The goal of this initiative is to provide capacity-building opportunities to improve the skill, practices, and protocols to make computational models findable, accessible, interoperable, and reusable (FAIR).
We have selected a list of highly cited papers in different domains and developed a protocol for making those models FAIR. Our aim is to make over 100 models FAIR, with the help of the modeling community. We will stimulate activities to advance model analysis of those FAIR models using high throughput computing.
Learn more about the initiative and process below!
What is it?
A capacity-building, community driven initiative to increase the transparency and reproducibility of a selection of the most highly cited models across the social and ecological sciences. Learn more on the Details page.
Why get involved?
This initiative can be a great way to build your network and meet collaborators, introduce model replication challenges to your students, or simply contribute to a common good by making more models reproducible and interoperable. Learn more on the Details page.