Over 30% of the world’s data is comprised of healthcare data with the U.S. government arguably collecting the largest portion. On this month’s episode of the Harvard Data Science Review Podcast, we explore all things healthcare data with the help of two experts who provide their perspectives from the public and private sectors. Our guests are Justin Fanelli, Chief Architect of Defense Medical Intelligence Data and the Technical Director at the Naval Information Warfare Center and Michelle Holko, Principal Architect Public Sector Cloud for Healthcare and Life Sciences at Google.
ChatGPT in the Classroom: Breeding More Cheaters or Better Learners?
Polling for 2024 U.S. Election: What Should Voters Look for and Trust?
What Does AI Buy Us or Cost Us? Views From the Financial Industry
In God We Trust: Everyone Else Must Bring Data or Liberty
Celebrating Holidays and Milestones of HDSR
Policing the Predictive Policing: The Promises and Perils of AI Technologies
Close to Refuge: Integrating AI and Human Insights for Intervention and Prevention
Out of Data Space? Explore Outer Space!
What is Data Science?
Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join?
Under the Sheets: Producing, Protecting, and Probing Intimate Data
How Do Data Help Us Weigh the Benefit, Risk, and Cost of Ozempic (and other “Magic” Drugs)?
The Intelligence and Rationality of AI and Humans: A Conversation With Steven Pinker
70 Years After the Kinsey Reports: Is Data Science Improving Our Sex Studies (and Lives?)
From Financial Markets to ChatGPT: A Conversation With Andrew Lo
I Promise to Exercise Every January: Can Data Science Help My New Year’s Resolution?
Does Praying Work? Let’s Pray Data Science Can Help to Answer
I Want a Perfect Face (and Bra): Can Data Science Help?
It’s Election Time Again—Do We Predict Better This Time?
Personalized Treatments: Is That Possible and What Can Data Science Tell Us?
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