Harvard Data Science Review Podcast
The Harvard Data Science Review podcast examines news, policy, and business through the lens of data science. Each episode serves as a case study illustrating how data can be used to lead, mislead, manipulate, and inform important decisions. The show aims to provide insight into the role of data in shaping contemporary issues.
Episodes
From Polling to Prediction Markets: How Reliable Can We Predict Elections?
This latest episode of the Harvard Data Science Review Podcast takes a closer look at election polling: how polls are conducted, what they can tell us about voters, and why measuring public opinion has become increasingly challenging. In advance of the Harvard Political Analytics 2026 conference, hosts Liberty Vittert Capito and Xiao-Li Meng are joined by two conference speakers: Anthony Salvanto,
The Impact of AI on Podcasts: From Linear Digression to SuperDataScience
This month’s episode of the Harvard Data Science Review Podcast turns the microphone on two people who regularly bring data science, machine learning, and AI to podcast audiences: Katie Malone, host of Linear Digressions, and Jon Krohn, host of SuperDataScience and co-founder and CEO of AI software company Y Carrot. They join us to explore how AI is transforming not only what podcasters talk about
Active Industrial Learning: What We've Learned—and What We'd Like to Learn From You
This month’s episode of the Harvard Data Science Review Podcast takes listeners behind the scenes of Active Industrial Learning, HDSR’s column exploring how data science and AI are applied in real organizations. We speak with column co-editors Hamit Hamutcu and Miguel Paredes about the challenges of translating data science theory into practical business impact.
Drawing on their experiences workin
Recreations in Randomness: From Glicko Rating to World Cup
This month’s episode of the Harvard Data Science Review Podcast explores the rapidly evolving world of sports analytics and how advances in data science are transforming the way we understand competition. We are joined by Harvard statistician Mark Glickman, creator of the Glicko rating system, and sports statistician Stephanie Kovalchik to discuss the technologies, models, and data driving modern
The Judgment of Paris at 50: Wine, Wisdom, and What We Still Don’t Know
This month’s episode of the Harvard Data Science Review Podcast uncorks the fascinating intersection of wine, judgment, and data science. Economist and wine expert Orley Ashenfelter and Master of Wine Susan Lin join us to explore the enduring legacy of the 1976 “Judgment of Paris,” the blind tasting that reshaped perceptions of wine quality and transformed the global wine industry.
From statistic
What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick
What can history teach us about today’s AI revolution? In this month’s episode of the Harvard Data Science Review Podcast, we are joined by Stephanie Dick, a historian of science and technology, to explore how past ideas about knowledge and intelligence shape today’s AI systems.
Drawing on examples from early AI, including facial recognition and police databanks, Dick shows that technical decisio
Spiritual Enlightenment and AI Enhancement: Can They Align?
In this month’s episode of the Harvard Data Science Review Podcast, we explore a timeless yet increasingly urgent question: What does it mean to flourish as a human being in an age of artificial intelligence?
We are joined by experts Noreen Herzfeld and Tyler VanderWeele, who together bring empirical, philosophical, and theological perspectives to a wide-ranging conversation on human well-being, r
Better Data, Better Date?
This month on the Harvard Data Science Review Podcast, we explore the data behind modern dating. With millions of swipes happening daily, dating apps promise compatibility through algorithms—but do they really optimize for lasting connection?
Host Liberty Vittert-Capito and guest co-host and HDSR column editor Miguel Paredes sit down with Linx Dating Founder and CEO Amy Andersen and Three Day Rule
Masterminds and Mindware for Agentic AI: Contextualized and Applied
Agentic AI is moving beyond assistive tools toward systems that can reason, plan, and act within complex workflows. In the latest episode of the Harvard Data Science Review Podcast, we speak with Dirk Hofmann and Ulla Kruhse-Lehtonen, co-founders and co-CEOs of DAIN Studios, about what this shift means for organizations in practice.
The conversation explores how agentic AI differs from traditiona
Digital Twins and Virtual Twins: What Are They and What Do They Do for Humans?
