Bayesian Agent-Based Population Studies

Model code

Code for the initial version of the model (Routes and Rumours, with a graph-based topology), described in detail in the Hinsch and Bijak (2019) ALife conference paper: current version of the Julia source code, and a static release of the code corresponding to the version presented in the paper.

The current documentation of the model is available from the link below

Routes and Rumours Model documentation

Data sources and assessment

Over the course of the project, we have assembled an inventory of metadata regarding various quantitative and qualitative sources of information for use in agent-based migration modelling of a migration test case (Syrian asylum migration to Europe), together with an assessment of their reliability and usefulness for modelling. The searchable online version of the inventory is accompanied by a background paper on assessing the sources of data and knowledge for modelling asylum migration, which available below together with a static version of the inventory, current as of November 2019, retained for completeness.

Background paper Data and knowledge

Metadata inventory

Open Data (Zenodo):

Meta-inventory:

Cognitive experiments

Protocols and documentation related to cognitive experiments aimed to learn about decision-making processes and the associated biases in the context of migration decisions

Background paper Decision making

Open Data (OSF):

Experiment 1 (migration utility functions) DOI 10.17605/OSF.IO/VX4D9

Experiment 2 (how safe is this trip) DOI 10.17605/OSF.IO/WS63F

Experiment 3 (conjoint analysis of drivers) DOI 10.17605/OSF.IO/AYJCQ

Experiment 4 (immersive decision making) DOI 10.17605/OSF.IO/PN9EW

Mechanisms and design

Description of identified mechanisms generating migration patterns and of the implied design of the agent-based simulation model and simulation experiments

Background paper Modelling migration routes

Computational aspects

Formalisms for a bespoke, domain-specific modelling language, integrating agent-based models, the principles of experimental design and model choice, and computer code for the model and its analysis, and documentation of the modelling process by using the provenance approach.

Background paper Computational methods

Open Data (Zenodo):

ML3 v0.2.6 source code