In this episode Eamon Duede, the Executive Director of Knowledge Lab at the University of Chicago, speaks with Elizabeth about the latest modeling research using big data to understand behaviors and patterns surrounding manuscript review. This is the second part of a two-part series discussing how the use of large-scale computation helps researchers understand how humans create knowledge. In this episode they discuss: - The profile of a reviewer most likely to accept a review - Who is most likely to provide a quality review - What aspects of an article make it more likely to be accepted or rejected - Seven things you should pay attention to in order to improve your manuscript’s acceptance rate - How bias impacts peer review