About us

ICPCSEE 2026 is the 12th annual academic event directed by the HeiLongJiang Computer Federation, focusing on Data Science and Application. The conference serves as a platform for computer scientists, engineers, and educators to present original research across four main tracks: Research, Industry, Education, and Demo. Proceedings are planned for publication with Springer in the Communications in Computer and Information Science series.

Important Dates

Mon, Mar 30, 2026
Abstract registration deadline
Mon, Mar 30, 2026
Submission deadline
Mon, Mar 30, 2026
Submission Deadline of SCI Journals
Mon, Mar 30, 2026
Submission Deadline of EI Journals
Mon, Mar 30, 2026
Submission Deadline of Springer (EI indexed)
Thu, May 7, 2026
Notification of acceptance
Fri, Sep 25, 2026
Conference Dates

Call For Paper

Data Visualization
Data Security and Privacy
Basic Theory and Techniques for Data Science
Mathematical Issues in Data Science
Computational Theory for Data Science
Big Data Management and Applications
Data Quality and Data Preparation
Evaluation and Measurement in Data Science
Big Data Mining and Knowledge Management
Infrastructure for Data Science
Machine Learning for Data Science
Applications of Data Science
Case Study of Data Science
Multimedia Data Management and Analysis
Data-driven Scientific Research
Data-driven Bioinformatics
Data-driven Healthcare
Data-driven Management
Data-driven eGovernment
Data-driven Smart City/Planet
Data Marketing and Economics
Social Media and Recommendation Systems
Data-driven Security
Data-driven Business Model Innovation
Social and/or organizational impacts of Data Science
Application of Blockchain
Novel methods for data analytics
Novel methods or tools for data visualization
Novel methods or tools used in big data and its applications
Education using big data, intelligent computing or data mining, etc.
Education research, methods and materials for data science and engineering
Research demo
Industry Product Demo
Education Demo

The conference invites computer scientists, engineers and educators to submit original research, application and education papers on topics of Data Science and Application. Papers will be double-blindly reviewed without the authors' names and affiliations included.