The Citclops project (2012-2015) developed systems to retrieve and use data on the colour, transparency and fluorescence of seawater using low-cost sensors along with contextual information and citizen participation.
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.