sfi-complexity-mooc
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davidrpugh
A Python-based course on Complexity Economics developed for the Santa Fe Institute (SFI).
Adding a notebook to reproduce the findings of "Leverage Causes Fat Tails and Clustered Volatility" by Thurner, Farmer, and Geanakoplos. It also contains suggestions for questions. Should be streamlined with...
I would suggest looking at what the INET curriculum people are doing. There's a good chance to get positive externalities by cross referencing each other's courses.
I do agree that the Input Output Network papers by Acemoglu et al and Bouchaud et al are most likely way too advanced for the MOOC. This is hard to...
In my opinion, the work of Herbert Simon must be very prominent in a complexity economics course. At least the size distribution model, the Simon-Ando near-decomposability, and the work with...
The whole evolutionary and schumpeterian economics should definitely be there somehow. As the course seems paper-based and model-based, perhaps some industrial dynamics models from Nelson and Winter would be good....
I think there should be one lecture on innovation itself. It is a micro thing so putting it with growth is not ideal I think; you'd go straight to technology...
An important point is that you should make clear that people need a minimum of economics background. At the very least Micro 1 and/or some Introduction to Economics like Nordhaus-Samuelson....
My general comment would be that it seems quite supply-driven, instead of student-oriented. Maybe that is fine, because it is a MOOC. I can't say. But it makes it very...
I think it's a good idea to start out with different models of expectations, that should allow to draw some pretty clear distinctions between Complexity and Neoclassical Econ. Be careful...
The Game Theory part should probably also start with a bit of a softer introduction instead of starting out with the Farmer & Galla Model, which is quite advanced.
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A Python-based course on Complexity Economics developed for the Santa Fe Institute (SFI).