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Working in finance and sponsoring science aren't mutually exclusive. Some open source tools that are now mainstays in the scientific Python stack originated in
by neuromantik8086 10y ago
Working in finance and sponsoring science aren't mutually exclusive. Some open source tools that are now mainstays in the scientific Python stack originated in finance (pandas is perhaps the most prominent example). It's highly doubtful that any of these tools would have been funded using traditional grants, so... positive externalities ahoy!
Furthermore, firms such as DE Shaw and Renaissance Technologies directly impact research by funding parallel non-profit science organizations (DE Shaw Research and the Simons Foundation respectively).
So it's not really a zero sum game at all.
- jawilson2 10y agoA lot of neuroscience and financial analysis algorithms are borrowed or transitioned from one another, e.g. https://en.wikipedia.org/wiki/Granger_causality https://en.wikipedia.org/wiki/Granger_causality. That is a big reason why the transition was so easy for me. If you can develop models to use brain signals as features and predict where the arm will be in 500ms, you can do the same thing with market data.