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 INOvPOP
Aniruddha Belsare | Published Wed Jun 1 13:18:26 2022INOvPOP is designed to simulate population dynamics (abundance, sex-age composition and distribution in the landscape) of white-tailed deer (Odocoileus virginianus) for selected Indiana counties.
Cooling in simulated annealing using Metropolis' algorithm (version a & b)
José Ignacio Santos Martín María Pereda Virginia Ahedo García José Manuel Galán Ordax | Published Mon Mar 15 15:29:00 2021Netlogo model that shows how the cooling process determines the quality of a solution in simulated annealing using Metropolis algorithm.
MedLanD Modeling Laboratory
C Michael Barton Isaac Ullah Gary Mayer Sean Bergin Hessam Sarjoughian Helena Mitasova | Published Fri May 8 16:36:35 2015 | Last modified Thu Dec 14 15:48:43 2017The MML is a hybrid modeling environment that couples an agent-based model of small-holder agropastoral households and a cellular landscape evolution model that simulates changes in erosion/deposition, soils, and vegetation.
Peer reviewed MIOvCWD
Aniruddha Belsare | Published Fri Dec 13 20:24:03 2019MIOvCWD is a spatially-explicit, agent-based model designed to simulate the spread of chronic wasting disease (CWD) in Michigan’s white-tailed deer populations. CWD is an emerging prion disease of North American cervids (white-tailed deer Odocoileus virginianus, mule deer Odocoileus hemionus, and elk Cervus elaphus) that is being actively managed by wildlife agencies in most states and provinces in North America, including Michigan. MIOvCWD incorporates features like deer population structure, social organization and behavior that are particularly useful to simulate CWD dynamics in regional deer populations.
Peer reviewed MOOvPOP
Aniruddha Belsare Matthew Gompper Joshua J Millspaugh | Published Mon Apr 10 20:03:42 2017 | Last modified Tue May 12 06:14:14 2020MOOvPOP 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.
Peer reviewed MIOvPOPsurveillance
Aniruddha Belsare | Published Mon Apr 13 20:51:19 2020MIOvPOPsurveillance is set up to simulate harvest-based chronic wasting disease (CWD) surveillance of white-tailed deer (Odocoileus virginianus) populations in select Michigan Counties. New regions can be readily added, also the model can be readily adapted for other disease systems and used for informed-decision making during planning and implementation stages of disease surveillance in wildlife and free-ranging species.
Coupled Housing and Land Markets (CHALMS)
Nicholas Magliocca Virginia Mcconnell Margaret Walls | Published Fri Nov 2 20:20:30 2012 | Last modified Mon Oct 27 16:23:37 2014CHALMS simulates housing and land market interactions between housing consumers, developers, and farmers in a growing ex-urban area.