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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(De-)Stabilising effect of diffusions
Julia Kasmire Bert Van Meeuwen Cornelis Eikelboom | Published Tuesday, August 11, 2015What is stable: the large but coordinated change during a diffusion or the small but constant and uncoordinated changes during a dynamic equilibrium? This agent-based model of a diffusion creates output that reveal insights for system stability.
Model of the social game associated to the production of potato seeds in a Venezuelan region
Christhophe Sibertin-Blanc Ravi Rojas Oswaldo Terán Lisbeth Alarcón Liccia Romero | Published Monday, April 27, 2015 | Last modified Sunday, November 22, 2015This work aims at describing and simulating the (social) game around the production of potato seeds in Venezuela. It shows the effect of the identification of some actors with the production of native potato seeds (e.g., Venezuelan State´s low ident)
Cultural Spread
Salvador Pardo Gordó Salvador Pardo-Gordó | Published Thursday, April 02, 2015 | Last modified Thursday, April 23, 2020The purpose of the model is to simulate the cultural hitchhiking hypothesis to explore how neutral cultural traits linked with advantageous traits spread together over time
Environmental uncertainty affects the optimal structure of information-sharing networks
Marco Janssen Takao Sasaki Zachary Joseph Shaffer Stephen Pratt | Published Monday, March 16, 2015We used a computer simulation to measure how well different network structures (fully connected, small world, lattice, and random) find and exploit resource peaks in a variable environment.
Exploring organizational learning in innovation networks. An agent-based model
Sandra Schmid | Published Saturday, March 07, 2015This agent-based model represents a stylized inter-organizational innovation network where firms collaborate with each other in order to generate novel organizational knowledge.
Social and ecological feedback in greening behavior
Athena Aktipis | Published Thursday, February 19, 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.
TELL ME: protective behaviour in an epidemic
Jennifer Badham | Published Tuesday, February 10, 2015Models the connection between health agency communication, personal protective behaviour (eg vaccination, hand hygiene) and influenza transmission.
The emergence of tag-mediated altruism in structured societies
Shade Shutters David Hales | Published Tuesday, January 20, 2015 | Last modified Thursday, March 02, 2023This abstract model explores the emergence of altruistic behavior in networked societies. The model allows users to experiment with a number of population-level parameters to better understand what conditions contribute to the emergence of altruism.
Peer reviewed Umwelten Ants
Kit Martin | Published Thursday, January 15, 2015 | Last modified Thursday, August 27, 2015Simulates impacts of ants killing colony mates when in conflict with another nest. The murder rate is adjustable, and the environmental change is variable. The colonies employ social learning so knowledge diffusion proceeds if interactions occur.
Demographic microsimulation for individuals and couples
Sabine Zinn | Published Wednesday, January 14, 2015The simulation model conducts fine-grained population projection by specifying life course dynamics of individuals and couples by means of traditional demographic microsimulation and by using agent-based modeling for mate matching.
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