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 Submissions should present significant, original, and unpublished results: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 Macroeconomic Policy and Financial Risk Management

• Macroeconomic forecasting with big data • Financial risk contagion networks • High‑frequency volatility modeling • Climate risk asset pricing • Monetary policy transmission effects • Credit rating and default prediction • Catastrophe bond pricing • Exchange rate shock analysis • Higher-order moment risk in portfolios • Construction of financial stress indices

Track 2 Intelligent Decision Support Systems and Artificial Intelligence

• Vertical applications of large language models • Multi-objective dynamic optimization • Information gap decision theory • Offline reinforcement learning for pricing • Trust mechanisms in human–machine collaboration • Hybrid rule-based and case-based reasoning • Consensus reaching in group decision‑making • Explainable compliance verification • Evolutionary game theory and policy simulation • Contextual bandit recommendation systems

Track 3 Digital Economy, Blockchain, and FinTech

• Impact of central bank digital currencies • Smart contract-based supply chain finance • Measurement of digital financial inclusion • Pricing factors of non-fungible tokens (NFTs) • Algorithmic fairness regulation • DeFi risk measurement • Marketization of data elements • Identification of big data price discrimination • Exchange rate hedging in cross‑border payments • Valuation accounting in the metaverse

Track 4 Corporate Strategy Management and Operations Optimization

• Data-driven total factor productivity • Supply chain resilience assessment • Multi-agent competitive games • Digital lean production scheduling • Employee behavior profiling and early warning • Pricing strategies for two‑sided platforms • Global value chain restructuring • Sentiment analysis of annual report texts • Optimization of customer queue waiting • Knowledge networks and collaborative innovation

Track 5 Big Data Mining and Business Intelligence Analytics

• Cross-platform sentiment evolution • Multi-source heterogeneous data fusion • GAN-based anomaly detection • Graph neural network-based recommendation • Opportunity mining from patent texts • Intelligent visual drill-down • Federated learning collaborative modeling • Commercial district radiation and layout • Customer lifetime value prediction • Topic evolution in review texts

Track 6 Sustainable Development, Public Administration, and Policy Evaluation

• Real-time carbon emission accounting • Effects of environmental regulations • Smart traffic scheduling • Simulation of pension fund gaps • Classification of government hotline appeals • Efficiency evaluation of industrial assistance • Material reserve allocation • Spatial econometrics of the "double reduction" policy • Impact of ESG rating divergence • Risk assessment of public–private partnership (PPP) projects