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

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Manage episode 409264986 series 3481544
Content provided by Harvard Data Science Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Data Science Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

  continue reading

54 episodes

Artwork
iconShare
 
Manage episode 409264986 series 3481544
Content provided by Harvard Data Science Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Data Science Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

  continue reading

54 episodes

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