Beau Lotto + Amy O'Toole: Science is for everyone, kids included

182,837 views ใƒป 2012-10-17

TED


์•„๋ž˜ ์˜๋ฌธ์ž๋ง‰์„ ๋”๋ธ”ํด๋ฆญํ•˜์‹œ๋ฉด ์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค.

00:00
Translator: Joseph Geni Reviewer: Morton Bast
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๋ฒˆ์—ญ: K Bang ๊ฒ€ํ† : Woo Hwang
00:16
Beau Lotto: So, this game is very simple.
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๋ทฐ ๋กœํ† (์—ฐ์‚ฌ): ์•„์ฃผ ๊ฐ„๋‹จํ•œ ๊ฒŒ์ž„์„ ํ•ด๋ณผ๊นŒ์š”.
00:18
All you have to do is read what you see. Right?
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์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ํ•˜์‹ค ์ผ์€ ๋ณด์ด๋Š” ๊ฒƒ์„ ์ฝ๋Š” ๊ฒ๋‹ˆ๋‹ค. ๊ดœ์ฐฎ์ฃ ?
00:22
So, I'm going to count to you, so we don't all do it together.
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์—ฌ๋Ÿฌ๋ถ„๋“ค์„ ๋ฏฟ์–ด๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค. ํ•ด๋ณผ๊นŒ์š”.
00:26
Okay, one, two, three.Audience: Can you read this?
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์ข‹์Šต๋‹ˆ๋‹ค. ํ•˜๋‚˜, ๋‘˜, ์…‹. ์ฒญ์ค‘: ์ด๊ฑธ ์ฝ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?
00:28
BL: Amazing. What about this one? One, two, three.Audience: You are not reading this.
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์—ฐ์‚ฌ: ์ž˜ ํ•˜์‹œ๋„ค์š”. ์ด๊ฑด์š”? ํ•˜๋‚˜, ๋‘˜, ์…‹. ์ฒญ์ค‘: ์—ฌ๋Ÿฌ๋ถ„๋“ค์€ ์ด๊ฑธ ์ฝ์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
00:33
BL: All right. One, two, three. (Laughter)
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์—ฐ์‚ฌ: ์ข‹์•„์š”. ํ•˜๋‚˜, ๋‘˜, ์…‹. (์›ƒ์Œ)
00:38
If you were Portuguese, right? How about this one? One, two, three.
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ํฌ๋ฅดํˆฌ๊ฐˆ ์‚ฌ๋žŒ์ด์—ˆ์œผ๋ฉด ์ข‹๊ฒ ์ฃ ? ์ด๊ฑด ์–ด๋•Œ์š”? ํ•˜๋‚˜, ๋‘˜, ์…‹.
00:43
Audience: What are you reading?
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์ฒญ์ค‘: ๋ฌด์—‡์„ ์ฝ๊ณ  ์žˆ๋‚˜์š”?
00:45
BL: What are you reading? There are no words there.
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์—ฐ์‚ฌ: ๋ฌด์—‡์„ ์ฝ๊ณ  ๊ณ„์„ธ์š”? ์ €๊ธฐ์—” ๋‹จ์–ด๋„ ์—†๋Š”๋ฐ์š”.
00:48
I said, read what you're seeing. Right?
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์ œ๊ฐ€ ๋ง์”€๋“œ๋ ธ์ฃ ? ๋ณด๋Š”๋Œ€๋กœ ์ฝ์œผ์…”์•ผ ํ•œ๋‹ค๊ณ ์š”.
00:51
It literally says, "Wat ar ou rea in?" (Laughter) Right?
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๋ณด์ด๋Š”๋Œ€๋กœ๋ผ๋ฉด " ์—‡์„ ์ฝ ์žˆ ์š”?"์ฃ . (์›ƒ์Œ)
00:54
That's what you should have said. Right? Why is this?
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์–ด๋ ‡๊ฒŒ ์ฝ์œผ์…จ์–ด์•ผ ํ–ˆ๊ฑฐ๋“ ์š”. ๊ทธ๋Ÿฐ๋ฐ, ์™œ ์ด๋Ÿฐ ์ผ์ด ์ผ์–ด๋‚ ๊นŒ์š”?
00:58
It's because perception is grounded in our experience.
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๊ทธ๊ฑด ์ธ์ง€ํ•œ๋‹ค๋Š” ๊ฒƒ์ด ์‚ฌ๋žŒ๋“ค์˜ ๊ฒฝํ—˜์— ์˜ํ–ฅ๋ฐ›๊ธฐ ๋•Œ๋ฌธ์ด์—์š”.
01:02
Right? The brain takes meaningless information
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๋งž์ฃ ? ๋‡Œ๋Š” ์•„๋ฌด ์˜๋ฏธ๋„ ์—†๋Š” ์ •๋ณด๋ฅผ ๋ฐ›์•„์„œ
01:05
and makes meaning out of it, which means we never see
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๊ทธ๊ฒƒ์œผ๋กœ๋ถ€ํ„ฐ ์˜๋ฏธ๋ฅผ ๋งŒ๋“ค์–ด ๋ƒ…๋‹ˆ๋‹ค. ๋ฌด์Šจ ๋œป์ธ๊ฐ€ ํ•˜๋ฉด,
01:08
what's there, we never see information,
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์šฐ๋ฆฌ๋Š” ์žˆ๋Š”๋Œ€๋กœ ๋ณด์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒ๋‹ˆ๋‹ค. ์ •๋ณด๋ฅผ ๋ณด๋Š”๊ฒŒ ์•„๋‹ˆ์—์š”.
01:10
we only ever see what was useful to see in the past.
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์šฐ๋ฆฌ๊ฐ€ ๋ณด๋Š” ๊ฒƒ์€ ๊ณผ๊ฑฐ์— ์“ธ๋ชจ๊ฐ€ ์žˆ๋˜ ๊ฒƒ๋งŒ ๋ด…๋‹ˆ๋‹ค.
01:13
All right? Which means, when it comes to perception,
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๊ทธ๋ง์€, ์–ด๋–ค ๊ฒƒ์„ ์ธ์ง€ํ•  ๋•Œ,
01:16
we're all like this frog.
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์‚ฌ๋žŒ๋“ค์€ ๋ชจ๋‘ ์ด ๊ฐœ๊ตฌ๋ฆฌ ๊ฐ™์ด ํ–‰๋™ํ•œ๋‹ค๋Š” ๋œป์ด์ฃ .
01:23
(Laughter)
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(์›ƒ์Œ)
01:24
Right? It's getting information. It's generating behavior
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๊ทธ๋ ‡์ฃ ? ๊ฐœ๊ตฌ๋ฆฌ๋Š” ์ •๋ณด๋ฅผ ๋ฐ›์•„๋“ค์ด๊ณ 
01:27
that's useful. (Laughter)
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์“ธ๋ชจ์žˆ๋Š” ํ–‰๋™์„ ํ•ฉ๋‹ˆ๋‹ค. (์›ƒ์Œ)
01:32
(Laughter)
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(์›ƒ์Œ)
01:39
(Video) Man: Ow! Ow! (Laughter) (Applause)
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(์˜์ƒ) ๋‚จ์ž: ์•„์•ผ! ์•„์•ผ! (์›ƒ์Œ) (๋ฐ•์ˆ˜)
01:45
BL: And sometimes, when things don't go our way,
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์—ฐ์‚ฌ: ๊ทธ๋ฆฌ๊ณ  ๋•Œ๋กœ, ์ผ์ด ์ž˜ ํ’€๋ฆฌ์ง€ ์•Š์œผ๋ฉด
01:47
we get a little bit annoyed, right?
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์งœ์ฆ๋„ ๋‚ด์ฃ ?
01:50
But we're talking about perception here, right?
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์ง€๊ธˆ ์šฐ๋ฆฌ๋Š” ์ธ์‹์— ๋Œ€ํ•œ ์ด์•ผ๊ธฐ๋ฅผ ํ•˜๊ณ  ์žˆ์–ด์š”.
01:52
And perception underpins everything we think, we know,
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์ธ์ง€๋ผ๋Š” ๊ฒƒ์€ ์šฐ๋ฆฌ๊ฐ€ ์ƒ๊ฐํ•˜๊ณ  ์žˆ๋Š” ๋ชจ๋“  ๊ฒƒ์„ ๋’ท๋ฐ›์นจํ•ฉ๋‹ˆ๋‹ค.
01:57
we believe, our hopes, our dreams, the clothes we wear,
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์šฐ๋ฆฌ๊ฐ€ ์•Œ๊ณ  ์žˆ๊ฑฐ๋‚˜, ๋ฏฟ๋Š” ๊ฒƒ, ์šฐ๋ฆฌ์˜ ๊ฟˆ์ด๋ผ๋“ ๊ฐ€ ์ž…๊ณ  ์žˆ๋Š” ์˜ท,
01:59
falling in love, everything begins with perception.
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์‚ฌ๋ž‘์— ๋น ์ง€๋Š” ์ผ ๋“ฑ, ๋ชจ๋“  ๊ฒƒ์€ ์ธ์ง€๋กœ๋ถ€ํ„ฐ ์‹œ์ž‘๋˜์ง€์š”.
02:03
Now if perception is grounded in our history, it means
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์ธ์ง€๋ผ๋Š” ๊ฒƒ์„ ์—ญ์‚ฌ๋กœ๋งŒ ๊ตญํ•œ ์‹œ์ผœ๋ณด๋ฉด, ์šฐ๋ฆฌ๋Š”
02:06
we're only ever responding according to what we've done before.
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์ด์ „์— ํ•ด๋ดค๋˜ ๊ฒฝํ—˜์— ์˜ํ•ด์„œ ๋ฐ˜์‘ํ•  ๋”ฐ๋ฆ„์ด์ฃ .
02:10
But actually, it's a tremendous problem,
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๊ทธ๋ ‡์ง€๋งŒ ๊ทธ๊ฑด ๊ธฐ๋ณธ์ ์œผ๋กœ ์—„์ฒญ๋‚œ ๋ฌธ์ œ๋ฅผ ์ œ๊ธฐํ•ฉ๋‹ˆ๋‹ค.
02:13
because how can we ever see differently?
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์™œ๋ƒํ•˜๋ฉด, ๊ทธ๋ ‡๋‹ค๋ฉด, ์šฐ๋ฆฌ๋Š” ์–ด๋–ป๊ฒŒ ๋‹ค๋ฅด๊ฒŒ ๋ณผ ์ˆ˜ ์žˆ๊ฒ ๋Š”๊ฐ€ ํ•˜๋Š” ๋ฌธ์ œ์—์š”.
02:16
Now, I want to tell you a story about seeing differently,
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๋‹ค๋ฅธ๊ฒŒ ๋ณธ๋‹ค๋Š” ๊ฒƒ์— ๋Œ€ํ•œ ์ด์•ผ๊ธฐ๋ฅผ ํ•˜๋‚˜ ๋“ค๋ ค๋“œ๋ฆฌ์ฃ .
