The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.
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ChatGPT in the Classroom: Breeding More Cheaters or Better Learners?
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Content provided by Harvard Data Science Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Data Science Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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 impact their critical thinking skills? How will generative AI platforms shape our students in the future? ChatGTP has raised fears of cheating on homework, but can its potential as an educational tool outweigh its risks? Stay tuned for all of this and more on the Harvard Data Science Review Podcast.
Our guests:
- Elizabeth Shulman, Adjunct Lecturer at the School of Education and Social Policy at Northwestern University, and English teacher at Evanston Township High School
- James Zou, Associate Professor of biomedical data science and Member of Stanford AI Lab at Stanford University
54 episodes
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Manage episode 414602006 series 3481544
Content provided by Harvard Data Science Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Data Science Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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 impact their critical thinking skills? How will generative AI platforms shape our students in the future? ChatGTP has raised fears of cheating on homework, but can its potential as an educational tool outweigh its risks? Stay tuned for all of this and more on the Harvard Data Science Review Podcast.
Our guests:
- Elizabeth Shulman, Adjunct Lecturer at the School of Education and Social Policy at Northwestern University, and English teacher at Evanston Township High School
- James Zou, Associate Professor of biomedical data science and Member of Stanford AI Lab at Stanford University
54 episodes
All episodes
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1 The Deep Trouble of Deepfake: What Can or Should We Do? 48:11
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Play Later Play Later Lists Like LikedOnce 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 state-of-the-art deepfake detection methods.Together, they’ll walk us through the data journey—from the vast raw data sets that fuel synthetic media to the pixel-level signatures that can unmask it. Whether you’re a computer scientist, policymaker, or simply curious about how synthetic content is transforming our information landscape, join us for an in-depth conversation about turning data into both convincing illusions and robust defenses—and learn how we can preserve trust and truth in our rapidly evolving digital world. Our guests: Hany Farid is a professor at the University of California, Berkeley, with a joint appointment in the Department of Electrical Engineering and Computer Sciences and the School of Information. He is also a member of the Berkeley Artificial Research Intelligence Lab, Berkeley Institute for Data Science, Center for Innovation in Vision and Optics, Development Engineering program, Vision Science program, and is a senior faculty advisor for the Center for Long-Term Cybersecurity. Siwei Lyu is a SUNY Distinguished Professor and a SUNY Empire Innovation Professor at the Department of Computer Science and Engineering, the director of the UB Media Forensic Lab, and founding co-director of the Center for Information Integrity at the University of Buffalo, State University of New York.…
1 What Are Tariffs and How Do They Impact Us? Another Conversation with Andrew Lo 40:11
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Play Later Play Later Lists Like LikedThis 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 practical advice for individual investors navigating periods of economic uncertainty. Join us for a fascinating deep dive into the world of economic policy Our guest: Andrew W. Lo is the Charles E. and Susan T. Harris Professor of Finance at the MIT Sloan School of Management.…
1 Getting Refreshing Advice: Sound Data for Sounder Sleep? 30:19
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Play Later Play Later Lists Like LikedThis 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 research: what the data says about our changing sleep habits, which modern sleep trends actually work (and which don’t), and how modern science intersects with an ever more tired population. Join us for an eye-opening conversation on the science of sleep. Our guest: Dr. Rebecca Robbins, Assistant Professor of Medicine at Harvard Medical School and an associate scientist at the Brigham and Women’s Hospital.…
1 The Most Data-Driven Formula for Success: Formula 1 36:07
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Play Later Play Later Lists Like LikedThis 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 and driver development, and the biggest transformations AI has brought to Formula 1. Whether you're a motorsports fan, data scientist, or simply curious about cutting-edge technology, join us to explore how data fuels Formula 1's future. Our guest: Rob Smedley, CEO and Founder of Smedley Group, an advanced technology business whose mission is to make motorsport faster, fairer, cleaner, and cheaper.…
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 on how AI is impacting our love lives. Our guests: Kathryn Coduto, Assistant Professor of Media Science in the Department of Mass Communication, Advertising, and Public Relations at Boston University. Sean Kim, Head of AI and Machine Learning at AI dating assistant app RIZZ.…
1 Wrist Deep in Data: A Conversation With WHOOP Founder Will Ahmed 36:09
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Play Later Play Later Lists Like LikedOnce 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 insightful metrics you see on your phone. Whether you’re a health enthusiast, an aspiring entrepreneur, or just curious about how technology is reshaping our understanding of the human body, join us for an in-depth conversation on turning data into lasting, positive change, allowing us to live happier and healthier lives. Our guest: Will Ahmed, American entrepreneur best known as the CEO of health wearables company WHOOP , which he founded in 2012.…
