The BigDIA 2024 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
Swarm intelligence
Cognitive computing for Big Data

Application areas

EHR and health care Big Data
Bioinformatics
Precision medicine
Multimedia and multi-structured Data
Finance and economics
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
Industrial Big Data