Senior Researcher
Birgit Stoltenberg
Birgit Stoltenberg's focus is on mathematical models, statistical methods, optimization, algorithms and automated data processing.
Thematically, she is interested in sustainability and conducts theoretical and experimental research on product labels from a consumer perspective.
In the past, she was responsible for the development and supervision of a marketing mix simulation tool used in market research in client projects. In doing so, she has continuously integrated new procedures/techniques/software from research into the tool.
Short CV
- Nuremberg Institute for Market Decisions(before GfK Association), Data Science Research Group and Future & Trends Research Group
- GfK Association, Fundamental Research
- Studied business mathematics at the University of Augsburg
Current projects
Selected publications
- Stoltenberg, B., Manewitsch, V., & Unfried, M. (2023). How much is the (labelled) pig? Effectiveness of and willingness to pay for the German animal husbandry label, NIM Working Paper Series, 8.
- Stoltenberg, B., Unfried, M., & Manewitsch, V. (2022). Better Product Labels for Better Consumer Choices. NIM Marketing Intelligence Review, 14(1), 49-53. https://doi.org/10.2478/nimmir-2022-0008
- Buder, F., Stoltenberg, B., Kahdemann, D. & Dietrich, H. (2020). Artificial Intelligence: Broken Promises and Achievements. NIM Research Report (Short Report).
- Stoltenberg, B. (2016). Using logit on big data – From iterative methods to analytical solutions. GfK Verein Working Paper Series, 2016(3).
- Wildner, R. & Scherübl, B. (2005). Modellgestützte Analyse, Simulation und Prognose mit Verbraucherpaneldaten: Der GfK Brand Simulator. Jahrbuch der Absatz- und Verbrauchsforschung, 51(4), 332-354.