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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A model on feeding and social interaction behaviour of pigs
Iris J.M.M. Boumans | Published Thursday, May 04, 2017 | Last modified Tuesday, February 27, 2018The model simulates interaction between internal physiological factors (e.g. energy balance) and external social factors (e.g. competition level) underlying feeding and social interaction behaviour of commercially group-housed pigs.
The Opportunistic Acquisition Model of Stone Tool Raw Material Procurement
Marco Janssen Simen Oestmo Haley Cawthra | Published Friday, April 21, 2017 | Last modified Sunday, March 10, 2019The Opportunistic Acquisition Model (OAM) posits that the archaeological lithic raw material frequencies are due to opportunistic encounters with sources while randomly walking in an environment.
Peer reviewed The Effect of Spatial Clustering on Stone Raw Material Procurement
Marco Janssen Simen Oestmo Curtis W Marean | Published Friday, April 21, 2017This model allows for the investigation of the effect spatial clustering of raw material sources has on the outcome of the neutral model of stone raw material procurement by Brantingham (2003).
05 CmLab V1.17 – Conservation of Money Laboratory
Garvin Boyle | Published Saturday, April 15, 2017In CmLab we explore the implications of the phenomenon of Conservation of Money in a modern economy. This is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, CmLab.
04 TpLab V2.08 – Teleological Pruning Laboratory
Garvin Boyle | Published Saturday, April 15, 2017Our societal belief systems are pruned by evolution, informing our unsustainable economies. This is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, CmLab.
03 MppLab V1.09 – Maximum Power Principle Laboratory
Garvin Boyle | Published Saturday, April 15, 2017Using webs of replicas of Atwood’s Machine, we explore implications of the Maximum Power Principle. This is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, CmLab.
01b ModEco NLG V1.39 – Model Economies – The PMM
Garvin Boyle | Published Friday, April 14, 2017It is very difficult to model a sustainable intergenerational biophysical/financial economy. ModEco NLG is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, CmLab.
Perceived Scientific Value and Impact Factor
Davide Secchi Stephen J Cowley | Published Wednesday, April 12, 2017 | Last modified Monday, January 29, 2018The model explores the impact of journal metrics (e.g., the notorious impact factor) on the perception that academics have of an article’s scientific value.
Peer reviewed MOOvPOP
Matthew Gompper Aniruddha Belsare Joshua J Millspaugh | Published Monday, April 10, 2017 | Last modified Saturday, April 19, 2025MOOvPOP is designed to simulate population dynamics (abundance, sex-age composition and distribution in the landscape) of white-tailed deer (Odocoileus virginianus) for a selected sampling region.
A social network model to analyze team assembly mechanisms
Andreas Koch | Published Monday, April 10, 2017This model simulates networking mechanisms of an empirical social network. It correlates event determinants with place-based geography and social capital production.
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