My research interests include educational measurement, program evaluation, and testing policies. I have experience working with large data sets to analyze... Read more about Lily S An
My research broadly relates to causal inference and applied Bayesian modeling in a variety of settings, including education and sports. In particular, I'm... Read more about Jonathan Che
I am a computational social scientist who researches how adolescent racial and gender identity development is influenced by bias in digital products. My work... Read more about Avriel Epps-Darling
Statistics PhD, Causal Inference Methods in Social Sciences (G-3)
I am interested in areas of causal inference specifically in applications and methodologies in the social sciences. My research explores the intersection of... Read more about Dae Woong Ham
We are excited to welcome Youngwon to come work on text analysis as part of the received IES Grant "Practical tools for large-scale evaluation of text...
My research is at the intersection of Statistics and Education. My doctoral research focuses on the teaching of statistics & data science, including text... Read more about Emma Klugman
My work focuses on using experimental and quasi-experimental research designs to measure the impacts of education programs and policies. I typically study... Read more about Matthew Lenard
My research uses Quantitative Methods to study the mathematical achievement gap among Black and Brown students. I have experience using exploratory analysis on... Read more about Brein Mosely
I am currently working on developing interpretable text processing methods across a multitude of settings, such as social media, news articles, publicly... Read more about Lisa Ruan
I study early childhood development, with a focus on measurement and the use of assessments internationally to assess the effects of programs and policies. I... Read more about Jonathan Seiden
