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

    Geschäftsprozessintegration mit SAP: Fallstudien zur Steuerung von Wertschöpfungsprozessen entlang der Supply Chain

    Funk, B. (Editor), Marx Gómez, J. (Editor), Niemeyer, P. (Editor) & Teuteberg, F. (Editor), 2010, Berlin: Springer. 270 p.

    Research output: Books and anthologiesMonographsResearch

  2. Published

    Führen mit Hilfe IT-gestützter Workflows

    Funk, B. & Niemeyer, P., 2007, Leadership in distributed organisations: Beherrschung der Distanz in verteilt agierenden Unternehmen Kongressband einer Fachtagung in Lüneburg, Feb. 2007. Hiller, A. & Groß, M. (eds.). vwh-Verlag Werner Hülsbusch, p. 57-74 18 p.

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

  3. Published
  4. 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

  5. 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

  6. Published

    Exploring Price Elasticity to Optimize Posted Prices in e-Commerce

    Funk, B., 2011, e-Business and Telecommunications. S. Obaidat, M. & Filipe, J. (eds.). Berlin, Heidelberg: Springer, p. 71-81 11 p. (Communications in Computer and Information Science; vol. 130 CCIS).

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

  7. Published

    Evaluation of a temporal causal model for predicting the mood of clients in an online therapy

    Becker, D., Bremer, V., Funk, B., Hoogendoorn, M., Rocha, A. & Riper, H., 11.02.2020, In: BMJ mental health. 23, 1, p. 27-33 7 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Evaluating a hybrid web-based training program for panic disorder and agoraphobia: Randomized controlled trial

    Ebenfeld, L., Lehr, D., Ebert, D. D., Stegemann, S. K., Riper, H., Funk, B. & Berking, M., 04.03.2021, In: Journal of Medical Internet Research. 23, 3, 14 p., e20829.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    European COMPARative Effectiveness research on blended Depression treatment versus treatment-as-usual (E-COMPARED): Study protocol for a randomized controlled, non-inferiority trial in eight European countries

    Kleiboer, A., Smit, J., Bosmans, J., Ruwaard, J., Andersson, G., Topooco, N., Berger, T., Krieger, T., Botella, C. M., Banos Rivera, R. M., Chevreul, K., Araya, R., Cerga-Pashoja, A., Cieslak, R., Rogala, A., Vis, C., Draisma, S., van Schaik, D. J., Kemmeren, L., Ebert, D. D., Berking, M., Funk, B., Cuijpers, P. & Riper, H., 03.08.2016, In: Trials. 17, 1, 10 p., 387.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. 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

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