[Statlist] Online Causal Inference Seminar (OCIS)

[Maurer Letizia]

Dear friends of causality,

We are delighted to announce the creation of the Online Causal
Inference Seminar (OCIS)! Our goal in creating this seminar series is
to provide a platform for our community to continue interacting and
growing in spite of the current health crisis. The causal tent is a
big one, and we hope to engage with a broad variety of interests and
topics within causal inference: from applications to theory, from
Statistics to CS, both in academia and industry.


Seminars will be held on Zoom every Tuesday at 8:30 am PT (10:30 am CT
/ 11:30 am ET / 5:30 pm CET), starting next Tuesday, March 31st. Each
session will feature a 45 minutes talk by an invited speaker, followed
by a 15 minutes discussion led by an invited discussant. You can find
additional information at  http://causalinferenceseminar.com/ and sign
up for the mailing list here.


Our first speaker will be Dylan Small from Wharton, on Tuesday, March
31st. The title of the talk is "Testing an Elaborate Theory of a
Causal Hypothesis" (joint work with Bikram Karmakar).


Please forward this email to anyone who might be interested.

We are looking forward to seeing many of you!

The organizers,

Susan Athey
Guillaume Basse
Peter Bühlmann
Peng Ding
Andrew Gelman
Guido Imbens
Fabrizia Mealli
Nicolai Meinshausen
Maya Petersen
Thomas Richardson
Dominik Rothenhäusler
Jas Sekhon
Stefan Wager

_________________________
on behalf of the organizers
ETH Zürich
Seminar für Statistik
Sekretariat
Rämistrasse 101
CH-8092 Zürich
Tel: +41 446326518
sekretariat using stat.math.ethz.ch