Paper Submission

Important Dates







Scope and Topics

Big data technologies are the main instrument to advance the state-of-the-art in all application fields nowadays. In transferring from Industry 4.0 to Society 5.0 there is a continuous interaction between the physical space and the cyberspace targeting to improve people’s well-being. Data are collected in the physical space by sensors and devices, and are accumulated as big data in the cyberspace, accessed through cloud environments and stored in data centers. Artificial intelligence and machine learning technologies, including generative AI and large language or visual-language models are used to analyze the data, produce meaningful decisions and provide effective services to citizens and businesses. These are implemented by machines and robots, enhanced with VR and AR technologies and materialized by 3-D printers. In this framework our Conference aims to present, evaluate and discuss all big data technologies related to this evolution.

We welcome contributions from the following fields, but not limited to:

  • Communication and Computation solutions for Big Data Analytics
  • Artificial Intelligence and Machine Learning in Big data analytics
  • Distributed and Federated Machine Learning for Big Data processing
  • Data Visualization and Visual Analytics
  • Scalable Computational Intelligence Tools
  • Real-time Big Data processing and analysis
  • Big Data security and privacy
  • Big data applications and case-studies
  • Ethical implications of Big data analysis
  • Emerging Technolgies, trends, and innovations in Big data analytics
  • Big data applications in Internet of things and sensory systems
  • Blockchain Technologies for Big data analytics
  • Cloud-based Big data platforms
  • Edge and fog computing for Big data analytics
  • Data collection and pre-processing methodologies in Big data applications
  • Natural Language Processing in Big Texts
  • Biomedical Imaging Pre-processing and Analysis
  • Structured and Unstructured Data Mining
  • Deep Learning Architecture, Representations, Unsupervised and Supervised algorithms
  • Neurmorphic Cognitive Learning Algorithms and Systems
  • Artificial Intelligence in Healthcare and Medicine
  • Artificial Intelligence in Precision Agriculture
  • Novel Computational Intelligence Approaches for Data Analysis
  • Evolutionary and Bio-inspired Approaches for Big Data Analysis
  • New Domains and Novel Applications Related to Big Data Technologies
  • Educational Data Mining, and Learning Analysis


All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MathSciNet, Inspec and Zentralblatt MATH.

Authors of selected papers will be invited to submit an extended version to:

Springer Mobile Networks and Applications (MONET) Journal (IF: 3.8)

All accepted authors are eligible to submit an extended version in a fast track of:

EAI Endorsed Transactions on Scalable Information Systems (ESCI-WoS, Scopus, Compendex)

EAI Endorsed Transactions on AI and Robotics

Additional publication opportunities:

Paper Submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

  1. Regular papers should be up to 12-16 pages in length.
  2. Short papers should be 6-8 pages in length.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

Author’s kit – Instructions and Templates (SPRINGER)

Papers must be formatted using the Springer LNICST/ EASICC Authors’ Kit.

Instructions and templates are available from Springer’s LNICST homepage:

Please make sure that your paper adheres to the format as specified in the instructions and templates.

When uploading the camera-ready copy of your paper, please be sure to upload both:

  • a PDF copy of your paper formatted according to the above templates, and
  • an archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and LaTeX or Word source material prepared according to the above guidelines. 


Transport systems in industry 5.0
  1. Development of digital twins focused on decision-makers
  2. Industry 5.0 and Sports Science
  3. Workshop Chair: Carlos Martner
Attendance: scientists, students and professionals