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. 2025
  2. 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

  3. 2024
  4. 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

  5. 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

  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

    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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 2023
  13. Published

    Finding the Best Match — a Case Study on the (Text‑) Feature and Model Choice in Digital Mental Health Interventions

    Zantvoort, K., Scharfenberger, J., Boß, L., Lehr, D. & Funk, B., 12.2023, In: Journal of Healthcare Informatics Research. 7, 4, p. 447-479 33 p., 00148.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  14. Published

    Automated Invoice Processing: Machine Learning-Based Information Extraction for Long Tail Suppliers

    Krieger, F., Drews, P. & Funk, B., 01.11.2023, In: Intelligent Systems with Applications. 20, 14 p., 200285.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  15. Published

    Understanding the first-offer conundrum: How buyer offers impact sale price and impasse risk in 26 million eBay negotiations

    Schweinsberg, M., Petrowsky, H. M., Funk, B. & Loschelder, D. D., 01.08.2023, In: Proceedings of the National Academy of Sciences (USA). 120, 32, e2218582120.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  16. Published

    Parsing Causal Models – An Instance Segmentation Approach

    Scharfenberger, J. & Funk, B., 08.06.2023, Intelligent Information Systems - CAiSE Forum 2023, Proceedings. Cabanillas, C. & Pérez, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 43-51 9 p. (Lecture Notes in Business Information Processing; vol. 477 LNBIP).

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

  17. Published

    Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms

    Hornstein, S., Zantvoort, K., Lueken, U., Funk, B. & Hilbert, K., 22.05.2023, In: Frontiers in Digital Health. 5, 14 p., 1170002.

    Research output: Journal contributionsScientific review articlesResearch

  18. Published

    Editorial: Quantitative modeling of psychopathology using passively collected data

    Jacobson, N. C., Funk, B. & Abdullah, S., 24.01.2023, In: Frontiers in Psychology. 13, 2 p., 1126971.

    Research output: Journal contributionsOther (editorial matter etc.)Research

  19. Published

    Deal or no deal? How round vs precise percentage offers and price-ending mimicry affect impasse risk in over 25 million eBay negotiations

    Petrowsky, H. M., Schweinsberg, M., Seitz, L., Funk, B. & Loschelder, D. D., 01.01.2023, In: Journal of Economic Psychology. 94, 10 p., 102584.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  20. Published

    Digital guided self-help for eating disorders: thematic analysis of participant text messages to coaches

    Sadeh-Sharvit, S., Idan, O., Fowler, L. A., Fitzsimmons-Craft, E. E., Firebaugh, M.-L., Smith, A., Graham, A. K., Goelf , N. J., Flatt, R. E., Balantekinh, K. N., Monterubiod, G. E., Karam, A. M., Funk, B., Trockel, M. T., Wilfley, D. E. & Taylor, C. B., 2023, In: Eating Disorders, The Journal of Treatment & Prevention. 31, 2, p. 191-199 9 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  21. 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

  22. 2022
  23. Published

    Watch out, pothole! Featuring Road Damage Detection in an End-to-end System for Autonomous Driving

    Kortmann, F., Faßmeyer, P., Funk, B. & Drews, P., 01.11.2022, In: Data and Knowledge Engineering. 142, 102091.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  24. Published

    Transformation verstehen lernen: Nachhaltigkeitsbildung und Data Literacy Education in der Studieneingangsphase

    Weiser, A., van Deest, J. & Barth, M., 26.09.2022, Digitale Bildung für nachhaltige Entwicklung: Herausforderungen und Perspektiven für die Hochschulbildung. Weselek, J., Kohler, F. & Siegmund, A. (eds.). Springer, p. 53-65 13 p.

    Research output: Contributions to collected editions/worksChapter

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