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Masterminds and Mindware for Agentic AI: Contextualized and Applied
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Digital Twins and Virtual Twins: What Are They and What Do They Do for Humans?
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Tracking the Most Intoxicating Data: A Conversation With Eric LeVine
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Learning With AI: What It Means for Students, Teachers, and Parents
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AI Won’t Take Your Job (But It Might Change It)
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Better Data Science and AI Technologies for Better Vine and Wine?
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Food for Thought: What Does the Data Say About Food Dye Safety?
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The Deep Trouble of Deepfake: What Can or Should We Do?
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What Are Tariffs and How Do They Impact Us? Another Conversation with Andrew Lo
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Getting Refreshing Advice: Sound Data for Sounder Sleep?
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The Most Data-Driven Formula for Success: Formula 1
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Can AI Enhance My Rizz?
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Wrist Deep in Data: A Conversation With WHOOP Founder Will Ahmed
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Artificial Intelligence or Artificial Creativity: Which Strikes the Right Chord?
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Data Are Born to Reveal: So What Can They Tell Us About Pregnancy?
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Digesting 2024 Election Polls: How the Media Reports and Decodes the Numbers
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If You Want to Be a Data Scientist (or a Player) for the NFL, This Is for You…
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I Can’t Believe I Got Hacked! What Can We Do About Cybersecurity?
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How Many Glasses of Wine a Day Keeps the Doctor Away?
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AI and Elections: A Conversation with Secretary Steve Simon of Minnesota
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Future Shock: Grappling With the Generative AI Revolution
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ChatGPT in the Classroom: Breeding More Cheaters or Better Learners?
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Polling for 2024 U.S. Election: What Should Voters Look for and Trust?
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What Does AI Buy Us or Cost Us? Views From the Financial Industry
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In God We Trust: Everyone Else Must Bring Data or Liberty
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Celebrating Holidays and Milestones of HDSR
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Policing the Predictive Policing: The Promises and Perils of AI Technologies
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Close to Refuge: Integrating AI and Human Insights for Intervention and Prevention
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Out of Data Space? Explore Outer Space!
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What is Data Science?
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Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join?
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Under the Sheets: Producing, Protecting, and Probing Intimate Data
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How Do Data Help Us Weigh the Benefit, Risk, and Cost of Ozempic (and other “Magic” Drugs)?
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The Intelligence and Rationality of AI and Humans: A Conversation With Steven Pinker
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70 Years After the Kinsey Reports: Is Data Science Improving Our Sex Studies (and Lives?)
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From Financial Markets to ChatGPT: A Conversation With Andrew Lo
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I Promise to Exercise Every January: Can Data Science Help My New Year’s Resolution?
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Does Praying Work? Let’s Pray Data Science Can Help to Answer
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I Want a Perfect Face (and Bra): Can Data Science Help?
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It’s Election Time Again—Do We Predict Better This Time?
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Personalized Treatments: Is That Possible and What Can Data Science Tell Us?
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To Drink or Not to Drink: Can Data Help Us Decide?
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Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 2)
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Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 1)
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Public Opinions on Immigrants and Refugees: Does the Data Inform or Misinform Us?
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Is It a Good Idea to Legalize Marijuana? What Can Data Tell Us?
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Can or Should the Question, “Are We Alone?” be Answered by Data Alone?
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Recommender Systems: “People who listened to this episode also listened to ... “
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Dating App or Matchmaker: Will You Swipe Right?
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Data Science for Criminal Justice: Can We Avoid Black Box Algorithms for High-Stake Decisions?
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Can Data Science Help the Wine Industry (and me, to pick up a good bottle)?
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Government Data: How Do They Serve Us but Also Concern Us
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Pollsters: The Discoverers and Guardians of Public Opinion
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The Future of Artificial Intelligence: Will it be the Terminator or the Jetsons?
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Healthcare Data: Who Takes Care of it and How Healthy is it?
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Mental Health Challenges: How Can Data Science Help?
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Are you Disinformed or Misinformed?
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The Art and Value of Machine Learning in Valuing Art: Hype or Hope?
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Predicting (2021) Oscar Winners: How Crystal is the Statistical Ball?
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Tracking the (Money) Balls: How Data Science is Becoming a Game Changer
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The Data of Love
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