What is Causal Data Fusion?

Causal data science methods are currently experiencing growing adoption in industry. In spring 2020, we conducted a global survey of data science practitioners to explore the use of causal data science methods in business practice.

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.

Patrick Doupe, Principal Economist at Zalando SE, shares his team's experience about what it takes to raise attention to causal inference in practice.

We are delighted to share a summary of the Causal Data Science Meeting 2020 with you. This year's event was jointly organized by Maastricht University and Copenhagen Business School.