Computer Science, AI and Data Science for Economics and Business (AI4EcoBiz 2026)
The rapid advancement of Computer Science, Artificial Intelligence, and Data Science is reshaping industries, economies, and business ecosystems worldwide. Emerging technologies such as machine learning, generative AI, big data analytics, cloud computing, intelligent automation, and digital transformation are enabling organizations to innovate, optimize operations, and improve decision-making in unprecedented ways.
To foster international collaboration and promote interdisciplinary research, the Special Session “AI4EcoBiz 2026” provides a premier forum for researchers, academics, practitioners, industry experts, policymakers, and students to exchange ideas, present research findings, and discuss practical applications of intelligent and data-driven technologies.
AI4EcoBiz 2026 welcomes high-quality original research papers, industrial case studies, and application-oriented contributions addressing both theoretical advances and real-world implementations. The workshop particularly encourages interdisciplinary research bridging academia and industry in support of innovation, digital transformation, and sustainable development.
Topics of Interests
The AI4EcoBiz 2026 session invites submissions in, but not limited to, the following areas:
Data Science and Analytics
- Big data analytics and business intelligence
- Data mining and knowledge discovery
- Predictive analytics and forecasting
- Statistical learning and optimization
- Data visualization and visual analytics
- Real-time data processing
- Time-series and graph analytics
- Data engineering and MLOps
Applications in Industry, Economics, and Business
- Smart manufacturing and Industry 4.0
- Intelligent transportation and logistics
- FinTech and digital banking
- Economic forecasting and market analytics
- AI applications in finance and business
- Marketing analytics and recommendation systems
- E-commerce and digital platforms
- Business process automation
- Innovation management and digital entrepreneurship
- AI for sustainable development
Submission Categories
- Full research papers
- Short papers
- Industrial application papers
- Review and survey papers
- Posters and demos
Submission Guideline
https://kse2026.kse-conferences.org/call-for-papers/
Session Organizers
Prof. Toshiaki Aoki (Lead Organizer)
School of Information Science, Japan Advanced Institute of Science and Technology (JAIST, Japan), toshiaki@jaist.ac.jp
Dr. Nguyen Van Tang
Faculty of Technology and Data Science, Hanoi Foreign Trade University, Vietnam, tangnv@ftu.edu.vn
Dr. Masatsugu Hashimoto
Senior Software and AI Engineer, Visual Media Intelligence, Japan
Prof. Tran Minh-Ngoc
Professor of Business Analytics, Business School, The University of Sydney, Australia, minh-ngoc.tran@sydney.edu.au
Assoc. Prof. Cyrille Artho
KTH Royal Institute of Technology, Sweden, artho@kth.se
Prof. Ryosuke Saga
School of Informatics, Osaka Metropolitan University, Japan
Assist. Prof. Jiansong Tang
School of Informatics, Osaka Metropolitan University, Japan
Dr. Nguyen Ngoc Bao
Senior Software and AI Engineer, Google Inc, USA, ngocbao@gmail.com
Assoc. Prof. Anchit Bijawan, Bristish University in Vietnam
School of Computing & Innovative Technologies, British University Vietnam (BUV), anchit.b@buv.edu.vn
Dr. Nguyen Thai Binh
Senior AI Engineer, RAVEN Controls, UK
Dr. Nguyen Viet Cuong
Senior AI Engineer, HPC System Inc, Japan
Dr. Bui Thanh Hung
Faculty of Information Technology, HCM University of Industry, Vietnam