Sports and data science - syndicated from MIT Press journal Harvard Data Science Review

2021-10-13

How are sports teams using data science? This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data. In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng dig int...

How are sports teams using data science?

This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data.

In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng dig into the data behind sports with two experts: Brian Macdonald, sports analytics at Yale (formerly Carnegie Mellon University) and Kirk Goldsberry, NBA analyst at ESPN and author of Sprawlball: A Visual Tour of the New era of the NBA.

If you enjoy this preview of the Harvard Data Science Review podcast, find the journal on twitter at @TheHDSR and remember to subscribe to their podcast on your favorite platform.

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