Citizen science plays an important role in modern astroinformatics, enabling the public to collaborate with professional scientists in large-scale projects like Galaxy Zoo and Planet Hunters. Volunteers classify astronomical objects, detect exoplanets (the planets that orbit stars outside our solar system), and monitor transient events, contributing to major discoveries. With the rise of big data, AI, and machine learning, the integration of automated systems and human input creates a powerful synergy that improves data analysis. Despite the challenges in data quality and ethical issues, citizen science continues to thrive, providing a platform for global participation and encouraging public interest in scientific discovery.
Malović et al. (Mon,) studied this question.