The two key insights discussed are the limitations of one-dimensional thinking leading to the development of one-dimensional toolkits for problem-solving, thus necessitating new methods to capture the richness of reality. Additionally, the emphasis is placed on moving beyond equilibrium thinking, as many current theories focus on static equilibrium states, neglecting the dynamical nature of reality, such as economic collapse or bubbles, which are not accommodated in traditional economic theory. This highlights the need to develop mathematical methods to study out-of-equilibrium systems and consider dynamic phenomena.
What is complexity science, and why should you care about it? Well, complexity science is all about understanding the systems that are all around us — systems like the economy, your body, cities, companies, and the environment. To properly understand how these systems work, and how they fail, you need to understand complexity science. Because complexity science provides us with the underlying principles that govern these systems.
In today's episode, we speak to David Krakauer, President and William H. Miller Professor of Complex Systems at the Santa Fe Institute. He explains the underlying principles of complex systems and what they have in common — even if they all seem completely unrelated. He also talks through the history of complexity science and provides his top three takeaways on how you can start to think about complex systems.
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This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.