about
About DEDS 2027
The 2027 International Conference on Digital Economy and Data Science (DEDS 2027) will be held from July 27 to 29, 2027, in Chengdu, China. With the rapid development of the new technological revolution and industrial transformation, the digital economy has become a major driving force for global economic growth, industrial upgrading, and social innovation. Emerging technologies, including big data, artificial intelligence, and data science, are profoundly transforming economic activities, business models, and social governance. Promoting the deep integration of digital technologies with the real economy, unlocking the value of data as a key production factor, and advancing innovations in data science and their industrial applications have become important topics of common interest to both academia and industry.
DEDS 2027 aims to provide a platform for researchers, scholars, engineers, and industry professionals working in digital economy, data science, artificial intelligence, computer science, economics, management, and related fields to share research findings and cutting-edge technologies, exchange academic ideas, explore emerging trends, and foster interdisciplinary collaboration. The conference also seeks to promote academic innovation, facilitate the practical application and commercialization of research achievements, and explore new opportunities for the integrated development of the digital economy and data science.
date
Important Dates
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Topics
The topics of interest for submission include, but are not limited to:
Digital Economy and Business Innovation
Digital Economy and Economic Growth
Digital Transformation and Industrial Upgrading
Digital Business Models and Innovation
E-commerce and Digital Trade
Digital Finance and FinTech
Platform Economy and Sharing Economy
Digital Marketing and Consumer Behavior
Digital Entrepreneurship and Innovation Management
Industrial Internet and Smart Manufacturing
Digital Economy and Regional Development
Data Science and Big Data Analytics
Big Data Analytics and Applications
Data Mining and Knowledge Discovery
Statistical Modeling and Data Analysis
Data Visualization and Visual Analytics
Predictive Analytics and Decision Support
Data Management and Database Systems
Data Processing and Information Retrieval
Data Quality and Data Integration
Business Intelligence and Data-Driven Decision Making
Data Science in Economic and Social Research
Artificial Intelligence and Emerging Digital Technologies
Artificial Intelligence and Intelligent Systems
Machine Learning and Deep Learning
Natural Language Processing
Computer Vision and Image Recognition
Generative Artificial Intelligence and Large Language Models
Intelligent Decision-Making and Optimization
Internet of Things and Edge Computing
Cloud Computing and Distributed Systems
Blockchain Technology and Applications
Digital Twins and Intelligent Automation
Digital Governance, Management and Applications
Digital Governance and Public Administration
Data Security and Privacy Protection
Data Governance and Data Asset Management
Information Systems and Management
Digital Supply Chain and Logistics Management
Smart Cities and Intelligent Urban Management
Digital Healthcare and Smart Medical Systems
Digital Education and Educational Data Analytics
Sustainable Development and Green Digital Economy
Risk Management and Digital Decision Support
Publication
Publication
All accepted full papers will be published in the conference proceedings and will be submitted to Ei Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
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