Transparent Statistics in Human–Computer Interaction

Transparent statistics is a philosophy of statistical reporting whose purpose is scientific advancement rather than persuasion. We are interested in moving the field of HCI and related fields like visualization towards clearer and more reliable ways of writing about experiments.

We organize events at the ACM CHI and IEEE VIS conferences related to research transparency.

To learn more about transparent statistics, check out the Transparent Statistics Guidelines

Join us! The best way to get involved is to join our Slack—email and we’ll send you an invite. We also have a mailing list you can sign up for, but the Slack is more active.

Organizers: Fanny Chevalier, Lewis Chuang, Pierre Dragicevic, Shion Guha, Steve Haroz, Matthew Kay, and Chat Wacharamanotham