In this month’s episode of the Harvard Data Science Review Podcast, we explore the rapidly evolving concept of digital twins—dynamic, data-driven replicas of complex systems—and their growing influence across engineering, cities, healthcare, and society at large. Blending real-world case studies with big-picture insight, the discussion highlights how real-time data, sophisticated models, and massi
Tracking the Most Intoxicating Data: A Conversation With Eric LeVine
Fine wine meets data science in this month’s episode of the Harvard Data Science Review Podcast. Hosts Liberty Vittert Capito and Xiao-Li Meng explore how data, taste, and technology intertwine with Eric LeVine, founder of CellarTracker, the world’s largest community-driven wine database. What began as a personal project for managing a home cellar has evolved into a global platform with millions o
Learning With AI: What It Means for Students, Teachers, and Parents
Artificial intelligence has made its way into the classroom—bringing excitement, confusion, and big questions about the future of learning. In this month’s episode of the Harvard Data Science Review Podcast, we explore how AI is transforming education with guests Chad Dorsey, president and CEO of the Concord Consortium, and Victor Lee, associate professor at the Stanford Graduate School of Educati
AI Won’t Take Your Job (But It Might Change It)
Will AI replace us, reshape our work, or create opportunities we’ve never imagined? For this month’s episode experts Ben Waber and Raffaella Sadun join the podcast to help us cut through the hype and discuss AI’s real impact on jobs, skills, and organizations. Drawing from research and industry experience, they tackle the myths of total automation, the need for firm-specific experimentation, and t
Better Data Science and AI Technologies for Better Vine and Wine?
This month, we explore how data science and AI are transforming the wine industry—from vineyard planting and grape harvesting to customer engagement. Can advanced technologies help winemakers enhance quality, promote sustainability, and better match wines to consumers—all while preserving the essential human touch? Might these innovations be applied to other products as well?
Join us as we discuss
Food for Thought: What Does the Data Say About Food Dye Safety?
This month, we’re taking a closer look at what’s on your dinner plate. From brightly colored cereals to shelf-stable snacks, food dyes, preservatives, and ultra-processed foods are found everywhere. But are they safe? Are they necessary—or could they actually be harmful? In this episode, we speak with leading experts in food science and public health to separate fact from fear. What does the evide
The Deep Trouble of Deepfake: What Can or Should We Do?
Once the stuff of science fiction, deepfake technology has rapidly become one of the most powerful—and consequential—applications of generative AI, blurring the line between reality and illusion and reshaping how we trust what we see and hear online. This month we delve into this phenomenon with Professor Hany Farid, a pioneer in digital forensics, and Professor Siwei Lyu, whose lab develops stat
What Are Tariffs and How Do They Impact Us? Another Conversation with Andrew Lo
This month, we welcome back one of our most popular guests—MIT Professor Andrew Lo—for an insightful exploration into the complexities of tariffs. In this episode, we break down what tariffs are, how they work, and their far-reaching economic and political impacts. Our conversation delves into the challenges of predicting tariff outcomes, the need for better data-driven policies, and offers practi
Getting Refreshing Advice: Sound Data for Sounder Sleep?
This month we explore sleep, which is at the center of some of the most exciting developments in data science and health research. Joining us is Dr. Rebecca Robbins, sleep expert and co-author of Sleep for Success!, whose work explores how we can unlock better sleep and healthier lives. From wearable tech and machine learning to behavioral changes, we explore the evolving landscape of sleep resear
The Most Data-Driven Formula for Success: Formula 1
This month, we're delving into the thrilling world of Formula 1 racing—a high-octane blend of speed and data analytics that drives innovation both on and off the track. Joining us is Rob Smedley, renowned F1 race engineer and strategist with extensive experience at Ferrari, Williams, and the Formula One Group. We'll discuss Rob's journey into this fascinating sport, how data shapes race strategies
Can AI Enhance My Rizz?
This month we are exploring emerging technologies and how they are transforming the way we approach romantic connections. How are AI tools and algorithms changing the way people meet? Can an app actually help you land more dates? And what does all of this mean for the future of dating and long-term relationships? Join us as we talk to two experts who unpack these big questions and share insights o
Wrist Deep in Data: A Conversation With WHOOP Founder Will Ahmed
Once thought of as a gadget of some futuristic fiction, WHOOP and other wearable devices are leading the charge in personal health from real-time data. This revolutionizes how we eat, sleep, train, and recover. This month, we delve into that process with WHOOP’s founder and CEO, Will Ahmed, who will guide us through the entire data journey—from the moment it’s captured on your wrist to the insigh
Artificial Intelligence or Artificial Creativity: Which Strikes the Right Chord?
