What methods are used to evaluate and improve data quality? How is missing data handled in Informatics for Stars?
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- How are the properties of galaxies determined using computational methods? How is Informatics for Stars used in studying galaxy clusters?
- What are citizen science projects related to stellar informatics? How is Informatics for Stars used in studying variable stars?
- How can queries be optimized for large astronomical datasets? How are distributed computing frameworks being used to process massive astronomical datasets?
- What are the challenges in sharing astronomical data? How can students get involved in Informatics for Stars?
- Can information content be used to characterize astronomical data or processes?
- What techniques are used to reduce their impact on research results? How are the complexities of astrophysical processes being captured in computational models and simulations?
- What types of time-dependent patterns can RNNs learn?
- What tools can help track data provenance? How is data integration performed when combining different astronomical datasets?
- How do astronomers plan for and access the necessary computing power?
- What are the trends in software engineering for scientific computing?
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