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 1 of 1 results ecuador clear search

Vacunación-Covid Ecuador

Adrian Lara | Published Tuesday, March 22, 2022

El modelo a continuación, fue desarrollado para el DATA CHALLENGE 2022. Es un análisis de la información descargada del Portal de datos abiertos de Ecuador. Dentro del modelo podemos realizar una breve exploración de la información así como una simulación respecto al proceso de vacunación en Ecuador.

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept