Dear Colleagues,
The 2nd issue of Volume 24 of the Journal of Data Science (
https://jds-online.org/journal/JDS/issue/94) features selected contributions from the 2025 Symposium on Data Science and Statistics (SDSS), themed "Bridging Disciplines: Advancing AI, Statistics, and Data Science Together." We extend our sincere thanks to guest editors Steven Chiou (Southern Methodist University), Minzhao Hu (Mayo Clinic), and Jing Cao (Southern Methodist University) for their leadership throughout the editorial process. We also thank the review team and all contributing authors for their
efforts in making this special issue possible.
All articles are published as open access under the CC-BY license (
https://creativecommons.org/licenses/by/4.0/) to ensure the widest dissemination. Thanks to funding from the School of Statistics and the Center for Applied Statistics at Renmin University of China, there are no Article Processing Charges. The journal is known for its fast review process and rigorous reproducibility checks.
Established in 2003, the Journal of Data Science aims to advance and promote data science methods, computing, and applications across all scientific fields where knowledge and insights are to be extracted from data. We welcome submissions to all sections of the journal, including 1) Philosophies of Data Science; 2) Statistical Data Science; 3) Computing in Data Science; 4) Data Science in Action; 5) Data Science Review; 6) Education in Data Science; and 7) Data Science Conversation.
Best regards,
Yichen Qin and Jun Yan
Co-Editors, Journal of Data Science
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Chiou, Sy Han, Hu, Mingzhao, and Jing Cao. "Editorial: Bridging Disciplines: Advancing AI, Statistics, and Data Science Together." Journal of Data Science 24 no. 2 (2026):293-295.
https://doi.org/10.6339/26-JDS242EDI.
Pareek, Savita, and Sujit K. Ghosh. "Semiparametric Dynamic Copula Models using Rolling-window Portfolio Optimization." Journal of Data Science 24 no. 2 (2026):296-318.
https://doi.org/10.6339/26-JDS1229.
Yang, Chenyu, Larson, Eric, and Jing Cao. "Interpretable Word-Level Context-Based Sentiment Analysis." Journal of Data Science 24 no. 2 (2026):319-337.
https://doi.org/10.6339/26-JDS1225.
Berry, Aiden, Cao, Jennifer, and Song Zhang. "A Bayesian Approach to Pre-Post Comparison of Inter-Rater Agreement in Ordinal Ratings." Journal of Data Science 24 no. 2 (2026):338-351.
https://doi.org/10.6339/25-JDS1213.
Le, Dylan, Rogers, Rachel, and Emily Robinson. "Clusters, Trends, and Choices: Feature Selection in Interactive Statistical Graphics." Journal of Data Science 24 no. 2 (2026):352-372.
https://doi.org/10.6339/26-JDS1221.
Taylor, Ruth, Bean, Brennan, Phillips, Brian, and Allison Fleming. "Designing Accessible and Dependable Tools for Vocational Rehabilitation Data Analysis." Journal of Data Science 24 no. 2 (2026):373-393.
https://doi.org/10.6339/26-JDS1228.
Russell, Brook T., Momo Nizegha, Kelie Marline, Malshika, Dulshan, and Whitney K. Huang. "Investigating Spatial Dependence in the Degree of Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern US Rocky Mountains." Journal of Data Science 24 no. 2 (2026):394-410.
https://doi.org/10.6339/26-JDS1220.
Chickering, Graham, Jones, Christina, and Naomi Blaushild. "Leveraging Artificial Intelligence and Automation for Enhancing School Improvement Efforts." Journal of Data Science 24 no. 2 (2026):411-435.
https://doi.org/10.6339/26-JDS1216.
Burger, Haley, and Brennan Bean. "Quantifying the Sensitivity of Land Use Land Cover Metrics Through Simulation Techniques." Journal of Data Science 24 no. 2 (2026):436-454.
https://doi.org/10.6339/25-JDS1215.
Linse, Greta M., Greenwood, Mark C., and Ronald K. June. "Data-Driven Model Structure Diagrams for Hierarchical Linear Mixed Models." Journal of Data Science 24 no. 2 (2026):455-475.
https://doi.org/10.6339/26-JDS1222.