Harvard Data Science Review Podcast

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, CBS News’s director of elections and surveys, and Michael A. Bailey, author of Polling at a Crossroads: Rethinking Modern Survey Research. From declining response rates and changing turnout patterns to weighting, online panels, and election-night projections, Salvanto and Bailey explore what goes on behind the numbers—and why modern pollsters are increasingly also modelers. They discuss the assumptions and human judgment embedded in polling, the importance of data quality, and the challenge of measuring and communicating uncertainty when traditional measures such as the margin of error tell only part of the story.…

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, but how podcasts are researched, produced, and shared. From using AI as a research partner and production “sidecar” to generating episode summaries, newsletters, and animated video, Malone and Krohn share where AI adds real value and where they deliberately keep humans in control. The conversation tackles questions of authenticity, transparency, authorship, and trust, as well as the potential of AI-generated podcasts as personalized tools for learning. Looking ahead, they consider how AI may reshape podcasting itself: making production easier and more powerful while raising new questions about creativity, human…

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 working with industry leaders, they discuss data and AI literacy, responsible AI, organizational transformation, and the critical role of leadership in successful AI initiatives. The conversation also explores the future of enterprise AI, the value of cross-disciplinary collaboration, and how Active Industrial Learning is evolving to showcase lessons from business, education, the arts, and beyond. Whether you're leading AI initiatives, building data-driven organizations, or simply interested in how AI succeeds in practice, this episode offers valuable insights into the people, processes, and perspectives shaping the…

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 sports. From real-time player tracking and probabilistic rating systems to AI-assisted coaching and predictive modeling, the conversation examines how statistical methods continue to shape decision-making on and off the field. Glickman and Kovalchik also explore why traditional statistical models remain central to sports analytics, how access to high-quality data continues to limit innovation, and what emerging AI tools may—and may not—bring to the future of the field. The episode concludes with a look at Recreations in Randomness, HDSR’s column on the many ways data science enriches our recreational lives, and an…

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 statistical analysis of wine rankings to the psychology of taste perception, the conversation examines how experts evaluate wine and why even trained judges often disagree. Ashenfelter reflects on decades of wine tasting data and the role of probability, humility, and climate modeling in understanding wine quality, while Lin shares insights from her groundbreaking research on how music influences the perception of champagne. Together, they explore the complex relationship between sensory experience, human judgment, and data, revealing that wine may be as much about context, memory, and emotion as it is about chemistry and…

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 decisions are never purely technical—they reflect assumptions about knowledge, people, and power. Tracing AI through three historical “acts,” she challenges the idea that contemporary AI systems represent a clean break from the past. Dick also questions the pursuit of artificial general intelligence, emphasizing instead that intelligence is plural, embodied, and fundamentally relational. This conversation offers a fresh perspective for anyone building, studying, or thinking about AI today. Our guest: Stephanie Dick is an historian, speaker, and writer who works at the intersections of mathematics, computing, and artificial…

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, relationships, and the role of technology in each. The guests examine whether AI can support human flourishing—or whether it may erode the very capacities that make flourishing possible. They discuss the limits of AI in addressing deeper human longings for meaning and transcendence, the risks of replacing human connection with artificial interaction, and the ethical responsibilities of developers in shaping these tools. This episode invites listeners to reflect on what it truly means to live well in a technological age. Join in and add your voice to the conversation. The episode also highlights Dr. VanderWeele’s…

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 CEO Adam Cohen-Aslatei to examine the tension between human intuition and algorithmic matching. Drawing on decades of experience and tens of thousands of successful matches, they discuss what people say they want versus what they actually need.. From swipe data to AI-powered date coaching, this episode asks a provocative question: Can technology guide us to love, or is chemistry still beyond the reach of code? Listen in for a data-driven perspective on romance in the digital age. Our guests: Amy Andersen is the founder and CEO of Linx Dating, a private offline dating and social network located in the heart of…

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 traditional automation, why outcomes matter more than outputs, and how humans and AI agents can work together responsibly. Drawing on their long-standing work in data and AI strategy, Hofmann and Kruhse-Lehtonen offer practical insights into strategy, governance, and the evolving “mindware” required to make agentic AI deliver real value. The episode also highlights their forthcoming HDSR article, “The Agent-Centric Enterprise: Why 2–10x Productivity Gains Demand Radical Workflow Redesign,” and their joint online course with the Harvard Data Science Initiative, Agentic AI: Contextualized and Applied, which focuses on applying…

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 massive computing power converge to let us safely test ideas, anticipate disruptions, and design smarter systems. Just as importantly, the episode tackles the critical questions of ethics, privacy, and public trust, making it an essential listen for anyone interested in where data science is headed—and how it can responsibly shape the world we live in. Our guests: Rachel Franklin is the executive director of the Center for Geographic Analysis at Harvard University Patrick Johnson is the executive vice president of Corporate Research and Science at Dassault Systèmes

