About the CoMSES Model Library more info

CoMSES Net maintains cyberinfrastructure to foster FAIR data principles for access to and (re)use of computational models. Model authors can publish their model code in the Computational Model Library with documentation, metadata, and data dependencies and support these FAIR data principles as well as best practices for software citation. Model authors can also request that their model code be peer reviewed 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 archive tutorial or contact us if you have any questions or concerns about archiving your model.

CoMSES Net also maintains a curated database of over 7500 publications of agent-based and individual based models with additional metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.

An empirical ABM for regional land use/cover change: a Dutch case study

Diego Valbuena | Published Sat Mar 12 12:58:20 2011 | Last modified Thu Nov 11 09:55:25 2021

This is an empirical model described in http://dx.doi.org/10.1016/j.landurbplan.2010.05.001. The objective of the model is to simulate how the decision-making of farmers/agents with different strategies can affect the landscape structure in a region in the Netherlands.

Rural Industries Supply Chain (RISC) model

Jiaqi Ge Gary Polhill | Published Mon May 13 12:59:21 2019

The code shared here accompanies the paper at https://doi.org/10.1371/journal.pone.0208451. It simulates the effects of various economic trade scenarios on the phenomenon of the ‘disappearing middle’ in the Scottish beef and dairy farming industries. The ‘disappearing middle’ is a situation in which there is a simultaneous observed decline in medium-sized enterprises and rise in the number of small and large-scale enterprises.

BENCHv.2 model

Leila Niamir | Published Sun Apr 28 22:15:40 2019

The BENCH agent-based model is designed and developed to study shifts in residential energy use and corresponding emissions driven by behavioral changes among heterogeneous individuals.

Smallholder Behavioural Decisions During Times of Drought Stress

Samantha Dobbie | Published Sun Sep 15 13:46:42 2013 | Last modified Sat Sep 27 10:35:00 2014

An empirical ABM of smallholder decisions in times of drought stress.

CEDSS3.4

Nicholas Mark Gotts J Gary Polhill | Published Fri Jul 29 16:08:47 2016

CEDSS is an agent-based model of domestic energy demand at the level of a small community.