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To better understand the determinants and effects of digital technologies, approaches for linking surveys and digital behavioral data have been developed recently. In particular web tracking data, detailed web browsing histories of participants, can enrich established survey-based research designs with precise measures of digital behavior. As part of the GESIS Panel Infrastructure, the newly established GESIS Panel.dbd enables researchers to collect linked survey and digital behavioral data (e.g., via the new service GESIS Web Tracking). Study submissions will be fielded free of charge after a successful peer review. A unique feature of the sample (n ~ 7000) is its hybrid sampling design, which features nonprobability and probability samples, allowing for substantial and methodological research. The MtE session will showcase research that linked surveys and web tracking, present the data collection infrastructure and introduce the pathways how the academic community can participate in the data collections and use the collected data. Presenters: Dr. Frank Mangold Dr. Joachim Piepenburg