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Behave Summer Schools2020-10-29T17:34:47+00:00

BEHAVE Online Spring School 2021 on “Agent-Based Modelling for Social Scientists” 19-23 April 2o21

Organised by the Behave Lab,  this school aims to introduce students to Agent-Based Models (ABM) in NetLogo by using modelling examples from social science research.

The training will be online and include lectures + hands-on training with personalised student assistance. The lecturers will help students to code an ABM  from scratch in NetLogo helping students to learn advanced functionalities. No previous coding skills are required. The faculty will provide assistance and customized counselling on personal research projects during the course and provide room for project presentations.

Students will be connected via ZOOM and will use their own laptop/pc with preinstalled the latest version of NetLogo.

The faculty includes:

Federico Bianchi (University of Milan, Italy)

Simone Gabbriellini (University of Trento, Italy)

Nicolas Payette (University of Oxford, UK)

Flaminio Squazzoni (University of Milan, Italy, School director)

How to excel doing ABM research (Flaminio Squazzoni, University of Milan). This lecture provides tips and tricks from the viewpoint of the editor of JASSS-The Journal of Artificial Societies and Social Simulation, the flagship journal in the ABM field.How to excel doing ABM research (Flaminio Squazzoni, University of Milan). This lecture provides tips and tricks from the viewpoint of the editor of JASSS-The Journal of Artificial Societies and Social Simulation, the flagship journal in the ABM field.

ESSA-BEHAVE Summer School 2021 Preliminary programme (CET Time)
Monday, 19 April 2021 Tuesday, 20 April 2021 Wednesday, 21 April 2021 Thursday, 22 April 2021 Friday, 23 April 2021
09:30AM-10:AM Welcome
10AM-11:00AM The Theory and Methodology of Agent-Based Modelling (Flaminio Squazzoni). This lecture provides an introduction to the application of agent-based modelling in the social sciences. Introduction to NetLogo (Nicolas Payette). This lecture introduces students to NetLogo Axelrod’s (1997) model on the dissemination of culture in NetLogo (Simone Gabbriellini). This lecture uses a canonical model to train students on agent-based modelling in NetLogo Axelrod’s (1997) model on the dissemination of culture in NetLogo (Simone Gabbriellini, University of Trento). This lecture uses a canonical model to train students on agent-based modelling in NetLogo Student presentations. This slot will allow students to present their projects and receive feedback by the faculty and the class
11.15-12:15PM The Theory and Methodology of Agent-Based Modelling (Flaminio Squazzoni). This lecture provides an introduction to the application of agent-based modelling in the social sciences. Introduction to NetLogo (Nicolas Payette). This lecture introduces students to NetLogo Axelrod’s (1997) model on the dissemination of culture in NetLogo (Simone Gabbriellini). This lecture uses a canonical model to train students on agent-based modelling in NetLogo Axelrod’s (1997) model on the dissemination of culture in NetLogo (Simone Gabbriellini, University of Trento). This lecture uses a canonical model to train students on agent-based modelling in NetLogo Student presentations. This slot will allow students to present their projects and receive feedback by the faculty and the class
2-3PM The state-of-the-art of agent-based modelling (Federico Bianchi). This lecture provides an overview of ABM research in the social sciences NetLogo focus: exercises (Nicolas Payette, University of Oxford). This lecture introduces students to NetLogo Axelrod’s (1997) model on the dissemination of culture in NetLogo (Simone Gabbriellini). This lecture uses a canonical model to train students on agent-based modelling in NetLogo Axelrod’s (1997) model on the dissemination of culture in NetLogo (Simone Gabbriellini, University of Trento). This lecture uses a canonical model to train students on agent-based modelling in NetLogo How to excel doing ABM research (Flaminio Squazzoni, University of Milan). This lecture provides tips and tricks from the viewpoint of the editor of JASSS-The Journal of Artificial Societies and Social Simulation, the flagship journal in the ABM field.
3:15-4PM From theory to coding (Simone Gabbriellini, University of Trento). This lecture introduces students to ABM thinking and modelling philosophy. The focus is on how to move from a variable-based to an agent-based modelling approach NetLogo focus: exercises (Nicolas Payette, University of Oxford). This lecture introduces students to NetLogo Axelrod’s (1997) model on the dissemination of culture in NetLogo (Simone Gabbriellini). This lecture uses a canonical model to train students on agent-based modelling in NetLogo .Axelrod’s (1997) model on the dissemination of culture in NetLogo (Simone Gabbriellini, University of Trento). This lecture uses a canonical model to train students on agent-based modelling in NetLogo How to excel doing ABM research (Flaminio Squazzoni, University of Milan). This lecture provides tips and tricks from the viewpoint of the editor of JASSS-The Journal of Artificial Societies and Social Simulation, the flagship journal in the ABM field.
4.15-5PM Counselling. The faculty will help students to define and develop their model by concentrating either on ABM research questions/simulation design strategies or specific modelling details Counselling. The faculty will help students to define and develop their model by concentrating either on ABM research questions/simulation design strategies or specific modelling details Counselling. The faculty will help students to define and develop their model by concentrating either on ABM research questions/simulation design strategies or specific modelling details. Counselling. The faculty will help students to define and develop their model by concentrating either on ABM research questions/simulation design strategies or specific modelling details. Counselling. The faculty will help students to define and develop their model by concentrating either on ABM research questions/simulation design strategies or specific modelling details.

Registration fees

Fees include: lectures, counseling, materials and online infrastructure.

Fees Categories

1 Student fees (i.e., Bachelor, Master or PhD students): 400 euros

2 Non-student, academics (i.e., post-docs, assistant, associate, full professors): 500 euros

3 Non academic, professionals: 600 euros.

To apply to the school, please send your CV and a letter of presentation describing (a) your motivation, (b) any prior relevant expertise (e.g., ABM, R or any programming language) and (c) the research project/objectives you are interested to develop during the school to info@behavelab.org by 31 January 2021. Approval will be notified by 20 February 2021, after which registrations will open.

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