Jinkō Knowledge: The Knowledge Management Module of the Jinkō Modeling Platform

Jinkō's knowledge management feature allows scientific knowledge to be extracted from trusted sources to create a complete, fully transparent "knowledge-model". Scientific extracts and claims are expertly curated and scored by scientists, in a systematic and collective fashion, ensuring the knowledge underpinning any model is as robust and comprehensive as possible. These extracts and claims are then added to a fully collaborative document editor, alongside the global description of the model and its mathematical equations. This creates structured and transparent documentation, all the way to the scientific sources, including comments from internal and external experts involved in the research. Moderator: James A. Glazier, PhD, Indiana University, Bloomington For more information see: https://www.novadiscovery.com/jinko/ If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/