
2026 2nd International Conference on Information Management and Data Science (IMDS 2026)will be held in Guangzhou, China on November 27-29, 2026.
The conference aims to bring together the world's leading academics, researchers, industry experts and business people to discuss the important topic of how artificial intelligence technology can help achieve sustainable development. The conference will focus on cutting-edge research results and innovative applications of artificial Intelligence in the fields of climate change, clean energy management, smart cities, environmental monitoring, agricultural intelligence, and disaster management. Through in-depth exchanges and interdisciplinary cooperation, IMDS 2026 aims to promote the practical application ofartificial Intelligence technologies in solving global sustainability challenges, improving resource efficiency, environmental protection and social well-being. Participants will have the opportunity to share the latest research results, discuss key technical issues, promote the integration of industry, university and research, and jointly promote the goal of global sustainable development.
IMDS 2026 looks forward to your participation as we work together towards a better future.
Submission Date
☑ September 9, 2026
Registration Deadline
☑ October 30, 2026
Notification Date
☑ October 14, 2026
Conference Dates
☑ November 27-29, 2026
Venue: Guangzhou, China
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 submitted to EI Compendex, Scopus.
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.