consensus on science - network validation
- How the network validates the truthfulness or accuracy of claims or laws of nature?
Peer review was invented to provide science with a self checking and skeptical feedback mechanism on itself. In a world of data driven computational science and a backdrop of a ‘reproducibility crisis’ how does science innovate new network validation protocols to provide new immutable evidence trails and guarantee rigour of results or claims? How can it be assured that peer-review supports outliers with new ideas/findings early and strongly?
Online discussion diary of hangouts coming soon
LINKS to specific work groups and papers: