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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.
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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.
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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.
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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.
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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.
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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.
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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!
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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.
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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.
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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.
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