About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models 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 publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 10 of 51 results income clear
Sorghum supply development in Meru County, Kenya
Tim Verwaart Coen Van Wagenberg | Published Wednesday, September 06, 2017 | Last modified Thursday, May 30, 2019Trust between farmers and processors is a key factor in developing stable supply chains including “bottom of the pyramid”, small-scale farmers. This simulation studies a case with 10000 farmers.
Stylized agricultural land-use model for resilience exploration
Patrick Bitterman | Published Tuesday, June 14, 2016 | Last modified Monday, April 08, 2019This model is a highly stylized land use model in the Clear Creek Watershed in Eastern Iowa, designed to illustrate the construction of stability landscapes within resilience theory.
Agent Based model exploring relationship between ethnic density and health.
Frensis Bras | Published Tuesday, January 15, 2019The model explores the relationship between ethnic density and health. It does this through exploring the potential pathway between racism, segregation, area deprivation and income.
A Model to Unravel the Complexity of Rural Food Security
Samantha Dobbie Stefano Balbi | Published Monday, August 22, 2016 | Last modified Sunday, December 02, 2018An ABM to simulate the behaviour of households within a village and observe the emerging properties of the system in terms of food security. The model quantifies food availability, access, utilisation and stability.
Peer reviewed Agent-based Renewables model for Integrated Sustainable Energy (ARISE)
Muhammad Indra Al Irsyad Anthony Halog Rabindra Nepal | Published Wednesday, November 29, 2017 | Last modified Friday, October 05, 2018ARISE is a hybrid energy model incorporating macroeconomic data, micro socio-economic data, engineering data and environmental data. This version of ARISE can simulate scenarios of solar energy policy for Indonesia case.
Last Mile Commuter Behavior Model
Moira Zellner Dean Massey Yoram Shiftan Jonathan Levine Maria Arquero | Published Friday, November 07, 2014 | Last modified Friday, November 07, 2014We represent commuters and their preferences for transportation cost, time and safety. Agents assess their options via their preferences, their environment, and the modes available. The model has policy levers to test impact on last-mile problem.
MixFarm ABM Model
Leigh Anderson | Published Thursday, March 03, 2016MixFarmABM Model examines the competitiveness of second-generation biofuel crops with existing crops and beef cows at the farm level and their impact on the farm structure.
Income Model
Tony Lawson | Published Monday, August 26, 2013This is the code for the model described in an article in the International Journal of Microsimulation. Lawson (2013) ‘Modelling Household Spending Using a Random Assignment Scheme’, International Journal of Microsimulation, 6(2) Autumn 2013, 56-75.
A Multi-Agent Simulation Approach to Farmland Auction Markets
James Nolan | Published Wednesday, June 22, 2011 | Last modified Saturday, April 27, 2013This model explores the effects of agent interaction, information feedback, and adaptive learning in repeated auctions for farmland. It gathers information for three types of sealed-bid auctions, and one English auction and compares the auctions on the basis of several measures, including efficiency, price information revelation, and ability to handle repeated bidding and agent learning.
Exploring Creativity and Urban Development with Agent-Based Modeling
Ammar Malik Andrew Crooks Hilton Root Melanie Swartz | Published Thursday, October 30, 2014An agent-based model which explores Creativity and Urban Development
Displaying 10 of 51 results income clear