Brought to you by the award winning journal, Harvard Data Science Review, our podcast highlights news, policy, and business through the lens of data science. Each episode is a “case study” into how data is used to lead, mislead, manipulate, and inform the important decisions facing us today.
Episodes
Thursday Apr 15, 2021
Thursday Apr 15, 2021
What are the biggest predictors of an Oscar win? What are the pros and cons of using quantitative vs. qualitative data? Has the film industry’s increased use of streaming services impacted Oscar predictions? Hosts Xiao-Li Meng and Liberty Vittert investigate these questions and more by speaking with two renowned Oscar awards predictors: Boston Globe film critic and columnist Ty Burr and Ben Zauzmer, author of Oscarmetrics: The Math Behind the Biggest Night in Hollywood and the HDSR article, "Oscar Seasons: The Intersection of Data and the Academy Awards".
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