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 10 Society 10 Governance 6 Governance 6 Economy 9 Economy 9 Environment 26 Environment 26 Science 7 Science 7 max. 42
Total Score 12/42
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)