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 10 of 52 results quality clear search

Peer reviewed Simple Coastal Exploitation in the American Samoa

Chloe Atwater | Published Wednesday, November 05, 2014

This model employs optimal foraging theory principles to generate predictions of which coastal habitats are exploited in climatically stable versus variable environments, using the American Samoa as a study area.

The purpose of this agent-based model is to explore the emergent phenomena associated with scientific publication, including quantity and quality, from different academic types based on their publication strategies.

We explore how dynamic processes related to socioeconomic inequality operate to sort students into, and create stratification among, colleges.

Quality uncertainty and market failure

David Poza José Manuel Galán María Pereda José Santos | Published Wednesday, May 14, 2014 | Last modified Wednesday, April 25, 2018

Quality uncertainty and market failure: an interactive model to conduct classroom experiments

The role of spatial foresight in models of hominin dispersal

Colin Wren | Published Monday, February 24, 2014 | Last modified Monday, July 14, 2014

The natural selection of foresight, an accuracy at assess the environment, under degrees of environmental heterogeneity. The model is designed to connect local scale mobility, from foraging, with the global scale phenomenon of population dispersal.

PR-M: The Peer Review Model

Mario Paolucci Francisco Grimaldo | Published Sunday, November 10, 2013 | Last modified Wednesday, July 01, 2015

This is an agent-based model of peer review built on the following three entities: papers, scientists and conferences. The model has been implemented on a BDI platform (Jason) that allows to perform both parameter and mechanism exploration.

MoPAgrIB model simulates the movement of cultivated patches in a savannah vegetation mosaic ; how they move and relocate through the landscape, depending on farming practices, population growth, social rules and vegetation growth.

This is an agent-based model that captures the dynamic processes related to moving from an educational system where the school a student attends is based on assignment to a neighborhood school, to one that gives households more choice among existing and newly formed public schools.

Peer Review Model

Flaminio Squazzoni Claudio Gandelli | Published Wednesday, September 05, 2012 | Last modified Saturday, April 27, 2013

This model looks at implications of author/referee interaction for quality and efficiency of peer review. It allows to investigate the importance of various reciprocity motives to ensure cooperation. Peer review is modelled as a process based on knowledge asymmetries and subject to evaluation bias. The model includes various simulation scenarios to test different interaction conditions and author and referee behaviour and various indexes that measure quality and efficiency of evaluation […]

Displaying 10 of 52 results quality clear search

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