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 3 of 13 results animals clear search

AnimDens NetLogo

Miguel Pais Christine Ward-Paige | Published Friday, February 10, 2017 | Last modified Sunday, February 23, 2020

The model demonstrates how non-instantaneous sampling techniques produce bias by overestimating the number of counted animals, when they move relative to the person counting them.

Peer reviewed Family Herd Demography

Mark Moritz Ian M Hamilton Andrew Yoak Rebecca Garabed Abigail Buffington | Published Monday, August 15, 2016 | Last modified Saturday, January 06, 2018

The model examines the dynamics of herd growth in African pastoral systems. We used it to examine the role of scale (herd size) stochasticity (in mortality, fertility, and offtake) on herd growth.

The model explores how two types of information - social (in the form of pheromone trails) and private (in the form of route memories) affect ant colony level foraging in a variable enviroment.

Displaying 3 of 13 results animals clear search

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