What's up in
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.
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.
Skyrocketing animal diversity a half-billion years ago was linked to spikes and dips in marine oxygen levels, according to a detailed geological study.
As researchers delve deeper into the behavior of decentralized collective systems, they’re beginning to question some of their initial assumptions.
Jellyfish didn’t need novel genes to take an evolutionary leap in complexity.
Throughout nature, throngs of relatively simple elements can self-organize into behaviors that seem unexpectedly complex. Scientists are beginning to understand why and how these phenomena emerge without a central organizing entity.
Some researchers are using a complexity framework thought to be purely theoretical to understand evolutionary dynamics in biological and computational systems.
In new computer experiments, artificial-intelligence algorithms can tell the future of chaotic systems.
Get highlights of the most important news delivered to your email inbox