Volunteers from around the world are actively participating in the Space Warps project to analyze galaxy images. They help identify rare gravitational lens candidates using data from the Euclid Space Telescope. This collaboration combines human observations with machine-learning systems for more accurate results. The project emphasizes the importance of citizen science in exploring vast astronomical datasets.
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