Julian B. Axenfeld

Julian B. Axenfeld serves as Head of the German Social Cohesion Panel (SCP) at the Socio-Economic Panel (SOEP) within the German Institute for Economic Research (DIW Berlin). His research focuses on advancing survey methodology through innovative applications of data science, nonresponse analysis, and machine learning to improve social survey accuracy and efficiency.

He holds a doctorate in Sociology from the University of Mannheim, where he completed his undergraduate studies. Prior to joining DIW Berlin, he worked as a Research Associate at the Socium Research Institute (University of Bremen) and Mannheim Centre for European Social Research (MZES) on DFG-funded projects involving modular questionnaire design.

Dr. Axenfeld specializes in developing computational solutions for survey data challenges, particularly imputation techniques for missing data in split questionnaire designs and mixed-mode data collection systems. His work bridges statistical theory with practical survey implementation, emphasizing machine learning applications to reduce nonresponse bias and optimize resource allocation in large-scale panel studies.

His recent publications reveal a clear trajectory toward integrating AI-driven methodologies with traditional survey science, with significant contributions to split questionnaire designs, imputation quality assessment, and longitudinal data monitoring systems. These studies consistently address the tension between respondent burden reduction and data integrity preservation in contemporary social research.

No scientific awards were documented in the source materials.

As SCP Director, Axenfeld manages a major longitudinal infrastructure project tracking social cohesion across Germany, though specific grant details remain undisclosed. He previously contributed to the DFG-funded 'Modular Questionnaire Designs for Social Surveys' project but shows no formal student advising relationships in available records.

The Social Cohesion Panel operates as a specialized research unit within SOEP, implementing cutting-edge mixed-mode survey protocols (including push-to-web transitions) and sophisticated imputation frameworks. This infrastructure generates nationally representative longitudinal data through annual waves, employing experimental design changes to evaluate methodological innovations in real-world survey contexts while maintaining continuity with established social indicators.