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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Foundress dilemma model
Marco Janssen Takao Sasaki Zachary Joseph Shaffer Stephen Pratt Brian Haney Jennifer Fewell | Published Thursday, July 28, 2016A haystack-style model of group selection to capture the essential features of colony foundation for queens of the ant based on observation of the ant Pogonomyrmex californicus.
CITMOD A Tax-Benefit Modeling System for the average citizen
Philip Truscott | Published Monday, August 15, 2011 | Last modified Saturday, April 27, 2013Must tax-benefit policy making be limited to the ‘experts’?
One of four extensions to the standard Adder model that replicates a common type of transition experiment.
This is one of four extensions to the standard Adder model that replicate the various interventions typical of transition experiments.
One of four extensions to the standard Adder model that replicates the various interventions typically associated with transition experiments.
The fourth and final extension to the standard Adder model to replicate the various interventions typically associated with Transition Experiments.
Urban Dynamics
Hideyuki Nagai | Published Monday, November 11, 2019This is an urban dynamics ABM of abstraction of a city and residents’ activities there.
It allows you to evaluate the effects of urban policies, such as an introduction of an open facility for residents with pedestrian-friendly accommodations, promotion of bicycle use, and control of private automobile use in an urban central area, in controlling urban sprawl.
Activation Regimes in Opinion Dynamics
Meysam Alizadeh Claudio Cioffi-Revilla | Published Tuesday, September 01, 2015We compare the effect of four activation regimes by measuring the appropriate opinion clustering statistics and also the number of emergent extremists.
Agent-based model of WiFi tracking system in urban environment
Christopher Thron Khoi Tran | Published Friday, April 21, 2017This code simulates the WiFi user tracking system described in: Thron et al., “Design and Simulation of Sensor Networks for Tracking Wifi Users in Outdoor Urban Environments”. Testbenches used to create the figures in the paper are included.
Peer reviewed MigrAgent
Wander Jager Rocco Paolillo | Published Friday, October 05, 2018 | Last modified Wednesday, November 28, 2018MigrAgent simulates migration flows of a population from a home country to a host country and mutual adaptation of a migrant and local population post-migration. Agents accept interactions in intercultural networks depending on their degree of conservatism. Conservatism is a group-level parameter normally distributed within each ethnic group. Individual conservatism changes as function of reciprocity of interaction in intergroup experiences of acceptance or rejection.
The aim of MigrAgent is to unfold different outcomes of integration, assimilation, separation and marginalization in terms of networks as effect of different degrees of conservatism in each group and speed of migration flows.
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