Harvard Data Science Review Podcast热榜 - Hot点·热榜

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 ↗