Gary Wolf: Personal Science, the Quantified Self, and Artificial Intelligence

Gary Wolf: Personal Science, the Quantified Self, and Artificial Intelligence

In this episode of the Smarter Not Harder Podcast, our guest Gary Wolf joins our host Boomer Anderson to give one-cent solutions to life’s $64,000 questions that include:

  • What is the Quantified Self movement and how does it utilize data to improve personal understanding and health?
  • How does participant-led research and personal science play a significant role in healthcare and understanding our health better?
  • What are the implications of artificial intelligence on public health and the potential role of large language models in advancing participant-led research in health decision-making?

 

Who is Gary Wolf?

Gary Wolf is the founder of the Quantified Self and the director of the nonprofit Article 27 Foundation, whose cover story in the New York Times Magazine introduced the emerging practices of self-tracking to the general public, and remains the definitive description of the Quantified Self movement. As a journalist and editor, Wolf has been covering the intersection of technology and culture for two decades, and is the author of two books: Wired – A Romance; and Dumb Money.

 

What did Boomer discuss with Gary Wolf?

01:31 - How did Gary get into Journalism?

13:26 - What is the Quantified Self Movement?

20:36 - Participant-Led Research and the Cholesterol and Triglyceride Experiment

29:25 - The Challenges of Bridging Clinical and Public Health Research with Independent Research

37:43 - Exploring the Role of AI and the Potential of Large Language Models

Find out more from Gary Wolf:

Website: https://quantifiedself.com/

 

Find more from Smarter Not Harder:

Website: https://troscriptions.com/blogs/podcast | https://homehope.org

Instagram: @troscriptions | @homehopeorg

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AI-generated responses are for informational purposes only and do not constitute medical advice. Accuracy, completeness, or timeliness are not guaranteed. Use at your own risk.

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