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 influence across engineering, cities, healthcare, and society at large. Blending real-world case studies with big-picture insight, the discussion highlights how real-time data, sophisticated models, and massive computing power converge to let us safely test ideas, anticipate disruptions, and design smarter systems. Just as importantly, the episode tackles the critical questions of ethics, privacy, and public trust, making it an essential listen for anyone interested in where data science is headed—and how it can responsibly shape the world we live in.

Our guests:

  • Rachel Franklin is the executive director of the Center for Geographic Analysis at Harvard University
  • Patrick Johnson is the executive vice president of Corporate Research and Science at Dassault Systèmes

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(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 Kesä 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 Kesä 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 Huhti 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 Maalis 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 Helmi 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 Tammi 27min

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 Marras 202538min

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