02:20
and all new perceptions begin in the same way.
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๋ชจ๋“  ์ธ์‹์€ ๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ ์‹œ์ž‘๋ฉ๋‹ˆ๋‹ค.
02:24
They begin with a question.
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๋‹ค๋ฅด๊ฒŒ ๋ณด๋Š” ๊ฒƒ์€ ์˜๋ฌธ์—์„œ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค.
02:27
The problem with questions is they create uncertainty.
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์˜๋ฌธ์ด๋ž€ ๊ฒƒ์˜ ๋ฌธ์ œ์ ์€ ๋ถˆํ™•์‹คํ•˜๋‹ค๋Š” ๊ฒƒ์ด์ฃ .
02:30
Now, uncertainty is a very bad thing. It's evolutionarily
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๋ถˆํ™•์‹คํ•˜๋‹ค๋Š” ๊ฒƒ์€ ์•„์ฃผ ์ข‹์ง€ ์•Š์€๊ฑฐ์—์š”. ์ง„ํ™”์˜ ๊ด€์ ์—๋„ ๋ด๋„
02:33
a bad thing. If you're not sure that's a predator, it's too late.
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์ข‹์ง€ ์•Š์€ ๊ฑฐ์—์š”. ์ €๊ธฐ ๋ณด์ด๋Š”๊ฒŒ ๋‚  ์žก์•„๋จน๋Š” ํฌ์‹์ž์ธ์ง€ ์ž˜ ๋ชจ๋ฅด๊ฒ ๋‹ค๋ฉด, ์ด๋ฏธ ๋Šฆ์€๊ฑฐ์ฃ .
02:37
Okay? (Laughter)
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๊ทธ๋ ‡์ฃ ? (์›ƒ์Œ)
02:38
Even seasickness is a consequence of uncertainty.
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์‹ฌ์ง€์–ด ๋ฐฐ๋ฉ€๋ฏธ๋„ ๋ถˆํ™•์‹ค์˜ ์‚ฐ๋ฌผ์ด์—์š”.
02:41
Right? If you go down below on a boat, your inner ears
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๋ฐฐ๋ฅผ ํƒ€๊ณ  ์•„๋ž˜์ชฝ์œผ๋กœ ์ถœ๋ ์ด๋ฉด, ๊ท€์†์—์„œ๋Š”
02:43
are you telling you you're moving. Your eyes, because
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๋ชธ์ด ์›€์ง์ด๊ณ  ์žˆ๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ, ๋ˆˆ์€
02:45
it's moving in register with the boat, say I'm standing still.
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๋ฐฐ๋ฅผ ๋ณด๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๊ณ„์† ์„œ์žˆ๋‹ค๊ณ  ํ˜ผ๋™์„ ์ผ์œผํ‚ค๋Š”๊ฑฐ์ฃ .
02:48
Your brain cannot deal with the uncertainty of that information, and it gets ill.
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์‚ฌ๋žŒ์˜ ๋‡Œ๋Š” ๊ทธ๋Ÿฐ ์ •๋ณด์˜ ๋ถˆํ™•์‹คํ•จ์„ ์ฒ˜๋ฆฌํ•˜์ง€ ๋ชปํ•˜๊ณ  ๋ฉ€๋ฏธ๋ฅผ ๋Š๋ผ๋Š”๊ฑฐ์ฃ .
02:52
The question "why?" is one of the most dangerous things you can do,
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"์™œ?"๋ผ๋Š” ์งˆ๋ฌธ์€ ์‚ฌ๋žŒ์ด ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€์žฅ ์œ„ํ—˜ํ•œ ์ผ์ด์—์š”.
02:56
because it takes you into uncertainty.
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์™œ๋ƒํ•˜๋ฉด ๊ทธ๋ž˜์„œ ๋ถˆํ™•์‹คํ•˜๊ฒŒ ์ƒ๊ฐ๋˜๊ฑฐ๋“ ์š”.
02:59
And yet, the irony is, the only way we can ever
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ํ•˜์ง€๋งŒ, ์ธ๊ฐ„์ด ๋ญ”๊ฐ€ ์ƒˆ๋กœ์šด ์ผ์„ ํ•ด๋ณผ ์ˆ˜ ์žˆ๋Š” ์œ ์ผํ•œ ๋ฐฉ๋ฒ•์€
03:02
do anything new is to step into that space.
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๊ทธ๊ฒƒ์— ๋ฐœ์„ ๋”›์–ด ๋ณด๋Š” ๋ฐฉ๋ฒ• ๋ฟ์ž…๋‹ˆ๋‹ค.
03:06
So how can we ever do anything new? Well fortunately,
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๊ทธ๋Ÿฌ๋ฉด ์‚ฌ๋žŒ์€ ์–ด๋–ป๊ฒŒ ์ƒˆ๋กœ์šด ๊ฑธ ์‹œ๋„ํ•ด ๋ณผ๊นŒ์š”? ๋‹คํ–‰ํžˆ๋„
03:09
evolution has given us an answer, right?
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์ง„ํ™”๋ผ๋Š” ๊ฒƒ์ด ๊ทธ ํ•ด๋‹ต์„ ์•Œ๋ ค์คฌ์Šต๋‹ˆ๋‹ค.
03:13
And it enables us to address even the most difficult
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์ง„ํ™”๋ฅผ ํ†ตํ•ด ์šฐ๋ฆฌ๋Š” ๊ฐ€์žฅ ์–ด๋ ค์šด ๋ฌธ์ œ๊นŒ์ง€๋„ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
03:16
of questions. The best questions are the ones that create the most uncertainty.
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์ตœ๊ณ ์˜ ์˜๋ฌธ์€ ๊ณง ๊ฐ€์žฅ ๋ถˆํ™•์‹คํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” ์งˆ๋ฌธ๋“ค์ด์ฃ .
03:21
They're the ones that question the things we think to be true already. Right?
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์ด๋Ÿฐ ๊ฒƒ๋“ค์€ ์ด๋ฏธ ์šฐ๋ฆฌ๊ฐ€ ์ง„์‹ค์ด๋ผ๊ณ  ๋ฏฟ๊ณ  ์žˆ๋Š” ๊ฒƒ์— ๋Œ€ํ•œ ์˜๋ฌธ์ ๋“ค ์ž…๋‹ˆ๋‹ค.
03:25
It's easy to ask questions about how did life begin,
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์ƒ๋ช…์ด ์–ด๋–ป๊ฒŒ ์‹œ์ž‘ํ–ˆ๋Š”์ง€, ๋˜๋Š” ์šฐ์ฃผ ๋ฐ–์—๋Š” ๋ฌด์—‡์ด ์žˆ๋Š”์ง€
03:27
or what extends beyond the universe, but to question what you think to be true already
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๊ฐ™์€ ๊ฒƒ๋“ค์€ ์‰ฌ์šด ์งˆ๋ฌธ์ด์—์š”. ํ•˜์ง€๋งŒ ์ด๋ฏธ ์‚ฌ์‹ค์ด๋ผ๊ณ  ๋ฏฟ๊ณ  ์žˆ๋Š” ๊ฒƒ์— ์˜๋ฌธ์„ ํ’ˆ๋Š” ๊ฒƒ์€
03:30
is really stepping into that space.
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์ง„์ •์œผ๋กœ ์ƒˆ๋กœ์šด ์„ธ๊ณ„์— ๋ฐœ์„ ๋‚ด๋”›๋Š” ํ–‰๋™์ž…๋‹ˆ๋‹ค.
03:33
So what is evolution's answer to the problem of uncertainty?
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๊ทธ๋ ‡๋‹ค๋ฉด, ๋ถˆํ™•์‹ค์„ฑ์˜ ๋ฌธ์ œ์— ๋Œ€ํ•œ ์ง„ํ™”๋ก ์  ๋Œ€๋‹ต์€ ๋ฌด์—‡์ด์—ˆ์„๊นŒ์š”?
03:38
It's play.
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ํ•œ๋ฒˆ ๋ณผ๊นŒ์š”.
03:40
Now play is not simply a process. Experts in play will tell you
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ํ–‰๋™์€ ๋‹จ์ˆœํ•œ ๊ณผ์ •์ด ์•„๋‹™๋‹ˆ๋‹ค. ์ „๋ฌธ๊ฐ€๋“ค์€
03:44
that actually it's a way of being.
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์‚ฌ์‹ค ๊ทธ๊ฒƒ์ด ์กด์žฌ์˜ ๋ฐฉ์‹์ด๋ผ๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค.
03:47
Play is one of the only human endeavors where uncertainty
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ํ–‰๋™์€ ๋ถˆํ™•์‹ค์„ฑ์„ ์ฐฌ์–‘ํ•˜๋Š” ์ธ๊ฐ„์˜ ์œ ์ผํ•œ ๋…ธ๋ ฅ์ด์—์š”.
03:49
is actually celebrated. Uncertainty is what makes play fun.
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๋ถˆํ™•์‹ค์„ฑ์œผ๋กœ ์ธํ•ด ํ–‰๋™์€ ์žฌ๋ฏธ์žˆ๊ฒŒ ๋Š๊ปด์ง‘๋‹ˆ๋‹ค.
03:54
Right? It's adaptable to change. Right? It opens possibility,
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๊ทธ๋ ‡์ฃ ? ๋ณ€ํ™”์— ์ ์‘ํ•˜๋Š”๊ฑฐ์ฃ . ๊ฐ€๋Šฅ์„ฑ์„ ์—ด์–ด๋‘๊ณ 
03:58
and it's cooperative. It's actually how we do our social bonding,
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ํ˜‘๋ ฅ์ ์œผ๋กœ ๋˜๋Š” ๊ฒ๋‹ˆ๋‹ค. ์‚ฌ์‹ค ์šฐ๋ฆฌ๋Š” ๊ทธ๋ ‡๊ฒŒ ์‚ฌํšŒ์ ์ธ ์—ฐ๊ฒฐ์„ฑ์„ ์ด๋ฃฉํ•˜์ฃ .
04:02
and it's intrinsically motivated. What that means
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๊ทธ๋ฆฌ๊ณ  ๋ณธ์งˆ์ ์ธ ๋™๊ธฐ๋„ ์–ป๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ๊ทธ๊ฒƒ์€
04:04
is that we play to play. Play is its own reward.
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์šฐ๋ฆฌ๋Š” ํ–‰๋™์„ ์œ„ํ•ด ํ–‰๋™ํ•œ๋‹ค๋Š” ์˜๋ฏธ์ž…๋‹ˆ๋‹ค. ํ–‰๋™์€ ์ž์ฒด๋กœ๋„ ๋ณด๋‹ต์ธ๊ฑฐ์ฃ .
