(2017):
Dyadische Analyse regionaler Arbeitsmarktmobilität: Modellierung von Entscheidungsprozessen im Mehrebenenkontext.
Wiesbaden,
Springer VS.
More
Dr. Christoph Kern
Project Director and External Fellow
Projekte — current
- Adaption und Evaluation von multimodalen Sprachmodellen zur Analyse digitaler Verhaltensdaten
- Faire KI und algorithmische Entscheidungsfindung durch demokratische Partizipation
- Soziale Auswirkungen KI-basierter Entscheidungen im Smart City Kontext
- Fairness in automatischen Entscheidungssystemen (FairADM)
- Vorhersagebasierte adaptive Designs für Panelstudien
Publikation — recent
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(2025): Longitudinal Nonresponse Prediction with Time Series Machine Learning. Journal of Survey Statistics and Methodology, 13, 1, 128-159. More
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(2024): Latent Variable Forests for Latent Variable Score Estimation. Educational and Psychological Measurement, 84, 6, 1138-1172. More
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(2024): Multi-accurate CATE is robust to unknown covariate shifts. Transactions on Machine Learning Research, 1-59. More
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(2024): Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production. AStA Wirtschafts-und Sozialstatistisches Archiv, 18, 2, 131-184. More
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(2024): Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector. Government Information Quarterly, 41, 4, (article no.101976), pp. 1-22. More
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(2024): Detecting Differential Item Functioning in Multidimensional Graded Response Models with Recursive Partitioning. Applied Psychological Measurement, 48, 3, 83-103. More
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(2024): When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes. ACM Journal of Responsible Computing, 1, 4, (article no. 24), pp. 1-30. More
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(2023): Predicting Nonresponse in Future Waves of a Probability-Based Mixed-Mode Panel with Machine Learning. Journal of Survey Statistics and Methodology, 11, 1, 100-123. More
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(2023): The impact of modeling decisions in statistical profiling. Data & Policy, 5, (article-no. e32), pp. 1-19. More
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(2022): Social impacts of algorithmic decision-making: A research agenda for the social sciences. Big Data & Society, 1-13 (e-only). More
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(2022): From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making. Frontiers in Sociology , 7, (article no. 883999), pp. 1-18. More
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(2022): A preregistered vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers. Politics and the Life Sciences, 41, 2, 161–181. More
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(2022): Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. Patterns, 3, 10, (article no. 100591) e-only. More
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(2022): Understanding political news media consumption with digital trace data and natural language processing. Journal of the Royal Statistical Society: Series A, Statistics in Society, 185, S2, S246-S269. More
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(2022): Universal adaptability: Target-independent inference that competes with propensity scoring. Proceedings of the National Academy of Sciences, 119, 4, (article no. e2108097119), pp. 1-6. More
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(2021): Predicting voting behavior using digital trace data. Social Science Computer Review, 39, 5, 862–883. More
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(2021): Completion Conditions and Response Behavior in Smartphone Surveys: A Prediction Approach Using Acceleration Data. Social Science Computer Review, 39, 6, 1253–1271. More
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(2021): Global Trends and Predictors of Face Mask Usage During the COVID-19 Pandemic. BMC Public Health, 21, (article no. 2099). Ithaca, NY, Cornell University. More
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(2021): mcboost: Multi-Calibration Boosting for R. Journal of Open Source Software, 6, 64, (article no. 3453). More
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(2021): Boosted Kernel Weighting - Using Statistical Learning to Improve Inference From Nonprobability Samples. Journal of Survey Statistics and Methodology, 9, 5, 1088–1113. More
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(2021): Migration, Social Stratification and Dynamic Effects on Subjective Well Being. Advances in Life Course Research, 48, June 2021, (article no. 100393). More
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(2019): Tree-based machine learning methods for survey research. Survey Research Methods, 13, 1, 73-93. More
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(2018): Modelling Decision-Making Processes of Regional Mobility in a Dyadic Framework. European Sociological Review, 34, 4, 433-451. More
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(2015): Modeling mobility dispositions from a multilevel perspective. Journal of Contextual Economics – Schmollers Jahrbuch, 135, 1, 23-34. More
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(2015): Comparing coefficients of nonlinear multivariate regression models between equations. Survey Research Methods, 9, 3, 159-167. More
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(2024): Research Avenues for Studying Effects of Algorithmic Decision-Making Systems on Social Inequality. [Digital Inequalities Symposium for Early-Career Researchers, Paris, 18/12/2024 - 18/12/2024]. More
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(2023): Humans vs. Machines: Who is Perceived to Decide Fairer? An Experiment about Citizens’ Attitudes. [The 2nd International Conference on Hybrid Human-Artificial Intelligence, Munich, 25/06/2023 - 29/06/2023]. More
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(2023): Using survey experiments and agent-based modeling to simulate mobility behavior in smart cities. [10th Conference of the European Survey Research Association, Milan, 16/07/2023 - 20/07/2023]. More
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(2022): In which situations are people likely to share their health data? A vignette experiment on willingness to donate three different types of health data. [Frühjahrstagung der Sektion Methoden der empirischen Sozialforschung der Deutschen Gesellschaft für Soziologie (DGS), (virtual conference), 24/03/2022 - 25/03/2022]. More
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(2021): A vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers. [Science and Politics: Changing Attitudes and Emerging Methodologies, (virtual workshop), 04/11/2021 - 06/11/2021]. More
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(2020): Exploring Impacts of Artificial Intelligence on Urban Societies with Social Simulations. [40. Kongress der Deutschen Gesellschaft für Soziologie, (virtual conference), 13/09/2020 - 23/09/2020]. More
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(2020): Using predictive modelling to identify panel nonresponse. 7, 206-214. Putrajaya, Department of Statistics Malaysia (DOSM). More
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(2022): Uncertainty-aware predictive modeling for fair data-driven decisions. 11. Ithaca, NY, Cornell University. More
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(2022): The Sound of Respondents: Predicting Respondents’ Level of Interest with Voice Data in Smartphone Surveys. 21. Rochester, NY, SSRN. More
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(2021): Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?. 22. Ithaca, NY, Cornell University. More
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(2021): Fairness in Algorithmic Profiling: A German Case Study. 33. Ithaca, NY, Cornell University. More
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(2021): A Self-Replicating Radiation-Shield for Human Deep-Space Exploration: Radiotrophic Fungi can Attenuate Ionizing Radiation aboard the International Space Station. 15. Cold Spring Harbor Laboratory. More
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(2019): A Longitudinal Framework for Predicting Nonresponse in Panel Surveys. 24. Ithaca, NY, Cornell University. More
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(2019): Internal migration, social stratification and dynamic effects on subjective well being. 1046, 27. Berlin, DIW. More
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(2016): Effect comparison in multilevel structural equation models with non-metric outcomes. 10. Alexandria, VA, American Statistical Association . More
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(2014): Regional Structures and Mobility Dispositions: A Multilevel Proportional- & Partial-Proportional Odds Approach. 681, 30. Berlin, DIW. More