William Cai

attn nyc undergrads: applications are open for our 11th annual data science summer school at @MSFTResearch nyc! apply here: bit.ly/3pCQENh

We hope our work will be of use to practitioners who seek to improve and reform traffic enforcement systems, and support ongoing efforts to improve equity broadly. Full paper: academic.oup.com/pnasnexus/arti… Analysis code: github.com/stanford-polic…

Huge thanks to my co-authors, without whom this project wouldn’t have been possible: @jgaeb1, Justin Kaashoek, Lisa Pinals, @samrmadden, and @5harad.

Our new paper in PNAS Nexus finds that, while drivers themselves speed as much in white neighborhoods as non-white neighborhoods, speeding enforcement varies a great deal. Paper (academic.oup.com/pnasnexus/arti…) + thread: w/@jgaeb1, Justin Kaashoek, Lisa Pinals, @samrmadden, and @5harad

We hope our work will be of use to practitioners constructing datasets to train models, and broadly support ongoing efforts to make statistical models more equitable.

We show that in both settings, our adaptive sampling strategy obtains near-optimal policies, while allowing model-builders to efficiently prioritize traditionally underserved groups and avoid unintended consequences of heuristics such as representative and equal sampling.

Paper! with @rosemariesays , Bobbie Chern, @scorbettdavies , @mbogen , @tvr2c , @5harad. We propose a strategy to construct more equitable datasets for training ML models. Paper: arxiv.org/abs/2202.01327 Thread: 1/