Erin Hartman is an Assistant Professor of Statistics and Political Science at UCLA. Her recent research focuses on creating new methods–including both theoretical approaches and new estimation strategies–for identifying and validating causal effects. She also studies survey design methodologies, including a new survey sampling method that reduces reliance on post hoc weighting methods and alleviate non-response bias, and an automated raking methodology that selects the optimal auxiliary vector on which to weight.
In 2012, Erin ran the polling operation for Obama for America’s Analytics department, which very accurately predicted election outcomes in the campaign’s battleground states. She also co-founded a successful analytics and technology start-up, BlueLabs, focused on providing analytics services to clients in politics, issues advocacy, healthcare, and education.
Erin holds a PhD in Political Science and an MA in Statistics from UC Berkeley.
Institution / Affiliation : University of California, Los Angeles
Methodology: Experimental Design, Statistics, Survey Methodology