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Polling for 2024 U.S. Election: What Should Voters Look for and Trust?

Polling for 2024 U.S. Election: What Should Voters Look for and Trust?

FromHarvard Data Science Review Podcast


Polling for 2024 U.S. Election: What Should Voters Look for and Trust?

FromHarvard Data Science Review Podcast

ratings:
Length:
30 minutes
Released:
Mar 28, 2024
Format:
Podcast episode

Description

As the U.S. approaches another presidential election, many of us are contemplating our beliefs, staying informed about election news, and at times, questioning the integrity of the voting polls. This month we delve into the upcoming House, Senate, and presidential elections with the help of two political polling experts. Where can we find reliable polls amidst an ocean of information? Has the rise of AI and other technologies affected the 2024 election? How are election outcomes determined? Which voter demographics might lead to surprising election results? Join us for an insightful discussion on these topics and more on the Harvard Data Science Review Podcast.
Our guests:
Kai Chen Yeo, pollster and partner at Echelon Insights, a next-generation opinion research, analytics, and intelligence firm.
Scott Tranter, Head of Data Science at Decision Desk HQ

 
Released:
Mar 28, 2024
Format:
Podcast episode

Titles in the series (39)

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.