In-situ assessment report of citizen local interactions and self-reporting GEAR cycle 3

Résumé 0

In this report, we present a data-driven approach leveraging digital traces to monitor metrics pertaining to the diversity, collaboration and activity of teams in the context of the GEAR cycle 3. We collected compositional and organizational data from 11 participating teams from different sources: communication data from public Slack channels, surveys, and self-reported activity data from CoSo (Collaborative Sonar), a digital platform for monitoring team collaborations and task management. Using social network analyses, we show how the relations between team members evolve both at the level of the team (intra), across boundaries with other teams (inter) and with the organizing team. Finally, we highlight how these measures can be useful for monitoring performance, a question we explore further in deliverable D4.7. We conclude that measures of team composition, activity and collaborations can be leveraged to monitor the collaborative processes during the GEAR cycle 3, highlighting their usefulness in the context of the Crowd4SDG project and similar initiatives leveraging Citizen Science to address the SDGs.