Agent-based modelling for social research


The main aims of this course are to familiarise the participants with the most recent advances in building, analysing and documenting agent-based models of social processes. During the course, we will cover aspects related to the choice of modelling language and environment, tailoring models for specific research purposes, statistical analysis of model results and key principles of experimental design, inclusion of realistic cognitive assumptions in models, and documenting the modelling endeavours by using a variety of approaches. The course is aimed particularly at PhD level students and early career researchers, with some prior experience with coding and interest in computational modelling in social science.

This page provides an overview of the three blocks which make up the course - use the Main content links to access the videos for each block

Agent-based modelling for social research- Block 1

Block 1 contains five videos which introduce Modelling, Agent-Based Modelling and the Treatment of Time in ABM.

Agent-based modelling for social research- Block 2

Block 2 contains three videos covering Data Quality Assessment, Model Analysis UQ and Psychological Experiments.

Agent-based modelling for social research- Block 3

Block 3 contains two videos covering Documentatino of Agent-Based Models and Provenance for Simulation Studies.

The course was organised as a part of the research project Bayesian Agent-Based Population Studies, funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 725232), and executed by the University of Southampton, UK, and the University of Rostock, Germany.