1 Artificial Intelligence or Artificial Creativity: Which Strikes the Right Chord? 39:45
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Play Later Play Later Lists Like LikedCreativity 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 algorithmic music. Can machines truly cocreate, or are they just mirroring us? And what does this mean for the future of artistic expression? Join us as we explore these thought-provoking questions on the Harvard Data Science Review Podcast. Our guests: CJ and Zack formed the music hacker duo DADABOTS when attending Berklee College of Music. From playing in metal, punk, and noise bands and studying composition and programming, they realized machine learning was an even more extreme way to make sound and dove completely into eliminating themselves from music. They cofounded Harmonai , the music research team within Stability AI focused on creating open-source generative AI audio tools, and created Stable Audio , which was listed in TIME Magazine 's best inventions of 2023 Nini Hu, designer and art director with over 20 years of experience working with global fashion lifestyle brands and author of AI and Creativity for HDSR. Nini is also the founder of &HER, building customizable bras using AI, eco-friendly fibers, and automated production technology. &HER uses machine learning models to bring body shape and measurements directly to production. Portrait XO, independent researcher and award-winning multimodal artist who researches computational creativity, human-machine collaboration, and explores new formats and applications through innovative audio and visual projects.…
1 Data Are Born to Reveal: So What Can They Tell Us About Pregnancy? 30:25
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Play Later Play Later Lists Like LikedIn 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 misinformation, disinformation, and conflicting advice. In this month’s episode, we are joined by a reproductive health specialist who helps us navigate the facts about fertility and pregnancy. Our guest: Dr. Lora Shahine, MD, double board-certified OB-GYN and reproductive endocrinologist at Pacific Northwest Fertility, clinical associate professor at the University of Washington, and host of the fertility podcast Baby Or Bust .…
1 Digesting 2024 Election Polls: How the Media Reports and Decodes the Numbers 41:04
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Play Later Play Later Lists Like LikedThe 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 technology is reshaping polling and political reporting, what the biggest challenges are that the media faces when covering elections today compared to a decade ago, and which voter demographics could sway the 2024 election results in unexpected ways. Join us as we dive into these pressing questions and more on the Harvard Data Science Review Podcast. Our guests: Colby Hall, Peabody Award-winning television producer, founding editor of Mediate.com, and media contributor to NewsNation since March 2023 Leland Vittert, chief Washington anchor at NewsNation and host of On Balance with Leland Vittert…
1 If You Want to Be a Data Scientist (or a Player) for the NFL, This Is for You… 32:32
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Play Later Play Later Lists Like LikedAs 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-driven analysis when making decisions in games? For aspiring sports analysts, what technical or soft skills and experiences are most important to develop? Listen to our fascinating discussion as we delve into the intersection of sports analytics and data science. Our guest: Michael Lopez, Senior Director of Football Data and Analytics at the National Football League (NFL).…
1 I Can’t Believe I Got Hacked! What Can We Do About Cybersecurity? 40:26
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Play Later Play Later Lists Like LikedIn 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 advantage of the situation through phishing schemes and other cyberattacks. Though caused by an internal error rather than malicious intent, incidents like CrowdStrike’s outage underscore the growing importance of reliable security measures on technologies that impact daily life. On this month’s podcast, we explore the ins and outs of cybersecurity, how cyberattacks occur, and what steps you can take to protect your data. Our guests: Milena Rodban, independent geopolitical risk consultant and former senior advisor at the National Risk Management Center at the Cybersecurity and Infrastructure Security Agency (CISA). Arun Seelagan, Senior Data Scientist at the Cybersecurity and Infrastructure Security Agency (CISA)…
1 How Many Glasses of Wine a Day Keeps the Doctor Away? 45:01
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Play Later Play Later Lists Like LikedTo 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, who help us explore the health benefits and potential drawbacks of wine. We also discuss how alcohol-related research is conducted and learn about the future of wine research. For all of this and more, stay tuned for this latest episode of the Harvard Data Science Review Podcast! Our guests: Laura Catena, Managing Director of Bodega Catena Zapata, and Founder of Catena Institute of Wine. Ahmed Tawakol, Director of Nuclear Cardiology and Co-Director of the Cardiovascular Imaging Research Center at Massachusetts General Hospital, and Associate Professor of Medicine at Harvard Medical School.…
1 AI and Elections: A Conversation with Secretary Steve Simon of Minnesota 39:03
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Play Later Play Later Lists Like LikedAfter 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 safety concerns for the 2024 presidential, Senate, and House races. This month we delve into these issues with Minnesota’s Secretary of State, Steve Simon. How does election reporting function? How will AI influence this election? Is your vote really being counted? This is a special edition of the podcast as Secretary Simon joined us for an HDSR Conversation with Leaders piece. Stay tuned for all of this and more on the Harvard Data Science Review Podcast. Our guest: Steve Simon, Minnesota’s 22nd Secretary of State…
1 Future Shock: Grappling With the Generative AI Revolution 51:22
