Computational Model Library

Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.

All users of models published in the library must cite model authors when they use and benefit from their code.

Please check out our model publishing tutorial and feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.

Displaying 10 of 54 results for "Adrian Thomas" clear search

Gentrilab

Adrian Lara | Published Monday, December 17, 2018

Development of a Multiagent System for the Analysis of Gentrification in Latin America, an Agent-Based Model

Vacunación-Covid Ecuador

Adrian Lara | Published Tuesday, March 22, 2022

El modelo a continuación, fue desarrollado para el DATA CHALLENGE 2022. Es un análisis de la información descargada del Portal de datos abiertos de Ecuador. Dentro del modelo podemos realizar una breve exploración de la información así como una simulación respecto al proceso de vacunación en Ecuador.

This model, realized on the NetLogo platform, compares utility levels at home and abroad to simulate agents’ migration and their eventual return. Our model is based on two fundamental individual features, i.e. risk aversion and initial expectation, which characterize the dynamics of different agents according to the evolution of their social contacts.

This model simulates economic and epidemiological interaction between citrus production and the disease Huanglongbing (HLB), which is vectored by the Asian citrus psyllid. The model is used to evaluate area-wide coordinated spraying when free-riding is possible given individuals’ beliefs in other grower participation in area-wide spraying and in the information provided by extension on the threat as HLB spread.

WaterScape

Erin Bohensky | Published Monday, February 06, 2012 | Last modified Saturday, April 27, 2013

The WaterScape is an agent-based model of the South African water sector. This version of the model focuses on potential barriers to learning in water management that arise from interactions between human perceptions and social-ecological system conditions.

LaMEStModel

Ruth Meyer | Published Friday, October 12, 2018

The Labour Markets and Ethnic Segmentation (LaMESt) Model is a model of a simplified labour market, where only jobs of the lowest skill level are considered. Immigrants of two different ethnicities (“Latino”, “Asian”) compete with a majority (“White”) and minority (“Black”) native population for these jobs. The model’s purpose is to investigate the effect of ethnically homogeneous social networks on the emergence of ethnic segmentation in such a labour market. It is inspired by Waldinger & Lichter’s study of immigration and the social organisation of labour in 1990’s Los Angeles.

Musical Chairs

Andreas Angourakis | Published Wednesday, February 03, 2016 | Last modified Friday, March 11, 2016

This Agent-Based model intends to explore the conditions for the emergence and change of land use patterns in Central Asian oases and similar contexts.

Charcoal Record Simulation Model (CharRec)

Grant Snitker | Published Monday, November 16, 2015 | Last modified Thursday, September 30, 2021

This model (CharRec) creates simulated charcoal records, based on differing natural and anthropogenic patterns of ignitions, charcoal dispersion, and deposition.

Peer reviewed Party Competition with Costly Voting

Thomas Mustillo | Published Tuesday, July 07, 2026

Party Competition with Costly Voting builds upon the baseline model in Chapter 5 from Laver and Sergenti’s Party Competition (2011); it adds voting costs to generate variable turnout.

Displaying 10 of 54 results for "Adrian Thomas" clear search

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