Research Interests

  • Research software engineering

  • Online data collection

  • Development and application of process tracing methods

  • Statistical modeling of cognition and behaviour

Short Description

Felix’s focus is to make advanced data collection and analysis methods accessible to researchers and practitioners. Part of this effort is translating specialised laboratory procedures for wider use, such as the analysis of interaction patterns based on mouse- and eye-tracking. In a joint, DFG-funded project with Frauke Kreuter and Sonja Greven (HU Berlin), he is investigating the automated analysis of mouse-based paradata in surveys. A second approach is through research software development, providing tools to accomplish complex tasks more easily while maintaining best practices. Felix is lead developer of the lab.js data collection framework for distributed online behavioural, cognitive and neuroscientific research, which is currently funded through an industry collaboration with the LMU. Felix also maintains and contributes to several R and Python packages such as cookiecutter, mousetrap, readbulk and the Psych-DS metadata standard.

He is an avid advocate for Open Science, having initiated the Open Scholarship Knowledge Base in collaboration with the Center for Open Science, a founding member of the German Reproducibility Network, co-organiser of the Mannheim Open Science Meetup, and co-founder of the Landau Open Science Working Group.

Felix is a PhD candidate at the Graduate School of Economic and Social Sciences (GESS) at the University of Mannheim, from which he holds a Master’s degree in psychology. Besides Mannheim, he has conducted research and taught at the Max Planck Institute for Research on Collective Goods (Bonn) and the Rheinland-Pfälzische Technische Universität, and regularly provides consulting and training to both academia and industry.