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

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.

Coordinator and key teaching staff
Coordinator: Maria Enrica Virgillito
Key teaching staff: Giovanni Dosi, Giorgio Fagiolo, Alessio Moneta, Francesco Lamperti, Andrea Roventini, Marcelo Pereira, Lilit Popoyan

SDGs (https://sdgs.un.org/goals)
8, 10, 13