Synthetic Control Methods


DataX - Accelerating Scientific Discovery at Princeton



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

January 11 & 13, 2022 | CITP DataX Data Scientist Pranay Anchuri Wintersession Workshop: Introduction to Blockchain and Decentralized Finance

This is a two-part Princeton University Wintersession workshop January 11 and 13, 2022 from 1 p.m. to 3 p.m. in which Anchuri will discuss Bitcoin’s history and how it works. Anchuri will also feature in these workshops the rise of Ethereum, a programmable blockchain, and the type of applications that can be developed in the Ethereum ecosystem.

The workshop is open to all Princeton University members and undergraduates are encouraged to enroll.

For more information and to register for the workshops:

January 12, 2022 | Catalysis DataX Data Scientist Jose Garrido Torres Wintersession Workshop: Data Visualization in Python

An introduction to effective data visualization in Python. Attendees will be exposed to several plotting packages in Python, along with how to integrate them with NumPy and Pandas. Other packages discussed include Matplotlib, Seaborn, and Plotly. Examples will include static and interactive 1D plots, 2D contour maps, heat maps, violin plots, and box plots.
Knowledge prerequisites: Participants should have reasonable facility with the Python programming language, including a basic familiarity with NumPy arrays and Pandas data frames. This session is not appropriate for those with no prior Python experience. However, no previous experience with Python plotting tools is required.

Wintersession is for University affiliates only.

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.


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