BEGIN:VCALENDAR VERSION:2.0 X-WR-CALNAME;VALUE=TEXT:Stone Inequality & Social Policy Seminar: Stone Scholar Symposium PRODID:-//Harvard events data//EN BEGIN:VEVENT UID:event_1902401_0 SUMMARY:Stone Inequality & Social Policy Seminar: Stone Scholar Symposium DESCRIPTION:

The inaugural Stone Scholar Symposium will take place on Monday, April 28, 2025. This event features two Stone PhD Scholars who will present their research in the Stone Inequality & Social Policy Seminar. 

Featuring:

Clem Aeppli

PhD Candidate in Sociology and Stone PhD Scholar in Inequality and Wealth Concentration

"Workplace Segregation and the Changing Structure of American Racial Pay Disparities"

Abstract: In the last forty years, one’s earnings have come to depend more and more on where one works. How has this reshaped racial and ethnic earnings disparities? I answer this question with American demographic and establishment microdata from the 1970s to the present. I find that black and Hispanic workers have become increasingly siloed into low-revenue, low-paying firms. About half of this trend has been driven by the relocation of blue-collar occupations to low-paying firms, reflecting the rise of outsourcing and related transformations. Today, this pattern of workplace marginalization contributes about 15% and 25%, respectively, to the black-white and Hispanic-white pay gaps.

Clem Aeppli is a PhD candidate in Sociology at Harvard University and a Stone PhD Scholar. He studies the changing organization of work and its implications for instability and inequality, using both historical and contemporary data. He received a BSc in Sociology and in Mathematics from Brown University.

Fiona Chen

PhD Candidate in Business Economics and Stone PhD Scholar in Inequality and Wealth Concentration

"Generative AI and Inequality"

Abstract: How do generative AI technologies affect productivity, organizational structure, and inequality? We study the effects of tech firms' adoption of GitHub Copilot, a generative AI software development tool. To do so, we leverage a novel proprietary dataset from a worker management platform on 80,000 workers from 400 firms. We begin by documenting Copilot’s effects on engineers’ productivity. Then, we provide evidence on shifts in task allocation and labor demand. Finally, we examine the differential impacts of this technology of workers from different backgrounds.

Fiona Chen is a Ph.D. candidate in Business Economics at Harvard University. She is also a Stone Inequality Scholar, PD Soros Fellow, Doctoral Affiliate at Opportunity Insights, and Research Fellow at the Social Finance Institute. Her research examines the labor market impacts of generative AI technologies. She received her B.S. in Mathematics and in Economics from MIT.

LOCATION:Malkin Penthouse STATUS:CONFIRMED DTSTART:20250428T160000Z DTEND:20250428T171500Z END:VEVENT END:VCALENDAR