Call for Papers

Scope

The BigDIA 2026 will 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. Topics of interest include, but are not limited to:

Fundamental theories for Big Data analytics

• Statistical theories for Big Data
• Computer science theories for Big Data
• Mathematical theories for Big Data
• Big Data computing: architecture, infrastructure, database, algorithm, platform, visualization
• Programming models and environments for cluster, cloud, and grid computing to support Big Data
• Large models and Big Data

Application areas

• Multimodal and multi-structured Data
• Finance and economics
• Industrial Big Data
• Wearable or mobile device data
• Internet of things
• Big Data prediction and decision-support systems
• Cloud/Grid/Stream data mining- big velocity data
• Big Data management in cloud
• Other applications of Big Data

Paper Submission

You are invited to submit full papers (a maximum of 8 pages including references), written in English and be formatted according to the IEEE conference templates which can be downloaded at here. Accepted papers will be submitted for inclusion into the IEEE Xplore^TM. Please visit the BigDIA 2026 webpage https://2026.bigdia.org for more information.
Paper submissions are to be made using exclusively EasyChair submission window https://easychair.org/cfp/BigDIA2026 as PDF files.

Important Dates