Galileo Project Issues Public Call for Volunteer Image-Labelling Help as Three Observatories Run Continuously

The Galileo Project at Harvard University, led by astrophysicist Avi Loeb, issued a public call in mid-May 2026 for volunteer help labelling objects detected by its three operational observatories in Massachusetts, Pennsylvania, and Nevada. The observatories now record continuously across infrared, optical, radio, and audio bands, with artificial intelligence models filtering the data stream for outliers. The labelling task is a human-in-the-loop step needed before the machine-learning pipeline can classify rarer object categories with confidence. Loeb framed the call as a structured alternative to the United States Government's Presidential Unsealing and Reporting System for UAP Encounters (PURSUE) approach, arguing in a series of Medium essays during May 2026 that scientific provenance, sensor metadata, and reproducible triangulation are the elements PURSUE has so far failed to deliver. The volunteer call is open to members of the public who register through the Galileo Project's Harvard-hosted site. It does not require formal scientific training, but classifies users by experience tier. The development is significant because it converts the project's earlier triangulation milestone of March 2026 into an actively scaling data-labelling operation, the kind of structural step that distinguishes a sustained scientific programme from a one-off observation campaign.