Would your question be different than the very similar ones asked during the second part of the interview?

Yes! Machine learning really should help, and it will be interesting to see what happens over the next few years. I am sure it is already being widely used, partially in the open and partially in proprietary algorithms.

I love the idea of questioning the value of classical economics ideas that don’t work!

Is your analysis of this article posted somewhere else?

Perhaps you mean Napier, not Neper?

Correct video link is https://www.labxchange.org/library/items/lb:HarvardX:9fa146f4:lx_simulation:1

I love the idea of scientists becoming better poets!

Why laughable?

Terrific post, thanks!

As you may suspect there are no "correct initial conditions"-- there are better and worse, but nothing perfect, because spacetime is never fully knowable all at once & processes effect each other across time & space. Sorry!

Thanks for this exceptionality deep post, Christina. You have given us much to think about beyond the interview!

Sorry you didn’t win the billion dollars, Florian, ;-)

Darn good question about how risk evaluation changes when the stakes change

Fantastic, I will look into this uncertainty funnel concept.

What a thoughtful post, Victoria, thanks!!

Just to clarify, what I said in class is that the election predictions meant Hillary had a 67% chance of winning while Trump had a 33% chance --and that people misinterpreted that to mean 67% of the vote and 33% of the vote. Thanks

Yes, economics might be taken down a peg if we compare it to weather or climate forecasting! And, I take your point re:Rational Choice--not as bad as Aristotle!

Thank you Hunter, this is such a well posed comment that I may ask us to talk about it more publicly in class

Please ask in class to hear more about the intersection of computational approaches and genomics! I have been working on that a bit these days

Fantastic suggestion for a follow up question!