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".
Data science is huge in sports, and it's not just game stats anymore. Player and ball tracking data are changing the way major sports leagues play games.
We dive into how these data are analyzed and what the results mean to coaches and teams with Kirk Goldsberry, NBA analyst at ESPN and author of “Sprawlball”, and Brian Macdonald, Faculty in Sports Analytics at Carnegie Mellon University, the author of “Recreating the Game: Using Player tracking Data to Analyze Dynamics in Basketball and Football” for HDSR.