2022 APSA Best Poster Award Recipient  - Elisha Cohen

Elisha Cohen is currently a Faculty Fellow at NYU’s Center for Data Science.  Elisha completed her PhD in political science from Emory University in 2022, where she studied political methodology with a focus on gender, race, and inequality in the United States. Cohen’s poster titled “Measuring Gender Bias in U.S. House Elections: An Outcome Test Approach” exemplifies the highest standards for research presented at APSA’s Annual Meeting in any format.  Cohen applies a new methodological approach to measuring gender bias in US House elections that accounts for the way that bias at one stage in a process obscures bias in subsequent stages, and quantifies the percentage of successful men at each stage (emergence, nomination, and general election) who would have failed had they been women.  The study makes a groundbreaking contribution to the study of candidate gender in the United States and elsewhere.  Cohen’s presentation of this research in the iPoster format is also top-notch, with attractive and informative figures and judicious use of text.