Harvard Data Science Review Podcast
Mental Health Challenges:  How Can Data Science Help?

Mental Health Challenges: How Can Data Science Help?

July 16, 2021

This month’s episode focuses on the increasing role of data science in the diagnosis and treatment of mental health disorders.  It explores how statistical tools like adaptive testing are being successfully deployed to rapidly identify people with high levels of depression, anxiety or suicide risk. It also examines how the data science community could further improve its efforts to support mental health research and policymaking.

Our guests are Margarita Alegria, Chief of the Disparities Research Unit, Massachusetts General Hospital and Professor, Harvard Medical School and Robert Gibbons, Professor of Biostatistics, Departments of Medicine, Public Health and Psychiatry, University of Chicago and author of Medications and Suicide: High Dimensional Empirical Bayes Screening (iDEAS) for HDSR.

 

Are you Disinformed or Misinformed?

Are you Disinformed or Misinformed?

June 17, 2021

In this episode, Harvard Data Science Review digs into the world of disinformation and misinformation, and the difference between them. Is the weaponization of both a new phenomenon or is history repeating itself? How has social media and the democratized access to published information contributed to today’s sensationalized headlines?  Hosts Xiao-Li Meng and Liberty Vittert explore these questions and more with the help of two experts on the topic, Scott Tranter, CEO and founder of Optimus Analytics and Hany Farid, Professor at the University of California, Berkeley with a joint appointment in Electrical Engineering & Computer Science and the School of Information.  

The Art and Value of Machine Learning in Valuing Art: Hype or Hope?

The Art and Value of Machine Learning in Valuing Art: Hype or Hope?

May 20, 2021

What is the value of art? Is it in the eye of the beholder or can data analytics tools place a monetary value on beauty? Hosts Xiao-Li Meng and Liberty Vittert explore the use of data and technology in the art world with guests Jason Bailey, CEO and founder of Artnome and author of “Can Machine Learning Predict the Price of Art at Auction?” for HDSR and  Dan Cameron, American art curator, writer, and educator.

Predicting (2021) Oscar Winners: How Crystal is the Statistical Ball?

Predicting (2021) Oscar Winners: How Crystal is the Statistical Ball?

April 15, 2021

What are the biggest predictors of an Oscar win?  What are the pros and cons of using quantitative vs. qualitative data? Has the film industry’s increased use of streaming services impacted Oscar predictions? Hosts Xiao-Li Meng and Liberty Vittert investigate these questions and more by speaking with two renowned Oscar awards predictors: Boston Globe film critic and columnist Ty Burr and Ben Zauzmer, author of Oscarmetrics: The Math Behind the Biggest Night in Hollywood and the HDSR article, "Oscar Seasons: The Intersection of Data and the Academy Awards".

Tracking the (Money) Balls: How Data Science is Becoming a Game Changer

Tracking the (Money) Balls: How Data Science is Becoming a Game Changer

March 19, 2021

Data science is huge in sports, and it's not just game stats anymore.  Player and ball tracking data are changing the way major sports leagues play games.

We dive into how these data are analyzed and what the results mean to coaches and teams with Kirk Goldsberry, NBA analyst at ESPN and author of “Sprawlball”, and Brian Macdonald, Faculty in Sports Analytics at Carnegie Mellon University, the author of “Recreating the Game: Using Player tracking Data to Analyze Dynamics in Basketball and Football” for HDSR.  

 

The Data of Love

The Data of Love

February 12, 2021

Xiao-Li Meng and Liberty Vittert speak with relationship experts Drs. Julie and John Gottman. Listen to find out how to ensure your relationship lasts the test of time.

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