AI Summary

A research team led by Dirk Helbing at ETH Zurich examined Eurovision’s extensive historical data to study how participating nations and organizers have learned from each other over decades. Using freely accessible records of songs, voting, and rule changes, the team applied computer‑assisted social‑science methods to trace collective learning within the competition. The project began after complexity scientist Luis Amaral from Northwestern University visited Helbing’s group during an ESC event. This analysis highlights Eurovision as a uniquely documented cultural system for studying data‑driven social dynamics.

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