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Data Tripper: Distinguishing Authorship of Beatles Songs via Data Science

  • 1.  Data Tripper: Distinguishing Authorship of Beatles Songs via Data Science

    Posted 10-11-2023 08:46

    Dear Colleagues,

    The Boston Chapter of the ASA and the Harvard University student chapter (GUSH) are co-organizing the following event. We are thrilled to host Dr. Mark Glickman for his captivating presentation.

    Title: Data Tripper: Distinguishing Authorship of Beatles Songs via Data Science

    Date: Thursday, Oct. 19, 2023 

    Time: 7:00 - 8:00 pm

    Location: Science Center Lecture Hall A, Harvard University, 1 Oxford St, Cambridge MA 02138

    Cost: Free

    REGISTER HERE!


    Abstract:

    The songwriting duo of John Lennon and Paul McCartney, the two founding members of the Beatles, have composed some of the most popular and memorable songs of the last century. Despite having authored songs under the joint credit agreement of Lennon-McCartney, it is well-documented that most of their songs or portions of songs were primarily written by exactly one of the two. Some Lennon-McCartney songs, such as "In My Life", are actually of disputed authorship - both Lennon and McCartney individually remembered having written the music.  We developed a prediction model on the 70 Lennon-McCartney songs or song portions of known authorship based on variable screening followed by logistic regression with elastic net regularization. The results of our modeling were applied to songs and song portions with unknown or disputed authorship.

    Speaker Bio:

    Dr. Mark Glickman, a Fellow of the American Statistical Association (ASA), is Senior Lecturer on Statistics at the Harvard University Department of Statistics, and Senior Statistician at the Center for Healthcare Organization and Implementation Research, a Veterans Administration Center of Innovation. His research interests are primarily in the areas of statistical models for rating competitors in games and sports, and in statistical methods applied to problems in health services research.  Dr. Glickman serves as chair of the ASA Committee on Data Science and Artificial Intelligence and is chair of the US Chess ratings committee.

    Light food will be provided to registered attendees before the event, outside of Lecture Hall A. There are plenty of sitting areas in the Science Center open area. Please note that food and beverages are not allowed in Lecture Hall A or any other Science Center classrooms.



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    Jianjun Hua
    Boston Chapter of ASA
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