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BDAB 2026 : 7th International Conference on Big Data and Blockchain

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Link: https://acsty2026.org/bdab/index
 
When Feb 27, 2026 - Feb 28, 2026
Where Vancouver, Canada
Submission Deadline Jan 10, 2026
Notification Due Feb 10, 2026
Final Version Due Feb 17, 2026
Categories    big data   blockchain   security   privacy
 

Call For Papers

7th International Conference on Big Data and Blockchain (BDAB 2026)

February 27 ~ 28, 2026, Vancouver, Canada

Scope & Topics

7th International Conference on Big Data and Blockchain (BDAB 2026) invites high quality research contributions that advance the theory, systems, and applications of large scale data analytics and decentralized technologies. As Big Data, AI, and Blockchain continue to converge and reshape digital ecosystems, BDAB 2026 provides a premier international forum for researchers, practitioners, and industry innovators to present breakthroughs, discuss emerging challenges, and explore the future of trustworthy, data driven systems.

Topics of interest include, but are not limited to, the following

    Big Data Foundations & Infrastructure
  • Big Data architectures, platforms, and distributed systems
  • Cloud, edge, and grid computing for large scale data processing
  • High performance data storage, indexing, and retrieval
  • Data engineering, pipelines, and workflow automation
  • 5G/6G networks and next generation connectivity for Big Data


  • Big Data Analytics, Mining & Applications
  • Data mining, knowledge discovery, and predictive analytics
  • Large scale graph analytics and network science
  • Social media, behavioral, and web analytics
  • Big Data applications in bioinformatics, healthcare, finance, and multimedia
  • Real time and streaming data analytics
  • Machine learning and AI for Big Data systems


  • Data Management, Governance & Trust
  • Big Data management, integration, and quality
  • Data governance, provenance, and lifecycle management
  • Privacy preserving data analytics and secure computation
  • Big Data security, privacy, and trust frameworks
  • Federated learning and distributed data processing


  • Big Data Techniques, Models & Algorithms
  • Scalable algorithms for high dimensional and large volume data
  • Statistical models and probabilistic reasoning
  • Optimization techniques for large scale learning
  • Visualization of complex and high dimensional datasets
  • Data centric AI and dataset engineering


  • Blockchain Foundations & Core Technologies
  • Blockchain architectures, protocols, and system design
  • Consensus algorithms (PoS, BFT, DAG based, hybrid models)
  • Smart contracts: design, verification, and security
  • Distributed ledger technologies (DLT) and Web3 infrastructure
  • Blockchain scalability, performance, and interoperability


  • Blockchain Security, Privacy & Trust
  • Blockchain attacks, vulnerabilities, and threat modeling
  • Authentication, authorization, and identity management
  • Zero knowledge proofs and privacy enhancing technologies
  • Secure blockchain based IoT systems
  • Blockchain for digital forensics and auditability


  • Blockchain Applications & Emerging Trends
  • Blockchain for supply chain, finance, healthcare, and government
  • Tokenomics, decentralized finance (DeFi), and digital assets
  • Decentralized autonomous organizations (DAOs)
  • Blockchain enabled cyber physical and IoT systems
  • Cross chain communication and interoperability protocols


  • Convergence of Big Data, AI &Blockchain
  • Blockchain based data sharing and secure data marketplaces
  • AI driven blockchain optimization and analytics
  • Big Data pipelines for blockchain monitoring and anomaly detection
  • Trustworthy AI using blockchain for transparency and auditability
  • Distributed AI and federated learning over blockchain networks


  • Future Directions & Frontier Technologies
  • Quantum resistant blockchain and post quantum cryptography
  • Green and energy efficient Big Data and blockchain systems
  • Autonomous agents and decentralized intelligence
  • Ethical, legal, and societal implications of Big Data and blockchain
  • Next generation decentralized applications (dApps) and Web3 ecosystems

Paper Submission

Authors are invited to submit papers through the conference Submission System by January 10, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from BDAP 2026, after further revisions, will be published in the special issue of the following journals.

Important Dates

Submission Deadline: January 10, 2026
Authors Notification: February 10, 2026
Final Manuscript Due: February 17, 2026

Co - Located Event

***** The invited talk proposals can be submitted to bdab@acsty2026.org

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