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 75 results risk clear search
Bicycle encounter model
Gudrun Wallentin | Published Saturday, October 29, 2016 | Last modified Friday, March 29, 2019This Bicycle encounter model builds on the Salzburg Bicycle model (Wallentin & Loidl, 2015). It simulates cyclist flows and encounters, which are locations of potential accidents between cyclists.
Eliminating hepatitis C virus as a public health threat among HIV-positive men who have sex with men
Nick Scott Mark Stoove David P Wilson Olivia Keiser Carol El-Hayek Joseph Doyle Margaret Hellard | Published Wednesday, October 12, 2016 | Last modified Sunday, December 16, 2018We compare three model estimates for the time and treatment requirements to eliminate HCV among HIV-positive MSM in Victoria, Australia: a compartmental model; an ABM parametrized by surveillance data; and an ABM with a more heterogeneous population.
An Agent-Based Model of Flood Risk and Insurance
J Dubbelboer I Nikolic K Jenkins J Hall | Published Monday, July 27, 2015 | Last modified Monday, October 03, 2016A model to show the effects of flood risk on a housing market; the role of flood protection for risk reduction; the working of the existing public-private flood insurance partnership in the UK, and the proposed scheme ‘Flood Re’.
The Agent-Based Model of the Closed Market( similar to Stock Market) with One Commodity and with careful and risky mechanisms
Mark Voronovitsky | Published Sunday, March 15, 2015 | Last modified Sunday, March 22, 2015The model of market of one commodity , in which there are in each moment of time the same quantity and the same quantity of money was formulated and researched in this text. We also study this system as a game of automata.
This is a social trust model for investigating the social relationships and social networks in the real world and in social media.
Interplay between stakeholders of the management of a river
Christophe Sibertin-Blanc Pascal Roggero Bertrand Baldet | Published Wednesday, November 12, 2014This model describes and analyses the outcomes of the confrontation of interests, some conflicting, some common, about the management of a small river in SW France
IDEAL
Arika Ligmann-Zielinska | Published Thursday, August 07, 2014IDEAL: Agent-Based Model of Residential Land Use Change where the choice of new residential development in based on the Ideal-point decision rule.
Agent-based model of risk behavior in adolescence
N Schuhmacher P Van Geert L Ballato | Published Monday, June 24, 2013 | Last modified Monday, April 08, 2019The computer model simulates the development of a social network (i.e. formation of friendships and cliques), the (dyadic) interactions between pupils and the development of similarities and differences in their behavioral profiles.
RETURN MIGRATION AFTER BRAIN DRAIN: A SIMULATION APPROACH
Alessandro Pluchino Alessio Emanuele Biondo Andrea Rapisarda | Published Friday, June 21, 2013This model, realized on the NetLogo platform, compares utility levels at home and abroad to simulate agents’ migration and their eventual return. Our model is based on two fundamental individual features, i.e. risk aversion and initial expectation, which characterize the dynamics of different agents according to the evolution of their social contacts.
Hegmon's Model of Sharing
Sean Bergin | Published Thursday, May 02, 2013The purpose of Hegmon’s Sharing model is to develop an understanding of the effect sharing strategies have on household survival.
Displaying 10 of 75 results risk clear search