2027 International Conference on Data Science and Intelligent Information Processing(DSIIP 2027)
About DSIIP 2027
The 2027 International Conference on Data Science and Intelligent Information Processing (DSIIP 2027) will be held from March 19 to 21, 2027, in Qingdao, Shandong Province, China. DSIIP 2027 aims to bring together world-leading academic scientists, researchers, industry experts, and early-career scholars to engage in in-depth exchanges and intellectual dialogues on the latest research advances, technical breakthroughs, and innovative applications in the cutting-edge theories of data science and core technologies of intelligent information processing.


The conference seeks to establish a high-level, interdisciplinary platform for professionals from universities, research institutes, and enterprises worldwide, fostering comprehensive discussions on emerging trends, major challenges, and practical solutions in the fields of data science and intelligent information processing. Ultimately, DSIIP 2027 aspires to drive innovation and development in data-driven scientific discovery and intelligent system theory and technology. We warmly invite scholars, researchers, and industry experts to contribute their work and participate in this event.


Important Dates

Full Paper Submission Date: October 21, 2026

Registration Deadline: November 20, 2026

Final Paper Submission Date: December 18, 2026

Conference Dates: March 19–21, 2027

Publication
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and then will be submitted to EI Compendex and Scopus for indexing.


Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.


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