Simplifying Complexity

If you're a child born into a poor family in the United States, what are the most important factors in your life that will influence whether or not you're able to rise out of poverty? 

To answer that question, we're joined again by Matthew Jackson, William D. Eberle Professor of Economics at Stanford University, and External Faculty at the Santa Fe Institute...

When a system fails, how do you think about cause and effect? One way to consider this in complex systems is to imagine a pile of sand, and dropping one grain of sand at a time in random positions onto the pile. As time passes, you'll start to form little hills. Eventually, a grain of sand will hit one of these hills, and you get an avalanche...

When most of us think about information, we think of it as something we can possess or ‘know’. But what if it’s so much more than that?

In this episode, we’re joined by Sara Walker, Deputy Director of the Beyond Center for Fundamental Concepts in Science, Associate Professor in Earth and Space Exploration and Complex Adaptive Systems at Arizona State University, and External Faculty at the Santa Fe Institute...

Imagine you have a bar that comfortably seats 60 people, but every week, 100 people have to decide whether or not they're going to go to the bar on any given night. If too many people go, then the bar is too crowded, and everyone has a miserable night. But if not enough people go, then that's a missed opportunity to go out. This is the basis of the El Farol problem, which asks us to consider how people make this decision...

In our last episode, we talked about the four conditions of complex systems: numerosity, disorder and diversity, feedback, and non-equilibrium — and we also talked about the concept of emergence. In this episode, which is part two of our two-part series on the features of complex systems, we're joined again by Karoline Wiesner, Professor of Complexity Science in the Department of Physics and Astronomy at the University of Potsdam in Germany...

In most of our episodes so far, we've taken a single concept and looked at it through the context of a single example. But in this episode and the next, we're going to pull back the camera to get a bird's-eye view of complexity science, by exploring the features common to all complex systems.

We're joined again by Karoline Wiesner, Professor of Complexity Science in the Department of Physics and Astronomy at the University of Potsdam in Germany...

In our last episode we talked all about intelligence, specifically about what made us intelligent. In this episode we jump into artificial intelligence, and we're joined again by David Krakauer, President and William H. Miller Professor of Complex Systems at the Santa Fe Institute...

With the recent release of GPT-4, now seemed like a good time for our episodes on intelligence. And not just artificial intelligence, but intelligence in general. To help us on this journey, we're joined again by David Krakauer, President and William H. Miller Professor of Complex Systems at the Santa Fe Institute.

This episode is part one of our two-part conversation with David about intelligence. In part 2, David is going to cover artificial intelligence...

If there's one type of music that goes particularly well with complexity science, it's free jazz. The sort of jazz that you get when you put a group of musicians together without a conductor or any written music. But despite this, they still produce incredible music...

Imagine you were going to Mars with a swarm of robots, and you needed to send those robots out foraging. How would you program them? A traditional top-down approach to programming would mean programming what every single robot is going to do, and that's going to get complicated fast. 

So in this episode, we're joined by Melanie Moses, Professor of Computer Science at the University of New Mexico, and External Faculty at the Santa Fe Institute...