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 Submissions should present significant, original, and unpublished results: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 largescale 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 • Privacypreserving computation, federated learning and data governance

Track 2 Intelligent DecisionMaking: Algorithms, Systems and Optimization

• AIpowered decision support systems and recommendation engines • Reinforcement learning for dynamic decision optimization • Multiobjective optimization, evolutionary computation and intelligent planning • Human–AI collaborative decisionmaking mechanisms • Intelligent knowledge reasoning and hybrid decision models • Multiagent systems and gametheoretic intelligent decisionmaking • Large language models for domainspecific decision intelligence

Track 3 Computational Intelligence for Economy and Finance

• AIdriven macroeconomic forecasting and economic intelligence analytics • Big databased financial market prediction and risk analytics • Intelligent financial risk assessment and early warning systems • Datadriven portfolio optimization and algorithmic asset allocation • Machine learning approaches for economic behavior modeling • FinTech intelligence: blockchain, smart contracts and central bank digital currencies • Digital economy measurement and data asset valuation via computational methods

Track 4 DataDriven Governance, Operations and Sustainability

• Datadriven public policy evaluation and digital governance • Intelligent supply chain management and resilience optimization • AIenabled production scheduling and business operations analytics • Intelligent customer behavior analytics and business intelligence • Smart city analytics and intelligent transportation optimization • AIenabled sustainable development assessment and intelligent carbon management • AI for social risk prediction and responsible AI in digital markets