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Eion Explainer: Learning Curves | Innovation physics | Eion Carbon

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In my closing weeks of grad school I got to study at the Santa Fe Institute, and it was something of an epiphany. I had spent a significant portion of my time in grad school studying the branching patterns of trees, what they call allometry, as a way to understand what the Earth looks like from space. The pre-eminent authors of this work were at SFI, Geoffrey West and Brian Enquist, and they derived all sorts of equations that told you exactly what the surface area of a twig ought to be, based on the trunk diameter. I spent grad school going deep into How – – how do I measure this? how do I simulate this? how does evaporation from grassland change the cloudiness of the sky above? And when I looked at equations, I was looking for How. What SFI introduced me to was Why. An equation isn’t there to make it easy to code something up, an equation is there to tell you why nature takes that expression at all. I bathed in (and nearly drowned in) this Why at the EEB department at Princeto

Eion Explainer: Learning Curves | Innovation physics | Eion Carbon Skip to content Eion Explainer: Learning Curves | Innovation physics By Adam Wolf, Eion CEO In my closing weeks of grad school I got to study at the Santa Fe Institute, and it was something of an epiphany. I had spent a significant portion of my time in grad school studying the branching patterns of trees, what they call allometry , as a way to understand what the Earth looks like from space. The pre-eminent authors of this work were at SFI, Geoffrey West and Brian Enquist, and they derived all sorts of equations that told you

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