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?

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

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Episoder(66)

Recreations in Randomness: From Glicko Rating to World Cup

Recreations in Randomness: From Glicko Rating to World Cup

This month’s episode of the Harvard Data Science Review Podcast explores the rapidly evolving world of sports analytics and how advances in data science are transforming the way we understand competit...

30 Jun 39min

The Judgment of Paris at 50: Wine, Wisdom, and What We Still Don’t Know

The Judgment of Paris at 50: Wine, Wisdom, and What We Still Don’t Know

This month’s episode of the Harvard Data Science Review Podcast uncorks the fascinating intersection of wine, judgment, and data science. Economist and wine expert Orley Ashenfelter and Master of Wine...

1 Jun 29min

What Can We Learn From The Histories of AI:  A Conversation With Stephanie Dick

What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick

What can history teach us about today’s AI revolution? In this month’s episode of the Harvard Data Science Review Podcast, we are joined by Stephanie Dick, a historian of science and technology, to ex...

30 Apr 44min

Spiritual Enlightenment and AI Enhancement: Can They Align?

Spiritual Enlightenment and AI Enhancement: Can They Align?

In this month’s episode of the Harvard Data Science Review Podcast, we explore a timeless yet increasingly urgent question: What does it mean to flourish as a human being in an age of artificial intel...

30 Mar 34min

Better Data, Better Date?

Better Data, Better Date?

This month on the Harvard Data Science Review Podcast, we explore the data behind modern dating. With millions of swipes happening daily, dating apps promise compatibility through algorithms—but do th...

27 Feb 26min

Masterminds and Mindware for Agentic AI: Contextualized and Applied

Masterminds and Mindware for Agentic AI: Contextualized and Applied

Agentic AI is moving beyond assistive tools toward systems that can reason, plan, and act within complex workflows. In the latest episode of the Harvard Data Science Review Podcast,  we speak with Dir...

29 Jan 27min

Digital Twins and Virtual Twins: What Are They and What Do They Do for Humans?

Digital Twins and Virtual Twins: What Are They and What Do They Do for Humans?

In this month’s episode of the Harvard Data Science Review Podcast, we explore the rapidly evolving concept of digital twins—dynamic, data-driven replicas of complex systems—and their growing influenc...

23 Des 202538min

Tracking the Most Intoxicating Data: A Conversation With Eric LeVine

Tracking the Most Intoxicating Data: A Conversation With Eric LeVine

Fine wine meets data science in this month’s episode of the Harvard Data Science Review Podcast. Hosts Liberty Vittert Capito and Xiao-Li Meng explore how data, taste, and technology intertwine with E...

20 Nov 202538min

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