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

GRUPPO DI RAGAZZI

 

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.

Applications from abroad are warmly encouraged.

Young Scholars Initiative will partially cover the travel expenses of selected students. Students that are interested in a travel stipend should register to YSI and then apply at the following link (notice that being logged in with a YSI account is needed to see the application form): https://ysi.ineteconomics.org/view-single-project/?wmd_entry=34776

Please note that we will share your application information with YSI for the selection of travel grants. By sending your application, you agree to these conditions.


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

  • (8) Decent Work and Economic Growth
  • (10) Reduced inequalities
  • (13) Climate action