Astroinformatics and Big Data in Astronomy
A special issue of Universe (ISSN 2218-1997). This special issue belongs to the section "Astroinformatics and Astrostatistics".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 1281
Special Issue Editor
Special Issue Information
Dear Colleagues,
The explosive growth of astronomical data generated by modern sky surveys, advanced telescopes, and large-scale simulations has propelled astronomy into the era of big data. Effectively managing, processing, and extracting actionable scientific insights from these massive, complex datasets stands as one of the most critical and transformative challenges in contemporary astrophysics. Astroinformatics—an emerging interdisciplinary field at the nexus of astronomy, computer science, and data science—plays an indispensable role in addressing this challenge by developing innovative methodologies, computational frameworks, and analytical tools tailored to the unique demands of astronomical research.
This Special Issue, titled “Astroinformatics and Big Data in Astronomy,” seeks to showcase cutting-edge research that bridges data science and astronomy. We warmly encourage submissions leveraging state-of-the-art techniques in machine learning, deep learning, artificial intelligence (AI), statistical inference, data mining, interactive data visualization, and high-performance computing to tackle pressing problems across all subfields of astronomy. Relevant topics include (but are not limited to):
- Automated end-to-end data processing pipelines;
- Intelligent celestial object classification and novel discovery systems;
- Scalable data storage, management, and analytics architectures;
- Simulation-based inference and surrogate modeling;
- Virtual observatories and integrated data access platforms;
- Interpretable AI/ML for astronomical insight and hypothesis generation;
- Statistical and computational methods for handling noise, uncertainty, and incompleteness in astronomical data.
We invite astronomers, data scientists, computer scientists, and researchers from related disciplines to contribute original research articles and comprehensive review papers that demonstrate how astroinformatics and big data technologies are accelerating scientific discoveries, revolutionizing research paradigms, and shaping the future of astronomy.
Prof. Dr. Haijun Tian
Guest Editor
Manuscript Submission Information
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Keywords
- astroinformatics
- astronomical big data
- machine and deep learning
- artificial intelligence
- data processing and visualization in astronomy
- statistical inference
- virtual observatory
- scientific discovery
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