ISBDAS 2026 will serve as a global platform for advancing big data technologies and applied statistics innovations, fostering collaboration among researchers, statisticians, and data scientists to address challenges in data-driven decision-making while integrating intelligent computing with applied mathematics as a key knowledge-exchange hub; its scope covers big data mining and processing algorithms, big data visualization techniques, cloud-native big data systems, edge computing in big data analytics, statistical computing in big data environments, statistical methods for high-dimensional data analysis, time series forecasting & modeling, and statistical software & tool development, and featuring keynotes, technical sessions, and workshops, it will enable research showcasing, discussions, and networking to bridge academia and industry, drive breakthroughs, accelerate data science applications, and promote excellence for a data-driven global landscape.

9th International Symposium on Big Data and Applied Statistics (ISBDAS) is technically sponsored by IEEE. The proceedings  of this event are likely to be indexed in  prominent databases such as Scopus, Web of Science (WoS), Ei Compendex, DBLP, Google Scholar, and many others.