From German Internet Panel to Mannheim Corona Study

Picture of Annelies Blom
Leah Kratschmann

Main content

Annelies Blom, professor at Mannheim University and professor II at DIGSSCORE, will give a 30-minute presentation followed by 15 minutes of Q&A. The event is in a hybrid format, you are welcome to join us for lunch from the Corner room at DIGSSCORE. Food is provided on a first-come first-served basis.

Click here for digital attendance.



The outbreak of COVID-19 sparked a sudden demand for fast, frequent and accurate data on the societal impact of the pandemic. This demand has highlighted a divide in survey data collection: Most probability-based social surveys, which can deliver the necessary data quality to allow valid inference to the general population, are slow, infrequent and ill-equipped to survey people during a lockdown. Most non-probability online surveys, which can deliver large amounts of data fast, frequently and without interviewer contact, however, cannot provide the data quality needed for population inference. Well aware of this chasm in the data landscape, at the onset of the pandemic, we set up the Mannheim Corona Study (MCS), a rotating panel survey with daily data collection on the basis of the long-standing probability-based online panel infrastructure of the German Internet Panel (GIP). The MCS has provided academics and political decision makers with key information to understand the social and economic developments during the early phase of the pandemic. This presentation, will provide a look into the MCS fast-response methodology and some key insights that were gained as a result.