Computational Model Library

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.

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 feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.

Displaying 10 of 60 results innovation clear search

A Simulation of Entrepreneurial Spawning

Mark Bagley | Published Wednesday, June 08, 2016 | Last modified Friday, June 30, 2017

Industrial clustering patterns are the result of an entrepreneurial process where spinoffs inherit the ideas and attributes of their parent firms. This computational model maps these patterns using abstract methodologies.

SimPLS - The PLS Agent

Iris Lorscheid Sandra Schubring Matthias Meyer Christian Ringle | Published Monday, April 18, 2016 | Last modified Tuesday, May 17, 2016

The simulation model SimPLS shows an application of the PLS agent concept, using SEM as empirical basis for the definition of agent architectures. The simulation model implements the PLS path model TAM about the decision of using innovative products.

Diffusion of Innovations on Social Networks

Hang Xiong | Published Saturday, April 16, 2016

This is model that simulates how multiple kinds of peer effects shape the diffusion of innovations through different types of social relationships.

Multi-level model of attitudinal dynamics

Ingo Wolf | Published Wednesday, April 06, 2016 | Last modified Wednesday, May 04, 2016

A model of attitudinal dynamics based on the cognitive mechanism of emotional coherence. The code is written in Java. For initialization an additional dataset is required.

This agent-based model examines the impact of seasonal aggregation, dispersion, and learning opportunities on the richness and evenness of artifact styles under random social learning (unbiased transmission).

This agent-based model represents a stylized inter-organizational innovation network where firms collaborate with each other in order to generate novel organizational knowledge.

The model is an experimental ground to study the impact of network structure on diffusion. It allows to construct a social network that already has some measurable level of homophily, and simulate a diffusion process over this social network.

Extra Innovation Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

One of four extensions to the standard Adder model that replicates a common type of transition experiment.

A simplified Arthur & Polak logic circuit model of combinatory technology build-out via incremental development. Only some inventions trigger radical effects, suggesting they depend on whole interdependent systems rather than specific innovations.

Displaying 10 of 60 results innovation clear search

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