(In Press):
Longitudinal Nonresponse Prediction with Time Series Machine Learning.
Journal of Survey Statistics and Methodology, (publ. online before print).
mehr
Dr. Christoph Kern
Projektleiter
christoph.kern [at] uni-mannheim.de
Telefon:
+49-621-181-2804Postanschrift
LMU
Ludwigstr. 33
80539
München
Deutschland
Projekte
A2 Dimensionen gesellschaftlicher Integration: soziale Schichtung und soziale Ungleichheiten
Veröffentlichungen
Beiträge in Zeitschriften
Kern, Christoph, Michael P. Kim und Angela Zhou
(In Press):
Multi-accurate CATE is robust to unknown covariate shifts.
Transactions on Machine Learning Research, (publ. online before print) pp. 1-59.
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Classe, Franz, und Christoph Kern
(2024):
Detecting Differential Item Functioning in Multidimensional Graded Response Models With Recursive Partitioning.
Applied Psychological Measurement, 48, Heft 3, S. 83-103.
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Classe, Franz, und Christoph Kern
(2024):
Latent Variable Forests for Latent Variable Score Estimation.
Educational and Psychological Measurement, 84, Heft 6, S. 1138-1172.
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Fischer-Abaigar, Unai, Christoph Kern, Noam Barda und Frauke Kreuter
(2024):
Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector.
Government Information Quarterly, 41, Heft 4, (article no.101976), pp. 1-22.
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Kern, Christoph, Ruben L. Bach, Hannah Mautner und Frauke Kreuter
(2024):
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.
ACM Journal of Responsible Computing, 1, Heft 4, (article no 24), pp. 1-30.
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Schenk, Patrick Oliver, und Christoph Kern
(2024):
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production.
AStA Wirtschafts-und Sozialstatistisches Archiv, 18, Heft 2, S. 131-184.
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Bach, Ruben L., Christoph Kern, Hannah Mautner und Frauke Kreuter
(2023):
The impact of modeling decisions in statistical profiling.
Data & Policy, 5, (article-no. e32), pp. 1-19.
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Kern, Christoph, Bernd Weiss und Jan-Philipp Kolb
(2023):
Predicting Nonresponse in Future Waves of a Probability-Based Mixed-Mode Panel with Machine Learning.
Journal of Survey Statistics and Methodology, 11, Heft 1, S. 100-123.
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Bach, Ruben L., Christoph Kern, Denis Bonnay und Luc Kalaora
(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, Heft S2, S. S246-S269.
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Gerdon, Frederic, Ruben L. Bach, Christoph Kern und Frauke Kreuter
(2022):
Social impacts of algorithmic decision-making: A research agenda for the social sciences.
Big Data & Society, S. 1-13 (e-only).
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Kern, Christoph, Frederic Gerdon, Ruben L. Bach, Florian Keusch und Frauke Kreuter
(2022):
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making.
Patterns, 3, Heft 10, (article no. 100591) e-only.
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Kim, Michael P., Christoph Kern, Shafi Goldwasser, Frauke Kreuter und Omer Reingold
(2022):
Universal adaptability: Target-independent inference that competes with propensity scoring.
Proceedings of the National Academy of Sciences, 119, Heft 4, (article no. e2108097119), pp. 1-6.
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Kuppler, Matthias, Christoph Kern, Ruben L. Bach und Frauke Kreuter
(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.
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Silber, Henning, Frederic Gerdon, Ruben L. Bach, Christoph Kern, Florian Keusch und Frauke Kreuter
(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, Heft 2, S. 161–181.
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Bach, Ruben L., Christoph Kern, Ashley Amaya, Florian Keusch, Frauke Kreuter, Jan Hecht und Jonathan Heinemann
(2021):
Predicting voting behavior using digital trace data.
Social Science Computer Review, 39, Heft 5, S. 862–883.
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Badillo-Goicoechea, Elena, Ting-Hsuan Chang, Esther Kim, Sarah LaRocca, Katherine Morris, Xiaoyi Deng, Samantha Chiu, Adrianne Bradford, Andres Garcia, Christoph Kern, Curtiss Cobb, Frauke Kreuter und Elizabeth A. Stuart
(2021):
Global Trends and Predictors of Face Mask Usage During the COVID-19 Pandemic.
BMC Public Health, 21, (article no. 2099).
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Erlinghagen, Marcel, Christoph Kern und Petra Stein
(2021):
Migration, Social Stratification and Dynamic Effects on Subjective Well Being.
Advances in Life Course Research, 48, Heft June 2021, (article no. 100393).
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Kern, Christoph, Yan Li und Lingxiao Wang
(2021):
Boosted Kernel Weighting - Using Statistical Learning to Improve Inference From Nonprobability Samples.
Journal of Survey Statistics and Methodology, 9, Heft 5, S. 1088–1113.
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Kern, Christoph, Jan Karem Höhne, Stephan Schlosser und Melanie Revilla
(2021):
Completion Conditions and Response Behavior in Smartphone Surveys: A Prediction Approach Using Acceleration Data.
Social Science Computer Review, 39, Heft 6, S. 1253–1271.
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Pfisterer, Florian, Christoph Kern, Susanne Dandl, Matthew Sun, Michael P. Kim und Bernd Bischl
(2021):
mcboost: Multi-Calibration Boosting for R.
Journal of Open Source Software, 6, Heft 64, (article no. 3453).
