Artifact InSPECtor (NASA): labeling artifacts in Euclid telescope data online

For everyone, no prior knowledge is required (the project includes introductory training): a NASA citizen science project launched in 2026 where volunteers correct errors made by computer algorithms that mistook false signals (glare, cosmic ray tracks, optical and electronic artifacts) for useful spectra of distant galaxies in the Euclid telescope data. You need to look at images labeled by the algorithm and use buttons to report whether the model is correct or not; this helps train the next generation of models and unlock the potential of space telescopes, including Euclid and Roman. Training takes 10-15 minutes, a computer, tablet, or smartphone is suitable; findings can be discussed on the forum.