With the rapid development of big data and internet technologies, Citizen Science Projects in astronomy have become a significant platform for science education, scientific discovery, and artificial intelligence (AI) empowerment in China. These initiatives provide opportunities for the public to engage in scientific research while promoting scientific literacy through data-driven astronomy education. The National Astronomical Data Center (NADC) of China has made notable progress by establishing a citizen science platform (https://nadc.china-vo.org/citizenscience) that supports six diverse astronomical projects. These projects span areas such as galaxy classification, supernova searches, and astronomical data annotation, leveraging massive datasets and AI technologies to enhance data processing efficiency. By participating, the public not only learns astronomical knowledge but also contributes to meaningful scientific discoveries. The integration of AI enables complex tasks to be accomplished efficiently through crowd participation, making these projects accessible and impactful.

NADC’s platform offers user-friendly access, enriched by educational resources and interactive tools that strengthen the projects’ educational value. These initiatives demonstrate significant potential in blending science education, discovery, and AI empowerment, offering a new model for astronomical research and public engagement. This paper examines the achievements and experiences of these projects, highlighting their role in advancing science popularization and research.

Research Methods:
This study employs a combination of internet-based and citizen science approaches to design and implement astronomy projects aimed at engaging the general public in scientific discovery. These projects serve as platforms for both research and education. The study evaluates their effectiveness through statistical analysis of user participation data, scientific outcomes, and public feedback collected from the project platforms.

Results:
Popular Supernova Project (PSP, https://nadc.china-vo.org/psp): Identified 197 candidates, with 36 supernovae, 30 extragalactic novae, 1 cataclysmic variable star, and 1 active galactic nucleus confirmed; 98 variable stars added to the VSX database.
Gravitational Lens Search Project (LensFinder, https://nadc.china-vo.org/lensfinder): Over 1,400 users, 450,000+ classifications, with positive feedback from offline education activities.
Galaxy Circus Project (https://nadc.china-vo.org/galaxycircus/dist1-en): 617 users, 14,870 page views, 4,504 classifications, and 88,533 annotations.
Galaxy Maze Project (https://nadc.china-vo.org/galaxymaze): 311 users, 3,807 annotations, with one user contributing 485.
Fireball Reporting Platform (https://nadc.china-vo.org/huoliuxing): 429 users, 1,504 reports (1,067 accepted), recognizing top ten fireballs yearly.

Conclusions:
Internet-based citizen science projects advance discovery and education, engaging diverse participants and yielding scientific results. They enhance literacy and research contributions. Future work should optimize designs, expand scale, and promote global collaboration to maximize impact.

Keywords: Astronomy Education, Citizen Science, WWT, DAEPO, Data, AI.