Scopes
(The following topics include but are not limited to)
Track 1: Artificial Intelligence and Data Science Methods
Machine learning and deep learning algorithms
Big data analysis and mining technologies
Natural language processing and text mining
Computer vision and image processing
Interpretable artificial intelligence and interpretable machine learning
Knowledge graphs and information retrieval
Multi-source data fusion and multimodal analysis
Predictive modeling and time series analysis
Reinforcement learning and intelligent decision-making
Cloud computing and distributed data processing
Internet of Things and edge intelligence
Digital twin and simulation technology
Large models and agent technologies
Track 2: Big Data Analysis and Economic Modeling
Economic big data collection, storage and processing technologies
Data mining algorithms and knowledge discovery
Spatial big data analysis and economic trend prediction
Multi-source heterogeneous data fusion and cross-domain analysis
Macroeconomic modeling and big data empirical analysis
Financial big data analysis and risk management modeling
Enterprise operation big data and decision optimization
Data visualization and visual analysis technologies
Big data quality assessment and data governance
Big data-based basic models for economic management
Stream data processing and real-time economic monitoring
Privacy-preserving big data analysis and compliance applications
Track 3: Economic Management Decision-making and Business Applications
Data-driven enterprise strategic management decision-making
Intelligent supply chain and operation management optimization
Precision marketing and customer relationship management
Intelligent finance and accounting decision support
AI and big data applications in human resource management
Smart cities and public management decision-making
Medical health management and intelligent decision-making
Energy management and dual-carbon target decision support
Intelligent transportation and logistics management
Risk management and emergency management decision-making
Digital transformation and enterprise innovation management
Human-machine collaboration and intelligent decision-making systems
Data governance, privacy protection and AI ethics ......
Important Dates/重要日期
  • Submission Deadline: 2026.9.16
  • Registration Deadline: 2026.9.23
  • Conference Date: 2026.10.1
  • Notification Date: About a week after the submission
Submission Portal/投稿方式

Mail Address:  coartn_aeps@163.com

If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:

蒋老师
  • +86-15680824672(微信同号)
  • 3761629232
--
  • +86---(微信同号)
  • --