Emma Williams-Baron
Peer-Reviewed Publications
Daviss, Claire,* Emma Williams-Baron,* and Erin Macke. 2025. “Hiring the Ideal Remote Worker: The Gendered Implications of the Rise of Remote Work.” Social Forces.
Erin Macke,* Claire Daviss,* and Emma Williams-Baron.* 2024. “Untapped Potential: Designed Digital Trace Data in Online Survey Experiments.” Sociological Methods & Research. Awarded the Barbara and Sandy Dornbusch Award in Social Psychology, Stanford University
(*Denotes equal authorship)
Website
Bio
My research agenda takes a multilevel approach to investigating gender and racial/ethnic inequality in the labor market. In addition to macro-structural patterns, I consider how these inequalities manifest in workplaces and among workers and job applicants. Even as my theoretically informed, empirically driven analyses investigate the shape of inequality, where possible I leverage these insights to also test new possibilities for ameliorating it. My work to date spans the supply and demand sides of occupational segregation, hiring discrimination, job mobility, longitudinal wage trajectories, and remote and hybrid work. Methodologically, I primarily employ experimental and quantitative methods, and I retain a keen interest in qualitative methods to uncover mechanisms in open-ended survey text data.
In one stream of research, I begin by establishing patterns of inequality in how workplace rewards, such as hiring decisions and salary offers, are distributed, and then causally test interventions to mitigate these patterns. In a second stream of research, I investigate disruptions in occupational and organizational segregation, a perniciously stubborn form of inequality that few have surmounted. In a third stream, I develop methodological innovations to improve how we know what we know from experiments and survey data. I contribute novel approaches to collecting new types of data as well as analyzing new and existing data.
I see my research, teaching, and service as interconnected. I have been a teaching assistant for three courses at the undergraduate level at Stanford, including America: Unequal, The Urban Underclass, and Sport, Competition, and Society, and have helped Stanford scholars at all levels (including undergraduate and graduate students, postdocs, and faculty) in my role at Stanford's Software and Services for Data Science.
Prior to grad school, I worked in Washington, D.C. for three years as a researcher at the Institute for Women's Policy Research. I graduated from Reed College with a B.A. in Sociology.