Project Description

Monitoring water quality in rivers, streams and wells in remote rural area through citizen science

Impact Assessment Tools: Measure the impact of this project
Impact Assesment Tools
Current Project Impact

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.

Society 38 Society 38 Governance 30 Governance 30 Economy 20 Economy 20 Environment 39 Environment 39 Science 21 Science 21 max. 42
Total Score 30/42
Domain Progress

Proportion of questions answered in each domain.

  • 92% General (12/13)
  • 97% Economy (30/31)
  • 100% Environment (30/30)
  • 98% Governance (42/43)
  • 97% Science and technology (38/39)
  • 99% Society (66/67)