22 December 2020 – The Early Evidence Base site is among the five winners of the latest ASAPbio PreprintSprint. Projects presented in the sprint focused on various approaches to encourage preprint review and curation. Early Evidence Base (EEB) is an experimental platform by EMBO that blends human scientific expertise with artificial intelligence to highlight scientific findings posted in preprints. Early Evidence Base publicly launches today.
On 4 December 2020, ASAPbio hosted public presentations from 16 teams who described their projects and the way they had revised them based on community feedback received in the initial phase of the sprint. Thomas Lemberger, initiator of EEB, consolidated the proposal for EEB during the consultative sprint phase, and presented an enhanced concept for the platform to all attendees and to three judges with expertise in preprint publishing. EEB was awarded as the project which developed most during the sprint.
EEB prioritizes preprints that are linked with expert peer reviews obtained from a variety of sources, including Review Commons, EMBO Press, eLife, and Peerage of Science, Peer Community In and Rapid Reviews: COVID-19. In-depth analyses from experts and responses from the authors are made directly accessible to readers who can use them to form an informed opinion on the reported findings. It also uses artificial intelligence to automatically organize and prioritize preprints based on scientific content.
EEB is free for all users and is developed as an open source project. The current pilot platform is under continuous development and will be modified based on feedback from the scientific community. EEB is publicly launched today.
