<table><tr><th>From:</th><th>Joichi Ito &lt;</th></tr><tr><td>Sent:</td><td>Thursday, February 19, 2015 2:28 AM</td></tr><tr><td>To:</td><td>Barnaby Marsh</td></tr><tr><td>Cc:</td><td>Jeffrey Epstein</td></tr><tr><td>Subject:</td><td>Re: "Genius" finding</td></tr></table>

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 <>
> Date: Saturday, February 14, 2015 at 8:10 AM
> To: B Marsh <>, Jeffrey Epstein =jeevacation@gmail.com>
> Subject: Fwd: "Genius" finding
> 
> Sent from my iPhone
> 
> Begin forwarded message:
> 
>> From: Scott Page <>
>> Date: February 14, 2015 at 07:16:47 EST
>> To: Joichi Ito <>
>> Subject: "Genius" finding
>>
>> Joi,

>>

» 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

>> =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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