About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
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 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 additional 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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Impact of Seasonal Forecast Use on Agricultural Income in a System with Varying Crop Costs and Returns
Thushara Gunda Josh T Bazuin John Nay Kam L Yeung | Published Tuesday, February 07, 2017The objective of the model is to evaluate the impact of seasonal forecasts on a farmer’s net agricultural income when their crop choices have different and variable costs and returns.
Bicycle encounter model
Gudrun Wallentin | Published Saturday, October 29, 2016 | Last modified Friday, March 29, 2019This Bicycle encounter model builds on the Salzburg Bicycle model (Wallentin & Loidl, 2015). It simulates cyclist flows and encounters, which are locations of potential accidents between cyclists.
Peer reviewed Horse population dynamics
Nika Galic | Published Tuesday, November 12, 2013 | Last modified Wednesday, October 29, 2014This model investigates the link between prescribed growth in body size, population dynamics and density dependence through population feedback on available resources.
The Pampas Model: An agent-based model of agricultural systems in the Argentinean Pampas
Michael North Federico Bert Guillermo P Podestá Santiago L Rovere Charles Macal | Published Tuesday, July 16, 2013 | Last modified Tuesday, February 17, 2015The Pampas Model is an Agent-Based Model intended to explore the dynamics of structural and land use changes in agricultural systems of the Argentine Pampas in response to climatic, technological economic, and political drivers.
An agent-based model for assessing strategies of adaptation to climate and tourism demand changes in an alpine destination
Stefano Balbi Marco Alberti | Published Monday, February 14, 2011 | Last modified Saturday, April 27, 2013The model is then used for assessing three hypothetical and contrasted infrastructure-oriented adaptation strategies for the winter tourism industry, that have been previously discussed with local stakeholders, as possible alternatives to the “business-as-usual” situation.
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