Dr. Jean Carletta has been awarded the 2021 Association for Computational Linguistics 25-year Test-of-Time paper award for Assessing Agreement on Classification Tasks: The Kappa Statistic, Computational Linguistics 22 (1), 1996. In this paper she intervened to correct a common but misleading statistical practice. As a result, her field began to require assessments of how variability in subjective analyses could bias the claims made for their results. Although her work was based on existing content analysis best practice in the humanities, the clarity of her expression led to the paper being used widely in teaching research methods to medical students as far afield as Beijing.
Jean is a Senior Research Fellow in the School of Computer Science. She is engaged in a wide portfolio of work that takes a systems level approach to improving the impact Scotland’s academic community has on national cyber security and resilience.

https://www.aclweb.org/portal/content/announcement-2021-acl-test-time-paper-award-0