Invitations sent out for paper submissions:
15 Feb, 2026
Submission deadline for all invited papers: 11 April, 2026
25 April, 2026 (extended)
Review deadline and acceptance notifications:
16 May, 2026
Submission of camera-ready versions to IEEE:
31 May, 2026
Symposium Chairs
Prof. Gang Huang, School of Computer Science, Peking University
Symposium Co-Chairs
Di Wu, Senior Lecture/Deputy Director of Cisco-La Trobe Centre for AI and IoT, La Trobe University, Australia
Bo Ding, Professor of School of Computer Science and Technology, Harbin University of Science and Technology
Xiaohan Yu, Lecturer in AI, School of Computing, Macquarie University, Australia
The term “data space” has been in existence for nearly two decades since its introduction in 2005. During this period, as the value and importance of data have continued to grow, various industries have developed their own perspectives on data spaces, and a wide range of related technological frameworks have emerged, giving rise to distinct and clearly defined independent data spaces. With the volume of data generated by IoT and edge devices explodes, data spaces are regarded as a new paradigm for the transformation of the entire cyberspace from a computing-centric to a data-centric model. It unlocks unprecedented opportunities—from autonomous systems to industrial IoT and sustainable energy grids to smart cities. However, challenges remain in interoperability, trustworthy, and standardization at both the edge and the data space. While data spaces provide the governance and business logic for data sharing, Edge Computing provides the infrastructure.
The IEEE Symposium on Data Spaces Enabled by Edge brings together academic researchers, industry pioneers, and policy-makers to explore Edge-Enabled Data Spaces: From Architecture to Industry Adoption, including edge data intelligence, low-latency communication for data spaces, security for distributed edge-data environments, semantic interoperability and FAIR data principles, and Cross-domain data exchange. Together, let’s bridge the edge and the data space—enabling a future where data flows freely, securely, and meaningfully. The relevant topics of this symposium include: