101
  Download: PDF (604 KB)
  Project: DYSEN (2020–2021)
• Evaluating Active and Assisted Living technologies: Critical methodological reflections based on a longitudinal randomized controlled trial / Bieg, T., Gerdenitsch, C., Schwaninger, I., Kern, B. M. J., & Frauenberger, C. (2022). Evaluating Active and Assisted Living technologies: Critical methodological reflections based on a longitudinal randomized controlled trial. Computers in Human Behavior, 133(107249), 107249. https://doi.org/10.1016/j.chb.2022.107249
• Creating an Austrian language polarity dictionary with the crowd / Kolb, T. E., Sekanina, K., Kern, B. M. J., Neidhardt, J., Baumann, A., & Wissik, T. (2021, December 11). Creating an Austrian language polarity dictionary with the crowd [Conference Presentation]. Workshop: “Österreichisches Treffen zu Sentimentinferenz (ÖTSI)” der Österreichischen Linguistik-Tagung 2021, Austria. http://hdl.handle.net/20.500.12708/153831
  Download: Slides of the Presentation (1.08 MB)
  Project: DYSEN (2020–2021)
• A review and cluster analysis of German polarity resources for sentiment analysis / Kern, B., Baumann, A., Kolb, T., Sekanina, K., Hofmann, K., Wissik, T., & Neidhardt, J. (2021). A review and cluster analysis of German polarity resources for sentiment analysis. In 3rd Conference on Language, Data and Knowledge (LDK 2021) (pp. 1–17). OASICS. https://doi.org/10.4230/OASIcs.LDK.2021.37
• Exploring Causal Relationships Among Emotional and Topical Trajectories in Political Text Data / Baumann, A., Hofmann, K., Kern, B., Marakasova, A., Neidhardt, J., & Wissik, T. (2021). Exploring Causal Relationships Among Emotional and Topical Trajectories in Political Text Data. In 3rd Conference on Language, Data and Knowledge (LDK 2021) (pp. 1–8). OASICS. https://doi.org/10.4230/OASIcs.LDK.2021.38