Let’s talk about data – impulses for good co-interpretation of data analysis in citizen (social) science

Abstract

This conference proceedings addresses the topic of collaborative and multi-perspective co-interpretation of data in Citizen (Social) Sciences. Co-interpretation of data is a participatory research step that is often treated with less attention in practices of citizen science and science and technology studies. However, the question emerges as to what potential entails the co-interpretation of data in Citizen Data Science. At the European Citizen Science Association (ECSA) conference in 2024, four different topics were selected for an approach to discuss best practices of co-interpreting data in Citizen Data Science. These topics cover co-interpretation of data from the perspective of different actors, necessary knowledge, data types and applicable methods and resources for collaborative data analysis in Citizen Science. The results of the four thematic groups are summarized and classified in this report.

Keywords

• citizen science
• citizen data science
• co-interpre