Project Description

Monitoring groundwater in remote rural wells 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 25 Governance 25 Economy 24 Economy 24 Environment 28 Environment 28 Science 17 Science 17 max. 42
Total Score 21/42
Domain Progress

Proportion of questions answered in each domain.

  • 85% General (11/13)
  • 97% Economy (30/31)
  • 93% Environment (28/30)
  • 98% Governance (42/43)
  • 0% Science and technology (0/39)
  • 1% Society (1/67)