ABMinECO - Agent-based models in Economics: theory, toolkit and policy laboratories 25-26

V EDITION | ON SITE | APPLICATION

Deadline for Registration

May 24th, 2026

Period

July 6th-10th, 2026

Learning objectives
The Seasonal School is intended to achieve the following objectives:
• Learning of agent-based modelling techniques (ABMs) as a tool of analysis and interpretation of economic and social processes.
• Development and design of agent-based models through software laboratories (Laboratory for Simulation Development platform, LSD).
• Introduction to statistical and econometric techniques for the analysis of macroevolutionary agent-based models (R software).
Competencies provided include:
• Theories and applications of agent-based models in micro and macroeconomics uncovering diverse thematic areas such as technical progress, business cycles, labour markets, economic growth, climate change.
• Empirical validation and analysis of models' parametric space.
• Scenarios-based analysis and policy experiments.

Teaching methodologies
Frontal lectures, keynote lectures, laboratories, students working groups.

Target participants
Master and PhD students in economics, statistics, physics, social sciences.

SDGs (https://sdgs.un.org/goals)