04:08
Now if you look at these five ways of being,
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์ž ์ด์ œ ์ €๊ธฐ์žˆ๋Š” 5๊ฐ€์ง€ ์กด์žฌ์˜ ๋ฐฉ์‹์„ ๋ณด๋ฉด
04:12
these are the exact same ways of being you need
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์ด๊ฒƒ๋“ค์€ ์ข‹์€ ๊ณผํ•™์ž๊ฐ€ ๋˜๊ธฐ ์œ„ํ•ด ํ•„์š”ํ•œ
04:15
in order to be a good scientist.
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์กด์žฌ์„ฑ๋“ค์ด์—์š”.
04:17
Science is not defined by the method section of a paper.
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๊ณผํ•™์€ ๋…ผ๋ฌธ์˜ ๋ฐฉ๋ฒ•๋ก ์œผ๋กœ ์ •์˜๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
04:20
It's actually a way of being, which is here, and this is true
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๊ณผํ•™์€ ์‚ฌ์‹ค ์กด์žฌ์˜ ํ•œ ๊ฐ€์ง€ ๋ฐฉ๋ฒ•์ด์ฃ . ๊ทธ๊ฑด ์—ฌ๊ธฐ์— ์žˆ๋“ฏ์ด,
04:23
for anything that is creative.
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์ฐฝ์˜์ ์ธ ์–ด๋–ค ๊ฒƒ์— ๋Œ€ํ•ด์„œ๋„ ์ ์šฉ๋˜๋Š” ๊ฒƒ๋“ค์ด์—์š”.
04:26
So if you add rules to play, you have a game.
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๊ทธ๋Ÿฌ๋‹ˆ๊นŒ, ํ–‰๋™์— ์–ด๋–ค ๊ทœ์น™์„ ๋”ํ•˜๋ฉด,. ๊ทธ๊ฑด ์ด์ œ ๊ฒŒ์ž„์ด ๋˜๋Š”๊ฒ๋‹ˆ๋‹ค.
04:30
That's actually what an experiment is.
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์‚ฌ์‹ค ๊ทธ๊ฒŒ ์‹คํ—˜์ด๊ธฐ๋„ ํ•˜์ฃ .
04:33
So armed with these two ideas,
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์ด๋Ÿฐ ๋‘๊ฐ€์ง€ ์ƒ๊ฐ์„ ๊ฐ€์ง€๊ณ 
04:35
that science is a way of being and experiments are play,
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์ฆ‰, ๊ณผํ•™์€ ์กด์žฌ์˜ ํ•œ ๋ฐฉ๋ฒ•์ด๊ณ  ์‹คํ—˜์€ ๊ฒŒ์ž„์ด๋ผ๋Š” ์ƒ๊ฐ์ด์ฃ ,
04:39
we asked, can anyone become a scientist?
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์šฐ๋ฆฌ๊ฐ€ ์งˆ๋ฌธํ•ฉ๋‹ˆ๋‹ค. ๋ˆ„๊ตฌ๋“ ์ง€ ๊ณผํ•™์ž๊ฐ€ ๋  ์ˆ˜ ์žˆ์„๊นŒ?
04:43
And who better to ask than 25 eight- to 10-year-old children?
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๋ˆ„๊ฐ€ 8์‚ด์—์„œ 10์‚ด๊นŒ์ง€ 25๋ช…์˜ ์–ด๋ฆฐ์ด๋“ค ๋ณด๋‹ค ๋” ์งˆ๋ฌธ์„ ์ž˜ ํ•˜๊ฒ ์–ด์š”?
04:46
Because they're experts in play. So I took my bee arena
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์ด ์•„์ด๋“ค์€ ๊ฒŒ์ž„์—๋Š” ์ฒœ์žฌ๋“ค์ด์ฃ . ๊ทธ๋ž˜์„œ ์ €๋Š” ์ œ ๊ฟ€๋ฒŒ ํ†ต๋“ค์„
04:50
down to a small school in Devon, and the aim of this
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๋ฐ๋ณธ์— ์žˆ๋Š” ์ž‘์€ ํ•™๊ต๋กœ ๊ฐ€์ ธ๊ฐ”์Šต๋‹ˆ๋‹ค. ๊ทธ ๋ชฉ์ ์€
04:53
was to not just get the kids to see science differently,
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์•„์ด๋“ค์—๊ฒŒ ๊ทธ์ € ๊ณผํ•™์„ ๋‹ค๋ฅด๊ฒŒ ๋ณด์—ฌ์ฃผ๋ ค๋Š”๊ฒŒ ์•„๋‹ˆ์—ˆ์Šต๋‹ˆ๋‹ค.
04:57
but, through the process of science, to see themselves differently. Right?
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๊ทธ ๋Œ€์‹ , ๊ณผํ•™์ด๋ผ๋Š” ๊ณผ์ •์„ ํ†ตํ•ด, ์ž๊ธฐ ์ž์‹ ์„ ๋‹ค๋ฅด๊ฒŒ ๋ณด๋„๋ก ํ•˜๋Š” ๊ฒƒ์ด์—ˆ์ฃ .
05:02
The first step was to ask a question.
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์ฒซ ๋‹จ๊ณ„๋Š” ์งˆ๋ฌธ์„ ๋˜์ง€๋Š” ๊ฑฐ์—์š”.
05:05
Now, I should say that we didn't get funding for this study
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์Œ, ์—ฌ๊ธฐ์„œ ์ €๋Š” ์ด ์—ฐ๊ตฌ๊ฐ€ ์–ด๋–ค ์ง€์›๋„ ๋ฐ›์ง€ ๋ชปํ–ˆ๋‹ค๋Š” ๊ฑธ ๋ฐํ˜€์•ผ๊ฒ ์Šต๋‹ˆ๋‹ค.
05:08
because the scientists said small children couldn't make
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์™œ๋ƒํ•˜๋ฉด ๊ณผํ•™์ž๋“ค์€ ์–ด๋ฆฐ ์•„์ด๋“ค์ด ์“ธ๋ชจ์žˆ๋Š” ๊ฒฐ๊ณผ๋ฅผ ๋‚ด์ง€ ๋ชปํ• ๊ฑฐ๋ผ ํ–ˆ๊ณ 
05:12
a useful contribution to science, and the teachers said kids couldn't do it.
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์„ ์ƒ๋‹˜๋“ค์€ ์•„์ด๋“ค์ด ์‹คํ—˜์„ ํ•ด๋‚ด์ง€ ๋ชป ํ• ๊ฑฐ๋ผ ์ƒ๊ฐํ–ˆ๊ฑฐ๋“ ์š”.
05:16
So we did it anyway. Right? Of course.
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์–ด์จŒ๋“  ์ €ํฌ๋Š” ๋ฌผ๋ก  ์ง„ํ–‰์„ ํ–ˆ์–ด์š”.
05:20
So, here are some of the questions. I put them in small print
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์—ฌ๊ธฐ ๋ช‡ ๊ฐœ์˜ ์งˆ๋ฌธ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ œ๊ฐ€ ์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ์‰ฝ๊ฒŒ ๋ณด์‹ค ์ˆ˜ ์žˆ๋„๋ก
05:22
so you wouldn't bother reading it. Point is that five of the questions that the kids came up with
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ํ”„๋ฆฐํŠธํ•ด์™”์Šต๋‹ˆ๋‹ค. ์š”์ ์€ ์•„์ด๋“ค์ด ๋ฐ›์•„๋“  ์งˆ๋ฌธ๋“ค ๊ฐ€์šด๋ฐ 5๊ฐœ๊ฐ€
05:27
were actually the basis of science publication the last five to 15 years. Right?
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์‹ค์ œ๋กœ ์ง€๋‚œ 10๋…„์—์„œ 15๋…„ ์‚ฌ์ด์— ๋ฐœํ‘œ๋œ ๋…ผ๋ฌธ์˜ ๊ทผ๋ณธ์  ์งˆ๋ฌธ์ด์—ˆ๋‹ค๋Š” ๊ฒ๋‹ˆ๋‹ค.
05:32
So they were asking questions that were significant
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๊ทธ๋Ÿฌ๋‹ˆ๊นŒ ์‚ฌ์‹ค ์ „๋ฌธ ๊ณผํ•™์ž๋“ค์—๊ฒŒ๋„ ์ค‘์š”ํ•œ ์งˆ๋ฌธ์„
05:34
to expert scientists.
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๋˜์กŒ๋˜๊ฑฐ์ฃ .
05:36
Now here, I want to share the stage with someone quite special. Right?
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์ €๋Š” ์˜ค๋Š˜ ์ด ๋ฌด๋Œ€๋ฅผ ํŠน๋ณ„ํ•œ ํ•œ ์‚ฌ๋žŒ๊ณผ ํ•จ๊ป˜ ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค.
05:40
She was one of the young people who was involved in this study,
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์ด ์•„์ด๋Š” ์ €ํฌ ์—ฐ๊ตฌ์— ์ฐธ์—ฌํ–ˆ๋˜ ์–ด๋ฆฐ ์นœ๊ตฌ๋“ค์ค‘ ํ•œ ๋ช…์ด๊ณ 
05:43
and she's now one of the youngest published scientists
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๋ฐœํ‘œ ๋…ผ๋ฌธ์„ ๊ฐ€์ง„ ์„ธ๊ณ„์˜ ๊ฐ€์žฅ ์ Š์€ ์‚ฌ๋žŒ ๊ฐ€์šด๋ฐ ํ•œ ์‚ฌ๋žŒ์ž…๋‹ˆ๋‹ค.
05:45
in the world. Right? She will now, once she comes onto stage,
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์ด ์•„์ด๊ฐ€ ๋ฌด๋Œ€์— ์˜ค๋ฅด๋ฉด ์•„๋งˆ
05:49
will be the youngest person to ever speak at TED. Right?
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TED์—์„œ ๊ฐ•์—ฐํ•œ ๊ฐ€์žฅ ์–ด๋ฆฐ ์‚ฌ๋žŒ์ด ๋  ๊ฒ๋‹ˆ๋‹ค.
05:53
Now, science and asking questions is about courage.
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๊ณผํ•™๊ณผ ์งˆ๋ฌธ์„ ๋˜์ง€๋Š” ๊ฒƒ์€ ์šฉ๊ธฐ์™€ ๊ด€๋ จ๋œ ๊ฒƒ ์ž…๋‹ˆ๋‹ค.
05:56
Now she is the personification of courage, because she's
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์ด ์•„์ด๋Š” ์šฉ๊ธฐ์˜ ํ™”์‹ ์ด๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ๊ฒ ์ฃ , ์™œ๋ƒํ•˜๋ฉด
05:59
going to stand up here and talk to you all.
