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👋 New here? This is one of many YSI projects happening around the world, all year round. All projects are hosted by members of the YSI community. They provide an opportunity to advance your knowledge, and build research collaborations around a pressing economic issue.

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YSI @ Agent-Based Models in Economics Seasonal School 2022 | Sant’Anna

YSI @ ABM School

Start time:

July 11, 2022 - July 14, 2022

EDT

Location:

Scuola Superiore Sant'Anna, Pisa, Pisa, 56127

Type:

Workshop

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Description

The economy is a complex evolving system, thus its analysis requires tools that can take into account all dimensions relevant for such a complex world. As young researchers, we often question ourselves how to take into account heterogeneity, interactions, non-linearities, path-dependency, tipping points to name a few.

In this project, we will learn and discuss together a powerful and growing tool that can address the complexity of the economy: agent-based models. We will investigate what are the frontiers in macro ABM and discuss how this tool can be helpful for answering the key economic questions of our times.

The project is a partnership with the Seasonal School "Agent based models in Economics: theory, toolkit and policy laboratories" offered by the Institute of Economics at the Scuola Superiore Sant'Anna. In addition to engaging in the discussions organized by the YSI side event, selected participants will also attend lectures presenting ABM techniques, develop and design a model through software laboratories and learn how to analyze statistically the data produced by ABMs. The school provides students with both the technical and methodological skills required to successfully develop and analyze simulation models in a research project, allowing them to use these tools in their research as part of their PhD, or a research paper.

More information about the school can be found here. The school is aimed for Master and Ph.D. students enrolled in Economics curricula, while applicants from other disciplines are also welcomed.

Selected participants will be

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