Category Big Data Research

Deadline: February 20, 2026 | Date: March 27, 2026-March 29, 2026

Venue/Country: Chengdu, China

Updated: 2025-06-13 11:38:14 (GMT+9)

Call For Papers - CFP

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