ABOUT THE SPEAKERS
Beau Lotto - Neuroscientist, Artist
Beau Lotto is founder of Lottolab, a hybrid art studio and science lab. With glowing, interactive sculpture -- and old-fashioned peer-reviewed research--he's illuminating the mysteries of the brain's visual system.

Why you should listen

"Let there be perception," was evolution's proclamation, and so it was that all creatures, from honeybees to humans, came to see the world not as it is, but as was most useful. This uncomfortable place--where what an organism's brain sees diverges from what is actually out there--is what Beau Lotto and his team at Lottolab are exploring through their dazzling art-sci experiments and public illusions. Their Bee Matrix installation, for example, places a live bee in a transparent enclosure where gallerygoers may watch it seek nectar in a virtual meadow of luminous Plexiglas flowers. (Bees, Lotto will tell you, see colors much like we humans do.) The data captured isn't just discarded, either: it's put to good use in probing scientific papers, and sometimes in more exhibits.

At their home in London’s Science Museum, the lab holds "synesthetic workshops" where kids and adults make abstract paintings that computers interpret into music, and they host regular Lates--evenings of science, music and "mass experiments." Lotto is passionate about involving people from all walks of life in research on perception--both as subjects and as fellow researchers. One such program, called "i,scientist," in fact led to the publication of the first ever peer-reviewed scientific paper written by schoolchildren ("Blackawton Bees," December 2010). It starts, "Once upon a time ..."

These and Lotto's other conjurings are slowly, charmingly bending the science of perception--and our perceptions of what science can be.

More profile about the speaker
Beau Lotto | Speaker | TED.com
Amy O'Toole - Student
Amy O'Toole is a 12-year-old student who helped run a science experiment inspired by Beau Lotto's participative science approach. At age 10 she became one of the youngest people ever to publish a peer-reviewed science paper.

Why you should listen

Amy O'Toole is a 12-year-old student with a peer-reviewed scientific publication under her belt. She took part in a participative science program led by Beau Lotto , called "i, scientist," which inspired a science experiment by a group of 26 primary school students in Blackawton, Devon, UK. O'Toole was never interested in science before this project, but now intends to study the human mind and body. The project led to the publication of the first ever peer-reviewed scientific paper written by schoolchildren ("Blackawton Bees," Royal Society's Biology Letters, December 2010). It starts: "Once upon a time ... ."

More profile about the speaker
Amy O'Toole | Speaker | TED.com
TEDGlobal 2012

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

Beau Lotto + Amy O’Toole: Znanost je za svakoga, uključujući djecu

Filmed:
1,504,898 views

Što je zajedničko znanosti i igranju? Neuroznanstvenik Beau Lotto misli kako svi ljudi (uključujući djecu) trebaju sudjelovati u znanosti i, procesom otkrivanja, promijeniti percepciju. Podupire ga i dvanaestogodišnja Amy O'Toole, koja je, zajedno s 25 učenika iz svojeg razreda, objavila prvi recenzirani članak koji su napisala školska djeca, Projekt blackawtonskih pčela. On počinje ovako: "Bilo jednom davno…"
- Neuroscientist, Artist
Beau Lotto is founder of Lottolab, a hybrid art studio and science lab. With glowing, interactive sculpture -- and old-fashioned peer-reviewed research--he's illuminating the mysteries of the brain's visual system. Full bio - Student
Amy O'Toole is a 12-year-old student who helped run a science experiment inspired by Beau Lotto's participative science approach. At age 10 she became one of the youngest people ever to publish a peer-reviewed science paper. Full bio

Double-click the English transcript below to play the video.