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์—ฌ๊ธฐ ์˜ฌ๋ผ์™€์„œ ์—ฌ๋Ÿฌ๋ถ„๋“ค์—๊ฒŒ ๊ฐ•์—ฐ์„ ํ• ํ…Œ๋‹ˆ๊นŒ์š”.
06:00
So Amy, would you please come up? (Applause)
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์—์ด๋ฏธ, ์ด๋ฆฌ ์˜ฌ๋ผ์˜ค๊ฒ ๋‹ˆ? (๋ฐ•์ˆ˜)
06:06
(Applause)
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(๋ฐ•์ˆ˜)
06:13
So Amy's going to help me tell the story of what we call
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์—์ด๋ฏธ๊ฐ€ ์ €๋ฅผ ๋„์™€ Blackawton Bee ํ”„๋กœ์ ํŠธ๋ผ๊ณ  ํ•˜๋Š” ๊ฒƒ์— ๋Œ€ํ•œ
06:15
the Blackawton Bees Project, and first she's going to tell you
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์ด์•ผ๊ธฐ๋ฅผ ๋“ค์—ฌ๋“œ๋ฆด ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋จผ์ € ์•„์ด๋“ค์ด ์ œ๊ธฐํ–ˆ๋˜
06:18
the question that they came up with. So go ahead, Amy.
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์˜๋ฌธ์ ์— ๋Œ€ํ•ด๋ง์”€๋“œ๋ฆด ๊ฒ๋‹ˆ๋‹ค. ์—์ด๋ฏธ, ์‹œ์ž‘ํ•ด๋ณด๋ ด.
06:21
Amy O'Toole: Thank you, Beau. We thought
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์—์ด๋ฏธ ์˜คํˆด: ๊ณ ๋ง™์Šต๋‹ˆ๋‹ค. ์ €ํฌ๊ฐ€ ์ƒ๊ฐํ–ˆ์„ ๋•Œ,
06:22
that it was easy to see the link between humans and apes
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์ธ๊ฐ„๊ณผ ์œ ์ธ์›์˜ ์—ฐ๊ด€ ๊ด€๊ณ„์— ๋Œ€ํ•ด์„œ ์•Œ์•„๋‚ด๋Š” ๊ฑด ์‰ฌ์šธ๊ฑฐ๋ผ๊ณ  ๋ดค์–ด์š”.
06:26
in the way that we think, because we look alike.
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์ €ํฌ๊ฐ€ ์ƒ๊ฐํ•œ ๋ฐฉ์‹์œผ๋กœ๋Š” ๋น„์Šทํ•˜๊ฒŒ ์ƒ๊ฒผ๊ธฐ ๋•Œ๋ฌธ์ด์—ˆ์ฃ .
06:29
But we wondered if there's a possible link
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๊ทธ๋Ÿฐ๋ฐ, ๋‹ค๋ฅธ ๋™๋ฌผ๊ณผ์˜ ์—ฐ๊ด€ ๊ฐ„๊ณ„๋„ ์žˆ์„๊นŒ ํ•˜๋Š” ์ ์ด์—ˆ์–ด์š”.
06:31
with other animals. It'd be amazing if humans and bees
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์ธ๊ฐ„์ด ๊ฟ€๋ฒŒ๊ณผ ๋น„์Šทํ•˜๊ฒŒ ์ƒ๊ฐํ•œ๋‹ค๋ฉด ๊ทธ๊ฑด ์ •๋ง ๋†€๋ผ์šด ์ผ์ด๊ฒ ์ฃ ,
06:36
thought similar, since they seem so different from us.
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์™œ๋ƒํ•˜๋ฉด ์ด ๋‘ ์ข…์€ ์„œ๋กœ ์•„์ฃผ ๋‹ค๋ฅด๊ฒŒ ์ƒ๊ฒผ์œผ๋‹ˆ๊นŒ์š”.
06:40
So we asked if humans and bees might solve
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๊ทธ๋ž˜์„œ ์ €ํฌ๋Š” ์ธ๊ฐ„๊ณผ ๊ฟ€๋ฒŒ์ด ๋ณต์žกํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ์—๋Š”
06:43
complex problems in the same way.
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๊ฐ™์€ ๋ฐฉ๋ฒ•์„ ์“ธ์ง€์— ๋Œ€ํ•ด์„œ ์˜๋ฌธ์„ ๊ฐ€์กŒ์ฃ .
06:46
Really, we wanted to know if bees can also adapt
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์‹ค์ œ๋กœ ์ €ํฌ๋Š” ๊ฟ€๋ฒŒ๋“ค์ด ์ด๋ฏธ ์Šต๋“ํ•œ ๊ทœ์น™๊ณผ ์กฐ๊ฑด์— ๋”ฐ๋ผ
06:49
themselves to new situations using previously learned rules
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์ƒˆ๋กœ์šด ํ™˜๊ฒฝ์— ์ ์‘ํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์•Œ๊ณ  ์‹ถ์—ˆ์–ด์š”.
06:53
and conditions. So what if bees can think like us?
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๊ฟ€๋ฒŒ์ด ์‚ฌ๋žŒ๊ณผ ๋น„์Šทํ•˜๊ฒŒ ์ƒ๊ฐํ•œ๋‹ค๋ฉด ์–ด๋–จ๊นŒ? ํ•˜๋Š” ๊ฑฐ์˜€์ฃ .
06:57
Well, it'd be amazing, since we're talking about an insect
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๊ทธ๊ฑด ์•„๋งˆ ๋†€๋ž„๋งŒํ•œ ์ผ์ด๊ฒ ์ฃ . ์™œ๋ƒํ•˜๋ฉด ๊ณค์ถฉ์˜ ๋‘๋‡Œ ์„ธํฌ๋Š”
06:59
with only one million brain cells.
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๊ฒจ์šฐ ๋ฐฑ๋งŒ๊ฐœ ์ •๋„๋ผ๊ณ  ์•Œ๊ณ  ์žˆ์œผ๋‹ˆ๊นŒ์š”.
07:02
But it actually makes a lot of sense they should,
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์ •๋ง ๊ทธ๋ ‡๋‹ค๋ฉด ์ด๊ฑด ๊ต‰์žฅํ•œ ์˜๋ฏธ๊ฐ€ ์žˆ๋Š”๊ฑฐ๊ฒŸ์ฃ 
07:04
because bees, like us, can recognize a good flower
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์‚ฌ๋žŒ๋“ค์ฒ˜๋Ÿผ, ๊ฟ€๋ฒŒ๋“ค๋„ ํ•˜๋ฃจ ์ค‘ ์–ด๋Š ๋•Œ๋“ , ๋น›์ด๋‚˜ ๋‚ ์”จ,
07:07
regardless of the time of day, the light, the weather,
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์•„๋‹ˆ๋ฉด ์–ด๋Š ์ชฝ์—์„œ ๊ฐ€๊นŒ์ด ๊ฐ€๋Š”์ง€์™€ ์ƒ๊ด€์—†์ด
07:11
or from any angle they approach it from. (Applause)
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์ข‹์€ ๊ฝƒ์„ ์•Œ์•„๋ณผ ์ˆ˜ ์žˆ์„ํ…Œ๋‹ˆ๊นŒ์š”. (๋ฐ•์ˆ˜)
07:17
BL: So the next step was to design an experiment,
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๊ฐ•์—ฐ์ž: ๋‹ค์Œ ๋‹จ๊ณ„๋Š” ์‹คํ—˜์„ ๊ณ„ํšํ•˜๋Š” ๊ฒƒ์ด์—ˆ์ฃ .
07:21
which is a game. So the kids went off and they designed
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๊ทธ๊ฑด ๊ฒŒ์ž„์ด์—ˆ์–ด์š”. ์•„์ด๋“ค์€ ๋‚˜์•„๊ฐ€ ์ด๋Ÿฐ ์‹คํ—˜์„
07:24
this experiment, and so -- well, game -- and so,
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๊ณ„ํšํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ž˜์„œ.. ๊ฒŒ์ž„์ด์—์š”, ๊ทธ๋ž˜์„œ
07:27
Amy, can you tell us what the game was,
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์—์ด๋ฏธ, ๊ทธ ๊ฒŒ์ž„์ด ์–ด๋–ค๊ฑฐ์˜€๋Š”์ง€ ๊ทธ๋ฆฌ๊ณ 
07:29
and the puzzle that you set the bees?
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๋„ˆํฌ๋“ค์ด ๊ฟ€๋ฒŒ์—๊ฒŒ ์ค€ ๋ฌธ์ œ๊ฐ€ ์–ด๋–ค๊ฑฐ ์˜€๋Š”์ง€ ๋งํ•ด์ฃผ๊ฒ ๋‹ˆ?
07:31
AO: The puzzle we came up with was an if-then rule.
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์—์ด๋ฏธ: ์ €ํฌ๊ฐ€ ๋งŒ๋“ค์–ด ๋‚ธ ๋ฌธ์ œ๋Š” "๋งŒ์•ฝ-๊ทธ๋Ÿฌ๋ฉด" ๋ฒ•์น™์ด์—ˆ์–ด์š”.
07:34
We asked the bees to learn not just to go to a certain color,
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์ €ํฌ๊ฐ€ ๊ฟ€๋ฒŒ๋“ค์—๊ฒŒ ์–ด๋–ค ํŠน๋ณ„ํ•œ ์ƒํ™ฉ์—์„œ๋Š”
07:37
but to a certain color flower only
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ํŠน์ •ํ•œ ์ƒ‰๊น”์„ ๋”ฐ๋ผ๊ฐ€๋Š” ๋Œ€์‹ 
07:40
when it's in a certain pattern.
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ํŠน์ •ํ•œ ๊ฝƒ๋งŒ์„ ๋”ฐ๋ผ ๊ฐ€๋„๋ก ํ•™์Šต์‹œ์ผฐ์–ด์š”.
07:42
They were only rewarded if they went to the yellow flowers
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๊ฟ€๋ฒŒ๋“ค์—๊ฒŒ๋Š” ๋…ธ๋ž€ ๊ฝƒ์— ๊ฐˆ ๋•Œ๋งŒ ์ƒ์„ ์คฌ์–ด์š”.
07:45
if the yellow flowers were surrounded by the blue,
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๊ทธ๋Ÿฌ๋‹ˆ๊นŒ, ๋…ธ๋ž€ ๊ฝƒ์ด ํŒŒ๋ž€ ๊ฝƒ์œผ๋กœ ๋‘˜๋Ÿฌ ์‹ธ์—ฌ ์žˆ๊ฑฐ๋‚˜
07:48
or if the blue flowers were surrounded by the yellow.
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๋ฐ˜๋Œ€๋กœ ํŒŒ๋ž€ ๊ฝƒ์ด ๋…ธ๋ž€ ๊ฝƒ์œผ๋กœ ๋‘˜๋ ค ์‹ธ์—ฌ ์žˆ์„ ๋•Œ๋งŒ ์ƒ์„ ์ค€๊ฑฐ์ฃ .