Creativity is often believed to be a uniquely human trait, but what happens when artificial intelligence starts to blur the line between human imagination and machine innovation? For this month’s episode, we are joined by four extraordinary guests who are shaping the intersection of art, design, and technology. Together, we dive into how AI reshapes creative fields, from personalized design to alg
Data Are Born to Reveal: So What Can They Tell Us About Pregnancy?
In today's digital age, where information is more accessible than ever through online platforms, many people turn to search engines like Google for answers to their medical questions and concerns. The rapidly evolving landscape of women's health—shaped by advancements in medicine, artificial intelligence, and political shifts such as the overturning of Roe v. Wade—has given rise to a flood of misi
Digesting 2024 Election Polls: How the Media Reports and Decodes the Numbers
The upcoming U.S. presidential race arrives at a time when many Americans are grappling with questions about poll accuracy and data reliability. This month, HDSR is joined by journalists Colby Hall and Leland Vittert for an in-depth look at how the media uses data to report and analyze elections and what past elections can teach us about 2024. We’ll discuss which data points are essential, how te
If You Want to Be a Data Scientist (or a Player) for the NFL, This Is for You…
As September marks the start of the NFL regular season, this month's episode explores how data science and AI are used in professional football to make the sport more entertaining, competitive, and safe. How has the way data is used to enhance the game advanced? What is the most underutilized piece of data that could offer teams a significant advantage? How do teams balance human instinct with AI-
I Can’t Believe I Got Hacked! What Can We Do About Cybersecurity?
In July 2024, we witnessed one of the most significant internet disruptions in history when CrowdStrike released a faulty update to its security servers. This update impacted approximately 8.5 million systems, triggering outages across various sectors, including airlines, banks, stock markets, and even government emergency services. Even once activity was restored, threat actors sought to take adv
How Many Glasses of Wine a Day Keeps the Doctor Away?
To celebrate HDSR’s 5th anniversary last month we hosted Vine to Mind, a symposium centered around wine and data science that featured leading experts from around the globe representing research and industry. The talks were so engaging that we decided to share some of the celebration with you at home. Today, we are joined by two of the esteemed symposium speakers, Laura Catena and Ahmed Tawakol, w
AI and Elections: A Conversation with Secretary Steve Simon of Minnesota
After the 2020 United States presidential election, there were widespread claims that the election was unfair, insecure, and in some instances, outright stolen. This outcry put election officials under intense scrutiny, particularly those in Secretary of State offices across the country. As we approach another presidential election season, it's crucial to address the most significant election safe
Future Shock: Grappling With the Generative AI Revolution
This month we take some time to talk in depth about what exactly generative AI is, what it can do, and what it can’t do. In this special episode, derived from a webinar titled "Future Shock: Grappling With the Generative AI Revolution," host Xiao-Li Meng collaborates with Harvard’s Graduate School of Arts and Sciences to tackle the topic of generative AI with the help of esteemed panelists and the
ChatGPT in the Classroom: Breeding More Cheaters or Better Learners?
Teaching the next generation of scholars has never been an easy task, but the recent boom of generative AI has introduced a new set of problems and opportunities for educators at all levels. This month we sit down with two experts and discuss the challenges and possibilities generative AI platforms pose for the education system. Are students becoming too reliant on technology? Will this reliance i
Polling for 2024 U.S. Election: What Should Voters Look for and Trust?
