Agent-based Modelling for the Social Scientist

Date:

10/02/2020 - 12/02/2020

Organised by:

University of Surrey

Presenter:

Dr Corinna Elsenbroich

Level:

Entry (no or almost no prior knowledge)

Contact:

Day Course Administrator
Tel +44(0)1483 689458
Email:daycourses@surrey.ac.uk

Map:

View in Google Maps  (GU4 7XH)

Venue:

Stag Hill

Description:

Simulating social interactions in virtual research labs using agent-based modelling is increasingly allowing researchers to gain new insights into the complex ways that individuals and societies function.

In this course, you will be introduced to foundational theoretical and practical aspects of this approach. The course covers the process of agent-based modelling, from conceptualising a research question, where to obtain data, operationalisation and formalisation of data, model implementation, and model analysis and interpretation. In addition to the theoretical content, you will learn NetLogo as a programming language for agent-based models. On the basis of a detailed model of a social phenomenon (e.g. a market, virus spread) that is developed step-by-step in lab sessions, the major features of programming in NetLogo are learned through practical application. Through this guided implementation you will acquire basic to intermediate programming skills in NetLogo as well as engaging with the step-by-step development of a model.

 

Cost:

• £595- Government/commercial sector
• £495 - Educational/charitable sector
• £395 - Students.

Website and registration:

Region:

South East

Keywords:

Simulation , Agent Based Modelling, Social Simulation, NetLogo

Related publications and presentations:

Simulation

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