07:51
Now there's a number of different rules the bees can learn
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์ด ๋ฌธ์ œ๋ฅผ ํ’€๊ธฐ ์œ„ํ•ด์„œ ๊ฟ€๋ฒŒ๋“ค์€ ์ƒ๋‹นํžˆ ๋งŽ์€ ๊ทœ์น™์„
07:54
to solve this puzzle. The interesting question is, which?
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๋ฐฐ์›Œ์•ผ๋งŒ ํ–ˆ์ฃ . ํฅ๋ฏธ๋กœ์šด ์งˆ๋ฌธ์€, ์–ด๋–ค ๊ฒƒ์ผ๊นŒ? ์˜€์–ด์š”.
07:57
What was really exciting about this project was we,
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์ด ํ”„๋กœ์ ํŠธ์—์„œ ์ •๋ง ํฅ๋ถ„๋˜๋Š” ๊ฒƒ์€
08:00
and Beau, had no idea whether it would work.
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์ €ํฌ๋“ค์—๊ฒŒ๋Š” ๋ฌด์Šจ ์ผ์ด ์ผ์–ด๋‚ ์ง€ ์ „ํ˜€ ๋ชจ๋ฅด๊ณ  ์žˆ์—ˆ๋‹ค๋Š” ์ ์ด์ฃ .
08:02
It was completely new, and no one had done it before,
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์ด๊ฑด ์™„์ „ํžˆ ์ƒˆ๋กœ์šด ๊ฒƒ์ด๊ณ , ์ด์ „์— ๋‹ค๋ฅธ ์‚ฌ๋žŒ์ด ์‹คํ—˜ํ–ˆ๋˜ ์ ์ด ์—†๋Š”๊ฑฐ์˜€์–ด์š”.
08:05
including adults. (Laughter)
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์–ด๋ฅธ๋“ค๋„์š”. (์›ƒ์Œ)
08:09
BL: Including the teachers, and that was really hard for the teachers.
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๊ฐ•์—ฐ์ž: ๊ต์‚ฌ๋ฅผ ํฌํ•จํ•ด์„œ, ์ด๊ฑด ๊ต์‚ฌ๋“ค์—๊ฒŒ๋„ ์–ด๋ ค์šด ๋ฌธ์ œ์ฃ ?
08:12
It's easy for a scientist to go in and not have a clue what he's doing,
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๊ณผํ•™์ž๋“ค์ด ๋‚˜์„œ๋„ ์•„๋ฌด๋Ÿฐ ์‹ค๋งˆ๋ฆฌ๋ฅผ ์ฐพ์ง€ ๋ชปํ•˜๋Š” ๊ฒฝ์šฐ๋Š” ๋งŽ์Šต๋‹ˆ๋‹ค.
08:15
because that's what we do in the lab, but for a teacher
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๊ทธ๋Ÿฐ๊ฒŒ ์šฐ๋ฆฌ๊ฐ€ ์‹คํ—˜์‹ค์—์„œ ํ•˜๋Š” ์ผ์ด๊ฑฐ๋“ ์š”. ๊ทธ๋Ÿฐ๋ฐ
08:18
not to know what's going to happen at the end of the day --
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์–ด๋–ค ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜์˜ฌ์ง€ ๋ชจ๋ฅด๋Š” ๊ต์‚ฌ๋“ค์—๊ฒŒ๋Š” ๋งํ•  ๊ฒƒ๋„ ์—†์ฃ .
08:19
so much of the credit goes to Dave Strudwick, who was
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๋ฐ์ด๋น— ์ŠคํŠธ๋Ÿฌ๋“œ์œ…์ด ์ƒ๋‹นํ•œ ๊ณต์„ ๋“ค์˜€์Šต๋‹ˆ๋‹ค.
08:22
the collaborator on this project. Okay?
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์ด ๋ถ„์€ ์ €์™€ ๊ณต๋™์—ฐ๊ตฌ๋ฅผ ํ•˜๊ณ  ์žˆ์—ˆ์ฃ .
08:24
So I'm not going to go through the whole details of the study
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์ด ์—ฐ๊ตฌ์˜ ์„ธ์„ธํ•œ ๋ถ€๋ถ„๊นŒ์ง€ ๋ชจ๋‘ ๋ง์”€๋“œ๋ฆฌ์ง€๋Š” ์•Š๊ฒ ์Šต๋‹ˆ๋‹ค.
08:27
because actually you can read about it, but the next step
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์‚ฌ์‹ค ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜์„œ ์ง์ ‘ ์ฝ์–ด ๋ณด์‹ค ์ˆ˜ ์žˆ์œผ๋‹ˆ๊นŒ์š”.
08:29
is observation. So here are some of the students
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๋‹ค์Œ ๋‹จ๊ณ„๋Š” ๊ด€์ฐฐ์ด์—ˆ์–ด์š”. ์—ฌ๊ธฐ ๊ด€์ฐฐ์„ ํ•˜๊ณ  ์žˆ๋Š” ํ•™์ƒ๋“ค์ด
08:33
doing the observations. They're recording the data
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์žˆ์ฃ . ์ด ํ•™์ƒ๋“ค์€ ์–ด๋””์„œ ๊ฟ€๋ฒŒ์ด ๋‚˜๋ฅด๋Š”์ง€์— ๋Œ€ํ•œ
08:36
of where the bees fly.
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์ž๋ฃŒ๋ฅผ ๊ธฐ๋กํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
08:41
(Video) Dave Strudwick: So what we're going to do โ€”Student: 5C.
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(์˜์ƒ) ๋ฐ์ด๋ธŒ ์ŠคํŠธ๋Ÿฌ๋“œ์œ…: ๊ทธ๋Ÿฌ๋‹ˆ๊นŒ ๋„ˆํฌ๋“ค์ด ํ•  ์ผ์€-- ํ•™์ƒ๋“ค: 5C
08:43
Dave Strudwick: Is she still going up here?Student: Yeah.
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๋ฐ์ด๋ธŒ ์ŠคํŠธ๋Ÿฌ๋“œ์œ…: ๊ฟ€๋ฒŒ์ด ์—ฌ์ „ํžˆ ์œ„๋กœ ์˜ฌ๋ผ๊ฐ€๊ณ  ์žˆ๋‹ˆ? ํ•™์ƒ: ๋„ค.
08:47
Dave Strudwick: So you keep track of each.Student: Henry, can you help me here?
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๋ฐ์ด๋ธŒ ์ŠคํŠธ๋Ÿฌ๋“œ์œ…: ์ „๋ถ€ ๋‹ค ์ถ”์ ํ•ด๋ด. ํ•™์ƒ: ํ—จ๋ฆฌ, ๋‚˜ ์ข€ ๋„์™€์ค„๋ž˜?
08:50
BL: "Can you help me, Henry?" What good scientist says that, right?
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๊ฐ•์—ฐ์ž: "ํ—จ๋ฆฌ, ๋‚˜ ์ข€ ๋„์™€์ค„๋ž˜?" ์ด๋Ÿฐ ๋ง์„ ํ• ์ค„ ์•„๋Š” ํ›Œ๋ฅญํ•œ ๊ณผํ•™์ž์ฃ .
08:53
Student: There's two up there.
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ํ•™์ƒ: ์œ„์ชฝ์— ๋‘๋งˆ๋ฆฌ๊ฐ€ ์žˆ์–ด์š”.
08:58
And three in here.
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์ด์ชฝ์—” ์„ธ๋งˆ๋ฆฌ๊ณ ์š”.
09:01
BL: Right? So we've got our observations. We've got our data.
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๊ฐ•์—ฐ์ž: ์ €ํฌ๋Š” ๊ทธ๋ ‡๊ฒŒ ๊ด€์ฐฐํ•ด์„œ ์ž๋ฃŒ๋ฅผ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค.
09:03
They do the simple mathematics, averaging, etc., etc.
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ํ•™์ƒ๋“ค์€ ๊ฐ„๋‹จํ•œ ์ˆ˜ํ•™์„ ์‚ฌ์šฉํ–ˆ์–ด์š”, ํ‰๊ท ์„ ๋‚ด๊ฑฐ๋‚˜ ๊ทธ๋Ÿฐ๊ฑฐ์š”.
09:07
And now we want to share. That's the next step.
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์ด์ œ ํ•™์ƒ๋“ค์€ ๊ทธ๊ฑธ ๊ณต์œ ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๊ฒŒ ๋‹ค์Œ ๋‹จ๊ณ„์—์š”.
09:09
So we're going to write this up and try to submit this
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์ €ํฌ๋Š” ์ด๊ฑธ ์จ์„œ ๋ฐœํ‘œํ•˜๋ ค๋ฉด
09:10
for publication. Right? So we have to write it up.
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์ œ์ถœํ•ด์•ผ์ฃ . ์ด๊ฑธ ์ •๋ฆฌํ•ด์„œ ์จ๋‚ด์•ผ ํ–ˆ์Šต๋‹ˆ๋‹ค.
09:13
So we go, of course, to the pub. All right? (Laughter)
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๋ฌผ๋ก , ๊ทธ๊ฑธ ํ•˜๋ ค๊ณ  ์ˆ ์ง‘์—๋„ ๊ฐ€๊ฒ ์ฃ ? (์›ƒ์Œ)
09:18
The one on the left is mine, okay? (Laughter)
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์™ผ์ชฝ์— ๋ณด์ด๋Š”๊ฒŒ ์ €์—์š”. (์›ƒ์Œ)
09:20
Now, I tell them, a paper has four different sections:
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์ œ๊ฐ€ ์•„์ด๋“ค์—๊ฒŒ ์ด๋ ‡๊ฒŒ ์•Œ๋ ค์ค๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์—๋Š” 4๋‹จ์›์ด ์žˆ๋‹จ๋‹ค:
09:22
an introduction, a methods, a results, a discussion.
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๋„์ž…, ๋ฐฉ๋ฒ•, ๊ฒฐ๊ณผ, ๊ทธ๋ฆฌ๊ณ  ํ† ์˜๋ผ๊ณ ์š”.
09:25
The introduction says, what's the question and why?
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๋„์ž…์—๋Š”, ์˜๋ฌธ์ ์ด ๋ฌด์—‡์ด๊ณ  ๊ทธ ์ด์œ ๋Š” ์™œ ๊ทธ๋Ÿฐ๊ฐ€๋ฅผ ์“ฐ๋Š”๊ฑฐ์ฃ .
09:28
Methods, what did you do? Results, what was the observation?
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๋ฐฉ๋ฒ•์—๋Š” ๋ฌด์—‡์„ ํ–ˆ๋Š”์ง€๋ฅผ ์“ฐ๋Š”๊ฒ๋‹ˆ๋‹ค. ๊ฒฐ๊ณผ๋Š” ๊ด€์ฐฐํ•œ๊ฒŒ ๋ฌด์—‡์ธ๊ฐ€๋ฅผ,
09:31
And the discussion is, who cares? Right?
