Paul Hünermund
How Intelligent Is C-3PO Really? An Introduction to the Ladder of Causation
What can an age-old science fiction flick tell us about the quest for general AI? Explaining the ladder of causation at the example of C-3PO.
Posted February 21, 2023 by Dustin Frederik Rusteberg and Paul Hünermund ‐ 10 min read
Causal Data Science Meeting 2022: Using Causal Inference to Solve Problems We Care About
We are delighted to share a summary of the Causal Data Science Meeting 2022 with you. The event was jointly organized by Maastricht University and Copenhagen Business School.
Posted November 24, 2022 by Paul Hünermund and Jermain Kaminski and Beyers Louw and Carla Schmitt ‐ 4 min read
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.
Posted September 1, 2022 by Paul Hünermund and Jermain Kaminski ‐ 2 min read
Causal Data Science Meeting 2021
We are delighted to share a summary of the Causal Data Science Meeting 2021 with you. The event was jointly organized by Maastricht University and Copenhagen Business School.
Posted November 19, 2021 by Paul Hünermund and Jermain Kaminski and Carla Schmitt and Beyers Louw ‐ 3 min read
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