Product Quest Podcast Episode 32: The Art and Science of Causality with Paul Huenermund
Decisions shape the future. Making better decisions is critical for people and for society.
Businesses make strategic decisions all the time about where to invest, who to partner with, where to
advertise and much more. Customers make decisions about what products to buy and to use. Innovators, designers and engineers make decisions about what to build so that customers purchase and use what they make
Businesses have become more and more data-driven, with data science becoming ubiquitous, but
conventional data science has its limitations.
In this episode we discuss why understanding causality is critical for making better decisions and how leading
businesses are increasingly looking to incorporate causality in their data driven decision making
Our guest today is Paul Hünermund. Paul is an Assistant Professor of Strategy and Innovation at the
Copenhagen Business School, his research interests lie in the area of innovation, firm strategy, R&D policy
and causal inference. He is the co-founder of causalscience.org, a platform for fostering knowledge exchange
between industry and academia on topics related to causal data science.
References mentioned on the show:
Causal Machine Learning and Business Decision Making by P. Hünermund, J. Kaminski and C. Schmitt