Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.
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A Modelling4All/NetLogo model of the Spanish Flu Pandemic
Ken Kahn | Published Monday, August 05, 2013 | Last modified Monday, August 05, 2013A global model of the 1918-19 Influenza Pandemic. It can be run to match history or explore counterfactual questions about the influence of World War I on the dynamics of the epidemic. Explores two theories of the location of the initial infection.
Mobility USA (MUSA)
Davide Natalini Giangiacomo Bravo | Published Sunday, December 08, 2013 | Last modified Monday, December 30, 2013MUSA is an ABM that simulates the commuting sector in USA. A multilevel validation was implemented. Social network with a social-circle structure included. Two types of policies have been tested: market-based and preference-change.
Peer reviewed Strategy with Externalities
J M Applegate Glenn Hoetker | Published Thursday, December 21, 2017The SWE models firms search behaviour as the performance landscape shifts. The shift represents society’s pricing of negative externalities, and the performance landscape is an NK structure. The model is written in NetLogo.
Peer reviewed Empathy & Power
J M Applegate Ned Wellman | Published Monday, November 13, 2017 | Last modified Thursday, December 21, 2017The purpose of this model is to explore the effects of different power structures on a cross-functional team’s prosocial decision making. Are certain power distributions more conducive to the team making prosocial decisions?
PSMED - Patagonia Simple Model of Ethnic Differentiation
Joan A Barceló J A Cuesta Florencia Del Castillo Ricardo Del Olmo José M Galán Laura Mameli Francisco J Miguel David Poza José I Santos Xavier Vilà | Published Tuesday, December 10, 2013Patagonia PSMED is an agent-based model designed to study a simple case of Evolution of Ethnic Differentiation. It replicates how can hunter-gatherer societies evolve and built cultural identities as a consequence of the way they interacted.
Opinion Leaders' Role in Innovation Diffusion
Peter Van Eck | Published Wednesday, March 10, 2010 | Last modified Saturday, April 27, 2013This model is used to investigate the role of opinion leader. More specifically: the influence of ‘innovative behavior’, ‘weigth of normative influence’, ‘better product judgment’, ‘number of opinion
CONSERVAT
Pieter Van Oel | Published Monday, April 13, 2015The CONSERVAT model evaluates the effect of social influence among farmers in the Lake Naivasha basin (Kenya) on the spatiotemporal diffusion pattern of soil conservation effort levels and the resulting reduction in lake sedimentation.
The Li-BIM model aims at simulating the behavior of occupants in a building. It is structured around the numerical modeling of the building (IFC format) and a BDI cognitive architecture. The model has been implemented under the GAMA platform.
MERCURY extension: population
Tom Brughmans | Published Thursday, May 23, 2019This model is an extended version of the original MERCURY model (https://www.comses.net/codebases/4347/releases/1.1.0/ ) . It allows for experiments to be performed in which empirically informed population sizes of sites are included, that allow for the scaling of the number of tableware traders with the population of settlements, and for hypothesised production centres of four tablewares to be used in experiments.
Experiments performed with this population extension and substantive interpretations derived from them are published in:
Hanson, J.W. & T. Brughmans. In press. Settlement scale and economic networks in the Roman Empire, in T. Brughmans & A.I. Wilson (ed.) Simulating Roman Economies. Theories, Methods and Computational Models. Oxford: Oxford University Press.
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Landscape connectivity and predator–prey population dynamics
Jacopo A. Baggio | Published Thursday, November 10, 2011 | Last modified Saturday, April 27, 2013A simple model to assess the effect of connectivity on interacting species (i.e. predator-prey type)
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