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 of users and billions of data points on wines, prices, and human preferences. During the conversation, they unpack the origins of CellarTracker at Microsoft, how big data and machine learning reveal trends in taste and behavior, and the use of AI to predict “Will I like this wine?” They investigate how to find your digital wine twin, data quality and privacy, and how AI could change how we buy, drink, and enjoy wine without losing the human touch. Grab a glass and join us for a thoughtful conversation about curiosity, community, and enjoying life—responsibly. Our guest: Eric LeVine is president and CEO of…

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 Education. Together, they discuss how teachers and students are using AI as a creative learning partner, the myths around AI-driven “cheating,” and how data literacy can empower the next generation. The conversation also dives into critical issues of equity, curiosity, and the evolving role of educators and parents in an AI-powered world—asking what it truly means to build a more human-centered future for learning. Tune in for an honest, hopeful look at the future of education and what it means to build a smarter, more human-centered classroom. Our guests: Chad Dorsey is president and CEO of the Concord Consortium, which…

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 the evolving skills and management strategies required in the age of AI. Join us as we take a pragmatic look at the challenges and opportunities as AI transforms how we work. Our guests: Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School, and is a co-chair of Harvard Business School’s Project on Managing the Future of Work and co-PI of the Digital Reskilling Lab. Her research focuses on managerial and organizational drivers of productivity and growth in corporations and the public sector. Ben Waber is a leading thinker at the intersection of management, data,…

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 these questions and more with industry leaders Kia Behnia, CEO and co-founder of Scout, and Katerina Axelsson, CEO and founder of Tastry. Pour yourself a glass and tune in as we uncork the intersection of data, AI, and the art of winemaking. Our Guests: Kia Behnia is CEO and co-founder of Scout, an AI-powered analytics platform built for precision viticulture, and proprietor of Kiatra Vineyards and Neotempo Wines. Katerina Axelsson is CEO and founder of Tastry, a sensory-sciences company that blends advanced analytical chemistry, machine learning, and AI to predict consumer preferences—especially in wine.

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 evidence really say about these controversial ingredients? Are recent legislative bans rooted in science, or are other factors at play? Join us as we unpack the science, the politics, and the public perception behind what we eat. Our guests: Lisa Lefferts is an environmental health consultant and former senior scientist at the Center in the Public Interest. She is the primary author of the successful petition to ban Red No. 30 and also served on the FDA's Food Advisory Committee when it considered synthetic food dyes in 2011. Marion Nestle is an American molecular biologist, nutritionist, and public health advocate. She…

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 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…

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 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.

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 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.

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 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.

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 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.

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 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…

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 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.

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 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

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-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).

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 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).…

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, 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.

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 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

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 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…

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

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 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

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 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

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, 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

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!

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 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

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, 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…

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

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,…

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 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

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 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.

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 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.

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 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…

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 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.

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. 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.

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: 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.

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 increase your quality of life, or even save it? What does the data tell us? Our guests are: Dr. Melissa Deckman, CEO of Public Religion Research Institute and political scientist studying the impact of gender, religion, and age on public opinion and political behavior. She is currently working on a book about the impact of gender on the politics of Generation Z. Her most recent book is Tea Party Women (NYU Press: 2016), which examined the role of women in conservative politics. She is also a co-author of Women and Politics, a top-selling textbook on gender politics in the United States, now in its updated fourth…

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. She earned her undergraduate degree at MIT, 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. Nini Hu, a 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.

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 Decision Desk HQ Ryan Enos, Professor of Government and Director of the Center for American Political Studies at Harvard University and co-author of Predicting the 2020 Presidential Election for HDSR Allan Lichtman, Distinguished Professor of History at American University and author of The Keys to the White House: Forecast for 2020 for HDSR. Scott Tranter, Founder and CEO of Øptimus Analytics and Decision Desk HQ and co-author of Forecasting the 2020 U.S. Elections with Decision Desk HQ: Methodology for Modern American Electoral Dynamics for HDSR.

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 clinical trials designed for a population of one person. Our guests: Dr. Karina Davidson, Senior Vice President of Research and Dean of Academic Affairs at Northwell Health Ken Cheung, Professor of Biostatistics at Mailman School of Public Health at Columbia University

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: Emmanuela Gakidou, Professor of Health Metrics Sciences and Senior Director of Organizational Development and Training at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington. Eric Rimm, Professor of Epidemiology and Nutrition and Director of the Program in Cardiovascular Epidemiology at the Harvard T.H. Chan School of Public Health and Professor of Medicine at the Harvard Medical School.