00:17
BeauBeau LottoLoto: So, this gameigra is very simplejednostavan.
0
1487
2169
Beau Lotto: Ova je igra vrlo jednostavna.
00:19
All you have to do is readčitati what you see. Right?
1
3656
4047
Samo morate pročitati ono što vidite. U redu?
00:23
So, I'm going to countračunati to you, so we don't all do it togetherzajedno.
2
7703
3201
Brojit ću vam, tako da to ne činimo svi zajedno.
00:26
Okay, one, two, threetri.AudiencePublika: Can you readčitati this?
3
10904
2499
U redu, jedan, dva, tri.
Publika: Možete li ovo pročitati?
00:29
BLBL: AmazingNevjerojatna. What about this one? One, two, threetri.AudiencePublika: You are not readingčitanje this.
4
13403
4379
BL: Odlično. A ovo? Jedan, dva, tri.
Publika: Vi ne čitate ovo.
00:33
BLBL: All right. One, two, threetri. (LaughterSmijeh)
5
17782
5316
BL: U redu. Jedan, dva, tri. (Smijeh)
00:38
If you were Portugueseportugalski, right? How about this one? One, two, threetri.
6
23098
4797
Da ste Portugalci, zar ne? A ovo? Jedan, dva, tri.
00:43
AudiencePublika: What are you readingčitanje?
7
27895
1978
Publika: Što to čitate?
00:45
BLBL: What are you readingčitanje? There are no wordsriječi there.
8
29873
3458
BL: Što čitate? Ovdje nema riječi.
00:49
I said, readčitati what you're seeingvidim. Right?
9
33331
2537
Rekao sam da čitate što vidite. Zar ne?
00:51
It literallydoslovce sayskaže, "WatWAT arAR ouOu reaRea in?" (LaughterSmijeh) Right?
10
35868
3850
Doslovno piše: "Št čtaš?" (Smijeh) Zar ne?
00:55
That's what you should have said. Right? Why is this?
11
39718
3828
To je ono što ste trebali reći. Zašto je tako?
00:59
It's because perceptionpercepcija is groundedosnovan in our experienceiskustvo.
12
43546
3536
To je zato što se percepcija
temelji na našem iskustvu.
01:02
Right? The brainmozak takes meaninglessbez značenja informationinformacija
13
47082
2897
Mozak uzima informacije bez značenja
01:05
and makesmarke meaningznačenje out of it, whichkoji meanssredstva we never see
14
49979
2959
i iz njih stvara značenje,
što znači da mi nikad ne vidimo
01:08
what's there, we never see informationinformacija,
15
52938
2256
ono što postoji, nikad ne vidimo informaciju,
01:11
we only ever see what was usefulkoristan to see in the pastprošlost.
16
55194
3275
već samo ono što je bilo korisno vidjeti u prošlosti.
01:14
All right? WhichKoji meanssredstva, when it comesdolazi to perceptionpercepcija,
17
58469
2736
U redu? To znači da smo, kad je riječ o percepciji,
01:17
we're all like this frogžaba.
18
61205
6795
poput ove žabe.
01:23
(LaughterSmijeh)
19
68000
912
(Smijeh)
01:24
Right? It's gettinguzimajući informationinformacija. It's generatinggeneriranje behaviorponašanje
20
68912
3395
Ona dobiva informacije.
Proizvodi ponašanje
01:28
that's usefulkoristan. (LaughterSmijeh)
21
72307
4468
koje je korisno. (Smijeh)
01:32
(LaughterSmijeh)
22
76775
7032
(Smijeh)
01:39
(VideoVideo) Man: OwAu! OwAu! (LaughterSmijeh) (ApplausePljesak)
23
83807
5982
(Video) Čovjek: Au! Au! (Smijeh) (Pljesak)
01:45
BLBL: And sometimesponekad, when things don't go our way,
24
89789
2712
BL: A ponekad, kad stvari ne idu
kako bismo mi željeli,
01:48
we get a little bitbit annoyedojađen, right?
25
92501
2259
naljutimo se, zar ne?
01:50
But we're talkingkoji govori about perceptionpercepcija here, right?
26
94760
2730
Ali govorimo o percepciji.
01:53
And perceptionpercepcija underpinspodupire everything we think, we know,
27
97490
4365
A percepcija naglašava sve što mislimo, znamo,
01:57
we believe, our hopesnade, our dreamssnovi, the clothesodjeća we wearnositi,
28
101855
2871
vjerujemo, naše nade,
naše snove, odjeću koju nosimo,
02:00
fallingkoji pada in love, everything beginspočinje with perceptionpercepcija.
29
104726
3743
zaljubljivanje, sve počinje opažanjem.
02:04
Now if perceptionpercepcija is groundedosnovan in our historypovijest, it meanssredstva
30
108469
2945
Ako se percepcija temelji
na našoj povijesti, to znači
02:07
we're only ever respondingreagirati accordingpo to what we'veimamo doneučinio before.
31
111414
3459
da mi uvijek reagiramo u skladu
s onime što smo činili prije.
02:10
But actuallyzapravo, it's a tremendousogroman problemproblem,
32
114873
3076
Ali to je zapravo golem problem,
