BigDIA 2023

International Conference on Big Data and Information Analytics (BigDIA), which is co-founded by York University (Canada), National University of Defense Technology (China) and Xi’an Jiaotong University (China) since 2015, is to bring together research scientists from academia, industries, and government agencies to report progress and exchange ideas to address challenges in fundamental research and rapid knowledge translation in collecting, processing, analyzing, integrating, annotating and visualizing Big Data for scientific exploration, business and policy decision-making.
This is the ninth meeting of the annual conference series previously held in USA, Canada and China. The primary goal of the annual conference is to exchange and stimulate innovative ideas of state-of-art data science approaches and technologies to collect, process, analyze, integrate, annotate and visualize Big Data; to promote interactions and collaborations among all scientists, researchers and practitioners who develop data science theories, algorithms and methods to deal with and analyze Big Data from different aspects such as computer science, statistics, mathematics and other quantitative/computational sciences as well as domain-specific applications.


Past Conferences:




Congress has ended
Important Dates

Conference Date

December 15 - 17, 2024

Abstract Submission Deadline

December 31, 2024

Advanced Registration Deadline

December 24, 2024

On-Site Registration Date

December 14, 2024

Announcement

Registration for the conference is on December 15th, with sessions on the 16th and 17th. Please make your own travel and accommodation arrangements.

Call for Papers is Available. For more details please click HERE.

Individual registration can be accessed via this link

Information About How to Become a Sponsor is Available. For more details please click HERE.

Are you attending BigDIA 2023 from outside of Mainland China? Make sure to check our Visa Policy for important information on entry requirements and visa-free countries.