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.
Peer reviewed Simulating the Economic Impact of Boko Haram on a Cameroonian Floodplain
Nathaniel Henry Sarah Laborde Mark Moritz | Published Sat Oct 22 22:43:34 2016 | Last modified Wed Jun 7 16:30:07 2017This 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
Abigail Buffington Andrew Yoak Ian M Hamilton Rebecca Garabed Mark Moritz | Published Mon Aug 15 19:41:24 2016 | Last modified Sat Jan 6 15:27:40 2018The 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 implements a model that reflects features of a rural hill village in Nepal. Key features of the model include water storage, social capital and migration of household members who then send remittances back to the village.
Village Ecodynamics Project
ipem | Published Fri May 13 18:51:37 2011 | Last modified Sat Apr 27 20:18:53 2013The Village Project is designed to help archaeologists understand the factors influencing settlement patterns of small-scale agrarian peoples. Although such societies are becoming increasingly rare, they represent the norm throughout most of the Neolithic period the world over.
ForagerNet3_Demography: A Non-Spatial Model of Hunter-Gatherer Demography
Andrew White | Published Thu Oct 17 18:53:03 2013 | Last modified Thu Oct 17 19:13:37 2013ForagerNet3_Demography is a non-spatial ABM for exploring hunter-gatherer demography. Key methods represent birth, death, and marriage. The dependency ratio is an imporant variable in many economic decisions embedded in the methods.
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 2014An empirical ABM of smallholder decisions in times of drought stress.
Parental choices, children's skills, and skill inequality: An agent-based model implemented in Python
Andrés Cardona | Published Thu Oct 30 14:25:11 2014The model explores the emergence of inequality in cognitive and socio-emotional skills at the societal level within and across generations that results from differences in parental investment behavior during childhood and adolescence.
We propose here a computational model of school segregation that is aligned with a corresponding Schelling-type model of residential segregation. To adapt the model for application to school segregation, we move beyond previous work by combining two preference arguments in modeling parents’ school choice, preferences for the ethnic composition of a school and preferences for minimizing the travelling distance to the school.
Social and ecological feedback in greening behavior
Athena Aktipis | Published Thu Feb 19 21:23:03 2015We construct an agent-based model to investigate and understand the roles of green attachment, engagement in local ecological investment (i.e., greening), and social feedback.
ForagerNet3_Demography_V2
Andrew White | Published Thu Feb 13 16:06:26 2014ForagerNet3_Demography_V2 is a non-spatial ABM for exploring hunter-gatherer demography. This version (developed from FN3D_V1) contains code for calculating the ratio of old to young adults (the “OY ratio”) in the living and dead populations.