We invite submissions to the journal track of the 2026 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2026). This journal track is implemented in partnership with two Springer's journals, namely: Machine Learning Journal and International Journal of Data Science and Analytics (JDSA). A paper can only be submitted to either, but not both, journals. Accepted papers will be published in the corresponding journal, each with an extended abstract included in the DSAA'2026 proceedings.
- Machine Learning Journal (MLJ)
The DSAA'2026 Journal Track with the Machine Learning Journal will consolidate original submissions to the Special Issue on Large Language Modelling for Data Science. The Special Issue explores the intersection between LLMs and data science, addressing foundational advances and real-world applications. We invite high-quality contributions that extend the methodological, practical, and theoretical boundaries of how LLMs can accelerate discovery, enhance interpretability, and enable novel paradigms in data-driven science and engineering. For the full call for papers and submissions, please refer
Guidelines Here.- International Journal of Data Science and Analytics (JDSA)
A priority consideration is given to Data Science and Generative AI. This theme explores the bidirectional relationship between data science and generative AI. We invite contributions that advance the foundations of data science to support the development, training, evaluation, and responsible deployment of generative AI models, including work on data representation, curation, quality, interpretability, fairness, and governance. At the same time, we welcome research that leverages generative AI to transform data science practices, such as data preparation, augmentation, simulation, automated analysis, hypothesis generation, and scientific discovery. Submissions may cover theoretical advances, methodological innovations, system development, or novel applications that highlight how data science and generative AI mutually reinforce each other in both research and practice. For the full call for papers and submissions, please refer
Guidelines Here.