معرفی
Christoph Kern is an Assistant Professor at the Joint Program in Survey Methodology (JPSM) at the University of Maryland and a Post-Doctoral Researcher at the University of Mannheim's Department of Statistics and Methodology. He also serves as Project Director at the Mannheim Centre for European Social Research (MZES) and is a member of the Mannheim Center for Data Science (MCDS). He holds a PhD (Dr. rer. pol.) in Social Science from the University of Duisburg-Essen (2016).
His research focuses on fairness in machine learning, particularly examining algorithmic profiling of job seekers using German administrative data. Key projects include the 'Fairness in Automated Decision-Making' initiative, which evaluates subgroup performance, error rates, and ethical implications of predictive models. Kern emphasizes interdisciplinary collaboration to address data quality challenges in data science, advocating for improved generalizability and equitable outcomes in algorithmic systems.
He envisions future work on applying data science methods to optimize labor market program allocations while ensuring fairness. His expertise spans statistical modeling, machine learning, and social policy applications, with a commitment to bridging technical and social science perspectives.
