This event has been postponed until 2021. More information will be provided when available.
Synthetic controls are widely applied to estimate the effects of policy interventions and other treatments of interests. The DataX Workshop on synthetic control methods seeks to provide an introduction to synthetic control methods for non-experts as well as an opportunity for researchers working on synthetic control methods to communicate new results, reach audiences outside their primary disciplinary fields, and seek potential collaborations. The two-day workshop will kick off with a 3-hour tutorial on synthetic control methods during the afternoon of Friday, May 15. Saturday, May 16 will be devoted to presentations and discussion of recent research contributions.
With the support of a major gift from Eric Schmidt ’76, his wife Wendy, and the Schmidt Futures Foundation the Center for Statistics and Machine Learning (CSML) is pleased to sponsor the Data Science at Princeton Workshop Series. These innovative and collaborative workshops in data science and machine learning are aimed at accelerating scientific discovery across Princeton University. The goal is to fund transformative inter-disciplinary workshops with high potential for subsequent impact on the broad research community.