Statistics | Data Science | Survey Methodology
Hi – I’m Ruben, postdoctoral researcher at the University of Mannheim (see also here) in social science quantitative research methods. I’m especially interested in all topics related to big data in the social sciences, machine learning, causal inference and survey research.
I spent three years in the Institute for Employment Research (IAB)’s graduate program where I wrote my dissertation on behavioral consequences of repeated measurements in social science surveys using methods of causal inference and machine learning. Recently, my dissertation was awarded the Lorenz-von-Stein Award of the Mannheim Centre for European Social Research of the University of Mannheim.
My current research projects involve using digital trace data (online and mobile web activity) and social media data (Reddit) for social research, machine learning in survey research (e.g., for response propensity models) and the various ways how participating in a survey can influence respondents‘ future behavior.
My work on behavioral changes due to repeated survey participation was recently published in the Journal of the Royal Statistical Society, Series A: Statistics in Society (JRSS-A). A second paper on changes in reporting over the waves of a panel survey (panel conditioning) has appeared in Journal of Survey Statistics and Methodology (JSSAM). Also, my paper on the connection between response propensities and misreporting in surveys was recently accepted in JSSAM.