When controlling shareholders 'live like kings': The case of Telecom Italia

A complex systems approach to constructing better models for managing financial markets and the economy

Ourselves and our Interactions: The Ultimate Physics Problem?

I unfortunately lost my train of thought, which results in the cut here. What I wanted to say:
"This means you can forget about the equations and just start to understand the system by looking at the interactions. You can then understand the complex system by simulating it in a computer. As an example, you need three simple rules to simulate swarming behavior: Move in the same direction as your neighbor, stay close to your neighbor, but avoid collisions. If you think this is no big deal, think again. No one saw this coming. And to this day no one really knows why this is the way things are. It's as if reality is giving us a big help in understanding how stuff works. Like the 'miracle' I mentioned before, those equations mirror the workings of the universe. And it gets even better, because most complex systems have this amazing property called emergence. So this means that the system as a whole suddenly starts to show a behavior which cannot be understood or predicted by looking at the components of the system."

I misspoke when I said, "Thirty-six percent of the TNCs are in the core only ... ." Instead, I meant to say, "Thirty-six percent of the TNCs are in the *center* only."

Financial World Dominated by a Few Deep Pockets

To Navigate Economic Storms We Need Better Forecasting

詹姆士．葛雷菲爾德研究的是複雜性 : 為什麼一個內部關聯的系統 -- 像是一整群的鳥 -- 它的整體性大於它的零件總和呢。而複雜性理論所帶來的結果，可以展現出我們經濟體系是如何的運作。葛雷菲爾德分享了一個開創性的研究，指出了全球經濟掌控權的流向，以及權力是如何的集中在令人震驚的極少數人之中，而這使得我們的社會極為脆弱。(拍攝於TEDxZurich)

詹姆士．葛雷菲爾德 : 誰掌控了世界?

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