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In this episode, Marcel Altenburg, senior lecturer in crowd science at Manchester Metropolitan University, explains how crowd science helps both race organizers and runners by improving race logistics and participant experiences. He shares insights into how marathons are planned, how start waves and corrals are determined, and how crowd management can increase race capacity. Marcel also discusses how race organizers use predictive algorithms to ensure safety and efficiency throughout the course and how these principles extend beyond running events.Key Topics Discussed: How Crowd Science Improves Runner Experience
The Role of the Start Right Algorithm for Race Organizers
Increasing Race Capacity While Maintaining Safety
Real-Time Adjustments and Crisis Planning for Races
Lessons for Runners and Race Organizers Beyond Running Events
In this episode, Marcel Altenburg, senior lecturer in crowd science at Manchester Metropolitan University, explains how crowd science helps both race organizers and runners by improving race logistics and participant experiences. He shares insights into how marathons are planned, how start waves and corrals are determined, and how crowd management can increase race capacity. Marcel also discusses how race organizers use predictive algorithms to ensure safety and efficiency throughout the course and how these principles extend beyond running events.Key Topics Discussed: How Crowd Science Improves Runner Experience
The Role of the Start Right Algorithm for Race Organizers
Increasing Race Capacity While Maintaining Safety
Real-Time Adjustments and Crisis Planning for Races
Lessons for Runners and Race Organizers Beyond Running Events