Social Computing

Despite their sensitive nature, given the criticality of ERLs in academic promotion and tenure decisions, the limited research on validity and bias in ERLs is stunning. This project closes this gap by analyzing the linguistic characteristics of ERLs and examining the relationship between ERL linguistic characteristics, promotion candidate characteristics, letter writer characteristics, and promotion and tenure voting outcomes at the department, college, and university-level committees.

A comprehensive collection of ~5600 academic scholars across 65 STEM departments at Universities across the US. We manually extraced data from department websites and augmented with automatically scraped publication data from Google Scholar.