- Developing robust, interpretable, and accessible statistical methodology tailored to contexts found in these fields.
- Translating existing methodology , evaluating and demonstrating existing methodology on real-world applications.
- Enhancing the training of researchers in these contexts.
Our collective research targets (1) and (2). Our lab meetings and paper reading groups target (3), while generating material for furthering (1) and (2).
We also strive to be anti-racist in our actions by promoting a vibrant and welcoming research community internally and looking for opportunities to dismantle racism externally.
|Information for prospective (and current) students:|
- Reagan Mozer and Aaron Kaufman, prior CARES Lab members, awarded the Miller Prize for "Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality"
- Lily An accepted to SICSS, JEPIDS 2021
- Ben Weidmann's "Missing, presumed different: Quantifying the risk of attrition bias in education evaluations" published by Royal Statistical Society
- Sophie Litschwartz wins AERA/NSF grant for her project "Characterizing Cross-Site Variation in Local Average Treatment Effects in Multisite RDD Contexts with an Application to High School Math Graduation Requirements"
- Watch: Weidmann & Miratrix talk at OCIS
- Weidmann & Miratrix publish "Lurking inferential monsters? Quantifying selection bias in evaluations of school programs"