Call for Papers

2027 International Conference on Intelligent Economy, Intelligent Decision-Making and Data Science（IEIDDS 2027） cordially invites researchers from around the world to share their experiences and insights, fostering fruitful discussions. We are now calling for high-quality submissions on topics including, but not limited to, those listed below. Submissions should present significant, original, and unpublished results:

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Track 1 Foundations of Data Science and Intelligent Computing

• Machine learning, deep learning and representation learning • Multisource heterogeneous data integration and large-scale data mining • Graph neural networks, knowledge graphs and intelligent data mining • Natural language processing and generative AI for intelligent analytics • Explainable AI, trustworthy AI and algorithmic fairness • Privacy-preserving computation, federated learning and data governance

Track 2 Intelligent DecisionMaking: Algorithms, Systems and Optimization

• AI-powered decision support systems and recommendation engines • Reinforcement learning for dynamic decision optimization • Multi-objective optimization, evolutionary computation and intelligent planning • Human–AI collaborative decision-making mechanisms • Intelligent knowledge reasoning and hybrid decision models • Multi-agent systems and game-theoretic intelligent decision-making • Large language models for domain-specific decision intelligence

Track 3 Computational Intelligence for Financial and Economic Systems

• Machine Learning for Economic and Financial Forecasting • Financial Data Mining and Intelligent Analytics • AI-based Risk Assessment and Early Warning Systems • Computational Finance and Algorithmic Modeling • Data-driven Portfolio Optimization and Asset Allocation • Intelligent Fraud Detection and Anomaly Analysis • Knowledge Graphs and Large Language Models for Financial Intelligence • Blockchain and Distributed Computing for Financial Applications • Computational Modeling of Economic and Market Dynamics

Track 4 Data-Driven Intelligent Systems and Applications

• Intelligent Decision Support and Data-driven Systems • AI-enabled Optimization for Complex Systems • Smart City Computing and Urban Intelligence • Intelligent Transportation and Mobility Analytics • Data-driven Supply Chain and Logistics Optimization • Digital Twins and Intelligent Simulation • Knowledge Discovery and Predictive Analytics • AI for Sustainable and Energy-efficient Systems • Human-centered and Responsible Artificial Intelligence