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Machine Learning and Mediation - Online Course

A 4-Day Livestream Seminar Taught by

David Benkeser
Course Dates:

Tuesday, August 1–
Friday, August 4, 2023

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm (convert to your local time)

A fundamental goal in many areas of research is to describe the pathways whereby a treatment or intervention has an impact on downstream outcomes. Many methods have been developed over the years across many different literatures to tackle this problem, providing researchers with a set of tools for assessing mediation questions and the formal causal assumptions that they require.

At the same time, interest in machine learning and artificial intelligence has blossomed. This naturally leads to the question as to whether and how these tools can be appropriately combined with mediation methods.

In this course, we will guide you through the latest methods in mediation analysis, with a special emphasis on the integration of cutting-edge machine learning and artificial intelligence techniques. You will learn how to use regression stacking and super learning to build regression models that can unlock new insights and pathways for your research.

The course will also cover multiply robust approaches, which provide a natural and powerful means of incorporating machine learning into mediation analysis while preserving the validity of confidence intervals and hypothesis tests. All methods will be illustrated with hands-on data analysis using R.

Starting August 1, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.


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Seminar outline

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