Project description
Digital transformation shapes the economy, society, and politics. For a responsible approach to this transformation, it is crucial to understand how citizens perceive the digital shift, which opportunities they recognise, and which concerns they have. Within the framework of “the bidt-Digitalbarometer”, attitudes, experiences, and competences of the population in the context of digitalisation are systematically captured and analysed using quantitative methods.
The studies published as part of the project make it possible to track developments over time, draw international comparisons, and identify key areas for action.
The aim of the project is to create a comprehensive, scientific data foundation on essential aspects of digital transformation. The publications “bidt-SZ-Digitalbarometer 2022”, “bidt-Digitalbarometer.International”, and “bidt-Digitalbarometer 2025” present findings that shed light on the state and development of digital transformation in Germany, also in an international context. Building on this, the project aims to make a continuous contribution to societal and political debate, provide orientation, and generate impulses for future-oriented digital policy.
Project team
Alumni
Publications
Findings Report of the bidt-Digitalbarometer 2025
The “Findings Report of the bidt-Digitalbarometer 2025” provides comprehensive data on the current state of digital transformation in Germany. It also presents comparisons with survey data from Germany collected…
bidt-Digitalbarometer.international
Digital transformation has an impact worldwide. “The bidt-Digitalbarometer.international” 2023 examines how Germany compares with six other European countries.
bidt-SZ-Digitalbarometer
Digital transformation is rapidly changing every aspect of our lives. Time to take stock: In a joint study, bidt and the SZ Institute of the Süddeutsche Zeitung surveyed more than 9,000 people in Germany on topics including…
How digital are you?
Determine your digital competence and compare the results with our representative data in the test.