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Jakob Andersen, M.Sc.

Room: D 215

Phone: +49 (40) 42883 -2305

E-mail: andersen(at)informatik.uni-hamburg.de



Jakob Andersen is a research associate at the Applied Software Engineering Group (MAST) at the University of Hamburg. He holds a master’s degree (M.Sc.) in Information Systems from the University of Hamburg and a bachelor’s degree in Business Informatics (best graduate) from the HAW-Hamburg. Currently he is part of the Forum 4.0 project.    



  • Human-in-the-Loop Machine Learning
  • Uncertainty Awareness
  • Natural Language Processing


  • Forum 4.0


  • Haering, M., Andersen, J. S., Biemann, C., Loosen, W., Milde, B., Pietz, T., Stoecker, C., Wiedemann, G., Zukunft, O., Maalej, W. (2021). Forum 4.0: An Open-Source User Comment Analysis Framework. In Proceedings of the Software Demonstrations of the 16th Conference of the European Chapter of the Association for Computational Linguistics (Forthcoming).
  • Andersen, J. S., Schöner, T., & Maalej, W. (2020). Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs. In Proceedings of the 28th International Conference on Computational Linguistics (pp. 5541-5546).
  • Tropmann-Frick, M., & Andersen, J. S. (2019). Towards Visual Data Science-An Exploration. In Proceedings of the International Conference on Human Interaction and Emerging Technologies (pp. 371-377). Springer
  • Andersen, J. S. (2019). A User Centric Visual Analytics Framework for News Discussions. In Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference.
  • Andersen, J. S., & Zukunft, O. (2016). Semi-clustering that scales: an empirical evaluation of GraphX. In 2016 IEEE International Congress on Big Data (BigData Congress) (pp. 333-336). IEEE.
  • Andersen, J. S., & Zukunft, O. (2016). Evaluating the scaling of graph-algorithms for big data using graphx. In 2016 2nd International Conference on Open and Big Data (OBD) (pp. 1-8). IEEE.