NASA Launched Overlap Zoo Citizen Science Project
The initiative enlists volunteers to classify galaxy silhouettes to help astronomers map cosmic dust across the universe.
Updated on Sept. 30, 2026 in Space
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NASA has launched the Overlap Zoo, a citizen science project that uses volunteers to identify and classify images of overlapping galaxies. This research-stage effort aims to use background galaxies as silhouettes to measure dust density in foreground structures.
Why it matters
Astronomers require large-scale catalogs of overlapping galaxy pairs to accurately map cosmic dust, a task that has become manually impractical as observation datasets have grown. This project leverages human pattern recognition to accelerate this analysis and improve astronomical distance estimates.
The project draws from a candidate pool of overlapping galaxy images previously identified by the Galaxy Zoo project. Volunteers mark outlines and key features of these pairs to create a structured database of silhouetted dust regions.
The players
NASA
The United States federal agency responsible for space exploration, research, and the management of large-scale astronomical data projects.
Galaxy Zoo
A long-running internet-based citizen science project that enlists volunteers to classify the morphology of galaxies from telescope survey imagery.
The details
The mechanism relies on the positioning of two galaxies along the same line of sight from Earth. When a distant galaxy sits directly behind a closer one, the light from the background object is obscured by dust within the foreground galaxy, allowing researchers to measure the dust's composition and density. Volunteers perform the essential task of verifying these candidate pairs and manually outlining the specific features of each galaxy.
Timeline
September 30, 2026: NASA Science announced the launch of the Overlap Zoo project.
The Tech Race
Overlap Zoo builds directly upon the established crowdsourced classification framework pioneered by the Galaxy Zoo project. It represents the next evolutionary step in leveraging distributed human intelligence to process the expanding volume of data generated by modern space-based observatories.
The project is currently open to any interested volunteer with access to the web-based classification interface. By participating, users contribute to the creation of the catalog necessary for future astronomical distance and dust mapping research.
The takeaway
This project transforms thousands of individual images into a single, cohesive dataset for structural cosmic analysis. Watch for future research papers citing the Overlap Zoo catalog to verify the impact of volunteer classifications on cosmic dust models.
Further reading
For more on how research initiatives are using citizen engagement to analyze the cosmos, visit Space.
More information
To start classifying galaxy pairs or learn more about the methodology, visit the Overlap Zoo citizen science portal.
Source note: This article includes information reported by Science @ NASA.
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