The effects of drinking is a constant news headline. Every month or so, there seems to be a new study released that weighs the benefits and risks of drinking alcohol. Is some level of alcohol good for your health or should everyone completely avoid drinking? On today’s episode we invited two experts with differing views on alcohol consumption to help us examine the data and decide.
Our guests:
Emmanuela Gakidou, Professor of Health Metrics Sciences and Senior Director of Organizational Development and Training at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington.
Eric Rimm, Professor of Epidemiology and Nutrition and Director of the Program in Cardiovascular Epidemiology at the Harvard T.H. Chan School of Public Health and Professor of Medicine at the Harvard Medical School.
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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