EURACE Winter School and Workshop   
Agent-based Modelling and Technologies for Economic Policy Design 
Genoa – Italy , 18-21 November 2009 

The EURACE Workshop and Winter School lectures are focused on the design of a fully-fledged agent-based computational model and on its use for macroeconomic policy design and analysis. A successful macroeconomic policy design requires the coordinated application of economic policy measures, e.g. fiscal and monetary strategies, knowledge exchange, R&D incentives etc. Dynamic stochastic general equilibrium (DSGE) simulations can make sophisticated extrapolations of past economic data, but do not capture the disaggregated out-of-equilibrium behaviour of the economic agents (households, firms, banks and governments) and the interactions between the real and the financial sectors, that led to the current economic crisis. Agent-based modelling techniques, which represent each individual or company by means of an ‘agent’, can account for economic phenomena in a more realistic and complete way than DSGE simulations. 
The EURACE Workshop and Winter School aims to disseminate the scientific knowledge and the technological tools that were developed in the EU granted EURACE project (www.eurace.org) in order to develop a very large, policy-design oriented agent-based model of the European economy. The scientific focus is on modelling the emergence of global features as self-organized processes resulting from the interactions among many heterogeneous individuals. The technological focus consists of an introduction to the use of the powerful software framework developed in the EURACE project. This framework will enable the participants to set-up macro-economic agent-based models and to use them to perform economic simulations. Finally, the EURACE Workshop and Winter School will demonstrate how to use this powerful and innovative approach to investigate case studies related to European economy policy issues.

More information and program of the Winter School and Workshop

Winner of the Accommodation Grants

Winner of the Policy Design Competition