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.
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An Agent-based model of the economy with consumer credit
Paola D'Orazio Gianfranco Giulioni | Published Friday, April 15, 2016 | Last modified Thursday, March 07, 2019The model was built to study the links between consumer credit, wealth distribution and aggregate demand in a complex macroeconomics system.
Micro-level Adaptation, Macro-level Selection, and the Dynamics of Market Partitioning
César García-Díaz | Published Monday, October 19, 2015 | Last modified Monday, October 19, 2015This model simulates the emergence of a dual market structure from firm-level interaction. Firms are profit-seeking, and demand is represented by a unimodal distribution of consumers along a set of taste positions.
MERCURY: an ABM of tableware trade in the Roman East
Tom Brughmans Jeroen Poblome | Published Thursday, September 25, 2014 | Last modified Friday, May 01, 2015MERCURY aims to represent and explore two descriptive models of the functioning of the Roman trade system that aim to explain the observed strong differences in the wideness of distributions of Roman tableware.
Endogenous Dynamics of Housing Market Cycles
Onur Özgün Birnur Özbaş Yaman Barlas | Published Monday, September 09, 2013 | Last modified Wednesday, January 08, 2014The purpose of this model is to analyze the dynamics of endogenously created oscillations in housing prices using a system dynamics simulation model, built from the perspective of construction companies.
The various technologies used inside a Dutch greenhouse interact in combination with an external climate, resulting in an emergent internal climate, which contributes to the final productivity of the greenhouse. This model examines how differing technology development styles affects the overall ability of a community of growers to approach the theoretical maximum yield.
Coupled Housing and Land Markets (CHALMS)
Nicholas Magliocca Virginia Mcconnell Margaret Walls | Published Friday, November 02, 2012 | Last modified Monday, October 27, 2014CHALMS simulates housing and land market interactions between housing consumers, developers, and farmers in a growing ex-urban area.
Enhancing recycling of construction materials; an agent based model with empirically based decision parameters
Igor Nikolic Claudia Binder Christof Knoeri Hans-Joerg Althaus | Published Sunday, October 21, 2012 | Last modified Monday, June 09, 2014This model allows for analyzing the most efficient levers for enhancing the use of recycled construction materials, and the role of empirically based decision parameters.
WaterScape
Erin Bohensky | Published Monday, February 06, 2012 | Last modified Saturday, April 27, 2013The 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.
9 Maturity levels in Empirical Validation - An innovation diffusion example
Martin Rixin | Published Wednesday, October 19, 2011 | Last modified Saturday, April 27, 2013Several taxonomies for empirical validation have been published. Our model integrates different methods to calibrate an innovation diffusion model, ranging from simple randomized input validation to complex calibration with the use of microdata.
ADAM: Agent-based Demand and Assignment Model
D Levinson | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013The core algorithm is an agent-based model, which simulates travel patterns on a network based on microscopic decision-making by each traveler.
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