Topic Editors

Computer Science Department, College of Engineering, Effat University, Jeddah, Saudi Arabia
Department of Economics and Economic Policy, Bucharest University of Economic Studies, 010374 Bucharest, Romania

Big Data and Artificial Intelligence, 3rd Edition

Abstract submission deadline
30 May 2026
Manuscript submission deadline
30 August 2026
Viewed by
15

Topic Information

Dear Colleagues,

The evolution of research on big data and artificial intelligence in recent years challenges almost all domains of human activity. The potential of artificial intelligence to act as a catalyst for all given business models, and the capacity of big data research to provide sophisticated data and service ecosystems at a global scale, provide a challenging context for scientific contributions and applied research. This Topic section promotes scientific dialogue for the added value of novel methodological approaches and research in the specified areas. Our interests are in the entire end-to-end spectrum of big data and artificial intelligence research, from social sciences to computer science, including strategic frameworks, models, and best practices, and sophisticated research related to radical innovation. The topics include, but are not limited to, the following indicative list:

  • Enabling Technologies for Big Data and AI Research
    • Data warehouses;
    • Business intelligence;
    • Machine learning;
    • Neural networks;
    • Natural language processing;
    • Image processing;
    • Bot technology;
    • AI agents;
    • Analytics and dashboards;
    • Distributed computing;
    • Edge computing.
  • Methodologies, Frameworks, and Models for Artificial Intelligence and Big Data Research
    • Towards sustainable development goals;
    • As responses to social problems and challenges;
    • For innovations in business, research, academia, industry, and technology;
    • For theoretical foundations and contributions to the body of knowledge of AI and Big Data research.
  • Best practices and use cases;
  • Outcomes of R&D projects;
  • Advanced data science analytics;
  • Industry–government collaboration;
  • Systems of information systems;
  • Interoperability issues;
  • Security and privacy issues;
  • Ethics on big data and AI;
  • Social impact of AI;
  • Open data.

Prof. Dr. Miltiadis D. Lytras
Prof. Dr. Andreea Claudia Serban
Topic Editors

Keywords

  • artificial intelligence
  • big data
  • machine learning
  • open data
  • decision making

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
AI
ai
3.1 7.2 2020 18.9 Days CHF 1600 Submit
Big Data and Cognitive Computing
BDCC
3.7 7.1 2017 25.3 Days CHF 1800 Submit
Future Internet
futureinternet
2.8 7.1 2009 16.9 Days CHF 1600 Submit
Information
information
2.4 6.9 2010 16.4 Days CHF 1600 Submit
Sustainability
sustainability
3.3 6.8 2009 19.7 Days CHF 2400 Submit

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