COP 31
Symposium Topics
The symposium welcomes theoretical and applied research contributions in the fields of econometrics, operations research, statistics, and related quantitative disciplines.
Managing the Future: Artificial Intelligence, Sustainability and Digital Transformation
Econometrics
- Econometric Theory and Methods
- Applied Econometrics
- Time Series and Forecasting
- Panel Data Analysis
- Microeconometric Modeling
- Macroeconometric Modeling
- Financial Econometrics
- Spatial Econometrics
- Causal Inference
- Bayesian Econometrics
- Big Data Econometrics
- Nonparametric Econometrics
Statistics and Data Science
- Statistical Theory
- Multivariate Statistics
- Computational Statistics
- Data Mining
- Predictive Analytics
- Statistical Learning
- Big Data Analytics
- Applied Statistics
- Structural Equation Modeling
Operations Research and Optimization
- Mathematical Optimization
- Linear and Nonlinear Programming
- Integer Programming
- Stochastic Optimization
- Decision Analysis
- Game Theory
- Simulation and Modeling
- Logistics and Supply Chain Optimization
- Risk Management
Artificial Intelligence and Analytics
- Artificial Intelligence Applications
- Machine Learning
- Deep Learning
- Explainable Artificial Intelligence
- Intelligent Decision Systems
- Predictive Modeling
Sustainability and Green Transformation
- Environmental Economics
- Green Transformation Modeling
- Energy Economics
- Climate Policy Analysis
- ESG Analytics
- Circular Economy
Interdisciplinary Applications
- Digital Economy
- Smart City Analytics
- Health Economics
- Behavioral Analytics
- Public Policy Evaluation