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PODCAST

Harvard Data Science Review Podcast

Harvard Data Science Review

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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All Episodes

30:58

Differential Privacy for the 2020 U.S. Census: Can We...

Harvard Data Science Review Podcast ·

2022/07/29

While most Americans have heard of the U.S. Census and understand that it is designed to count every resident in the United States every 10 years, many may not realize that the Census’s role goes far beyond the allocation of seats in Congress. For this episode, we invited the three co-editors of Harvard Data Science Review’s special issue on the U.S. Census to help us explore what the Census is, what it’s used for, and how the data it collects should remain both private and useful. Our guests

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37:44

Public Opinions on Immigrants and Refugees: Does the...

Harvard Data Science Review Podcast ·

2022/06/29

In this episode we dive into the data on refugees and immigration. American public opinion seems very divided on these issues, but is it really? Is the U.S. more or less welcoming to refugees and immigrants than other parts of the world? How has disinformation influenced politics? Will the U.S. Southern Border, Ukraine, and other potential refugee crises affect the upcoming political elections in the U.S.? We bring in two experts to help discuss: Professor Katharine Donato holds the Donald G

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35:17

Is It a Good Idea to Legalize Marijuana? What Can...

Harvard Data Science Review Podcast ·

2022/05/25

In this episode we discuss the hotly debated topic of marijuana legalization. While 18 states have legalized recreational marijuana and the United States House of Representatives just passed a landmark marijuana legalization bill, cannabis is still an illegal substance under federal law in the United States. With the help of two experts, we dive into the data behind the arguments for and against the legalization of marijauna. Our guests: Dr. Silvia Martins, MD, PhD, Director of the Substance Use

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40:21

Can or Should the Question, “Are We Alone?” be...

Harvard Data Science Review Podcast ·

2022/04/22

Does life exist elsewhere in the universe? It's a question as old as time. On this month’s episode of the HDSR podcast we find out everything there is to know about life beyond earth by talking to the foremost experts who seek data and evidence to investigate the question, “Are we alone?” Our guests are: Abraham (Avi) Loeb, the Frank B. Baird, Jr., Professor of Science at Harvard University, Director of the Galileo Project and the Black Hole Initiative at Harvard University, and the bestselling

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34:42

Recommender Systems: “People who listened to this...

Harvard Data Science Review Podcast ·

2022/03/25

Recommender systems have become omnipresent in our everyday lives exemplified by Netflix telling us what movies to watch, to Amazon suggesting which books we should read, to Instacart promoting specific brands we must buy. We are constantly being influenced and seduced by these algorithms and the humans who designed them. On this month’s HDSR podcast we examine the pros and cons of recommender systems as well as the art, passion, and creativity that can be lost when we rely too heavily on them. Our

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36:29

Dating App or Matchmaker: Will You Swipe Right?

Harvard Data Science Review Podcast ·

2022/02/14

Love is the topic of this Valentine’s Day episode of the HDSR Podcast. How do you find it and how do you make it last? Dating apps are a commonplace way for couples to meet and relationships to form, but do they help to make real love connections? With the help of two experts, we dive into the world of dating apps and discover how they can help and hinder your search for love. We also explore matchmaking services and discuss how working with a professional matchmaker might be more effective in

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41:21

Data Science for Criminal Justice: Can We Avoid Black...

Harvard Data Science Review Podcast ·

2022/01/25

In this episode we examine the use of secret or black box algorithms for high-stake decisions, particularly in the criminal justice system. How do they factor in the decisions made every day by state and federal courts concerning bail, sentencing, and parole? Are black box algorithms fair and unbiased? Do they help counteract or support societal prejudices? Is their use in criminal justice cases serving the public’s best interest? We discuss these issues and more with two experts on the topic:

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37:27

Can Data Science Help the Wine Industry (and me, to...

Harvard Data Science Review Podcast ·

2021/12/16

‘Tis the season to be merry and bright, and doesn’t a glass of wine go a long way to help ring in the festivities? We think so because this month's episode of the HDSR Podcast is devoted to the wine industry – from production to consumption. We discuss the impact of COVID on the global supply chain, the idiosyncrasies of local government regulations, the effects climate change is having on traditional and emerging grape growing regions, how winemakers use data analysis, and most important, what

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35:15

Government Data: How Do They Serve Us but Also...

Harvard Data Science Review Podcast ·

2021/11/19

On this episode we examine how the U.S. government collects data to serve the public and how to ensure such a process does not hurt the people it aims to serve. We discuss the good, the bad, and the ugly sides of this topic including privacy issues, the 2020 U.S. Census, how well-intended methods may adversely affect minority populations, and why it’s important for local communities to collect and report their own data. We also ask how transparent should the federal government be about its data

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43:44

Pollsters: The Discoverers and Guardians of Public...

Harvard Data Science Review Podcast ·

2021/10/21

This episode focuses on the art and science of measuring public opinion. We discuss the challenges pollsters face when trying to predict how public opinion may change over time, review both the innovative and time-tested methods of polling and discover which recent polls have revealed the most surprising data. Our guests are Kristen Soltis Anderson, pollster, speaker, commentator, author and co-founder of Echelon Insights, an opinion research and analytics firm; and Cliff Young, President of US

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39:40

The Future of Artificial Intelligence: Will it be the...

Harvard Data Science Review Podcast ·

2021/09/16

On this episode we explore all things AI with our guests Kathleen Walch and Ron Schmelzer, hosts of the popular AI Today podcast and principal analysts and managing partners of Cognilytica, an AI research and advisory firm. With Kathleen and Ron, we discuss the spread of AI in our lives, from autonomous vehicles to Taco Bell’s new automatic drive thru lanes. But has too much been promised and not delivered? Are we on the brink of an AI winter, where development and investment cool down? We look at

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35:16

Healthcare Data: Who Takes Care of it and How...

Harvard Data Science Review Podcast ·

2021/08/19

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,

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29:03

Mental Health Challenges: How Can Data Science Help?

Harvard Data Science Review Podcast ·

2021/07/16

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

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42:11

Are you Disinformed or Misinformed?

Harvard Data Science Review Podcast ·

2021/06/17

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

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37:22

The Art and Value of Machine Learning in Valuing Art:...

Harvard Data Science Review Podcast ·

2021/05/20

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.

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27:57

Predicting (2021) Oscar Winners: How Crystal is the...

Harvard Data Science Review Podcast ·

2021/04/15

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

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28:27

Tracking the (Money) Balls: How Data Science is...

Harvard Data Science Review Podcast ·

2021/03/19

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”

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26:16

The Data of Love

Harvard Data Science Review Podcast ·

2021/02/12

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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58 results

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