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).