About the CoMSES Model Library more info
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.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
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Peer reviewed CHIME ABM Hurricane Evacuation Model
Joshua Watts | Published Friday, March 03, 2017 | Last modified Wednesday, May 29, 2019The CHIME ABM explores information distribution networks and agents’ protective decision making in the context of hurricane landfall.
Nice Musical Chairs
Andreas Angourakis | Published Friday, February 05, 2016 | Last modified Friday, November 17, 2017The Nice Musical Chairs (NMC) model represent the competition for space between groups of stakeholders of farming and herding activities in the arid Afro-Eurasia.
Citation Agents: A model of collective learning through scientific publication
Christopher Watts | Published Friday, July 31, 2015Simulates the construction of scientific journal publications, including authors, references, contents and peer review. Also simulates collective learning on a fitness landscape. Described in: Watts, Christopher & Nigel Gilbert (forthcoming) “Does cumulative advantage affect collective learning in science? An agent-based simulation”, Scientometrics.
Exploring organizational learning in innovation networks. An agent-based model
Sandra Schmid | Published Saturday, March 07, 2015This agent-based model represents a stylized inter-organizational innovation network where firms collaborate with each other in order to generate novel organizational knowledge.
CA-MRSA Demonstration Model
Jonathan Ozik Charles Macal Kenneth Letendre Irene Lee | Published Tuesday, January 06, 2015We demonstrate how a simple model of community associated Methicillin-resistant Staphylococcus aureus (CA-MRSA) can be easily constructed by leveraging the statecharts and ReLogo capabilities in Repast Simphony.
Social model of a Team Developing a Planning-Methodology
Oswaldo Terán Christophe Sibertin | Published Monday, November 18, 2013 | Last modified Sunday, November 16, 2014The model represents a team intended at designing a methodology for Institutional Planning. Included in ICAART’14 to exemplify how emotions can be identified in SocLab; and in ESSA’14 to show the Efficiency of Organizational Withdrawal vs Commitment.
Best Practices for Civic Collaboration
Wei Zhong | Published Saturday, December 20, 2008 | Last modified Saturday, April 27, 2013This is a modified version (Netlogo 4.0.3) of the model in support of Erik Johnstons dissertation, programmed in Netlogo 3.1.4 (May 15th, 2007).
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