Call for Papers for JDSSV Special Issue on Statistical Learning, Visual Analytics, and Beyond


Statistical learning and visual analytics are increasingly important topics in the era of big data and artificial intelligence. With the rapid development of information technologies, modern statistical models and visualization tools are necessary for prediction and inference.

Following the successful DSSV conference in Tainan, June 27-29, 2022, the Journal of Data Science, Statistics and Visualization launches a special issue on Statistical Learning, Visual Analytics, and Beyond with guest editors Ray-Bing Chen (Department of Statistics, National Cheng Kung University), Ying Chen, and Anne Ruiz-Gazen (Toulouse School of Economics, University Toulouse 1 Capitole) as guest editors. We welcome novel contributions from all aspects of research, including theoretical and practical modeling, learning, and/or visualization of data, providing insights into the development and application of the field. Papers should be aimed at a broad scientific audience. They can cover machine learning and statistical learning, visualization and verbalization of data, big data infrastructure and analytics, interactive learning, advanced computing, and other important topics. Papers that provide a comprehensive review and comparison of existing approaches and have the potential to provide new insights are also welcome.

Submissions to this special issue should be done at following the standard requirements of the journal and by selecting “Special Issue on Statistical Learning, Visual Analytics, and Beyond.” Submissions will follow the standard JDSSV peer review process. The period for submission is from July 15, 2022 to December 1, 2022. We offer dual submissions, that is, papers that do not fit into the Special Issue will automatically be transferred to the regular submission channel unless the author specifies to submit only to the Special Issue. Papers will enter the review process immediately upon receipt (i.e., guest editors will not wait until the end of the submission window to start the review process). We intend to publish all accepted papers as a single special issue in 2023 after finalization of the review process.