📄 Extracted Text (553 words)
From: Joichi Ito <
Sent: Thursday, February 19, 2015 2:28 AM
To: Barnaby Marsh
Cc: Jeffrey Epstein
Subject: Re: "Genius" finding
I think the brute force way of getting the interesting "attractors=E2 labs like George's to give us a list of the people who
=hey think would fit this model.
The problem is, and I'm working on this at MIT, most researchers =nd post docs are sort of "undocumented immigrants"
that =e don't normally track...
- Joi
> On Feb 18, 2015, at 9:23 PM, Barnaby Marsh < :;* =rote:
> On the right track- like the bayesian method. I think that the =nvironment matters a lot too- the people that we look
for aggregate in =laces like Cambridge, where they can be with others who they can =esonate with. My guess is that
many times they might not have formal =ositions, but are visitors to labs, research groups, etc. Is there any =ay to get
lists of such people???
> From: Joichi Ito ca>
> Date: Saturday, February 14, 2015 at 8:10 AM
> To: B Marsh <I >, Jeffrey Epstein
> [email protected]>
> Subject: Fwd: "Genius" finding
> Sent from my iPhone
> Begin forwarded message:
» From: Scott Page <: I>
» Date: Februa 14, 2015 at 07:16:47 EST
» To: Joichi Ito
» Subject: "Genius" finding
» Jo',
» I've been thinking about your question of how to identify amazing =eople.
» Here are several thoughts that don't necessarily cohere.
>>
» I think your approach has to depend partly on the goal. The =lgorithm I would construct to find the next great artist
would differ =rom one to find a teacher, mathematician, cancer researcher, brain =cientist, etc... If you're totally wide
open as to subject area, then =t seems to me you want to cast a wide net.
» I would be tempted to try the Bayesian Truth Serum and ask something
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» =ike Pick a really smart friend, who would that person say should win a =enius award.
» Rather than try to identify people, you might instead seek out =apers/projects/programs/ideas and then identify the
person after the =act.
» You might want to consider asking people for the "coolest thing they
» =now that's NOT on the web (yet)
» So much filtering and assessment already goes on that most programs =ree ride on that -- giving award to people
who have already won awards. = This suggests that one place to look is at the "losers" - contact =acArthur, NIH, NSF,
DARPA, GOOGLE, and ask who do you regret not =unding?
» Once you've got a long list of possibilities you have many options. =ere are some you may not have considered
» You could also pay people on mechanical turk to write up little =lurbs on each one and then seed them on
Facebook, Twitter, etc.. and =hen only look at the ones that get retweeted.
You could use Matt Salganik's pairwise comparison website.
» hope this helps. Happy to think more.
» scotte
» --
» Scott E Page
» University of Michigan-Ann Arbor
» Santa Fe Institute
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