Every platform user must be an identified human being. Bots are not allowed to control accounts. Managing multiple accounts is not allowed.

We describe "reviewer communities" as self-organizing, dynamic, overlapping and emergent associations.

How we make referencing prior work more relevant and informative.

Replacing the traditional accept/reject dichotomy with more a nuanced and interpretable evaluation.

We describe the process for gaining Reviewer status on C-SQD.

The challenge system is a reviewer initiated process for changing the relative prominence of an ElementReview or SynthesisReview.

We see at least two ways AI can directly support the goals of C-SQD.

A simple summary of the submission, publication and review process flows.

Elevating peer review to a level that reflects its importance to knowledge creation entails innovations in community engagement.

We explore some of the existing models and then argue for a new model.

In a nutshell: error correction is more important than verification. Verification is not a worthy goal because it is impossible.

It's about creating the right incentive structures. Does compensating reviewers lead to incurable bias? We don't think it has to.