Policy Roadmap on Research infrastructures for citizen science
[...] * Relevant gap: in a scientific community there is an initial attempt to define IA framework for CS initiatives. This is also evident in some EC funded initiatives on going. However, a clear policy effort to close this gap is fundamental for several reasons: increasing the evidence that CS results are valuable for research objectives as well as for policy objectives; increase the quantitative data available for research which use AI tools; increase trust in science of the citizens as well as the trust of scientific community in citizens as scientist; etc.
what would be the gap here? is it the lack of IA frameworks for CS initiatives? it is not clear to me
Francesca Spagnuolo, 05/10/2022 13:01
The establishment of relevant KPIs is of paramount importance here. KPIs in terms of engagement and tools to monitor them have been established for example in D8.2, while KPIs for societal impact as well tools to measure them have been discussed in WP9 deliverables. The set up of such KPIs transversally for citizen science projects and the establishment of a monitoring procedure would be important to quantitatively measure impact.
Emmanuel Chaniotakis, 15/11/2022 14:43