As the U.S. approaches another presidential election, many of us are contemplating our beliefs, staying informed about election news, and at times, questioning the integrity of the voting polls. This month we delve into the upcoming House, Senate, and presidential elections with the help of two political polling experts. Where can we find reliable polls amidst an ocean of information? Has the rise
What Does AI Buy Us or Cost Us? Views From the Financial Industry
The financial industry has a rich history of leveraging data for predictive purposes. From hedge funds employing regression analysis to fine-tune portfolios to individuals utilizing summary statistics in pursuit of the next groundbreaking startup, data has been a cornerstone of investment strategies for years. On today’s episode we sit down with two experts to explore how the recent surge in artif
In God We Trust: Everyone Else Must Bring Data or Liberty
After the positive reception to our first listener question episode featuring co-host Xiao-Li Meng last August, we decided to start the new year with an exclusive interview with one of our most esteemed guests yet: HDSR’s own Liberty Vittert! For this special episode, Xiao-Li is joined by guest co-host, Arianwyn Frank, a producer of this podcast, a data science undergrad at Washington University,
Celebrating Holidays and Milestones of HDSR
The HDSR podcast team wishes you happy holidays and a wonderful new year! We're grateful for the continued support and enthusiasm from you, our listeners and readers. We invite you to listen to our special holiday message from co-host Liberty Vittert and stay tuned for an exciting lineup of episodes in 2024!
Policing the Predictive Policing: The Promises and Perils of AI Technologies
In recent years, police departments nationwide have increasingly embraced data and AI tools to enhance their crime prevention, investigation, and conviction efforts. These technologies range from image analysis on body cameras to license plate trackers predicting potential involvement in drug trafficking. However, a crucial question arises: Are these technologies both accurate and fair? Is law enf
Close to Refuge: Integrating AI and Human Insights for Intervention and Prevention
According to the UN Refugee Agency, a staggering 108.4 million people were displaced from their homes by the end of 2022 due to reasons such as persecution, conflict, violence, or human rights violations. On today’s episode, we discuss the pressing issue of the global refugee crisis and how data is playing a crucial role in addressing it. To help shed light on this topic, we talk to Dr. Seema Iyer
Out of Data Space? Explore Outer Space!
In recent years, our fascination with the cosmos has reached new heights. From ground-breaking research missions to the emergence of interstellar consumerism, our universe has transformed into a thriving hub of exploration and innovation. How are we currently engaging with space and where might we be headed in terms of future interactions? What are the economic dynamics surrounding space explorati
What is Data Science?
We’ve been inundated with questions from our listeners on what defines a data scientist, how to break into analytics, and ways for the average person to assess data reliability. That is why for this month, we interview our very own Xiao-Li Meng, who has contemplated many such questions during his distinguished career. In this episode we delve into Xiao-Li’s personal journey—notably being named the
Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join?
In 2022, the sports analytics sector was valued at 2.98 billion USD and is expected to grow to 22.13 billion USD by 2030, at a CARG of 28.7% (source). In today's episode, we do a deep dive into this rapidly growing field from both industry and academic perspectives. What metrics do companies and researchers use to predict the next big winner? How are statistical tools and modeling applied differen
Under the Sheets: Producing, Protecting, and Probing Intimate Data
How can the data collected by AI sex toys be used to help understand a wide variety of medical conditions and prescription side effects? Are companies storing and selling your most intimate data? When in your life is tracking your sexual satisfaction most important? In March we covered the Kinsey report for its 75th anniversary and discussed ways we conduct sex research in the present day. In resp
How Do Data Help Us Weigh the Benefit, Risk, and Cost of Ozempic (and other “Magic” Drugs)?
Why are we seeing an unprecedented rise in prescription drug use in the U.S.? Is Ozempic really the magic cure for weight loss? How has the landscape of prescription medicine changed over time, and why are currently facing supply issues? On today’s episode, we explore hotly debated drugs and what the data says about prescribing them.
Our Guests:
Dr. Heather Levites, fellowship-trained plastic surg
The Intelligence and Rationality of AI and Humans: A Conversation With Steven Pinker
This month, we are diving into the important and currently hot topic of artificial intelligence. Do we think rising platforms like ChatGPT are going to be running the world anytime soon? Does technology not only have the ability to be intelligent, but also rational? In this episode we get the pleasure of discussing these issues with Steven Pinker, an experimental cognitive psychologist and a popul
70 Years After the Kinsey Reports: Is Data Science Improving Our Sex Studies (and Lives?)
On today’s episode we commemorate the publication of the Kinsey Reports, two scholarly books by Alfred Kinsey on human sexual behavior, Sexual Behavior in the Human Male (1948) and Sexual Behavior in the Human Female (1953). These reports were among the earliest research studies to look at sexual behavior, but they also raise important questions for the data science community concerning ethics and
From Financial Markets to ChatGPT: A Conversation With Andrew Lo
What can data tell us when it comes to how our money is invested? Are there data science tools that can help us manage the ups and downs of the financial markets? How has machine learning impacted forecasting? Can we rely on AI for investment advice? On today’s episode we explore these questions and more during a deep dive discussion on financial markets with our expert guest, Professor Andrew Lo.
