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Ville Satopaa

Associate Professor of Technology and Operations Management


Ville Satopaa is an Assistant Professor of Technology and Operations Management at INSEAD. His current research explores different areas of forecasting: judgmental and statistical forecasting, modeling crowdsourced predictions, combining and evaluating different predictions, and information elicitation. It involves developing general theory and methodology but also specific projects that analyse real-world data. In addition to working on forecasting, Ville has experience in applying Bayesian statistics to rank hospitals in terms of disease-specific mortality rates.

Before joining INSEAD, Ville received his MA/PhD degrees in Statistics from the Wharton School of the University of Pennsylvania. He also holds a BA in Mathematics and Computer Sciences from Williams College.

Latest posts

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Making the Crowd Wiser

Ville Satopää

Tools that use averaging to make future predictions might be leaving a lot of relevant information on the table.


The Secret Ingredients of ‘Superforecasting’

Data from a political predictions tournament are starting to yield insights into the main drivers of forecasting excellence – and how to cultivate it.


Warning: Do Not Just Average Predictions!

A novel framework for understanding and aggregating multiple predictions from diverse sources.


Improving the Accuracy of Hospital Rankings

Ville Satopää

Decision makers should never lose sight of reality when providing public ratings.