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Play Later Play Later Lists Like LikedThis 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 three co-editors of HDSR ’s Future Shock special issue , Francine Berman, Ralf Herbrich, and David Leslie. Stay tuned for all of this and more on the Harvard Data Science Review Podcast. Our guests: Francine Berman, Edward P. Hamilton Distinguished Professor in Computer Science at Rensselaer Polytechnic Institute (RPI), and Director of Public Interest Technology and the Stuart Rice Research Professor in the College of Information and Computer Sciences at University of Massachusetts Amherst. Ralf Herbrich, Managing Director of Hasso Plattner Institute and Professor of Artificial Intelligence and Sustainability at the Hasso Plattner Institute and University of Potsdam. David Leslie, Director of Ethics and Responsible Innovation Research at The Alan Turing Institute, and Professor of Ethics, Technology and Society at Queen Mary University of London.…
1 ChatGPT in the Classroom: Breeding More Cheaters or Better Learners? 34:49
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Play Later Play Later Lists Like LikedTeaching 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 impact their critical thinking skills? How will generative AI platforms shape our students in the future? ChatGTP has raised fears of cheating on homework, but can its potential as an educational tool outweigh its risks? Stay tuned for all of this and more on the Harvard Data Science Review Podcast. Our guests: Elizabeth Shulman, Adjunct Lecturer at the School of Education and Social Policy at Northwestern University, and English teacher at Evanston Township High School James Zou, Associate Professor of biomedical data science and Member of Stanford AI Lab at Stanford University…
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1 Polling for 2024 U.S. Election: What Should Voters Look for and Trust? 29:55
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Play Later Play Later Lists Like LikedAs 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 of AI and other technologies affected the 2024 election? How are election outcomes determined? Which voter demographics might lead to surprising election results? Join us for an insightful discussion on these topics and more on the Harvard Data Science Review Podcast. Our guests: Kai Chen Yeo, pollster and partner at Echelon Insights, a next-generation opinion research, analytics, and intelligence firm. Scott Tranter, Head of Data Science at Decision Desk HQ…
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1 What Does AI Buy Us or Cost Us? Views From the Financial Industry 39:25
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Play Later Play Later Lists Like LikedThe 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 artificial intelligence has changed the investment game. Our guests: Christina Qi, CEO of Databento, Inc. Victor Lo, Senior Vice President of Data Science and Artificial Intelligence at Fidelity Investments…
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1 In God We Trust: Everyone Else Must Bring Data or Liberty 32:01
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Play Later Play Later Lists Like LikedAfter 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, and a former student of Liberty’s. Listen now to their fascinating conversation with Liberty as they discover how a woman of many talents found herself in the exciting world of data science. Our guest: Liberty Vittert, Professor of the Practice of Data Science, Olin Business School, Washington University in St. Louis; resident on-air statistician for NewsNation; and feature editor of Harvard Data Science Review…
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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!…
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1 Policing the Predictive Policing: The Promises and Perils of AI Technologies 41:29
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Play Later Play Later Lists Like LikedIn 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 enforcement adequately trained to utilize them effectively? Is legislation adapting swiftly enough to keep pace with these transformative changes? On today’s episode we engage in a conversation with a professor of law and a police chief who together provide us insights into the evolving landscape of policing technologies. Our guests: Andrew Guthrie Ferguson, Professor of Law, American University Washington College of Law Virgil Green, Chief of Police for Golden Valley, Minnesota, and co-host of “You And The Law” podcast…
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1 Close to Refuge: Integrating AI and Human Insights for Intervention and Prevention 33:08
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Play Later Play Later Lists Like LikedAccording 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, Senior Director of The Hive, USA for UNHCR’s innovation lab responsible for bringing data science, machine learning, and new technologies into the organization’s operations to enhance fundraising for refugees. During the conversation we discuss the pivotal role of data science in addressing the refugee crisis and delve into the types of data gathered to understand the needs of refugees, the challenges in utilizing this data, and the potential role of AI in facilitating new approaches. Listen now to this month's insightful episode. Our guest: Dr. Seema Iyer, Senior Director, The Hive, USA for the United Nations Refugee Agency (UNHCR)…
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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 exploration, and how might the emerging space economy affect future research? Is AI helping to unlock the secrets of the universe? On today’s episode we explore these questions and more during an out-of-this-world conversation with two distinguished experts. Our guests: Avi Loeb, Frank B. Baird Jr. Professor of Science, Director of the Institute for Theory and Computation at the Center for Astrophysics, and Founder of the Black Hole Initiative at Harvard University Kelli Kedis Ogborn, Vice President of Space Commerce and Entrepreneurship at Space Foundation…
