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. 2018
  2. Published

    A health economic outcome evaluation of an internet-based mobile-supported stress management intervention for employees

    Ebert, D. D., Kählke, F., Buntrock, C., Berking, M., Smit, F., Heber, E., Baumeister, H., Funk, B., Riper, H. & Lehr, D., 02.2018, In: Scandinavian Journal of Work, Environment and Health. 44, 2, p. 171-182 12 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    Multikonferenz Wirtschaftsinformatik 2018: Data driven X — Turning Data into Value

    Drews, P. (Editor), Funk, B. (Editor), Niemeyer, P. (Editor) & Xie, L. (Editor), 14.03.2018, Lüneburg: Institut für Wirtschaftsinformatik. 2094 p.

    Research output: Books and anthologiesConference proceedingsResearch

  4. Published

    Web-based intervention for depressive symptoms in adults with types 1 and 2 diabetes mellitus: a health economic evaluation

    Nobis, S., Ebert, D. D., Lehr, D., Smit, F., Buntrock, C., Berking, M., Baumeister, H., Snoek, F., Funk, B. & Riper, H., 04.2018, In: The British Journal of Psychiatry. 212, 4, p. 199-206 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Published

    Predicting Therapy Success For Treatment as Usual and Blended Treatment in the Domain of Depression

    van Breda, W. R. J., Bremer, V., Becker, D., Funk, B., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, p. 100-104 5 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Predictive modeling in e-mental health: A common language framework

    Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, Juni 2018, p. 57-67 11 p.

    Research output: Journal contributionsScientific review articlesResearch

  7. Published
  8. Published

    Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis

    Bremer, V., Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M. & Riper, H., 21.08.2018, In: Journal of Medical Internet Research. 20, 8, 11 p., e10275.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. 2019
  10. Published

    A two-step approach for the prediction of mood levels based on diary data

    Bremer, V., Becker, D., Genz, T., Funk, B. & Lehr, D., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings: European Conference, ECML PKDD 2018, Dublin, Ireland. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurley, N. (eds.). Cham: Springer International Publishing AG, p. 626-629 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

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

  11. Published

    DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research

    Dann, D., Maedche, A., Teubner, T., Mueller, B., Meske, C. & Funk, B., 2019, ICIS 2019 Proceedings: IS research methods, theorizing and philosophy of science. Association for Information Systems, 9 p. Paper ID 2785. (40th International Conference on Information Systems, ICIS 2019).

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

  12. Published

    Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics

    Lommel, L., Riebeling, M., Funk, B. & Junginger, C., 2019, Human Practice. Digital Ecologies. Our Future: 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Tagungsband . Ludwig, T. & Pipek, V. (eds.). Siegen: Universitätsverlag Siegen, p. 453-467 15 p.

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

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