I Promise to Exercise Every January: Can Data Science Help My New Year’s Resolution?
It's the post-holiday season and the time when people are focused on self-improvement and getting in shape for the new year. But how do we keep and meet our fitness goals? How many days a week should we exercise? Do diet and food tracking apps actually work? In this episode we explore the data on fitness and health and discover successful strategies for keeping those New Year’s goals.
Our guests
Does Praying Work? Let’s Pray Data Science Can Help to Answer
For centuries religion has played an important role in shaping our society as a whole and determining the basis of life/purpose for individuals. Whether it’s several daily prayers, Sunday church, or the determination of what time you can eat, religion dictates day-to-day life for many. In this episode, we explore religion’s relationship to health and civic society. Can religious practices deeply
I Want a Perfect Face (and Bra): Can Data Science Help?
In this month’s episode, we dive into the glamorous side of data science by exploring the ways the field is being integrated in the beauty and fashion industries. We talk to two experts, a plastic surgeon and a fashion designer, about the tools and techniques they use.
Our guests are:
Dr. Heather Levites, a fellowship-trained plastic surgeon with a special interest in advanced cosmetic surgery. Sh
It’s Election Time Again—Do We Predict Better This Time?
With the 2022 U.S. midterms right around the corner, this month’s podcast is all about elections. Who is going to win and why? In today's episode, we talk to four experts about their predictions for the upcoming midterm elections in November and how these elections might impact the presidential race in 2024.
Our guests are:
Caroline Carlson, Senior Data Science Analyst at Dynata and Analyst for D
Personalized Treatments: Is That Possible and What Can Data Science Tell Us?
Today we discuss the most important element of our lives: our health. We do so by diving into personalized medicine, or more specifically, personalized (N-of-1) trials – clinical trials in which a single patient is the entire trial. For this episode, we invited two editors of Harvard Data Science Review’s special issue on N-of-1 trials and data science to help us examine all aspects of these clin
To Drink or Not to Drink: Can Data Help Us Decide?
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:
Emm
Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 2)
For today’s episode we embark on part two of our discussion on the U.S. Census.
Protecting the data privacy of survey respondents has always been a central consideration for the U.S Census Bureau, and throughout its history, many methods have been developed and implemented. For the 2020 Census, the Bureau adopted a new form of privacy protection—differential privacy which was received with mixed
Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 1)
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,
Public Opinions on Immigrants and Refugees: Does the Data Inform or Misinform Us?
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
Is It a Good Idea to Legalize Marijuana? What Can Data Tell Us?
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
Can or Should the Question, “Are We Alone?” be Answered by Data Alone?
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, Direc
Recommender Systems: “People who listened to this episode also listened to ... “
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 sys
Dating App or Matchmaker: Will You Swipe Right?
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 m
Data Science for Criminal Justice: Can We Avoid Black Box Algorithms for High-Stake Decisions?
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
Can Data Science Help the Wine Industry (and me, to pick up a good bottle)?
‘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 tradi
Government Data: How Do They Serve Us but Also Concern Us
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
Pollsters: The Discoverers and Guardians of Public Opinion
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-f
The Future of Artificial Intelligence: Will it be the Terminator or the Jetsons?
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
Healthcare Data: Who Takes Care of it and How Healthy is it?
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 Int
Mental Health Challenges: How Can Data Science Help?
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
Are you Disinformed or Misinformed?
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 question
The Art and Value of Machine Learning in Valuing Art: Hype or Hope?
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,
Predicting (2021) Oscar Winners: How Crystal is the Statistical Ball?
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 Zauzm
Tracking the (Money) Balls: How Data Science is Becoming a Game Changer
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 autho
The Data of Love
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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