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.

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Peer reviewed Simulating the Economic Impact of Boko Haram on a Cameroonian Floodplain

Mark Moritz Nathaniel Henry Sarah Laborde | Published Saturday, October 22, 2016 | Last modified Wednesday, June 07, 2017

This model examines the potential impact of market collapse on the economy and demography of fishing households in the Logone Floodplain, Cameroon.

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.

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

CITMOD A Tax-Benefit Modeling System for the average citizen

Philip Truscott | Published Monday, August 15, 2011 | Last modified Saturday, April 27, 2013

Must tax-benefit policy making be limited to the ‘experts’?

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