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How Is Science Even Possible?
How are scientists able to crack fundamental questions about nature and life? How does math make the complex cosmos understandable? In this episode, the physicist Nigel Goldenfeld and co-host Steven Strogatz explore the deep foundations of the scientific process.
The New Math of How Large-Scale Order Emerges
The puzzle of emergence asks how regularities emerge on macro scales out of uncountable constituent parts. A new framework has researchers hopeful that a solution is near.
New Proof Finds the ‘Ultimate Instability’ in a Solar System Model
For the first time, mathematicians have proved that planetary orbits in a solar system will always be unstable.
A New Idea for How to Assemble Life
If we want to understand complex constructions, such as ourselves, assembly theory says we must account for the entire history of how such entities came to be.
Work on Earth’s Climate and Other Complex Systems Earns Nobel Prize in Physics
Syukuro Manabe and Klaus Hasselmann have been honored for their work that led to reliable predictions of the effects of climate change. They will share the Nobel with Giorgio Parisi, who has made pioneering studies of chaotic physical systems.
The Year in Biology
While the study of the SARS-CoV-2 virus was the most urgent priority, biologists also learned more about how brains process information, how to define individuality and why sleep deprivation kills.
Complexity Scientist Beats Traffic Jams Through Adaptation
To tame urban traffic, the computer scientist Carlos Gershenson finds that letting transportation systems adapt and self-organize often works better than trying to predict and control them.
Rapid Oxygen Changes Fueled an Explosion in Ancient Animal Diversity
Skyrocketing animal diversity a half-billion years ago was linked to spikes and dips in marine oxygen levels, according to a detailed geological study.
Smarter Parts Make Collective Systems Too Stubborn
As researchers delve deeper into the behavior of decentralized collective systems, they’re beginning to question some of their initial assumptions.