Abstract
Many academics and scientists, particularly those who are trans, have publications under more than one name. This talk will argue why it is important to allow authors to (silently) correct their names on previous publications, how we went from almost no publisher allowing this to proper policies at thousands of publication venues in just a few years, and what's still missing. We'll also talk about issues with third-party tools like Google Scholar, and take a look at how effective all of this is in getting authors to be cited by the right name.

Bio
Danica Sutherland is an Assistant Professor of Computer Science at the University of British Columbia and a Canada CIFAR AI Chair at Amii, doing research in machine learning (particularly representation learning, kernel methods, statistical testing, and learning theory). More relevantly for this talk, she is a core organizer at Queer in AI, a member of the Name Change Policy Working Group, and has worked to set up name change policies in machine learning venues for both her own benefit and others'.