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

    Self-guided internet-based and mobile-based stress management for employees: results of a randomised controlled trial

    Ebert, D. D., Heber, E., Berking, M., Riper, H., Cuijpers, P., Funk, B. & Lehr, D., 05.05.2016, In: Occupational and Environmental Medicine. 73, 5, p. 315-323 9 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Published

    Carbon Footprint Apps - eine Analyse der Nutzungsintention

    Funk, B., Sagawe, A. & Niemeyer, P., 2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016 : Technische Universität Ilmenau 09. - 11. März 2016 . Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. 2. p. 901-911 11 p. (Multikonferenz Wirtschaftsinformatik, MKWI 2016; vol. 2).

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

  3. Published

    Mentoring in Massive Open Online Courses - Eine Nutzenanalyse auf Basis des IS-Success-Modells

    Drawert, K., Mager, M., Funk, B., Trötschel, R. & Pfeifer, C., 03.2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Technische Universität Ilmenau 09. - 11. März 2016 . Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. 3. p. 1511-1522 12 p. (Multikonferenz Wirtschaftsinformatik, MKWI 2016; vol. 3).

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

  4. Published

    Modeling the Intention to Use Carbon Footprint Apps

    Sagawe, A., Funk, B. & Niemeyer, P., 05.02.2016, Information Technology in Environmental Engineering: Proceedings of the 7th International Conference on Information Technologies in Environmental Engineering (ITEE2015). Gómez, J. M. & Scholtz, B. (eds.). Springer, p. 139-150 12 p. (Springer Proceedings in Business and Economics).

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

  5. Published

    What’s Hot: Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data

    Hoogendoorn, M. & Funk, B., 28.09.2017

    Research output: other publicationsArticles in scientific forums or blogsResearchpeer-review

  6. 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

  7. Published

    Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen: Schwerpunkt Analyse sequenzieller Daten

    Funk, B., Dr. Rettenmeier, M. & Lang, T., 10.2017, In: Wirtschaftsinformatik & Management. 9, 5, p. 16-25 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data

    Hoogendoorn, M. & Funk, B., 2018, 1 ed. Cham: Springer International Publishing AG. 231 p. (Cognitive Systems Monograph; vol. 35)

    Research output: Books and anthologiesMonographsResearchpeer-review

  9. 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

  10. Published

    Predicting the Individual Mood Level based on Diary Data

    Bremer, V., Becker, D., Funk, B. & Lehr, D., 06.2017, Proceedings of the 25th European Conference on Information Systems, ECIS 2017. AIS eLibrary, p. 1161-1177 17 p. (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).

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

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