
Brought to you by the award winning journal, Harvard Data Science Review, our podcast highlights news, policy, and business through the lens of data science. Each episode is a “case study” into how data is used to lead, mislead, manipulate, and inform the important decisions facing us today.
Episodes

Monday Mar 31, 2025
The Most Data-Driven Formula for Success: Formula 1
Monday Mar 31, 2025
Monday Mar 31, 2025
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.
8 days ago
Seems to me this misses a major point, which as an engineer & former (amateur) racing driver seems to me vital: how does a racing team make sense out of that data deluge? That’s a problem that both scientists & engineers deal with constantly. I was kinda surprising it didn’t come up except quite peripherally (., in terms of the driving styles & preferences of, ., Fernando Alonso.