Dr Simon Ruhnke
Simon Ruhnke has been working as an evaluator at DEval's Competence Center for Evaluation Methodologies since February 2025. As a postdoctoral researcher at the Humboldt University of Berlin, he previously coordinated a transnational research project on migration to and from the Middle East with a focus on Turkey and Lebanon.
Dr. Ruhnke studied economics and philosophy at the University of Göttingen, the Universidad Publica de Navarra and the University of Utah. There he completed his PhD at the Department of Economics on quantifying the health care of undocumented migrants using machine learning.
Key Qualifications
- Methods
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Quantitative methods in empirical social science
Collection, processing and analysis of quantitative (survey) data
Machine Learning
Selected Publications
Ruhnke, S., & Rischke, R. (2024). Predicting mobility aspirations in Lebanon and Turkey: a data-driven exploration using machine learning. Data & Policy, 6, e47. doi.org/10.1017/dap.2024.32
Ruhnke, S., Hertner, L., Köhler, J., & Kluge, U. (2024). Social ecological determinants of the mental distress among Syrian refugees in Lebanon and Turkey: A transnational perspective. Social Science & Medicine, 116700. doi.org/10.1016/j.socscimed.2024.116700
Ruhnke, S., Hertner, L., Gundacker, L., & Wagner, S. (2024). Going from bad to worse? Well-being of Syrian refugees in Turkey in the aftermath of the February 2023 earthquakes (BIM News). Humboldt-Universität zu Berlin. doi.org/10.18452/28152
Gundacker, L., Hertner, L., & Ruhnke, S. (2024). Six years after the EU-Turkey Agreement: A quantitative assessment of the living conditions of Syrians in Turkey (No. 18/2024; IAB-Forschungsbericht). Institut für Arbeitsmarkt- und Berufsforschung. doi.org/10.48720/IAB.FB.2418
Ruhnke, S. A., Reynolds, M. M., Wilson, F. A., & Stimpson, J. P. (2022). A healthy migrant effect? Estimating health outcomes of the undocumented immigrant population in the United States using machine learning. Social Science & Medicine, 307, 115177. doi.org/10.1016/j.socscimed.2022.115177
Ruhnke, S. A., Wilson, F. A., & Stimpson, J. P. (2022). Using machine learning to impute legal status of immigrants in the National Health Interview Survey. MethodsX, 101848. doi.org/10.1016/j.mex.2022.101848
Nunez, J. M., Nellermoe, J., Davis, A., Ruhnke, S., Gonchigjav, B., Bat-Erdene, N., Zorigtbaatar, A., Jalali, A., Bagley, K., Katz, M., Pioli, H., Bat-Erdene, B., Erdene, S., Orgoi, S., Price, R. R., & Lundeg, G. (2022). Establishing a baseline for surgical care in Mongolia: a situational analysis using the six indicators from the Lancet Commission on Global Surgery. BMJ Open, 12(7), e051838. doi.org/10.1136/bmjopen-2021-051838
Ruhnke, S. (2021). The EU-Turkey Deal as a successful Blueprint? (Data Brief No. #1; MERGE X TRANSMIT Data Brief). Humboldt-Universität zu Berlin. www.projekte.hu-berlin.de/en/merge/publications/data-brief-the-eu-turkey-deal-as-a-successful-blueprint
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