02:13
because how can we ever see differentlyrazličito?
33
117949
3617
jer kako ćemo onda ikad moći vidjeti drukčije?
02:17
Now, I want to tell you a storypriča about seeingvidim differentlyrazličito,
34
121566
4063
Želim vam ispričati priču o gledanju na drugi način,
02:21
and all newnovi perceptionspercepcija beginpočeti in the sameisti way.
35
125629
3988
a sve nove percepcije počinju na isti način.
02:25
They beginpočeti with a questionpitanje.
36
129617
2582
Počinju pitanjem.
02:28
The problemproblem with questionspitanja is they createstvoriti uncertaintynesigurnost.
37
132199
3238
Problem je što pitanja stvaraju nesigurnost.
02:31
Now, uncertaintynesigurnost is a very badloše thing. It's evolutionarilyevolucijski
38
135437
2729
Nesigurnost je vrlo loša. Evolucijski je loša.
02:34
a badloše thing. If you're not sure that's a predatorgrabežljivac, it's too latekasno.
39
138166
3601
Ako niste sigurni je li to grabežljivac, prekasno je.
02:37
Okay? (LaughterSmijeh)
40
141767
1360
Zar ne? (Smijeh)
02:39
Even seasicknessmorska bolest is a consequenceposljedica of uncertaintynesigurnost.
41
143127
3160
Čak je i morska bolest posljedica nesigurnosti.
02:42
Right? If you go down belowispod on a boatčamac, your innerunutrašnji earsuši
42
146287
2252
Ako se spuštate na brodu, vaše unutarnje uho
02:44
are you tellingreći you you're movingkreće. Your eyesoči, because
43
148539
2176
govori vam da se krećete. A vaše oči,
02:46
it's movingkreće in registerRegistrirajte se with the boatčamac, say I'm standingstajati still.
44
150715
2316
jer se pomiču u skladu s brodom,
govore: "Stojim na mjestu."
02:48
Your brainmozak cannotNe možete dealdogovor with the uncertaintynesigurnost of that informationinformacija, and it getsdobiva illbolestan.
45
153031
4655
Vaš mozak ne može se nositi
s nesigurnošću te informacije pa oboli.
02:53
The questionpitanje "why?" is one of the mostnajviše dangerousopasno things you can do,
46
157686
3929
Pitanje "Zašto?" jedna je od
najopasnijih stvari koje možete učiniti,
02:57
because it takes you into uncertaintynesigurnost.
47
161615
2992
jer vas vodi u nesigurnost.
03:00
And yetjoš, the ironyironija is, the only way we can ever
48
164607
2879
Ipak, ironično je da je jedini način
03:03
do anything newnovi is to stepkorak into that spaceprostor.
49
167486
3536
da učinimo nešto novo
to da zakoračimo u taj prostor.
03:06
So how can we ever do anything newnovi? Well fortunatelysrećom,
50
171022
3224
Pa kako onda ikad možemo
učiniti nešto novo? Na sreću,
03:10
evolutionevolucija has givendan us an answerodgovor, right?
51
174246
3584
evolucija nam je dala odgovor, zar ne?
03:13
And it enablesomogućuje us to addressadresa even the mostnajviše difficulttežak
52
177830
3595
On nam omogućuje suočavanje i s najtežim pitanjima.
03:17
of questionspitanja. The bestnajbolje questionspitanja are the onesone that createstvoriti the mostnajviše uncertaintynesigurnost.
53
181425
4679
Najbolja su pitanja ona koja
stvaraju najviše nesigurnosti.
03:22
They're the onesone that questionpitanje the things we think to be truepravi alreadyveć. Right?
54
186104
3956
To su ona koja dovode u pitanje stvari
za koje već mislimo da su istinite.
03:25
It's easylako to askpitati questionspitanja about how did life beginpočeti,
55
190060
1989
Lako je postaviti pitanje o tome kako je počeo život
03:27
or what extendsproteže se beyondIznad the universesvemir, but to questionpitanje what you think to be truepravi alreadyveć
56
192049
3308
ili što se nalazi izvan svemira, ali dovesti u pitanje
ono za što već misliš da je istina --
03:31
is really steppingkoračni into that spaceprostor.
57
195357
3001
to je pravi korak u taj prostor.
03:34
So what is evolution'sEvolucija je answerodgovor to the problemproblem of uncertaintynesigurnost?
58
198358
4810
Pa, koji je odgovor evolucije
na problem nesigurnosti?
03:39
It's playigrati.
59
203168
1773
To je igra.
03:40
Now playigrati is not simplyjednostavno a processpostupak. ExpertsStručnjaci in playigrati will tell you
60
204941
4193
Igra nije samo proces. Stručnjaci za igru reći će vam
03:45
that actuallyzapravo it's a way of beingbiće.
61
209134
2615
da je to zapravo način života.
03:47