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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 best statistician under the age of 40 by the Committee of Presidents of Statistical Societies—to becoming the founding editor-in-chief of Harvard Data Science Review. Join us as we trace the steps that led to his remarkable accomplishments and illuminate the path you can follow to understand the data that shapes our world in our very first listener question special! Our guest: Dr. Xiao-Li Meng, Founding Editor-in-Chief of Harvard Data Science Review and Whipple V. N. Jones Professor of Statistics at Harvard University. Meng has published over 150 publications. His article, “ Seeking Simplicity in Statistics, Complexities in Wine, and Everything Else in Fortune Cookies” was published in Fondata , Issue 3, Winter 2022.…
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1 Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join? 41:30
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Play Later Play Later Lists Like LikedIn 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 differently to measure an individual player’s performance versus that of a team? How does an aspiring data scientist break into the sports analytics industry? We explore these questions and more with the help of two experts. Listen now! Our guests: Dr. Mark Glickman, senior lecturer on statistics and head of the Sports Analytics Laboratory at Harvard University Michael Schwimer, founder and CEO of Big League Advantage…
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1 Under the Sheets: Producing, Protecting, and Probing Intimate Data 33:32
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Play Later Play Later Lists Like LikedHow 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 response to the positive feedback on that episode, we decided to bring on specialists from the field to talk about the future of AI and the data of sex. Our Guests: Liz Klinger, co-founder and CEO of Lioness and inventor of the Lioness AI vibrator. Justin Lehmiller, social psychologist at The Kinsey Institute and host of The Sex and Psychology Podcast.…
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1 How Do Data Help Us Weigh the Benefit, Risk, and Cost of Ozempic (and other “Magic” Drugs)? 31:29
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Play Later Play Later Lists Like LikedWhy 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 surgeon with a special interest in advanced cosmetic surgery. She earned her undergraduate degree at MIT and her MD from the State University of New York at Stony Brook, and completed her plastic surgery training at Duke University. She currently practices in Chapel Hill, North Carolina. Dr. John Schneider, Associate Professor of Otolaryngology and Division Chief of Rhinology at the Washington University School of Medicine in St. Louis.…
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1 The Intelligence and Rationality of AI and Humans: A Conversation With Steven Pinker 29:57
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Play Later Play Later Lists Like LikedThis 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 popular writer on language, mind, and human nature. Listen to the conversation and find out what happens when an expert on the human mind sits down to discuss intelligence in machines with two data scientists! Our Guest: Dr. Steven Pinker is the Johnstone Family Professor in the Department of Psychology at Harvard University. He conducts research on language, cognition, and social relations; writes for publications such as the New York Times, The Guardian, Time, and The Atlantic; and is the author of twelve books, including The Language Instinct, How the Mind Works, The Blank Slate, The Stuff of Thought, The Better Angels of Our Nature, The Sense of Style, Enlightenment Now , and Rationality: What It Is, Why It Seems Scarce, Why It Matter s .…
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1 70 Years After the Kinsey Reports: Is Data Science Improving Our Sex Studies (and Lives?) 34:01
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Play Later Play Later Lists Like LikedOn 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 bias. We explore those questions and more with the help of two experts. Our Guests: Dr. Justin Garcia, Executive Director of the Kinsey Institute and the Ruth N. Halls Professor of Gender Studies at Indiana University, and Co-Chair of Human Sexuality and Health at the Indiana University School of Medicine. Dr. Carlos Rodriguez-Diaz, Associate Professor and Vice Chair of the Department of Prevention and Community Health at the Milken Institute School of Public Health at George Washington University. Dr. Rodriguez-Diaz is also the President of the Society for the Scientific Study of Sexuality.…
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Harvard Data Science Review Podcast
1 From Financial Markets to ChatGPT: A Conversation With Andrew Lo 42:35
42:35 Play Later Play Later Lists Like Liked42:35
Play Later Play Later Lists Like LikedWhat 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. Our Guest: Andrew W. Lo is the Charles and Susan Harris Professor of Finance at the MIT Sloan School of Management, Director of the MIT Laboratory for Financial Engineering, and a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory. Professor Lo was recognized for his work on financial markets by being named one of TIMEMagazine ’s 100 most influential people in the world.…
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Harvard Data Science Review Podcast
1 I Promise to Exercise Every January: Can Data Science Help My New Year’s Resolution? 25:44
25:44 Play Later Play Later Lists Like Liked25:44
Play Later Play Later Lists Like LikedIt'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: Dr. Michele Patel, clinical psychologist and instructor at Stanford University School of Medicine who conducts research on optimizing digital health interventions for treating obesity. Her latest work focuses on identifying what exactly people should be tracking (such as their steps, diet, body weight) to promote weight loss. Erin Como, anchor/reporter with FOX 5 DC who covers the fitness and food scene in the nation's capital. Erin hosts the popular Cooking With Como series and is a co-host of the new hit show, LION Lunch Hour, airing daily at 11am EST.…
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