Christoph Kern

About Christoph Kern

Christoph Kern, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Universität Mannheim, specializes in the field of Social Data Science, Survey Methodology, Algorithmic Fairness.

His recent articles reflect a diverse array of research interests and contributions to the field:

Detecting Differential Item Functioning in Multidimensional Graded Response Models With Recursive Partitioning

Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production

The sound of respondents: predicting respondents’ level of interest in questions with voice data in smartphone surveys

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance

Bridging the Gap: Towards an Expanded Toolkit for ML-Supported Decision-Making in the Public Sector

Population mental health in Burma after 2021 military coup: online non-probability survey

Everything, Everywhere All in One Evaluation: Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness

Predicting nonresponse in future waves of a probability-based mixed-mode panel with machine learning

Christoph Kern Information

University

Position

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Citations(all)

458

Citations(since 2020)

424

Cited By

77

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Christoph Kern Skills & Research Interests

Social Data Science

Survey Methodology

Algorithmic Fairness

Top articles of Christoph Kern

Detecting Differential Item Functioning in Multidimensional Graded Response Models With Recursive Partitioning

Applied Psychological Measurement

2024/3/13

Christoph Kern
Christoph Kern

H-Index: 5

Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production

arXiv preprint arXiv:2402.09328

2024/2/14

Christoph Kern
Christoph Kern

H-Index: 5

The sound of respondents: predicting respondents’ level of interest in questions with voice data in smartphone surveys

Quality & Quantity

2023/11/28

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance

arXiv preprint arXiv:2311.14212

2023/11/23

Bridging the Gap: Towards an Expanded Toolkit for ML-Supported Decision-Making in the Public Sector

arXiv preprint arXiv:2310.19091

2023/10/29

Christoph Kern
Christoph Kern

H-Index: 5

Frauke Kreuter
Frauke Kreuter

H-Index: 32

Population mental health in Burma after 2021 military coup: online non-probability survey

BJPsych open

2023/9

Christoph Kern
Christoph Kern

H-Index: 5

Everything, Everywhere All in One Evaluation: Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness

arXiv preprint arXiv:2308.16681

2023/8/31

Florian Pfisterer
Florian Pfisterer

H-Index: 0

Christoph Kern
Christoph Kern

H-Index: 5

Predicting nonresponse in future waves of a probability-based mixed-mode panel with machine learning

Journal of Survey Statistics and Methodology

2023/2/1

Christoph Kern
Christoph Kern

H-Index: 5

The impact of modeling decisions in statistical profiling

Data & Policy

2023/1

Christoph Kern
Christoph Kern

H-Index: 5

Frauke Kreuter
Frauke Kreuter

H-Index: 32

Ethnic Classifications in Algorithmic Decision-Making Processes

2023

Christoph Kern
Christoph Kern

H-Index: 5

Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness

2023

Florian Pfisterer
Florian Pfisterer

H-Index: 0

Christoph Kern
Christoph Kern

H-Index: 5

Automatisierte Entscheidungen: Aspekte von Fairness, Datenqualität und Privacy

Denkanstöße

2023

Frauke Kreuter
Frauke Kreuter

H-Index: 32

Christoph Kern
Christoph Kern

H-Index: 5

Understanding political news media consumption with digital trace data and natural language processing

Journal of the Royal Statistical Society Series A: Statistics in Society

2022/12

Christoph Kern
Christoph Kern

H-Index: 5

Uncertainty-aware predictive modeling for fair data-driven decisions

NeurIPS 2022 Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML)

2022/11/4

Christoph Kern
Christoph Kern

H-Index: 5

David Rügamer
David Rügamer

H-Index: 7

Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making

Patterns

2022/10/14

Universal adaptability: Target-independent inference that competes with propensity scoring

Proceedings of the National Academy of Sciences

2022/1/25

Bottom-up economic forecasting of regional unemployment in Germany

2022

Christoph Kern
Christoph Kern

H-Index: 5

Prakhar Rathi
Prakhar Rathi

H-Index: 0

From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of automated decision-making

Frontiers in sociology

2022/10/10

Christoph Kern
Christoph Kern

H-Index: 5

Frauke Kreuter
Frauke Kreuter

H-Index: 32

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

2022

Social impacts of algorithmic decision-making: A research agenda for the social sciences

2022/1

Christoph Kern
Christoph Kern

H-Index: 5

Frauke Kreuter
Frauke Kreuter

H-Index: 32

See List of Professors in Christoph Kern University(Universität Mannheim)

Co-Authors

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