Online Causal Inference Seminar
Online Causal Inference Seminar
A regular international causal inference seminar. Sign up to our mailing list to receive announcements.
All seminars are on Tuesdays at 8:30 am PT / 11:30 am ET / 4:30 pm London time / 00:30 am(+1day) Beijing time. Please note: Due to recent daylight-saving time changes, the meeting time in your local time zone may have shifted.
Zoom link and other details are provided below. Past talks are available here. Recordings of past webinars are available on our YouTube channel (subscribe to get notified!).
Tuesday, Feb 24, 2026: OCIS+INI joint webinar
- Speaker: Kayvan Sadeghi (University College London)
- Time: This event starts at 8:30 am PT/ 11:30 am ET/ 4:30 pm London time/ 00:30 am Beijing time(+1day)
- Zoom details: Zoom link, meeting ID: 819 2387 7168, passcode: Newton1
- Title: A theory of causality with multiple interventions
- Abstract: Causal intervention is an essential tool in causal inference. By considering a family of interventional distributions for multiple interventions, we propose simple assumptions that lead to a theory of causality that has several advantages: it does not need to make use of any modeling assumptions such as those imposed by structural causal models; it includes most cases with latent variables and causal cycles; and more importantly, it does not assume the existence of an underlying true causal graph as we do not take it as the primitive object—in fact, a causal graph is derived as a by-product of our theory. We show that, with these assumptions, the intervened distributions are Markovian to the defined intervened causal graphs, and an observed joint probability distribution is Markovian to the obtained causal graph. We discuss how structural causal models fit in this setting. (Joint work with Philip Dawid and Terry Soo)
Tuesday, Mar 03, 2026: OCIS+INI joint webinar
- Speaker: Mats Stensrud (EPFL)
- Zoom details: TBA
- Title: TBA
- Abstract: TBA
Tuesday, Mar 10, 2026:
- Speaker: Dean Eckles (MIT)
- Zoom details: Zoom link (webinar ID: 968 8371 7451, password: 414559)
- Title: Policy relevance of causal quantities in networks
- Abstract: TBA
- Discussant: TBA
Tuesday, Mar 17, 2026: OCIS+INI joint webinar
- Speaker: TBA
- Zoom details: TBA
- Title: TBA
- Abstract: TBA
Tuesday, Mar 24, 2026:
- Speaker: Falco Bargagli Stoffi (University of California, Los Angeles)
- Zoom details: Zoom link (webinar ID: 968 8371 7451, password: 414559)
- Title: TBA
- Abstract: TBA
- Discussant: TBA
Tuesday, Apr 07, 2026:
- Speaker: Thomas Icard (Stanford University)
- Zoom details: Zoom link (webinar ID: 968 8371 7451, password: 414559)
- Title: Causal Inference as a Logical Problem
- Abstract: The goal of this talk will be to show how problems of causal inference can be usefully and precisely understood as logical problems. Adapting tools and concepts from mathematical and computational logic affords new perspectives, raises new questions, and sheds light on some practical and theoretical issues in causal inference. We illustrate with several examples, including some ways in which a logical lens can help clarify the empirical status of assumptions sufficient to bridge gaps between limited data and substantive causal conclusions.
- Discussant: TBA
Tuesday, Apr 14, 2026:
- Speaker: Matteo Bonvini (Rutgers University)
- Zoom details: Zoom link (webinar ID: 968 8371 7451, password: 414559)
- Title: TBA
- Abstract: TBA
- Discussant: TBA
Tuesday, May 05, 2026:
- Speaker: Martin Tingley (Microsoft)
- Zoom details: Zoom link (webinar ID: 968 8371 7451, password: 414559)
- Title: TBA
- Abstract: TBA
- Discussant: TBA
Tuesday, May 19, 2026:
- Speaker: Naoki Egami (Massachusetts Institute of Technology)
- Zoom details: Zoom link (webinar ID: 968 8371 7451, password: 414559)
- Title: TBA
- Abstract: TBA
- Discussant: TBA
Tuesday, June 02, 2026:
- Speaker: Suhas Vijaykumar (U.C. San Diego)
- Zoom details: Zoom link (webinar ID: 968 8371 7451, password: 414559)
- Title: TBA
- Abstract: TBA
- Discussant: TBA
Tuesday, June 09, 2026: OCIS+INI joint webinar
- Speaker: Yixin Wang (University of Michigan)
- Zoom details: TBA
- Title: TBA
- Abstract: TBA
Recordings of our past webinars are available on YouTube. Follow us on YouTube to stay notified!
briel Loewinger, PhD (NIH), Emre Kiciman, PhD (Microsoft), Natalie Levy, PhD (Aetio
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.
If there is anyone you would like to hear at the Online Causal Inference Seminar, you may let us know here.
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 onlinecausalinferenceseminar@gmail.com.
Recordings of our past webinars are available on YouTube. Follow us on YouTube to stay notified!
The seminars are held on Zoom and last 60 minutes. Our seminars will typically follow one of three formats:
Format 1: single presentation
45 minutes of presentation
10 minutes of discussion, led by an invited discussant
Q&A, time permitting
Format 2: two presentations
Two presentations, 25-30 minutes each
Q&A, time permitting
Format 3: interview
40-45 minute conversation with leader in causal inference
15-20 minutes of Q&A
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.
Oliver Dukes (Ghent), Naoki Egami (Columbia), Aditya Ghosh (Stanford), Guido Imbens (Stanford), Ying Jin (Wharton), Sara Magliacane (U of Amsterdam), Razieh Nabi (Emory), Ema Perkovic (U of Washington), Dominik Rothenhäusler (Stanford), Rahul Singh (Harvard), Mats Stensrud (EPFL), Qingyuan Zhao (Cambridge)
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)
If you have feedback or suggestions, please e-mail us at onlinecausalinferenceseminar@gmail.com.
We gratefully acknowledge support by the Stanford Department of Statistics and the Stanford Data Science Initiative.
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.
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.
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 onlinecausalinferenceseminar@gmail.com