Content under development

The IM partnership is being launched as we write (Fall 2017). Much of the its initial work will provide full documentation in web pages like this one. As a temporary preview, we outline each page's planned contents here. We expect the site to be in initial working shape by 2018.

We are currently entertaining conversations with prospective partners, whose participation will be instrumental in finalizing this site's details and content.

Please contact us at if you would like more information before then.

Outline of forthcoming content

Collaborative modeling, which allows scientists to contribute their own knowledge and reuse that contributed by others, is critical to successful interdisciplinary science that can be relevant for addressing complex societal challenges.

Proper reuse of scientific data and models, following an open-source, open-data paradigm, can enhance the credibility and transparency of scientific modeling, and improve the replicability of complex scientific workflows.

Collaborative modeling – if imbued with proper semantics – is poised to thrive as the open-data culture continues to grow (supported by open-data initiatives in academia, government, and scientific publishing). Open data considers scientific data as first-class research objects, each identified by a persistent uniform resource identifier (URI) and stored on data repositories. Collaborative modeling on the semantic web can enable these repositories to better live up to their full potential, as data become more fully Findable, Accessible, Interoperable, and Reusable (FAIR).