Harvard Data Science Review Podcast cover art

All Episodes

Harvard Data Science Review Podcast — 64 episodes

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Title
1

What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick

2

Spiritual Enlightenment and AI Enhancement: Can They Align?

3

Better Data, Better Date?

4

Masterminds and Mindware for Agentic AI: Contextualized and Applied

5

Digital Twins and Virtual Twins: What Are They and What Do They Do for Humans?

6

Tracking the Most Intoxicating Data: A Conversation With Eric LeVine

7

Learning With AI: What It Means for Students, Teachers, and Parents

8

AI Won’t Take Your Job (But It Might Change It)

9

Better Data Science and AI Technologies for Better Vine and Wine?

10

Food for Thought: What Does the Data Say About Food Dye Safety?

11

The Deep Trouble of Deepfake: What Can or Should We Do?

12

What Are Tariffs and How Do They Impact Us? Another Conversation with Andrew Lo

13

Getting Refreshing Advice: Sound Data for Sounder Sleep?

14

The Most Data-Driven Formula for Success: Formula 1

15

Can AI Enhance My Rizz?

16

Wrist Deep in Data: A Conversation With WHOOP Founder Will Ahmed

17

Artificial Intelligence or Artificial Creativity: Which Strikes the Right Chord?

18

Data Are Born to Reveal: So What Can They Tell Us About Pregnancy?

19

Digesting 2024 Election Polls: How the Media Reports and Decodes the Numbers

20

If You Want to Be a Data Scientist (or a Player) for the NFL, This Is for You…

21

I Can’t Believe I Got Hacked! What Can We Do About Cybersecurity?

22

How Many Glasses of Wine a Day Keeps the Doctor Away?

23

AI and Elections: A Conversation with Secretary Steve Simon of Minnesota

24

Future Shock: Grappling With the Generative AI Revolution

25

ChatGPT in the Classroom: Breeding More Cheaters or Better Learners?

26

Polling for 2024 U.S. Election: What Should Voters Look for and Trust?

27

What Does AI Buy Us or Cost Us? Views From the Financial Industry

28

In God We Trust: Everyone Else Must Bring Data or Liberty

29

Celebrating Holidays and Milestones of HDSR

30

Policing the Predictive Policing: The Promises and Perils of AI Technologies

31

Close to Refuge: Integrating AI and Human Insights for Intervention and Prevention

32

Out of Data Space? Explore Outer Space!

33

What is Data Science?

34

Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join?

35

Under the Sheets: Producing, Protecting, and Probing Intimate Data

36

How Do Data Help Us Weigh the Benefit, Risk, and Cost of Ozempic (and other “Magic” Drugs)?

37

The Intelligence and Rationality of AI and Humans: A Conversation With Steven Pinker

38

70 Years After the Kinsey Reports: Is Data Science Improving Our Sex Studies (and Lives?)

39

From Financial Markets to ChatGPT: A Conversation With Andrew Lo

40

I Promise to Exercise Every January: Can Data Science Help My New Year’s Resolution?

41

Does Praying Work? Let’s Pray Data Science Can Help to Answer

42

I Want a Perfect Face (and Bra): Can Data Science Help?

43

It’s Election Time Again—Do We Predict Better This Time?

44

Personalized Treatments: Is That Possible and What Can Data Science Tell Us?

45

To Drink or Not to Drink: Can Data Help Us Decide?

46

Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 2)

47

Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 1)

48

Public Opinions on Immigrants and Refugees: Does the Data Inform or Misinform Us?

49

Is It a Good Idea to Legalize Marijuana? What Can Data Tell Us?

50

Can or Should the Question, “Are We Alone?” be Answered by Data Alone?

51

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

52

Dating App or Matchmaker: Will You Swipe Right?

53

Data Science for Criminal Justice: Can We Avoid Black Box Algorithms for High-Stake Decisions?

54

Can Data Science Help the Wine Industry (and me, to pick up a good bottle)?

55

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

56

Pollsters: The Discoverers and Guardians of Public Opinion

57

The Future of Artificial Intelligence: Will it be the Terminator or the Jetsons?

58

Healthcare Data: Who Takes Care of it and How Healthy is it?

59

Mental Health Challenges: How Can Data Science Help?

60

Are you Disinformed or Misinformed?

61

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

62

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

63

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

64

The Data of Love