about

About DIS 2026

The 2026 International Conference on Data and Information Systems (DIS 2026) will be held from November 13 to 15, 2026, in Chengdu, China. The conference aims to provide a high-level platform for researchers, academics, and industry practitioners in data science, information systems, and related fields to exchange ideas and explore cutting-edge theories, key technological breakthroughs, and innovative applications.
As data has emerged as a critical production factor and artificial intelligence rapidly evolves toward general intelligence, building efficient, secure, and trustworthy intelligent information systems has emerged as a central focus for both academia and industry. In line with this theme, the conference features four parallel tracks dedicated to: foundational theories and advanced technologies in data science and artificial intelligence; innovations in information systems architecture and platforms; vertical applications of data intelligence in key industries; and emerging paradigms and practical implementations of intelligent systems and machine learning. Together, these tracks span the entire spectrum from underlying algorithms to high-level applications.
As a hub of technology and innovation in Western China, Chengdu blends rich cultural heritage with modern dynamism, offering a unique setting for academic exchange. We warmly invite researchers and experts from around the world to join us in advancing the frontiers of data and information systems. We look forward to welcoming you to Chengdu in the fall of 2026.
Welcome


2026 Internetional Conference of Data and Information Systems
(DIS 2026)

☞ Topics

☀ Important Dates

Full Paper Submission Date

☑ August 30, 2026

Registration Deadline

☑September 30, 2026

Final Paper Submission Date

☑ October 12, 2026

Conference Dates

☑November 11-13, 2026

Venue: Chengdu, China

Publication

Publication

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus  for indexing.

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or 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 academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

Supported by

Sponsored  by

成都信息工程大学logo.jpg

Chengdu University of Information Technology, China


Supported  by

e386b49b79e062f0676d5486b0baa174.jpg          b6a9adb44f2c788d55b9042ac776c4f5.jpg          5a0c797e750269d9229f4a764a03a3cc.jpg

    Sichuan University, China            Yunnan Normal University, China             Sichuan Tourism College, China

bc793a22c44e7232fc28a4eb89b6852e.jpg        d878ea4c84a37945fbfdb1d8ec2ebf6a.jpg

University of Electronic Science                  Chongqing University of Posts 

and Technology of China, China                and Telecommunications, China 

code

Copyright ©   DIS 2026

2026 Internetional Conference of Data and Information Systems (DIS 2026)    http://www.ic-dis.com/