Full-length paper
Up to 10 pages in IEEE 2-column format, including references; no appendix allowed; must be original research or significant work-in-progress.
AI/CORE B
BigData 2026
IEEE International Conference on Big Data
The IEEE BigData 2026 conference is the premier global forum for the big data community, continuing a series that began in 2013. It provides a platform for researchers and practitioners to share groundbreaking research and applications in big data across science, healthcare, finance, and social infrastructure, with a focus on the 5Vs (Volume, Velocity, Variety, Value, Veracity) and emerging areas like foundation models and data ecosystems.
Key deadlines
Verified September 9, 2026Full paper
August 22, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
August 22, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Extended abstract
2-4 pages, specifically for the Industrial & Government Track.
Research areas in scope
01
Topics of Interest
Big Data Science and FoundationsNew Data StandardsData and Information Quality for Big DataNew Computational Models for Big DataNovel Theoretical Models for Big DataBig Data InfrastructureSoftware Systems to Support Big Data ComputingNew Programming Models for Big Data beyond Hadoop/MapReduce, STORMBig Data Open PlatformsSoftware Techniques and Architectures in Cloud/Grid/Stream ComputingProgramming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big DataEnergy-efficient Computing for Big DataAutonomic Computing and Cyber-infrastructure, System Architectures, Design and DeploymentHigh Performance/Parallel Computing Platforms for Big DataCloud/Grid/Stream Computing for Big DataBig Data ManagementCompliance and Governance for Big DataMultimedia and Multi-structured Data- Big Variety DataMobility and Big DataCloud/Grid/Stream Data Mining- Big Velocity DataLarge-scale Recommendation Systems and Social Media SystemsComputational Modeling and Data IntegrationData Acquisition, Integration, Cleaning, and Best PracticesBig Data Search and MiningSearch and Mining of a variety of datamultimedia datasocial, sensor/IoT/IoEscientific and engineeringData EcosystemExperimental studies of fairness, diversity, accountability, and transparencyEcosystem assessment, valuation, and sustainabilityTrust management in Big Data systemsPrivacy preserving Big Data collection/analyticsTrust, resilience, privacy, and security issuesMethods for data exchange, monetization, and pricingEcosystem services and managementData concepts, theory, structure, and processFoundation Models for Big DataFoundation Model Operationalization for multiple usersPrompt Engineering and its ManagementBig data management for prompt-tuningBig data management for fine-tuningBig data management for pre-trainingBig Data ApplicationsComplex Big Data Domain Applications in EngineeringHuman ResourcesCybersecurityIndustrial IoTMedia and EntertainmentTelecommunicationAdvertisingMarketingSupply ChainsRetailingTransportationLogisticsEducationLawBusinessFinanceUrban PlanningSmart CitiesBig Data for ScienceScience Knowledge Foundation ModelsAI-accelerated Simulations and ModelingAI-Ready Scientific Big Data Systems and AnalysisMedicine and Health ScienceChemical Engineering and Synthetic BiologyMaterials InformaticsGeospatial and Planetary AnalyticsClimate and Earth SciencesGenomics and Bioinformatics, Structural BiologyScience Computational AstrophysicsAI-Driven Scientific Discovery in Physical SciencesBig Data BenchmarksResponsible Dataset DevelopmentAdvanced Collection and Curation PracticesData-Centric AI Methods, Tools, and SystemsData Generators and Synthetic EnvironmentsBenchmarking Tools and PlatformsBenchmarks and Evaluation FrameworksNew Datasets and CollectionsBig Data BlueSky IdeasNovel Interdisciplinary SynthesisParadigm-Shifting ApplicationsFoundational Assumption ChallengesNew Algorithmic OpportunitiesComplex and Hard Problem SolvingTrending, Emerging, Bold, or Visionary Concepts
Policies worth checking twice
- The conference adopts a single-blind review policy.
- Papers must not exceed 10 pages, including references.
- No appendix is allowed.
- Papers must be formatted according to IEEE Computer Society Proceedings Manuscript Formatting Guidelines.
- Papers should prioritize the most important experiments within the page limit.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteImportant DatesCall For PapersCall For Workshop ProposalsCall for TutorialsPaper Submission
Last verified September 9, 2026