Foreword
We live today in the most technologically advanced age that human
history has known. But for most of us, our understanding of the
technologies we use and benefit from, and of the science and
mathematics that powers them, is not nearly as advanced. A farmer or
factory worker from an earlier era would have a reasonably good
understanding as to how the tools he or she uses actually works, but
many people today who search the web, use a cell phone, withdraw money
from an ATM, or otherwise interact with modern technology have only a
vague sense as to how these technologies work (and how to repair them
if they fail). Our success in making technology more sophisticated,
powerful, and user-friendly has, paradoxically, intimidated many from
satisfying their curiosity about how these technologies work, and how
to make them better.
Terence Tao was born in Adelaide,
Australia. He is currently a professor of mathematics at UCLA. In 2006,
he was awarded a Fields Medal. He has also won a slew of other awards
and is also a Fellow of the Royal Society, and the Australian Academy
of Sciences (Corresponding Member).
But our current technology is far from perfect, and we need as many
people as possible with curiosity, enthusiasm, hard work, and talent
to understand the world better, to understand our technologies and
problems better, and to tackle these problems or to simply make the
world a little bit cleaner, safer, more efficient, more comfortable,
or more fun, perhaps in ways that almost nobody today can foresee.
(Imagine explaining, say, the concept of a freely available and
extremely convenient search engine for the "World Wide Web" to someone
from 1980.) There are many professions that can have such an impact
on the world; but quite a few of them require training, or at least
literacy, in science and mathematics. And it is not just "high tech"
industries, universities, and labs that need scientists and
mathematicians; even such "low tech" sectors as agriculture, mining,
or transport also have great need of quantitative and scientific
skills nowadays in order to stay efficient and productive, and to
adapt to future challenges (e.g. climate change or rising energy
costs).
Science and maths do require some effort to learn properly. It's not
always enough to memorise a formula or a definition; one also has to
keep asking questions, identify (and perhaps discard) any hidden
assumptions or hypotheses, and connect abstract theories with concrete
real-world examples - in short, one has to "think". This is not
always easy to do, and takes time. (I am still learning new facts -
some of them very basic - about maths every day, though I have been a
professional mathematician for over a decade.) But the payoff is an
increased ability to understand and appreciate the world around us -
both the natural world and the man-made one. And, eventually, the
opportunity to improve these worlds in some modest way for the better,
either individually or in collaboration with others.
Hopefully, the stories here will give you a taste of all of this, as
you are considering your own career choices. The English poet, Eden
Phillpotts, wrote, "The universe is full of magical things, patiently
waiting for our wits to grow sharper". Learning (and then doing)
maths and science is one way to sharpen one's wits; I recommend giving
it a try.
Dr.Terence Tao
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