Project Description

The Citizen Science component of the iMars project, Mars in Motion, was created through the Zooniverse's Panoptes framework to allow volunteers to look for and identify changes on the surface of Mars over time. 'Mars in Motion' has been developed to complement the results of automated data mining analysis software, both by validation through the creation of training data and by adding context - gathering more in-depth data on the type and metrics of change initially detected.

 Before and after images of a Martian slope streak
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.

Economy 25 Economy 25 Society 13 Society 13 Governance 17 Governance 17 Science 33 Science 33 Environment 2 Environment 2 max. 42
Total Score 18/42
Domain Progress

Proportion of questions answered in each domain.

  • 100% General (13/13)
  • 100% Economy (31/31)
  • 100% Environment (30/30)
  • 100% Governance (43/43)
  • 100% Science and technology (39/39)
  • 100% Society (67/67)