Varied discussions showed that interdisciplinary perspectives on many timely topics are highly relevant:

» Regarding algorithms and technologies, what level of understanding should users ideally have/seek to achieve? And how may the level of understanding be measured in the first place, how could it be improved further?

» How can sociological analyses and qualitative methods augment current measurements of “motivated reasoning”?

» How can engineering approaches, for instance to working with “interactive tables”, also be enriched and utilised by sociologists?

» What role(s) can algorithms play in deliberative democracy? How are algorithmic decision-making systems impacting social inequality? Are social networking sites contributing to political mobilisation? If so, in what ways, considering both beneficial and harmful aspects? Are social media being frequented and used differently by different parties and their followers

Indeed, discussions were so intense that they continued in Gather.Town and throughout the lunch break.

» Developing axioms towards a “theory of sustainable data for networked societies” (Hamm/Miceli) requires a combination of human-computer interaction research with social science methodologies to grasp the intricate arrangements and complexities of collecting, processing and using data in fields such as computer vision and civic tech initiatives

» Developing a framework for the sustainable use of digital data is a transdisciplinary and multinational task, which has to involve multiple stakeholders from science and practice. With this objective, the DiDaT white book project brings together, amongst others: politicians; mobility experts; psychologists; researchers in environmental studies and agriculture; sociologists; as well as representatives from small and medium-sized enterprises.

» Research with social media data is handled differently in the various disciplines. The debate depends largely on legal constraints covering both platforms and researchers. Overall, humanities issues have received little attention in digitalisation research to date.