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September 6, 2022

Causal Data Science Meeting 2022 – Call for Papers


CDSM22 — Call for Papers

Dear subscriber,

After the overwhelming success of last year, with more than 1,200 registered participants, we are happy to announce the Causal Data Science Meeting 2022. This two-day virtual event (Nov 7–8) will bring together academics and data scientists from industry to discuss the latest methodological advances as well as practical aspects and organizational challenges around the adoption of causal ML tools. The workshop features invited talks and presentations of accepted proposals. This year we are looking forward to two fantastic keynotes speeches by Silvia Chiappa (DeepMind, UCL) and Judea Pearl (ACM Turing Award Winner, UCLA). Please follow the link below for pre-registration (free of charge) and the call for abstracts (deadline: October 2nd).

Kind regards,

The Organizing Team (Jermain Kaminski, Paul Hünermund, Carla Schmitt, Beyers Louw)


September 1, 2022

Causal Data Science Meeting 2022 – Call for Papers

The Causal Data Science Meeting 2022 (Nov 7–8, 2022) aims to establish an interdisciplinary dialogue between academics and business experts on causal inference methods & applications.


August 28, 2022

Using Causal Inference and Experimentation to Improve our Referral Program

In this post, Ben Tengelsen from the IntelyCare Research Group explains how Bayesian structural time-series models and experimentation helped to improve a referral program.


March 15, 2022

When Using Time-Varying Regressors in Difference in Differences

In this post, Brant Callaway from the University of Georgia explains why time-varying covariates might pose a problem in TWFE and what steps you can take to avoid them.

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