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The real relationship between your age and
your chance of success
00:03
Today, actually, is a very special day for me, because it is my
birthday.
00:08
(Applause)
00:12
And so, thanks to all of you for joining the party.
00:15
(Laughter)
00:16
But every time you throw a party, there's someone there to
spoil it. Right?
00:21
(Laughter)
00:22
And I'm a physicist, and this time I brought another physicist
along to do so. His name is Albert Einstein -- also Albert -- and
he's the one who said that the person who has not made his
great contributions to science by the age of 30 will never do
so.
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00:40
(Laughter)
00:41
Now, you don't need to check Wikipedia that I'm beyond 30.
00:45
(Laughter)
00:47
So, effectively, what he is telling me, and us, is that when it
comes to my science, I'm deadwood. Well, luckily, I had my
share of luck within my career. Around age 28, I became very
interested in networks, and a few years later, we managed to
publish a few key papers that reported the discovery of scale-
free networks and really gave birth to a new discipline that we
call network science today. And if you really care about it, you
can get a PhD now in network science in Budapest, in
Boston, and you can study it all over the world.
01:26
A few years later, when I moved to Harvard first as a
sabbatical, I became interested in another type of
network: that time, the networks within ourselves, how the
genes and the proteins and the metabolites link to each
other and how they connect to disease. And that interest led to
a major explosion within medicine, including the Network
Medicine Division at Harvard, that has more than 300
researchers who are using this perspective to treat patients
and develop new cures.
02:00
And a few years ago, I thought that I would take this idea of
networks and the expertise we had in networks in a different
area, that is, to understand success. And why did we do
that? Well, we thought that, to some degree, our success is
determined by the networks we're part of -- that our networks
can push us forward, they can pull us back. And I was curious
if we could use the knowledge and big data and
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