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๊ทธ๋ฆฌ๊ณ  ํ† ์˜์—๋Š”, ๋ฌด์Šจ ์ƒ๊ด€์žˆ๊ฒ ์–ด์š”.
09:33
That's a science paper, basically. (Laughter)
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๊ทธ๋ž˜๋ด์•ผ ๊ณผํ•™์  ๋…ผ๋ฌธ์ธ๋ฐ์š”. (์›ƒ์Œ)
09:35
So the kids give me the words, right? I put it into a narrative,
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์•„์ด๋“ค์ด ์ œ๊ฒŒ ๋ง์„ํ•˜๊ณ  ์ €๋Š” ๊ทธ๊ฑธ ๋Œ€ํ™”์‹์œผ๋กœ ์ผ์–ด์š”.
09:40
which means that this paper is written in kidspeak.
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๊ทธ๋Ÿฌ๋‹ˆ๊นŒ ์ด ๋…ผ๋ฌธ์€ ์–ด๋ฆฐ ์•„์ด๋“ค์˜ ๋Œ€ํ™”์ฒด๋กœ ์“ฐ์˜€์–ด์š”.
09:43
It's not written by me. It's written by Amy
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์ œ๊ฐ€ ์“ด๊ฒŒ ์•„๋‹ˆ๋ผ ์—์ด๋ฏธ์™€ ํ•™๊ธ‰์˜ ๋‹ค๋ฅธ ์นœ๊ตฌ๋“ค์ด
09:46
and the other students in the class. As a consequence,
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์“ด๊ฒ๋‹ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ,
09:49
this science paper begins, "Once upon a time ... " (Laughter)
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์ด ๊ณผํ•™ ๋…ผ๋ฌธ์€ "์•„์ฃผ ์˜›๋‚ ์—๋Š”.. "์œผ๋กœ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค. (์›ƒ์Œ)
09:55
The results section, it says: "Training phase, the puzzle ... duh duh duuuuuhhh." Right? (Laughter)
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๊ฒฐ๊ณผ ๋‹จ์›์€ ์ด๋ ‡๊ฒŒ ๋˜์ฃ  "ํ›ˆ๋ จ ๋‹จ๊ณ„, ๋ฌธ์ œ๋Š”.. ์–ด์ฉŒ๊ณ " (์›ƒ์Œ)
10:00
And the methods, it says, "Then we put the bees
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๊ทธ๋ฆฌ๊ณ  ๋ฐฉ๋ฒ•๋ก ์—๋Š” "๊ทธ ๋‹ค์Œ์—” ๊ฟ€๋ฒŒ์„
10:03
into the fridge (and made bee pie)," smiley face. Right? (Laughter)
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๋ƒ‰์žฅ๊ณ ์— ๋„ฃ๊ณ  (๊ฟ€๋ฒŒํŒŒ์ด๋ฅผ ๋งŒ๋“ค์ฃ )" ๋ฏธ์†Œ๊ฐ€ ์ง€์–ด์ง‘๋‹ˆ๋‹ค. (์›ƒ์Œ)
10:06
This is a science paper. We're going to try to get it published.
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์ด์ œ ๊ณผํ•™ ๋…ผ๋ฌธ์ด ์™„์„ฑ๋๊ณ , ์ €ํฌ๋Š” ๊ทธ๊ฑธ ๋ฐœํ‘œํ•˜๋ ค๊ณ  ํ–ˆ์–ด์š”.
10:10
So here's the title page. We have a number of authors there.
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์ด๊ฒƒ์€ ์ œ๋ชฉ์ด ๋‚˜์˜จ ์ชฝ์ด๊ณ , ์ €์ž๊ฐ€ ์ƒ๋‹นํžˆ ๋งŽ์ฃ .
10:12
All the ones in bold are eight to 10 years old.
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๊ตต๊ฒŒ ์“ฐ์ธ๊ฑด 8์‚ด์—์„œ 10์‚ด ์•„์ด๋“ค์ด์—์š”.
10:15
The first author is Blackawton Primary School, because
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์ œ 1์ €์ž๋Š” Blackawton์ดˆ๋“ฑํ•™๊ต์—์š”. ์™œ๋ƒํ•˜๋ฉด ๋ˆ„๊ตฐ๊ฐ€
10:17
if it were ever referenced, it would be "Blackawton et al,"
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๋…ผ๋ฌธ์„ ์ธ์šฉํ•œ๋‹ค๋ฉด ํ•œ ๊ฐœ์ธ์ด ์•„๋‹ˆ๋ผ "Blackawton ๋“ฑ๋“ฑ" ์ด
10:21
and not one individual. So we submit it to a public access journal,
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๋ ํ…Œ๋‹ˆ๊นŒ์š”. ๊ทธ๋ ‡๊ฒŒ ํ•ด์„œ ์ €ํฌ๋Š” ์ผ๋ฐ˜์ธ๋„ ๋ณผ ์ˆ˜ ์žˆ๋Š” ์žก์ง€์— ์ œ์ถœํ–ˆ์Šต๋‹ˆ๋‹ค.
10:24
and it says this. It said many things, but it said this.
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๊ทธ๋žฌ๋”๋‹ˆ ์žก์ง€์ชฝ์—์„œ ์ด๋ ‡๊ฒŒ ๋งํ•˜๋”๊ตฐ์š”. ๋งŽ์€ ์ด์•ผ๊ธฐ๋ฅผ ํ–ˆ์ง€๋งŒ ์ด๋Ÿฐ ๋ง๋„ ํ–ˆ์–ด์š”.
10:27
"I'm afraid the paper fails our initial quality control checks in several different ways." (Laughter)
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"์ด ๋…ผ๋ฌธ์€ ์—ฌ๋Ÿฌ ์ธก๋ฉด์—์„œ ์ €ํฌ๋“ค์˜ ๊ธฐ๋ณธ ์›์น™์„ ๋งŒ์กฑํ•˜์ง€ ๋ชปํ•ฉ๋‹ˆ๋‹ค." (์›ƒ์Œ)
10:31
In other words, it starts off "once upon a time,"
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๋ฐ”๊ฟ”๋งํ•˜๋ฉด, ๋…ผ๋ฌธ์ด "์—ฃ๋‚  ์˜›์ ์—"๋กœ ์‹œ์ž‘ํ•œ๋‹ค๋Š”๊ฑฐ์ฃ .
10:34
the figures are in crayon, etc. (Laughter)
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๊ทธ๋ฆผ์ด ํฌ๋ ˆ์šฉ์œผ๋กœ ๊ทธ๋ ค์กŒ๊ฑฐ๋‚˜ ๊ทธ๋Ÿฐ ๋ฌธ์ œ๋“ค์ด์š”. (์›ƒ์Œ)
10:36
So we said, we'll get it reviewed. So I sent it to Dale Purves,
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๊ทธ๋ž˜์„œ ์ €ํฌ๊ฐ€ ๊ทธ๋žฌ์Šต๋‹ˆ๋‹ค. 'ํ‰๊ฐ€๋ฅผ ๋ฐ›์•„๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.' ๊ฒฐ๊ตญ ๋…ผ๋ฌธ์ด ๋ฐ์ผ ํผ๋ธŒ์Šค์—๊ฒŒ ๋ณด๋‚ด์กŒ์–ด์š”.
10:40
who is at the National Academy of Science, one of the leading neuroscientists in the world,
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์ด ๋ถ„์€ ๊ตญ๋ฆฝํ•™์ˆ ์› ํšŒ์›์ด๊ณ  ์‹ ๊ฒฝ๊ณผํ•™ ๋ถ„์•ผ์—์„œ ์„ธ๊ณ„์ ์ธ ์ธ๋ฌผ์ด์ฃ .
10:44
and he says, "This is the most original science paper I have ever read" โ€” (Laughter) โ€”
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๊ทธ๋ถ„์ด ์ด๋ ‡๊ฒŒ ๋‹ตํ–ˆ์Šต๋‹ˆ๋‹ค. " ์ด ๋…ผ๋ฌธ์€ ๋‚ด๊ฐ€ ๋ณธ ๋…ผ๋ฌธ ์ค‘์— ๊ฐ€์žฅ ๋…์ฐฝ์ ์ธ ๋…ผ๋ฌธ์ž…๋‹ˆ๋‹ค." (์›ƒ์Œ)
10:47
"and it certainly deserves wide exposure."
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"๊ทธ๋ฆฌ๊ณ  ์ด ๊ฒฐ๊ณผ๋Š” ๋„๋ฆฌ ์•Œ๋ ค์งˆ ๊ฐ€์น˜๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค."
10:49
Larry Maloney, expert in vision, says, "The paper is magnificent.
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์‹œ๊ณผํ•™ ์ „๋ฌธ๊ฐ€์ธ ๋ž˜๋ฆฌ ๋ฉ€๋กœ๋‹ˆ๋Š” "์ด ๋…ผ๋ฌธ์€ ๋†€๋ผ์šด ๊ฒฐ๊ณผ์ด๊ณ 
10:54
The work would be publishable if done by adults."
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์–ด๋ฅธ๋“ค์ด ์‹คํ–‰ํ–ˆ๋‹ค๋ฉด ๋ฐœํ‘œ๋˜์—ˆ์„ ๊ฒƒ์ด๋‹ค."๋ผ๊ณ ์š”.
10:57
So what did we do? We send it back to the editor.
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๊ทธ๋ž˜์„œ ์ €ํฌ๊ฐ€ ์–ด๋–ป๊ฒŒ ํ–ˆ์„๊นŒ์š”? ์ €ํฌ๋Š” ํŽธ์ง‘์žฅ์—๊ฒŒ ๋…ผ๋ฌธ์„ ๋‹ค์‹œ ๋ณด๋ƒˆ์Šต๋‹ˆ๋‹ค.
10:59
They say no.
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๊ทธ๋“ค์€ ๊ฑฐ๋ถ€ํ–ˆ๊ณ 
11:01
So we asked Larry and Natalie Hempel to write
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์ €ํฌ๋Š” ๋ž˜๋ฆฌ์™€ ๋‚˜ํƒ€๋ฆฌ ํ—ดํŽ ์—๊ฒŒ ๊ณผํ•™์ ์œผ๋กœ ์–ป์–ด๋‚ธ ๊ฒฐ๊ณผ๋ฅผ
11:03
a commentary situating the findings for scientists, right,
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์„ค๋ช…ํ•˜๋Š” ๋‚ด์šฉ์„ ์ฐธ๊ณ  ๋ฌธํ—Œ์— ๋„ฃ์–ด์„œ ํŽธ์ง€๋กœ ์จ๋‹ฌ๋ผ๊ณ 
11:07
putting in the references, and we submit it to Biology Letters.
