AI for Policy Modeling | GEM

M&S Research Hub · Executive Workshop · October 2026

AI for Economists & Policy Analysts

Applications in Forecasting, CGE & DSGE Modeling

A practical 4-day executive workshop on applying AI to economic research, forecasting, CGE and DSGE modeling, data analysis and policy workflows.

12 hours 4 days October 2026

View Training Agenda ↗

WORKSHOP FOCUS

01AI for economic research & forecasting

02AI-assisted CGE modeling with GAMS

03AI-assisted DSGE modeling with Dynare & MATLAB

04AI + Python for data analysis & forecasting

ChatGPT · GAMS · Dynare · MATLAB · Python · Jupyter Notebook

The journey

From question to policy intelligence.

This is not an “AI tools” showcase. The module follows a policy research workflow and places AI where it can accelerate reasoning, coding, data work and model development while keeping economic judgment at the center.

Ask

Turn a policy question into a structured research problem and identify the evidence required.

Discover

Use AI to explore literature, datasets, variables, assumptions and alternative model structures.

Build

Accelerate Python, GAMS, Dynare and MATLAB workflows with AI-assisted coding and debugging.

Simulate

Use AI around forecasting, CGE and DSGE workflows to design, test and compare scenarios.

Decide

Turn model outputs into interpretable policy evidence, sensitivity checks and decision narratives.

The AI module

One module. Multiple modeling frontiers.

The module connects AI with the practical tasks that consume time in modern policy modeling — from data and code to forecasts, simulations and interpretation.

AI for economic research

Use AI as a research copilot while maintaining verification, reproducibility and economic judgment.

Researchliterature & evidence discovery

Dataclassification & transformation

Codegeneration & debugging

Communicationpolicy narratives & visualization

AI for policy models

Connect AI assistance with the actual computational environments used by economists.

Pythondata & machine learning workflows

GAMSCGE code assistance

DynareDSGE model workflows

MATLABsimulation & numerical analysis

The future toolkit

AI sits on top of your existing modeling stack.

The objective is not to replace economic models. It is to create a faster interface between the researcher and the tools, data and reasoning already inside the policy workflow.

ChatGPTResearch questions, code, explanations and structured reasoning.

PythonData processing, forecasting, automation and analysis.

GAMSAI-assisted CGE model construction and troubleshooting.

AIPOLICY MODELING LAYER

DynareAI-assisted DSGE workflows, model diagnostics and simulation.

MATLAB / OctaveNumerical modeling and computational experimentation.

Economic JudgmentHuman validation, assumptions, interpretation and policy decisions.

Continue your journey

AI is the layer. CGE and DSGE are the engines.

Connect the AI module to the core modeling pathways: CGE Modules 1–4 and DSGE Modules 5–6, then continue into the complete GEM Executive Diploma.

CGE Modules 1–4 ↗DSGE Modules 5–6 ↗Complete GEM ↗