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. Ea...
This month we are exploring emerging technologies and how they are transforming the way we approach romantic connections. How are AI tools and algorithms changing the way people meet? Can an app actually help you land more dates? And what does all of this mean for the future of dating and long-term relationships? Join us as we talk to two experts who unpack these big questions and share insights on how AI is impacting our love lives.
Our guests:
Kathryn Coduto, Assistant Professor of Media Science in the Department of Mass Communication, Advertising, and Public Relations at Boston University.
Sean Kim, Head of AI and Machine Learning at AI dating assistant app RIZZ.
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35:47
Wrist Deep in Data: A Conversation With WHOOP Founder Will Ahmed
Once thought of as a gadget of some futuristic fiction, WHOOP and other wearable devices are leading the charge in personal health from real-time data. This revolutionizes how we eat, sleep, train, and recover. This month, we delve into that process with WHOOP’s founder and CEO, Will Ahmed, who will guide us through the entire data journey—from the moment it’s captured on your wrist to the insightful metrics you see on your phone. Whether you’re a health enthusiast, an aspiring entrepreneur, or just curious about how technology is reshaping our understanding of the human body, join us for an in-depth conversation on turning data into lasting, positive change, allowing us to live happier and healthier lives.
Our guest:
Will Ahmed, American entrepreneur best known as the CEO of health wearables company WHOOP, which he founded in 2012.
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36:09
Artificial Intelligence or Artificial Creativity: Which Strikes the Right Chord?
Creativity is often believed to be a uniquely human trait, but what happens when artificial intelligence starts to blur the line between human imagination and machine innovation? For this month’s episode, we are joined by four extraordinary guests who are shaping the intersection of art, design, and technology. Together, we dive into how AI reshapes creative fields, from personalized design to algorithmic music. Can machines truly cocreate, or are they just mirroring us? And what does this mean for the future of artistic expression? Join us as we explore these thought-provoking questions on the Harvard Data Science Review Podcast.
Our guests:
CJ and Zack formed the music hacker duo DADABOTS when attending Berklee College of Music. From playing in metal, punk, and noise bands and studying composition and programming, they realized machine learning was an even more extreme way to make sound and dove completely into eliminating themselves from music. They cofounded Harmonai, the music research team within Stability AI focused on creating open-source generative AI audio tools, and created Stable Audio, which was listed in TIME Magazine's best inventions of 2023
Nini Hu, designer and art director with over 20 years of experience working with global fashion lifestyle brands and author of AI and Creativity for HDSR. Nini is also the founder of &HER, building customizable bras using AI, eco-friendly fibers, and automated production technology. &HER uses machine learning models to bring body shape and measurements directly to production.
Portrait XO, independent researcher and award-winning multimodal artist who researches computational creativity, human-machine collaboration, and explores new formats and applications through innovative audio and visual projects.
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39:45
Data Are Born to Reveal: So What Can They Tell Us About Pregnancy?
In today's digital age, where information is more accessible than ever through online platforms, many people turn to search engines like Google for answers to their medical questions and concerns. The rapidly evolving landscape of women's health—shaped by advancements in medicine, artificial intelligence, and political shifts such as the overturning of Roe v. Wade—has given rise to a flood of misinformation, disinformation, and conflicting advice. In this month’s episode, we are joined by a reproductive health specialist who helps us navigate the facts about fertility and pregnancy.
Our guest:
Dr. Lora Shahine, MD, double board-certified OB-GYN and reproductive endocrinologist at Pacific Northwest Fertility, clinical associate professor at the University of Washington, and host of the fertility podcast Baby Or Bust.
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30:25
Digesting 2024 Election Polls: How the Media Reports and Decodes the Numbers
The upcoming U.S. presidential race arrives at a time when many Americans are grappling with questions about poll accuracy and data reliability. This month, HDSR is joined by journalists Colby Hall and Leland Vittert for an in-depth look at how the media uses data to report and analyze elections and what past elections can teach us about 2024. We’ll discuss which data points are essential, how technology is reshaping polling and political reporting, what the biggest challenges are that the media faces when covering elections today compared to a decade ago, and which voter demographics could sway the 2024 election results in unexpected ways. Join us as we dive into these pressing questions and more on the Harvard Data Science Review Podcast.
Our guests:
Colby Hall, Peabody Award-winning television producer, founding editor of Mediate.com, and media contributor to NewsNation since March 2023
Leland Vittert, chief Washington anchor at NewsNation and host of On Balance with Leland Vittert
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.
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