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

James Glattfelder studies complexity: how an interconnected system -- say, a swarm of birds -- is more than the sum of its parts. And complexity theory, it turns out, can reveal a lot about how the world economy works. Glattfelder shares a groundbreaking study of how control flows through the global economy, and how concentration of power in the hands of a shockingly small number leaves us all vulnerable.

Who controls the world?

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