Tue 4/1, 4:30pm, DSI Talk: Amy Coddington - Tracking Hits: Measuring Music's Popularity in the Radio Age
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Matteo Riondato
Mar 31, 2025, 1:35:55 PMMar 31
to Data Science Initiative Announcements
Hi All,
Please join us, *tomorrow*, Tuesday 4/1 at 4:30pm in SCCE E110, for a talk part of the Data Science Initiative speaker series.
Speaker: Prof. Amy Coddington (Music)
Title: Tracking Hits: Measuring Music's Popularity in the Radio Age
Abstract:
How do we measure musical popularity? And how has this changed over the past fifty years? In this talk, Professor Amy Coddington examines how the music industry has historically measured the popularity of songs and albums and what sorts of problems are intrinsic to these kinds of data. Exploring how popularity was measured and how this data was used during the 1980s and 1990s, this talk reveals how popularity data shapes industry and consumer practices. While data about musical popularity is most often used to measure success, this same data also drives success, creating a system in which gatekeepers harness data to shape artists' careers and direct the trajectory of a given genre.
Light fancy refreshments will be served before the talk.
Thanks,
Matteo
Please join us, *tomorrow*, Tuesday 4/1 at 4:30pm in SCCE E110, for a talk part of the Data Science Initiative speaker series.
Speaker: Prof. Amy Coddington (Music)
Title: Tracking Hits: Measuring Music's Popularity in the Radio Age
Abstract:
How do we measure musical popularity? And how has this changed over the past fifty years? In this talk, Professor Amy Coddington examines how the music industry has historically measured the popularity of songs and albums and what sorts of problems are intrinsic to these kinds of data. Exploring how popularity was measured and how this data was used during the 1980s and 1990s, this talk reveals how popularity data shapes industry and consumer practices. While data about musical popularity is most often used to measure success, this same data also drives success, creating a system in which gatekeepers harness data to shape artists' careers and direct the trajectory of a given genre.
Light fancy refreshments will be served before the talk.
Thanks,
Matteo
Sarah Wu
Apr 1, 2025, 8:00:44 AMApr 1
to Amherst College Data Science Initative Announcements
A quick reminder that this event is happening today!
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