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.

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The various technologies used inside a Dutch greenhouse interact in combination with an external climate, resulting in an emergent internal climate, which contributes to the final productivity of the greenhouse. This model examines how differing technology development styles affects the overall ability of a community of growers to approach the theoretical maximum yield.

Modeling financial networks based on interpersonal trust

Michael Roos Anna Klabunde | Published Wednesday, May 29, 2013 | Last modified Thursday, November 28, 2013

We build a stylized model of a network of business angel investors and start-up entrepreneurs. Decisions are based on trust as a decision making tool under true uncertainty.

The Travel-tour case study

Christophe Sibertin-Blanc Françoise Adreit Joseph El Gemayel | Published Sunday, May 19, 2013 | Last modified Friday, June 14, 2013

This model describes and analyses the Travel-Tour Case study.

Individual bias and organizational objectivity

Bo Xu | Published Monday, April 15, 2013 | Last modified Monday, April 08, 2019

This model introduces individual bias to the model of exploration and exploitation, simulates knowledge diffusion within organizations, aiming to investigate the effect of individual bias and other related factors on organizational objectivity.

We provide a full description of the model following the ODD protocol (Grimm et al. 2010) in the attached document. The model is developed in NetLogo 5.0 (Wilenski 1999).

Forager mobility and interaction

L S Premo | Published Thursday, January 10, 2013 | Last modified Saturday, April 27, 2013

This is a relatively simple foraging-radius model, as described first by Robert Kelly, that allows one to quantify the effect of increased logistical mobility (as represented by increased effective foraging radius, r_e) on the likelihood that 2 randomly placed central place foragers will encounter one another within 5000 time steps.

Feedback Loop Example: Forest Resource Transport

James Millington | Published Friday, December 21, 2012 | Last modified Saturday, April 27, 2013

This model illustrates a positive ‘transport’ feedback loop in which lines with different resistance to flows of material result in variation in rates of change in linked entities.

Linear Threshold

Kaushik Sarkar | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013

NetLogo implementation of Linear Threshold model of influence propagation.

Evolution of indirect reciprocity by social information

Yunhwan Kim | Published Friday, November 02, 2012 | Last modified Saturday, April 27, 2013

Indirect reciprocity can be evolved by the shared information among the people of small subgroups in the population.

Interactions between organizations and social networks in common-pool resource governance

Phesi Project | Published Monday, October 29, 2012 | Last modified Saturday, April 27, 2013

Explores how social networks affect implementation of institutional rules in a common pool resource.

Displaying 10 of 182 results information clear search

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