Online Causal Inference Seminar

A regular international causal inference seminar.

Mailing List

To stay up-to-date about upcoming presentations and receive Zoom invitations please join our mailing list. You will receive an email to confirm your subscription. If you are already subscribed to our mailing list and would like to unsubscribe, you may unsubcribe here.

Suggest a speaker

If there is anyone you would like to hear at the Online Causal Inference Seminar, you may let us know here.

Opportunities in Causal Inference

Please check out our opportunities in causal inference page for conferences, workshops, and job listings! If you would like us to list an opportunity, please email us at

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Upcoming Seminar Presentations

All seminars are on Tuesdays at 8:30 am PT / 11:30 am ET / 4:30 pm London / 5:30 pm Berlin / 11:30 pm Beijing.

We are having a summer break now. See you next fall!  

Format and Rules

The seminars are held on Zoom and last 60 minutes. Our seminars will typically follow one of three formats:

Format 1: single presentation

Format 2: two presentations

Format 3: interview

A moderator collects audience questions in Q&A section. 

Moderators may ask you to unmute yourself to participate in the discussion. Please note that you may be recorded if you activate your audio or video during the seminar.

Organizers & Moderators

Naoki Egami (Columbia), Laura Forastiere (Yale), Guido Imbens (Stanford), Ying Jin (Stanford),  Sara Magliacane (University of Amsterdam), Razieh Nabi (Emory), Georgia Papadogeorgou (University of Florida), Ema Perkovic (UWashington), Dominik Rothenhäusler (Stanford), Qingyuan Zhao (Cambridge), Michael Celentano (Stanford)

Advising committee

Susan Athey (Stanford), Guillaume Basse (Stanford), Peter Bühlmann (ETH Zürich), Peng Ding (Berkeley), Andrew Gelman (Columbia), Guido Imbens (Stanford),  Fabrizia Mealli (Florence), Nicolai Meinshausen (ETH Zürich), Maya Petersen (Berkeley), Thomas Richardson (UW), Dominik Rothenhäusler (Stanford), Jas Sekhon (Berkeley/Yale), Stefan Wager (Stanford)

Feedback and Suggestions

If you have feedback or suggestions, please e-mail us at


We gratefully acknowledge support by the Stanford Department of Statistics and the Stanford Data Science Initiative.

Instructions for Attendees

You can join the webinar by clicking the link on the webpage. If you signed up to the mailing list, you will receive an email with the link before the webinar begins. On Tuesday, you should join the seminar shortly before the start time 8:30 am PT.

Please participate during the seminar!

Due to high demand, we will host the seminar as a Zoom webinar. As an attendee, you will not be able to unmute yourself. If you have questions about the content of the talk, please submit the questions using the Zoom Q&A feature. Time permitting, and depending on the volume of questions, the moderator will either ask your question for you or confirm with you to ask the question yourself and unmute you at a suitable time. In some meetings, the collaborators of the speaker will be online to address your questions in Q&A. Note that Q&A will be moderated by us so you will only be able to see some of the questions of the other attendees. If you want to send messages to the moderators during the seminar, please use the Zoom chat feature. 

Zoom instructions

If you have not used Zoom before, we highly recommend downloading and installing the Zoom client before the meeting. Additional instructions on how to use Zoom during a webinar can be found here. Note that for the online causal inference seminar, we do not require registration in advance so you will be able to join by simply clicking the link on this webpage or in the email.

If you have further questions, please drop us an email at