Synthetic Control Methods

 

DataX - Accelerating Scientific Discovery at Princeton

 

 

SYNTHETIC CONTROL METHODS
June 2-3, 2022

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, September 11. Saturday, September 12 will be devoted to presentations and discussion of recent research contributions.
 


 

Workshop Organizers

  • Alberto Abadie

      • Massachusetts Institute of Technology
  • Matias Cattaneo

      • Princeton University

Upcoming Events

October 1, 2021 | Best Practices in Python Packaging

Presented by

  • Brian Arnold - DataX Data Scientist
  • Vineet Bansal - Senior Research Scientist at Princeton Research Computing

Read more and register here.

April 2022 | Tutorial Workshop on Machine Learning for Experimental Science

Presented by

  • Michael Churchill - Staff Research Physicist, PPPL
  • Hantao Ji - Professor, Astrophysical Sciences
  • William Tang - Principal Research Physicist, PPPL

Click here for more information.

June 2-3, 2022 | DataX Workshop: Synthetic Control Methods

Presented by

  • Matias Cattaneo -  Professor, Operations Research and Financial Engineering

Click here for more information.

Sponsors

We gratefully acknowledge financial support from the Schmidt DataX Fund at Princeton University made possible through a major gift from the Schmidt Futures Foundation and our Princeton University partners:

CSMLDataX - Accelerating Scientific Discovery at Princeton