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๋ถ€ํƒํ–ˆ์–ด์š”. ๊ทธ๋ฆฌ๊ณ ๋Š” Biology Letter ๋ผ๋Š” ์žก์ง€์— ์ฒด์ถœํ–ˆ์ฃ .
11:11
And there, it was reviewed by five independent referees,
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๊ฑฐ๊ธฐ์„œ๋Š” ๋…๋ฆฝ์ ์ธ ํ‰๊ฐ€์ž๋“ค์ด ๋…ผ๋ฌธ์„ ๊ฒ€ํ† ํ•˜๋„๋ก ํ–ˆ๊ณ 
11:15
and it was published. Okay? (Applause)
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๋…ผ๋ฌธ์ด ๋ฐœํ‘œ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. (๋ฐ•์ˆ˜)
11:19
(Applause)
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(๋ฐ•์ˆ˜)
11:25
It took four months to do the science,
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๊ณผํ•™์„ ํ•˜๋Š”๋ฐ 4๊ฐœ์›”์ด ๊ฑธ๋ ธ๋Š”๋ฐ
11:28
two years to get it published. (Laughter)
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๊ทธ๊ฑธ ๋ฐœํ‘œํ•˜๋Š”๋ฐ 2๋…„์ด ๊ฑธ๋ ธ์–ด์š”.
11:31
Typical science, actually, right? So this makes Amy and
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์ „ํ˜•์ ์ธ ๊ณผํ•™์˜ ํ–‰ํƒœ์ฃ ? ์–ด์จŒ๋“  ์ด๋Ÿฐ ๊ณผ์ •์„ ํ†ตํ•ด
11:36
her friends the youngest published scientists in the world.
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์—์ด๋ฏธ๊ณผ ์นœ๊ตฌ๋“ค์€ ์„ธ์ƒ์— ๊ฒฐ๊ณผ๋ฅผ ์„ธ์ƒ์— ๋ฐœํ‘œํ•œ ๊ณผํ•™์ž๊ฐ€ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
11:39
What was the feedback like?
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๊ฒฐ๊ณผ๊ฐ€ ์–ด๋• ๋ƒ๊ตฌ์š”?
11:41
Well, it was published two days before Christmas,
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๊ธ€์Ž„์š”, ๋…ผ๋ฌธ์ด ๋ฐœํ‘œ๋œ ๊ฒƒ์ด ํฌ๋ฆฌ์Šค๋งˆ์Šค ์ดํ‹€ ์ „์ด์—ˆ๋Š”๋ฐ
11:43
downloaded 30,000 times in the first day, right?
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์ฒซ๋‚ , 30,000๊ฑด์ด ๋‹ค์šด๋กœ๋“œ ๋์–ด์š”.
11:47
It was the Editors' Choice in Science, which is a top science magazine.
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์„ธ๊ณ„ ์ตœ๊ณ ์˜ ๊ณผํ•™ ์žก์ง€์ธ "์‚ฌ์ด์–ธ์Šค"์— ํŽธ์ง‘์ž๊ฐ€ ์ถ”์ฒœํ•œ ๋…ผ๋ฌธ์ด ๋˜์—ˆ์ฃ .
11:51
It's forever freely accessible by Biology Letters.
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"๋ฐ”์ด์˜ฌ๋กœ์ง€ ๋ ˆํ„ฐ"๋ผ๋Š” ์žก์ง€์—๋Š” ์˜์›ํžˆ ๊ณต์งœ๋กœ ๊ฒŒ์ œ๋˜์–ด ์žˆ์–ด์š”.
11:54
It's the only paper that will ever be freely accessible by this journal.
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์ด ์žก์ง€์—์„œ ๋ˆ์„ ๋‚ด์ง€ ์•Š๊ณ  ๋ณผ ์ˆ˜ ์žˆ๋Š” ์œ ์ผํ•œ ๋…ผ๋ฌธ์ด์—์š”.
11:58
Last year, it was the second-most downloaded paper
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์ž‘๋…„์— ์ด ๋…ผ๋ฌธ์€ ๋ฐ”์ด์˜ฌ๋กœ์ง€ ๋ ˆํ„ฐ์—์„œ ๋‘๋ฒˆ์งธ๋กœ ๋งŽ์ด
12:00
by Biology Letters, and the feedback from not just scientists
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๋‹ค์šด๋กœ๋“œ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋ฐ˜์‘์€ ๊ณผํ•ฎ์ž๋“ค ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ
12:04
and teachers but the public as well.
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๊ต์‚ฌ์™€ ์ผ๋ฐ˜ ๋Œ€์ค‘์œผ๋กœ๋ถ€ํ„ฐ ์™”์–ด์š”.
12:07
And I'll just read one.
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์ œ๊ฐ€ ํ•˜๋‚˜ ์ฝ์–ด๋“œ๋ฆด๊ฒŒ์š”.
12:09
"I have read 'Blackawton Bees' recently. I don't have
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"์ €๋Š” ์ตœ๊ทผ์— Blackawton ๊ฟ€๋ฒŒ์ด๋ผ๋Š” ๋…ผ๋ฌธ์„ ์ฝ์—ˆ๋Š”๋ฐ
12:11
words to explain exactly how I am feeling right now.
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์ง€๊ธˆ ๊ทธ ๋Š๋‚Œ์— ๋Œ€ํ•ด์„œ ์ •ํ™•ํ•˜๊ฒŒ ํ‘œํ˜„ํ•  ์ˆ˜ ์—†์„ ์ •๋„์ž…๋‹ˆ๋‹ค.
12:14
What you guys have done is real, true and amazing.
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์•„์ด๋“ค์ด ํ•ด๋‚ธ ๊ฒƒ์€ ์‹ค์ œ์ ์ด๊ณ , ์ง„์‹ค๋˜๋ฉฐ ๋†€๋ผ์šด ์ผ์ด์—์š”.
12:16
Curiosity, interest, innocence and zeal are the most basic
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ํ˜ธ๊ธฐ์‹ฌ๊ณผ ํฅ๋ฏธ ์ˆœ์ˆ˜ํ•จ๊ณผ ์—ด์ •์€ ๊ณผํ•™์„ ํ•˜๋Š”๋ฐ ์žˆ์–ด
12:19
and most important things to do science.
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๊ฐ€์žฅ ๊ธฐ๋ณธ์ ์ด๊ณ ๋„ ์ค‘์š”ํ•œ ์ผ์ž…๋‹ˆ๋‹ค.
12:21
Who else can have these qualities more than children?
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์–ด๋ฆฐ์ด๋“ค ๋ง๊ณ  ๋ˆ„๊ฐ€ ์ด๋Ÿฐ ์ข‹์€ ์ž์งˆ์„ ๊ฐ–๊ฒ ์Šต๋‹ˆ๊นŒ?
12:23
Please congratulate your children's team from my side."
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์•„์ด๋“ค์—๊ฒŒ ์ถ•ํ•˜์˜ ๋ง์„ ์ „ํ•ฉ๋‹ˆ๋‹ค."
12:27
So I'd like to conclude with a physical metaphor.
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์ด์ œ ์ €๋Š” ๋ฌผ๋ฆฌ์ ์ธ ์€์œ ๋กœ ๋งˆ์น˜๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.
12:30
Can I do it on you? (Laughter)
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์—ฌ๋Ÿฌ๋ถ„๋“ค๋„ ์‰ฝ๊ฒŒ ํ•ด๋‚ผ ์ˆ˜ ์žˆ๊ฒ ์ฃ ? (์›ƒ์Œ)
12:33
Oh yeah, yeah, yeah, come on. Yeah yeah. Okay.
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๋‚ด ๊ทธ๋Ÿผ์š”, ๊ทธ๋ ‡์ฃ , ๋ฌผ๋ก ์ž…๋‹ˆ๋‹ค.
12:36
Now, science is about taking risks, so this is an incredible risk, right? (Laughter)
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๊ณผํ•™์€ ์œ„ํ—˜์„ ๊ฐ์ˆ˜ํ•˜๋Š” ์ผ์ž…๋‹ˆ๋‹ค. ์ €ํฌ๊ฐ€ ํ•œ ์ผ๋„ ๋Œ€๋‹จํ•œ ์œ„ํ—˜์„ ๊ฐ์ˆ˜ํ•œ๊ฑฐ์ฃ ?
12:42
For me, not for him. Right? Because we've only done this once before. (Laughter)
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์ œ๊ฒŒ ๊ทธ๋Ÿฐ๊ฑฐ์ง€ ์ด๋ถ„์—๊ฒŒ ๊ทธ๋Ÿฐ๊ฒŒ ์•„๋‹ˆ์ฃ ?
12:48
And you like technology, right?
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๊ธฐ์ˆ ์„ ์ข‹์•„ํ•˜์‹œ๊ฒ ์ฃ ?
12:49
Shimon Schocken: Right, but I like myself.
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์‰ฌ๋ชฌ ์‡ผ์ผ„: ๋„ค, ํ•˜์ง€๋งŒ ์ €๋Š” ์ € ์ž์‹ ์„ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค.
12:51
BL: This is the epitome of technology. Right. Okay.
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์—ฐ์‚ฌ: ์ด๊ฑด ๊ธฐ์ˆ ์˜ ์™„๋ฒฝํ•œ ๋ณธ๋ณด๊ธฐ์—์š”.
12:54
Now ... (Laughter)
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์ด์ œ.. (์›ƒ์Œ)
12:58
Okay. (Laughter)
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๋์–ด์š”. (์›ƒ์Œ)
13:01
Now, we're going to do a little demonstration, right?
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์ด์ œ ์ €ํฌ๊ฐ€ ์‹œ๋ฒ”์„ ๋ณด์—ฌ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.
13:05
You have to close your eyes, and you have to point
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๋ˆˆ์„ ๊ฐ์œผ์‹œ๊ณ  ์ œ๊ฐ€ ๋ฐ•์ˆ˜๋ฅผ ์น˜๋Š” ๋ฐฉํ–ฅ์„
13:09
where you hear me clapping. All right?
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์ง€์ ํ•ด ๋ณด์„ธ์š”. ํ•˜์‹ค ์ˆ˜ ์žˆ์ฃ ?
13:12
(Clapping)
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(๋ฐ•์ˆ˜)
13:17
(Clapping)
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(๋ฐ•์ˆ˜)
13:20
Okay, how about if everyone over there shouts. One, two, three?
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๋„ค ์ข‹์Šต๋‹ˆ๋‹ค. ์ €์ชฝ์— ๊ณ„์‹  ๋ถ„๋“ค์ด ๋ชจ๋‘ ์†Œ๋ฆฌ๋ฅผ ์น˜๋ฉด ์–ด๋–จ๊นŒ์š”? ํ•˜๋‚˜, ๋‘˜, ์…‹.
