Frauke Kreuter

Frauke Kreuter is an Affiliate Professor at the University of Maryland's INFO College. Her research focuses on data privacy, sociotechnical cybersecurity, and the integration of artificial intelligence with survey methodology. She leads the Global Privacy Monitor (GMP) project, exploring privacy stakeholder dynamics. Her work bridges survey science, machine learning, and ethical data practices.

Key research areas include causal reasoning in algorithms, differential privacy in surveys, and leveraging paradata from physiological measurements. She has pioneered methods to enhance survey design through NLP and AI, addressing challenges like cognitive burden and bias in automated systems.

Her articles highlight interdisciplinary approaches, such as analyzing algorithmic fairness, privacy norms in social media, and the impact of training data collection methods on model performance. Kreuter’s contributions span technical advancements in survey tools and ethical considerations in automated decision-making.

Notable projects include the GMP initiative and studies on health data sharing, GDPR effects, and pandemic-related behavioral insights. She advocates for methodological innovation to address modern challenges in data-driven decision-making and public policy.