data mining & big dataComputer Science and Technologies

Full name: 2026 The 7th International Conference on Big Data Research (ICBDR 2026)
Abbreviation: ICBDR 2026
March 27-29, 2026 ▪ Chengdu, China

The 7th International Conference on Big Data Research (ICBDR 2026) will take place in Chengdu, China during March 27-29, 2026. It is co-organized by Southwestern University of Finance and Economics, China and Southwest University of Science and Technology, China; assisted by Donghua University, China.

Big data research is now well established as very diverse and pluri-disciplinary research area whose objective is to deal with massive and heterogeneous datasets and that are too large to be manipulated by conventional modeling and most current computational approaches. Clearly, big data challenges should require novel approaches and success stories should be shared, this favoring exchanges, cross-fertilization and finally advances as well as future research directions to consider. The conference will also provide a platform for networking and collaboration, enabling participants to build valuable connections with colleagues from around the world.

★Publication:
Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings.

★Topics:
Topics of interest for submission include, but are not limited to:
Track1: Big Data Models and Algorithms
▪ Foundational Models for Big Data
▪ Algorithms and Programming Techniques for Big Data Processing
▪ Big Data Analytics and Metrics
▪ Representation Formats for Multimedia Big Data

Track2: Big Data Architectures
▪ Cloud Computing Techniques for Big Data
▪ Big Data as a Service
▪ Big Data Open Platforms
▪ Big Data in Mobile and Pervasive Computing

Track3: Big Data Management
▪ Big Data Persistence and Preservation
▪ Big Data Quality and Provenance Control
▪ Big Data Storage and Retrieval

Track4: Big Data Security and Privacy
▪ Big Data System Security and Integrity
▪ Big Data Information Security
▪ Privacy Preserving Big Data Analytics

Track5: Big Data in Smart Cities
▪ Big Data for Improving Resilient Infrastructures
▪ Big Data Applications such as Healthcare and Transportation
▪ Big Data for Enterprise, Government, and Society
▪ Big Data for Science and Engineering Research

Track6: Big Data Search, Mining, and Visualization
▪ Algorithms and Systems for Big Data Search
▪ Distributed, and Peer-to-peer Search
▪ Machine learning based on Big Data
▪ Visualization Analytics for Big Data

For more topics, please visit: https://www.icbdr.org/cfp.html

★Submission Guideline:
♢ English is the official language. Paper should be prepared and presented in English.
♢ Full paper (no less than 5 Pages in two-column format) submission is required for Publication and Presentation. For presentation only, just send us the abstract.
♢ Submission:
- By online submission system: https://confsys.iconf.org/submission/icbdr2026
- Submit to icbdr_contact@163.com as attachment. The email subject should be named as "Submission-ICBDR 2026-Full Paper/ Abstract"

★Chengdu:
Chengdu, abbreviated as "Rong," also known as Rongcheng and Jincheng, is the capital of Sichuan Province, a sub-provincial city, a mega-city, and the core city of the Chengdu-Chongqing economic circle. It is an important central city in Western China, approved by the State Council, and a key national high-tech industrial base, commercial logistics center, and comprehensive transportation hub. The city has 12 districts, 3 counties, and administers 5 county-level cities.

Chengdu is one of the top ten ancient capitals of China and one of the first national historical and cultural cities. It is the birthplace of the ancient Shu civilization. Chengdu boasts famous historical sites and attractions, including Dujiangyan, Wuhou Temple, Thatched Cottage of Poet Du Fu, Jinsha Site Museum, making it one of the best tourist cities in China.

★Contact Us:
Conference Secretary: Miss Tessa Chen
Email: icbdr_contact@163.com
Tel: +86-15681915997
Website: https://www.icbdr.org
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)