Broad Themes (but not limited to)

I. Artificial Intelligence (AI) and Machine Learning (ML) Applications in Economic Analysis

Predictive Modeling
Automation of Economic Forecasting
Policy Simulation

II. Big Data Analysis

Analyze Consumer Behavior
Monitor Economic Indicators in Real-Time
Enhance Risk Management

III. Blockchain Technology

Secure and Transparent Transactions
Smart Contracts
Supply Chain Management

IV. Fintech Innovations

Financial Inclusion
Enhanced Payment Systems
Data-Driven Financial Services

Tracks & Sub Themes (but not limited to)

1. Estimating the Natural Rate of Interest

Advanced Econometric Techniques
Real-Time Data Analysis
Historical and Comparative Studies
Policy Implications
Dynamic Stochastic General Equilibrium (DSGE) Models
Macro-Financial Linkages

2. Development of the Near-Term Forecast of Inflation: Application of FAVAR and BVAR Models

Model Integration
Data Sources
Real-Time Forecasting
Model Validation
Policy Decision-Making
Economic Stability

3. Forecasting Banking System Liquidity Using Payment System Data

Data Analytics
Machine Learning Models
Integration with Fintech
Risk Management
Central Bank Operations
Banking Sector Stability

4. Building Comprehensive Macroeconomic Forecasting Model

Model Frameworks
Data Integration
Scenario Analysis
Predictive Accuracy
Economic Policy Formulation
Risk Assessment
Business Strategy

5. Applications in Engineering Economy

Advanced Econometric Techniques
Project-Specific Data Analysis
Historical Comparisons
Implications for Project Financing
Investment Decision Making
Project Feasibility Studies
Cost-Benefit Analysis

6. Rational Expectations

Rational Expectations and AI/ML Integration
Big Data and Expectation Formation
Behavioral Economics and Rational Expectations