If you've ever thought your data was hard to get, wait until you hear about shark data. We are joined by shark scientist Jaida Elcock to discuss how she gets data about sharks, why it's so difficult -- and why it's so important that we do so despite the challenges. Whether you're naturally interested in sharks, care about our planet and oceans, or just want to hear a really brilliant person talk about some truly fascinating datasets and the amazing feats she undertakes to collect them -- then you're going to love this conversation.

When we think about advances in medicine, most of us probably first picture lab coats and fancy equipment -- but as our guest, biologist Jaap de Roode, author of the extraordinary new book Doctors by Nature: How Ants, Apes, and Other Animals Heal Themselves shares, sometimes big discoveries (in medicine and beyond!) can come from looking for data in surprising new places.

Is there life in our galaxy? How would we know if we spotted it? Dr. Moiya McTier, astrophysicist and folklorist, joins us to talk about her Ph.D. research on exactly that, plus the many surprising ways we get data about our universe (plus some existential pondering, of course)! Warning: we will be talking about the vastness of space and it's no joke!

Vasant Dhar has been working on AI since way before it was cool (and before most people thought it was possible). I've admired his work for a long time and since I started this show have wanted to have him on as a guest to talk about the strengths and limitations of LLMs. A few days ago, he published an article in The Hill about how DOGE is using AI wrong, and I knew I had to talk to him immediately.

We take it as a given that Americans are politically polarized, but how do we actually know if empirically this is the case? We talk with Prof. Patrick Egan (NYU) about how we can quantify something as abstract as a political attitude, why doing so helps us understand polarization, and how all of this helps reveal opportunities where we can make progress on areas where we're most divided -- such as climate change.

ALS is a fatal motor neuron disease that has no cure and is estimated to affect hundreds of thousands of people worldwide. Why is a cure, or even a meaningful treatment, so elusive? We talk with data engineer, scientist, and rare disease advocate Danielle Boyce at ALS TDI about her work helping us all better understand this terrible illness. While the topic is grim, Danielle provides a lot of hope -- as well as inspiration to all of us to get involved in solving problems through data.

Oceans of numbers come pouring out at us each day about the big tech companies -- whether it's spending on AI, iPhone sales, Tesla stocks ... or, lawsuits against SpaceX by Cards Against Humanity? -- senior tech correspondent Rani Molla is on the case. We talk with her about how to make sense of all the numbers coming our way, the power of zooming out and getting the (literal and figurative!) big picture, and why her comparative literature degree has been a surprisingly huge asset in her numbers-centric work. Also, we find out about what the heck Elon is up to (at least with respect to some of his goings-on!).

We all have ideas about how social media and misinformation are affecting us and our world. But, as our guest Prof. Joshua Tucker explains, received wisdom is not the same thing as scientific findings. Join us for a tour de force through how to break down "social media" and "misinformation" into researchable parts that can be theoretically and quantitatively studied -- as well as some seriously surprising findings about both.

Welcome to Season 2 of Behind the Data! We're going to explore brand new topics through the powerful lens of data, find common ground on some issues that are really dividing us, and even gaze into the night sky and the deep seas -- join us for an adventure, and then some, and walk away with a brand new way of looking at the world through the shared language of data. This season you can expect episodes on misinformation, political attitudes, happiness, ALS, tech, and more.

How do we know what career/path/decision is right for us? How can data science help? In this special season 1 finale, we are joined by Megan Hellerer, career coach to luminaries such as AOC, as well as the author of Directional Living: A Transformational Guide to Fulfillment in Work and Life to discuss why traditional career advice doesn't work, why instead we should treat our daily decisions and behaviors like data to be studied, and how, once we collect that data, to conduct hypothesis tests to find further clues about what a uniquely fulfilling life might look like for each of us.

Is democracy in decline around the world? This is a major question on many of our minds, and luckily for us there are very smart, thoughtful people working on tracking (as well as explaining, understanding, and predicting!) exactly this. We are joined by professor Brigitte Seim, who is a project manager for the Varieties of Democracy (V-Dem) dataset, which is one of the biggest and most elaborate efforts to track democracy around the world to date. We discuss how to think about turning something as abstract and unwieldy as "democracy" into a number, how to make sense of and learn from those numbers, and about her own research on the growing importance of measuring toxic political speech online to understanding the health of democracy.

Approximately ten billion different narratives about what happened in the recent US presidential election have emerged since said election. But how many of these narratives can be substantiated by data? How can we tell?

Political scientist Seth Masket joins us to discuss how to make thoughtful inferences from this data, how and why to be skeptical of evidence-free opinions, and the importance (just like in the last episode!!) of being thoughtful about whether our narratives are based on data or we (or others who are trying to persuade us of something) are simply trying to pick data to support our narrative(s). Stick around until the end to hear how polls did and Seth's thoughts on why everything feels so politically bad these days.

Dr. Steven Novella, clinical neurologist and host of The Skeptics' Guide to the Universe podcast joins us to share how he collects and analyzes data when he works with patients (there is so much more going on than I realized!) as well as how AI can hopefully improve the practice of medicine if we get it right. It's a longer episode than usual, but I hope you'll agree it's well worth it.

Science journalist and athlete Christie Aschwanden takes us inside the not-so-scientific world of the fitness and health data that's tracked by various apps we probably own and/or are tempted to buy, and she helps us more carefully discern what's actually useful to follow and what we're better off ignoring. Plus -- an existentially (and scientifically!) important discussion about the power of uncertainty (and why it doesn't have to feel bad)

When we think of data and movies the first (and maybe only) thing that comes to mind for many of us is movie reviews. But there is so much more we can learn about movies and ourselves if we just think outside the box a little bit and apply data and scientific thinking in creative ways. We talk with Walt Hickey, author of the book You Are What You Watch: How TV and Movies Affect Everything, about all kinds of exciting applications of data to track how movies affect us physically and emotionally, the value of exporting (and importing) culture internationally, whether superpowers predict evilness, how the plots of many movies have changed over time, why we like what we like, and how movies can change our entire life trajectory. Plus, prepare to learn why we should all watch Titanic again, as well as maybe consider (gasp) ignoring reviews of movies altogether.

Crime data is all over the news these days and, at least in the United States, it seems like you can tell any story you want to about whether crime is going up or down and whose fault it is. How should we be thinking about this data to figure out of what's really going on? We speak with Jeff Asher, crime data analyst and co-founder of JH Datalytics, which recently launched the Real-Time Crime Index, about where crime data comes from, why everyone seems to be disagreeing about it, and how to think and talk about it more clearly.

Political polls are in our faces these days whether we want them or not -- especially if you're in the US during election season. We talk with polling expert and database journalist Dhrumil Mehta of Columbia University (formerly Nate Silver's FiveThirtyEight) about how to think about polls. Are they all just noise? Do they tell the future? Something in the middle? Join us to explore where political polls come from, how to evaluate them, and how to make the most of the information they offer.

This is a short preview of what to expect in season 1! We'll have eight episodes coming out Mondays, beginning Oct. 28 with two episodes, and six weekly episodes after that through Dec. 9. We'll cover topics from political polls to crime data, from fitness apps to medical data, and from TV & movies to the health of democracy, and more! Join us to go to the root of the technological revolutions happening all around us -- as well as learn a bit more about ourselves along the way