MICS brings together six partners to develop an integrated platform of metrics and instruments to measure costs and benefits of citizen science. These metrics will consider the impacts of citizen science on the following domains: society, the economy, science and technology, the environment, and governance.
The following scores were calculated using a statistically-driven machine-learning approach, a type of AI that learns to perform a task by analysing patterns in data. This is an experimental approach to citizen-science impact assessment, and the exact reasoning behind the scores is not explainable. The scores represent a best guess of the impact the project is having in each domain. Scores are recalculated and updated when “View impact report” is clicked.