Call for Papers

As computing systems grow in scale, complexity, and integration, Big Data technologies and services have become more critical than ever. IEEE BigDataService 2025 serves as a premier international forum for researchers and practitioners from academia and industry to exchange cutting-edge ideas, share innovative research, and discuss real-world applications and challenges in the field.

The conference will be held in person in Fukuoka, Japan, July 27-30, 2026, as part of the CISOSE 2026 congress.

 Topics of interest include (but are not limited to) the following:

Big Data Analytics and Machine Learning

• Algorithms and systems for big data analytics
• Big data Machine learning, predictive and causal analytics
• Visualization and visual analytics systems for big data
• Knowledge modeling, extraction, discovery, analysis, and presentation
• Big data Business intelligence
• Optimization and agentic models for big data
• Artificial intelligence models at scale
• Large language models
• Neuro-symbolic approaches at large scale

Integrated and Distributed Systems

• Sensor networks
• Internet of Things, web of things
• Networking and protocols
• Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.)

Big Data Platforms and Technologies

• Innovative, concurrent, and scalable big data platforms
• Data indexing, cleaning, transformation, and curation technologies
• Big data processing frameworks and technologies
• Big data services and application development methods and tools
• Big data quality evaluation and assurance technologies
• Big data system reliability, dependability, and availability
• Open-source development and technology for big data
• Big Data as a Service (BDaaS) platform and technologies

Big Data Foundations

• Foundational theoretical or computational models for big data
• Programming models, theories, and algorithms for big data
• Standards, protocols, and quality assurance for big data

Big Data Applications and Experiences

• Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, security
• Experiences and case studies of big data applications and services
• Real-world and large-scale practices of big data