EFTA02511180.pdf

From: Barnaby Marsh ‹ > Sent: Thursday, February 19, 2015 2:34 AM To: Joichi Ito Cc: Jeffrey Epstein Subject: Re: "Genius" finding Yes, exactly - this is how it is at Harvard too, but very soon people know who the top minds are, and which are impostors - word spreads, and those with the good minds get invited to lunches, talks, the american academy, etc. there must be some way to crack this... On 2/18/15, 9:27 PM, "Joichi Ito" •> wrote: >I think the brute force way of getting the interesting 3attractors2 >la=s like George's to give us a list of the people who they think would >fit this model. >The problem is, and Om working on this at MIT, most researchers and >pos= docs are sort of 3undocumented immigrants' that we don't normally >tr=ck >- Joi » On Feb 18, 2015, at 9:23 PM, Barnaby Marsh < > wrote: » On the right track- like the bayesian method. I think that the »environment matters a lot too- the people that we look for aggregate »in places like Cambridge, where they can be with others who they can »resonate with. My guess is that many times they might not have formal »positions, but are visitors to labs, research groups, etc. Is there »any way 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 a >» Subject: "Genius" finding EFTA_R1_01643200 EFTA02511180 >>> Joi, >>> >>> I've been thinking about your question of how to identify amazing >>>people. >>> Here are several thoughts that don't necessarily cohere. >>> >» I think your approach has to depend partly on the goal. The >>>algorithm I would construct to find the next great artist would >>>differ from one to find a teacher, mathematician, cancer researcher, >>>brain scientist, etc... If you're totally wide open as to subject >>>area, then it seems to me you want to cast a wide net. >>> >>> I would be tempted to try the Bayesian Truth Serum and ask >>>something like Pick a really smart friend, who would that person say >>>should win a genius award. >>> >>> Rather than try to identify people, you might instead seek out >>>papers/projects/programs/ideas and then identify the person after the >>>fact. >>> >>> You might want to consider asking people for the "coolest thing they >>>know that's NOT on the web (yet) >>> So much filtering and assessment already goes on that most programs >>>free ride on that -- giving award to people who have already won >>>awards. This suggests that one place to look is at the "losers" - >»contact MacArthur, NIH, NSF, DARPA, GOOGLE, and ask who do you regret >»not funding? >>> >>> Once you've got a long list of possibilities you have many options. >>>Here are some you may not have considered >>> You could also pay people on mechanical turk to write up little >>>blurbs on each one and then seed them on Facebook, Twitter, etc.. and >>>then 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 <?xml version=.0" encoding=TF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version=.0"> <dict> 2 EFTA_R1_01643201 EFTA02511181  <key>conversation-id</key> <Integer>124627</integer> <key>date-last-viewed</key> <integer>0</integer> <key>date-received</key> <Integer>1424313256</integer> <key>flags</key> <Integer>8590195713</integer> <key>gmail-label-ids</key> <array> <integer>6</integer> <integer>2</integer> </array> <key>remote-id</key> <string>482957</string> </diet> </plist> 3 EFTA_R1_01643202 EFTA02511182