Paul Hünermund

Causal Data Science in Large US Firms

We see more and more examples of companies starting to invest in causal inference capabilities. But how widespread is this phenomenon? And who are the industry players that are active in this space?

Posted September 9, 2021 by Paul Hünermund and Jermain Kaminski ‐ 5 min read

How to Understand and Influence Behavior Using Data Science

We talked with Florent Buisson, consultant and author, about his new book 'Behavioral Data Analysis with R & Python' (O’Reilly) and his perspective on data science and teaching.

Posted August 30, 2021 by Paul Hünermund and Florent Buisson ‐ 5 min read

Causal Data Science Meeting 2021 – Call for Papers

The Causal Data Science Meeting 2021 (Nov 15–16, 2021) aims to establish an interdisciplinary dialogue between academics and business experts on causal inference methods & applications.

Posted August 10, 2021 by Paul Hünermund and Jermain Kaminski ‐ 4 min read

What is Causal Data Fusion?

This post outlines the data fusion process. This automated and do-calculus based inferential engine opens up a complete causal inference pipeline, from problem specification, to identification, to estimation.

Posted April 1, 2021 by Paul Hünermund ‐ 5 min read

Causal Inference is More than Fitting the Data Well

Causal inference tools can be challenging for practitioners to adopt because they require an entirely new approach to data science. This post describes some of the cultural and organizational challenges that come with this new paradigm.

Posted February 1, 2021 by Paul Hünermund ‐ 4 min read