Research Interests

  • Statistical-Methodological Perspectives on Statistical Learning, Machine Learning, and their Foundations

  • Fairness in Statistical & Machine Learning, Algorithmic Fairness

  • Official Statistics & National Statistical Institutes in the Era of Machine Learning

  • Survey Methodology, especially Paradata

  • Data Quality, Methods for Deficient Data, & Robust Statistics, including Connections to Open Science & Reproducibility

Additional Links

  • Google Scholar
  • Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz, Frauke Kreuter, & Göran Kauermann (2023): Sources of Uncertainty in Machine Learning – A Statisticians' View, arXiv:2305.16703