(The following topics include but are not limited to)
Track 1: Econometrics
Time series econometrics
Panel data models
Microeconomic methods
High-dimensional econometrics
Non-parametric/semi-parametric econometric methods and integration with machine learning
Causal inference, structural models and policy effect evaluation
Macroeconomic forecasting, scenario analysis and sensitivity testing
Bayesian econometrics and Bayesian inference
Track 2: Data Analysis
Data mining, knowledge discovery
Data analysis methods
Process optimization, predictive modeling
High-frequency data analysis Time series
Complex data analysis
Unstructured data
Data visualization, interactive analysis
Qualitative and quantitative analysis
Data analysis algorithms
System architecture design
Graph data analysis, graph neural networks
Data-driven decision support
Track 3: Risk Management
Risk and emergency governance system
Risk measurement and prediction
Risk assessment and failure analysis
Risk transmission path
Crisis response and emergency management
System engineering and risk management
Reliability engineering and risk management
Social risk management
Financial risk management, enterprise risk management
Supply chain risk management, environmental risk management
Recovery, sustainable development and reduction of future risks
Big data-driven risk analysis and management
Risk governance and big data
Public sentiment and risk perception
Application of big data in pandemic risk management
Risk analysis and management based on artificial intelligence technology
Artificial intelligence and public policy research
Food safety and artificial intelligence
Risk management and intelligent pricing ……