Episode 4: Mitali Banerjee
I talk to Mitali Banerjee, who is an Assistant Professor of Strategy and Business Policy at HEC Paris, about her research on the relation between artistic differentiation and fame. She uses machine learning to measure how different artists are from their peers, and proxies fame through Google Ngram counts. Her findings suggest that the most transformative ideas may not always get the attention they deserve.
Episode 2: Readings and Links
In the second episode of this podcast, Noah explained how he measures the novelty of pop songs. In 2017, he published a first paper on this topic in the American […]
Episode 2: Noah Askin
In this episode, I talk to Noah Askin, Assistant Professor of Organizational Behavior at INSEAD, about creativity in pop music. We discuss how to construct machine-based measures of sonic novelty, whether (teams with) female artists are more creative, and what is the optimal level of novelty for a pop song.