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Join our workshop on Introduction to Causal Machine Learning estimators in R, which is a part of our workshops for Ukraine series!
Here’s some more info:
Title: Introduction to Causal Machine Learning estimators in R
Date: Thursday, April 11th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)
Speaker: Michael Knaus is Assistant Professor of “Data Science in Economics” at the University of Tübingen. He is working at the intersection of causal inference and machine learning for policy evaluation and recommendation.
Description: You want to learn about Double Machine Learning and/or Causal Forests for causal effect estimation but are hesitant to start because of the heavy formulas involved? Or you are already using them and curious to (better) understand what happens under the hood? In this course, we take a code first, formulas second approach. You will see how to manually replicate the output of the powerful DoubleML and grf packages using at most five lines of code and nothing more than OLS. After seeing that everything boils down to simple recipes, the involved formulas will look more friendly. The course establishes therefore how things work and gives references to further understand why things work.
Minimal registration fee: 20 euro (or 20 USD or 800 UAH)
How can I register?
- Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.
- Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
- Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).
If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.
How can I sponsor a student?
- Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!
- Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
- Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.
If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).
You can also find more information about this workshop series, a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.
Looking forward to seeing you during the workshop!
Introduction to Causal Machine Learning estimators in R was first posted on March 8, 2024 at 12:00 pm.
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