13:23
Audience: (Shouts)
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์ฒญ์ค‘๋“ค: (๊ณ ํ•จ์†Œ๋ฆฌ)
13:25
(Laughter)
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(์›ƒ์Œ)
13:30
(Shouts) (Laughter)
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(๊ณ ํ•จ์†Œ๋ฆฌ) (์›ƒ์Œ)
13:33
Brilliant. Now, open your eyes. We'll do it one more time.
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๋Œ€๋‹จํ•˜๊ตฐ์š”. ์ด์ œ ๋ˆˆ์„ ๋œจ์…”๋„ ๋ฉ๋‹ˆ๋‹ค. ํ•œ๋ฒˆ ๋” ํ•ด๋ณด์ฃ .
13:37
Everyone over there shout. (Shouts)
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์ €์ชฝ์— ๊ณ„์‹ ๋ถ„๋“ค์€ ๊ณ ํ•จ์„ ์ณ ์ฃผ์„ธ์š”. (๊ณ ํ•จ์†Œ๋ฆฌ)
13:40
Where's the sound coming from? (Laughter) (Applause)
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์†Œ๋ฆฌ๊ฐ€ ์–ด๋Š ์ชฝ์—์„œ ๋‚˜์ฃ ? (์›ƒ์Œ) (ํ™˜ํ˜ธ)
13:45
Thank you very much. (Applause)
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๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. (ํ™˜ํ˜ธ)
13:50
What's the point? The point is what science does for us.
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์š”์ ์€ ๋ญ”๊ฐ€์š”? ์š”์ ์€ ๊ณผํ•™์ด ์šฐ๋ฆฌ์—๊ฒŒ ์–ด๋–ค ์ผ์„ ํ•˜๋Š”๊ฐ€ ์ž…๋‹ˆ๋‹ค.
13:53
Right? We normally walk through life responding,
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์šฐ๋ฆฌ๋Š” ๋ณดํ†ต ๊ต๊ฐํ•˜๋ฉด์„œ ์‚ถ์„ ์‚ด์•„ ๋‚˜๊ฐ‘๋‹ˆ๋‹ค.
13:56
but if we ever want to do anything different, we have to
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ํ•˜์ง€๋งŒ ์šฐ๋ฆฌ๊ฐ€ ๋ญ”๊ฐ€ ๋‹ค๋ฅธ ๊ฒƒ์„ ํ•˜๋ ค๋ฉด, ์šฐ๋ฆฌ๋Š” ๋ถˆํ™•์ •์ ์ธ ๊ณณ์—
13:58
step into uncertainty. When he opened his eyes,
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๋ฐœ๊ฑธ์Œ์„ ๋”›์–ด์•ผ ํ•˜์ฃ . ์ € ๋ถ„์ด ๋ˆˆ์„ ๋œฐ ๋•Œ,
14:01
he was able to see the world in a new way.
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์„ธ์ƒ์„ ์ƒˆ๋กœ์šด ๋ฐฉ์‹์œผ๋กœ ๋ณด์‹ค ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
14:03
That's what science offers us. It offers the possibility
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๊ทธ๊ฒŒ ๋ฐ”๋กœ ๊ณผํ•™์ด ์šฐ๋ฆฌ์—๊ฒŒ ํ•˜๋Š” ์ผ์ž…๋‹ˆ๋‹ค. ๊ทธ๊ฑด ๋…ธ๋Š” ๊ฒƒ๊ฐ™์€ ๊ณผ์ •์„ ํ†ตํ•ด
14:06
to step on uncertainty through the process of play, right?
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๋ถˆํ™•์‹คํ•œ ๊ฒƒ์— ๋ฐœ๊ฑธ์Œ์„ ๋”›๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์ œ๊ณตํ•˜๋Š” ๊ฒ๋‹ˆ๋‹ค.
14:10
Now, true science education I think should be about
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์ง„์ •ํ•œ ๊ณผํ•™ ๊ต์œก์€, ์ œ ์ƒ๊ฐ์—, ๊ทธ๋Ÿฐ ๋ชฉ์†Œ๋ฆฌ๋ฅผ ๋‚ด๊ณ 
14:13
giving people a voice and enabling to express that voice,
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๋˜ ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ๊ทธ๋Ÿฐ ๋ชฉ์†Œ๋ฆฌ๋ฅผ ๋‚ผ ์ˆ˜ ์žˆ๊ฒŒ ํ•ด์ฃผ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
14:17
so I've asked Amy to be the last voice in this short story.
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๊ทธ๋ž˜์„œ ์ œ๊ฐ€ ์—์ด๋ฏธ์—๊ฒŒ ์ด ์งง์€ ์ด์•ผ๊ธฐ์˜ ๋งˆ์ง€๋ง‰์„ ๋ถ€ํƒํ–ˆ์Šต๋‹ˆ๋‹ค.
14:21
So, Amy?
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์—์ด๋ฏธ?
14:24
AO: This project was really exciting for me,
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์—์ด๋ฏธ: ์ด ํ”„๋กœ์ ํŠธ๋Š” ์ €๋ฅผ ์ •๋ง๋กœ ํฅ๋ถ„์‹œ์ผฐ์–ด์š”.
14:27
because it brought the process of discovery to life,
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์™œ๋ƒํ•˜๋ฉด ๊ทธ๊ฑด ์ œ ์‚ถ์— ๋ฐœ๊ฒฌ์˜ ๊ณผ์ •์„ ๊ฐ€์ ธ๋‹ค ์ฃผ์—ˆ๊ธฐ ๋•Œ๋ฌธ์ด์—์š”.
14:29
and it showed me that anyone, and I mean anyone,
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๊ทธ๋ฆฌ๊ณ  ๋ˆ„๊ตฌ๋‚˜, ์–ด๋Š ๋ˆ„๊ตฌ๋‚˜ ๋ญ”๊ฐ€ ์ƒˆ๋กœ์šด ๊ฒƒ์„
14:32
has the potential to discover something new,
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๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์‚ฌ์‹ค์„ ์ œ๊ฒŒ ๋ณด์—ฌ ์ฃผ์—ˆ์–ด์š”.
14:35
and that a small question can lead into a big discovery.
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๊ทธ ์ž‘์€ ์งˆ๋ฌธ์ด ์ปค๋‹ค๋ž€ ๋ฐœ๊ฒฌ์œผ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๋‹ค๋Š” ์‚ฌ์‹ค์„ ์•Œ๊ฒŒ ๋œ๊ฑฐ์ฃ .
14:39
Changing the way a person thinks about something
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ํ•œ ์‚ฌ๋žŒ์ด ๋ฌด์—‡์ธ๊ฐ€์— ๋Œ€ํ•ด ์ƒ๊ฐํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋ฐ”๊พธ๋Š” ๊ฒƒ์€
14:42
can be easy or hard. It all depends on the way the person
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์‰ฌ์šธ ์ˆ˜๋„ ์–ด๋ ค์šธ ์ˆ˜๋„ ์žˆ์–ด์š”. ๊ทธ๊ฑด ์ „๋ถ€ ๊ทธ ์‚ฌ๋žŒ์ด
14:45
feels about change.
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๋ณ€ํ™”์— ๋Œ€ํ•˜์—ฌ ์ƒ๊ฐํ•˜๋Š” ๋ฐฉ์‹์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง‘๋‹ˆ๋‹ค.
14:47
But changing the way I thought about science was
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์ œ๊ฐ€ ๊ณผํ•™์— ๋Œ€ํ•œ ์ƒ๊ฐ์„ ๋ฐ”๊พผ ๊ฒƒ์€
14:49
surprisingly easy. Once we played the games
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๊ดธ์žฅํžˆ ์‰ฌ์› ์–ด์š”. ์ €ํฌ๊ฐ€ ๊ฒŒ์ž„์„ ํ•˜๋ฉด์„œ
14:52
and then started to think about the puzzle,
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ํผ์ฆ์— ๋Œ€ํ•ด ์ƒ๊ฐํ•˜๊ธฐ ์‹œ์ž‘ํ–‡์ฃ .
14:54
I then realized that science isn't just a boring subject,
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๊ทธ ๋‹ค์Œ์—” ๊ณผํ•™์ด ์ง€๋ฃจํ•œ ๊ณผ๋ชฉ์ด ์•„๋‹ˆ๋ผ๋Š” ๊ฒƒ์„ ์•Œ๊ฒŒ ๋์Šต๋‹ˆ๋‹ค.
14:58
and that anyone can discover something new.
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๊ทธ๋ฆฌ๊ณ  ์–ด๋ˆ„ ๋ˆ„๊ตฌ๋‚˜ ์ƒˆ๋กœ์šด ๊ฒƒ์„ ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ๋„์š”.
15:01
You just need an opportunity. My opportunity came
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๋‹จ์ง€ ๊ธฐํšŒ๊ฐ€ ํ•„์š”ํ•  ๋”ฐ๋ฆ„์ด์—์š”. ์ €์˜ ๊ธฐํšŒ๋Š”
15:04
in the form of Beau, and the Blackawton Bee Project.
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๋ทฐ๋ผ๋Š” ๋ถ„๊ณผ Blackawton ๊ฟ€๋ฒŒ ํ”„๋กœ์ ํŠธ๋ฅผ ํ†ตํ•ด์„œ ์˜จ๊ฑฐ์—์š”.
15:07
Thank you.BL: Thank you very much. (Applause)
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๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. (์—ฐ์‚ฌ) ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. (ํ™˜ํ˜ธ)
15:11
(Applause)
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(๋ฐ•์ˆ˜)
์ด ์›น์‚ฌ์ดํŠธ ์ •๋ณด

์ด ์‚ฌ์ดํŠธ๋Š” ์˜์–ด ํ•™์Šต์— ์œ ์šฉํ•œ YouTube ๋™์˜์ƒ์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ์ „ ์„ธ๊ณ„ ์ตœ๊ณ ์˜ ์„ ์ƒ๋‹˜๋“ค์ด ๊ฐ€๋ฅด์น˜๋Š” ์˜์–ด ์ˆ˜์—…์„ ๋ณด๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ๋™์˜์ƒ ํŽ˜์ด์ง€์— ํ‘œ์‹œ๋˜๋Š” ์˜์–ด ์ž๋ง‰์„ ๋”๋ธ” ํด๋ฆญํ•˜๋ฉด ๊ทธ๊ณณ์—์„œ ๋™์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค. ๋น„๋””์˜ค ์žฌ์ƒ์— ๋งž์ถฐ ์ž๋ง‰์ด ์Šคํฌ๋กค๋ฉ๋‹ˆ๋‹ค. ์˜๊ฒฌ์ด๋‚˜ ์š”์ฒญ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์ด ๋ฌธ์˜ ์–‘์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฌธ์˜ํ•˜์‹ญ์‹œ์˜ค.

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