Professorship for Information Systems, in particular Data Science

Organisational unit: Professoship

Organisation profile

The Business Informatics working group, in particular Data Science, headed by Prof Dr Burkhardt Funk, is dedicated to the development and application of data-driven methods for decision support in companies and public institutions.

Main research areas

The research focus lies on the use of data science and machine learning to analyse large amounts of data in order to optimise processes and decisions. A central topic is the development of intelligent systems that support decisions through data-based predictions. Fields of application include healthcare and various operational functions (e.g. marketing, accounting). We have developed approaches for predicting the effectiveness and personalisation of healthcare interventions, methods for extracting knowledge from documents (business documents, scientific papers) and for optimal budget allocation in marketing.

  1. Published

    Construct relation extraction from scientific papers: Is it automatable yet?

    Funk, B. & Scharfenberger, J., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences. Bui, T. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 4675-4684 10 p. (Hawaii International Conference on System Sciences (HICSS); vol. 2025).

    Research output: Contributions to collected editions/worksPublished abstract in conference proceedingsResearchpeer-review

  2. Published

    Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions

    Zantvoort, K., Nacke, B., Görlich, D., Hornstein, S., Jacobi, C. & Funk, B., 12.2024, In: npj Digital Medicine. 7, 1, 10 p., 361.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    A Universal Digital Stress Management Intervention for Employees: Randomized Controlled Trial with Health-Economic Evaluation

    Freund, J., Smit, F., Lehr, D., Zarski, A. C., Berking, M., Riper, H., Funk, B., Ebert, D. D. & Buntrock, C., 22.10.2024, In: Journal of Medical Internet Research. 26, 13 p., e48481.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Ablation Study of a Multimodal Gat Network on Perfect Synthetic and Real-world Data to Investigate the Influence of Language Models in Invoice Recognition

    Thiée, L. W., 11.09.2024, Document Analysis and Recognition – ICDAR 2024 Workshops: Athens, Greece, August 30–31, 2024 Proceedings, Part II. Mouchère, H. & Zhu, A. (eds.). Cham: Springer Nature AG, Vol. 2. p. 199-212 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14936)(Document analysis and recognition - ICDAR 2024 workshops ; vol. 2).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. Published

    Digitale Kontaktnachverfolgung bei Infektionskrankheiten: Projektstudie ZIL-Kontakt

    Drews, P., Funk, B., Heger, J., Lehr, D., Zimmer, M. P. & Lemmer, K., 22.08.2024, Lüneburg: Leuphana Universität Lüneburg, 25 p.

    Research output: Working paperProject reportsTransfer

  6. Published

    Identifying clinically relevant agranulocytosis in people registered on the UK clozapine Central Non-Rechallenge Database: retrospective cohort study

    Oloyede, E., Bachmann, C. J., Dzahini, O., Lopez Alcaraz, J. M., Singh, S. D., Vallianatu, K., Funk, B., Whiskey, E. & Taylor, D., 11.2024, In: The British Journal of Psychiatry. 225, 5, p. 484-491 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review

    Ciharova, M., Amarti, K., van Breda, W., Peng, X., Lorente-Català, R., Funk, B., Hoogendoorn, M., Koutsouleris, N., Fusar-Poli, P., Karyotaki, E., Cuijpers, P. & Riper, H., 01.10.2024, In: Biological Psychiatry. 96, 7, p. 519-531 13 p.

    Research output: Journal contributionsScientific review articlesResearch

  8. E-pub ahead of print

    Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions

    Zantvoort, K., Hentati Isacsson, N., Funk, B. & Kaldo, V., 15.05.2024, (E-pub ahead of print) In: Digital Health. 10, 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing

    Hornstein, S., Scharfenberger, J., Lueken, U., Wundrack, R. & Hilbert, K., 12.2024, In: npj Digital Medicine. 7, 1, 9 p., 132.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Extraction of information from invoices - challenges in the extraction pipeline

    Thiée, L. W., Krieger, F. & Funk, B., 2023, INFORMATIK 2023: Designing Futures: Zukünfte gestalten, 26. – 29. September 2023, Berlin. Klein, M., Krupka, D., Winter, C. & Wohlgemuth, V. (eds.). Bonn: Gesellschaft für Informatik e.V., p. 1777-1792 16 p. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); vol. P-337).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

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