Human-Centered Data Analytics
Developing methods and techniques to better support users in accessing information. Working with social scientists and humanities researchers on technology to better interpret complex data.
Our research group develops methods and techniques to better support users in accessing information that is heterogeneous, subjective and potentially inconsistent. We focus on the information’s context, using knowledge graphs to model differences in time and other relevant perspectives.
We work together with social scientists and humanities researchers to evaluate how technology can be used to best interpret complex data, by modelling and comparing different assumptions underlying the interpretation. We advocate the notion of transparency in all critical use of technology to improve trust assessments.
Current projects with external funding
- Culturally aware AI (AI:CULT)
- Responsible Recommenders in the Public Library (PPS Koninklijke Bibliotheek)
- The eye of the beholder: Transparent pipelines for assessing online information quality (The eye of the beholder)