Code

Open-source agent-based models, each with the paper that documents it.

Every model I have published is open source. Most come with a paper that documents the design and the calibration. Everything lives on github.com/BAFurtado.

PolicySpace3

The current platform. Heterogeneous families, firms, local governments and a financial institution interacting across labour, goods, housing, rental and mortgage markets, in spatially detailed Brazilian urban concentration areas (ACPs/CONURBs). Built for prospective analysis: carbon taxes, PlanHab housing scenarios, commuting.

PolicySpace2

A spatial agent-based model of Brazilian metropolitan regions with an explicit real estate market, mortgage credit, firms, labour and municipal taxes. Used to compare tax and housing policy alternatives.

VIDA — domestic violence

A simulation of domestic violence dynamics under social distancing, built to support policy responses to violence against women in Brazil.

eco_cars

A regional model of green car adoption with taxes and subsidies, following van der Vooren and Brouillat (2015), reimplemented in Python.

PolicySpace

The first generation of the model: municipal tax distribution across metropolitan regions.

ML simulates ABM

Machine learning surrogates trained to emulate an agent-based model, so that large parameter sweeps become affordable.

Axtell’s firms on networks

Endogenous dynamics of firms made up of networked agents — an exploratory replication and extension.

A simple spatial model of the economy

Tools for policy: the minimal spatial agent-based economy the later models grew out of.