This course covers the learning outcomes and goals of agent-based modeling, including an introduction to modeling, time in agent-based models, data quality assessment, model analysis, uncertainty quantification, psychological experiments, documentation of agent-based models, and provenance for simulation studies. The course teaches individual skills such as creating agent-based models, assessing data quality, analyzing models, and documenting simulation studies. The teaching method involves lectures and practical exercises. The intended audience for this course includes social researchers and individuals interested in agent-based modeling for research purposes.
Overview
Syllabus
Agent Based Modelling for Social Research- Introduction.
Introduction to Modelling Part 1.
Introduction to Modelling Part 2.
Introduction to ABM.
Time in Agent-based models.
Data Quality Assessment.
Model Analysis and Uncertainty Quantification.
Psychological Experiments.
Documentation of agent-based models.
Provenance for Simulation Studies.
Taught by
NCRMUK