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Kern, Christoph, Thomas Klausch und Frauke Kreuter
(2019):
Tree-based machine learning methods for survey research.
Survey Research Methods, 13, Heft 1, S. 73-93.
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Kern, Christoph, und Petra Stein
(2018):
Modelling Decision-Making Processes of Regional Mobility in a Dyadic Framework.
European Sociological Review, 34, Heft 4, S. 433-451.
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Kern, Christoph, und Petra Stein
(2015):
Comparing coefficients of nonlinear multivariate regression models between equations.
Survey Research Methods, 9, Heft 3, S. 159-167.
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Kern, Christoph
(2015):
Modeling mobility dispositions from a multilevel perspective.
Journal of Contextual Economics – Schmollers Jahrbuch, 135, Heft 1, S. 23-34.
mehr
Beiträge in Büchern
Kim, Brian, Christoph Kern, Jonathan Morgan, Clayton Hunter und Avishek Kumar
(2021):
Workbooks.
S. 333-340 in:
Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane
(Hrsg.)
Big data and social science: Data science methods and tools for research and practice.
2nd edition,
Boca Raton:
Chapman and Hall/CRC.
mehr
Kern, Christoph
(2020):
Machine Learning Interpretation Tools.
S. 1-12 (e-only) in:
Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug, Richard Williams
(Hrsg.)
SAGE Research Methods Foundations.
London:
SAGE.
mehr
Kolb, Jan-Philipp, Bernd Weiss und Christoph Kern
(2020):
Using predictive modelling to identify panel nonresponse.
S. 206-214 in:
Mohd Mahidin
(Hrsg.)
Proceeding ISI World Statistics Congress 2019.
Putrajaya:
Department of Statistics Malaysia (DOSM).
mehr
Papers / Reports
Höhne, Jan Karem, Christoph Kern, Konstantin Gavras und Stephan Schlosser
(2022):
The Sound of Respondents: Predicting Respondents’ Level of Interest with Voice Data in Smartphone Surveys.
Rochester, NY
[SSRN platform]
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Kaiser, Patrick, Christoph Kern und David Rügamer
(2022):
Uncertainty-aware predictive modeling for fair data-driven decisions.
Ithaca, NY
[arXiv preprint]
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Kern, Christoph, Ruben L. Bach, Hannah Mautner und Frauke Kreuter
(2021):
Fairness in Algorithmic Profiling: A German Case Study.
Ithaca, NY
[arXiv preprint]
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Kuppler, Matthias, Christoph Kern, Ruben L. Bach und Frauke Kreuter
(2021):
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?.
Ithaca, NY
[arXiv preprint]
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Shunk, Graham, Xavier Gomez, Christoph Kern und Nils Averesch
(2021):
A Self-Replicating Radiation-Shield for Human Deep-Space Exploration: Radiotrophic Fungi can Attenuate Ionizing Radiation aboard the International Space Station.
[bioRxiv preprint]
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Erlinghagen, Marcel, Christoph Kern und Petra Stein
(2019):
Internal migration, social stratification and dynamic effects on subjective well being.
Berlin
[SOEP papers on Multidisciplinary Panel Data Research; 1046]
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Kern, Christoph, Bernd Weiß und Jan-Philipp Kolb
(2019):
A Longitudinal Framework for Predicting Nonresponse in Panel Surveys.
Ithaca, NY
[arXiv preprint]
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Kern, Christoph, und Petra Stein
(2016):
Effect comparison in multilevel structural equation models with non-metric outcomes.
Alexandria, VA
[JSM Proceedings]
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Kern, Christoph
(2014):
Regional Structures and Mobility Dispositions: A Multilevel Proportional- & Partial-Proportional Odds Approach.
Berlin
[SOEP papers on Multidisciplinary Panel Data Research; 681]
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Konferenzpräsentationen
Gerdon, Frederic, Ruben L. Bach, Christoph Kern und Frauke Kreuter
(2024):
Research Avenues for Studying Effects of Algorithmic Decision-Making Systems on Social Inequality.
[Digital Inequalities Symposium for Early-Career Researchers, Paris, 19. Dezember 2024]
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Gerdon, Frederic, Daria Szafran, Jakob Kappenberger, Ruben L. Bach und Christoph Kern
(2023):
Using survey experiments and agent-based modeling to simulate mobility behavior in smart cities.
[10th Conference of the European Survey Research Association, Milan, 17. bis 21. Juli 2023]
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Kern, Christoph, Frederic Gerdon, Ruben L. Bach, Florian Keusch und Frauke Kreuter
(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, 26. bis 30. Juni 2023]
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Silber, Henning, Frederic Gerdon, Ruben L. Bach, Christoph Kern, Florian Keusch und Frauke Kreuter
(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), 25. bis 26. März 2022]
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Silber, Henning, Frederic Gerdon, Ruben L. Bach, Christoph Kern, Florian Keusch und Frauke Kreuter
(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), 05. bis 07. November 2021]
mehr
Gerdon, Frederic, Christoph Kilian Theil, Christoph Kern, Ruben L. Bach, Frauke Kreuter, Heiner Stuckenschmidt und Kai Eckert
(2020):
Exploring Impacts of Artificial Intelligence on Urban Societies with Social Simulations.
[40. Kongress der Deutschen Gesellschaft für Soziologie, (virtual conference), 14. bis 24. September 2020]
mehr