Cassandra Handan-Nader


Ph.D. student in political science at Stanford University

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About me

I am a Ph.D. student in political science at Stanford University specializing in statistical methods for the study of American politics. Previously, I analyzed administrative policies at the local, state, and federal level as a research fellow at Stanford Law School.


Deep Learning to Map Concentrated Animal Feeding Operations

with Daniel E. Ho, Nature Sustainability (Forthcoming, 2019)

We develop a convolutional neural network using high resolution satellite images that offers an effective, highly accurate, and lower cost approach to detecting CAFO locations.

see paper see code

Quality Review of Mass Adjudication: A Randomized Natural Experiment at the Board of Veterans Appeals, 2003-16

with Daniel E. Ho, David Ames, and David Marcus, Journal of Law, Economics, and Organization (Forthcoming, 2019)

Studying a natural experiment in which 5-10% of draft opinions by judges of the Board of Veterans Appeals (BVA) were randomly selected for “quality review” by a team of full-time staff attorneys, we show that quality review had no appreciable effects on appeals or remands.

Due Process and Mass Adjudication: Crisis and Reform

with Daniel E. Ho, David Ames, and David Marcus, Stanford Law Review 72 (Forthcoming, 2019)

We ask whether management programs that agencies use systematically to audit and improve the quality of their judges’ decision-making can uphold the promise of due process in mass adjudication.

New Evidence on Information Disclosure through Restaurant Hygiene Grading

with Zoe C. Ashwood and Daniel E. Ho, American Economic Journal: Policy (Forthcoming, 2019)

Expanding hospitalization data and collecting new data on mandatorily reported illnesses, we show that a previous finding that restaurant grading decreased foodborne illness in LA does not hold up under improvements to the original data and methodology.

Data Visualizations

The Educational Opportunity Monitoring Project

Stanford Center for Education Policy Analysis

Interactive graphics depicting trends in racial and ethnic achievement gaps for all 50 states, and how the gaps relate to socioeconomic inequalities between groups.

see project see code

Income Segregation in the United States’ Largest Metropolitan Areas

Stanford Center for Poverty and Inequality

Interactive maps of the patterns and trends in residential income segregation over the past forty years in the two dozen most populated metropolitan areas of the United States.

see project see code

The Rent is Too Damn High

The Brooklyn Quarterly

Interactive map of the rent burdens and rent controlled buildings block by block in one of the country’s most expensive cities.

see project see code