PlayIgrati is one of the only humanljudski endeavorsnastojanja where uncertaintynesigurnost
62
211749
2891
Igra je jedna od rijetkih ljudskih radnji
gdje se nesigurnost
03:50
is actuallyzapravo celebratedslavni. UncertaintyNesigurnost is what makesmarke playigrati funzabava.
63
214640
4326
zapravo slavi. Nesigurnost igru čini zabavnom.
03:54
Right? It's adaptableprilagodljiv to changepromijeniti. Right? It opensotvara possibilitymogućnost,
64
218966
4275
Sposobna je za promjenu. Otvara mogućnosti
03:59
and it's cooperativezadruga. It's actuallyzapravo how we do our socialsocijalni bondingvezivanje,
65
223241
4109
i kooperativna je. Tako se
zapravo socijalno zbližavamo,
04:03
and it's intrinsicallyintrinzično motivatedmotivirani. What that meanssredstva
66
227350
1726
i intrinsično je motivirana. To znači
04:04
is that we playigrati to playigrati. PlayIgrati is its ownvlastiti rewardnagrada.
67
229076
4606
da se igramo kako bismo se igrali.
Igra je sama sebi nagrada.
04:09
Now if you look at these fivepet waysnačine of beingbiće,
68
233682
3891
Ako pogledate ovih pet načina življenja,
04:13
these are the exacttočno sameisti waysnačine of beingbiće you need
69
237573
2721
to su upravo isti načini življenja koje trebate
04:16
in ordernarudžba to be a good scientistnaučnik.
70
240294
2036
da biste bili dobar znanstvenik.
04:18
ScienceZnanost is not defineddefiniran by the methodnačin sectionodjeljak of a paperpapir.
71
242330
3027
Znanost se ne definira metodičnim dijelom rada.
04:21
It's actuallyzapravo a way of beingbiće, whichkoji is here, and this is truepravi
72
245357
3140
Ona je način života koji je ovdje i istinit je
04:24
for anything that is creativekreativan.
73
248497
2653
za bilo što što je kreativno.
04:27
So if you adddodati rulespravila to playigrati, you have a gameigra.
74
251150
4203
Ako dodate pravila za igranje, imate igru.
04:31
That's actuallyzapravo what an experimenteksperiment is.
75
255353
2790
I pokusi su upravo to.
04:34
So armednaoružani with these two ideasideje,
76
258143
1919
Naoružani ovim dvjema idejama,
04:35
that scienceznanost is a way of beingbiće and experimentspokusi are playigrati,
77
260062
4322
da je znanost način života, a da su pokusi igra,
04:40
we askedpitao, can anyonebilo tko becomepostati a scientistnaučnik?
78
264384
3453
pitali smo: Može li bilo tko postati znanstvenik?
04:43
And who better to askpitati than 25 eight-osam- to 10-year-old-godinu star childrendjeca?
79
267837
3500
Najbolje je to pitati 25 djece
u dobi od osam do deset godina.
04:47
Because they're expertsstručnjaci in playigrati. So I tookuzeo my beepčela arenaarena
80
271337
3507
Jer oni su stručnjaci za igru.
Tako sam odnio svoju pčelinju arenu
04:50
down to a smallmali schoolškola in DevonDevon, and the aimcilj of this
81
274844
3547
u malu školu u Devonu, a cilj toga
04:54
was to not just get the kidsdjeca to see scienceznanost differentlyrazličito,
82
278391
4244
bio je ne samo pridobiti djecu
da znanost vide drukčije,
04:58
but, throughkroz the processpostupak of scienceznanost, to see themselvesse differentlyrazličito. Right?
83
282635
4598
već da, kroz proces znanosti,
vide same sebe drukčije.
05:03
The first stepkorak was to askpitati a questionpitanje.
84
287233
3408
Prvi je korak bio postaviti pitanje.
05:06
Now, I should say that we didn't get fundingfinanciranje for this studystudija
85
290641
2880
Moram reći da nismo dobili
sponzorstvo za ovaj projekt
05:09
because the scientistsznanstvenici said smallmali childrendjeca couldn'tne mogu make
86
293521
3330
jer su znanstvenici rekli da mala djeca ne mogu
05:12
a usefulkoristan contributiondoprinos to scienceznanost, and the teachersučitelji said kidsdjeca couldn'tne mogu do it.
87
296851
4302
dati koristan doprinos znanosti, a i učitelji su rekli isto to.
05:17
So we did it anywayu svakom slučaju. Right? Of coursenaravno.
88
301153
3734
Ali ipak smo to napravili. Naravno.
05:20
So, here are some of the questionspitanja. I put them in smallmali printotisak
89
304887
2819
Ovo su neka od pitanja.
Ispisao sam ih malim slovima
05:23
so you wouldn'tne bi bothersmeta readingčitanje it. PointTočka is that fivepet of the questionspitanja that the kidsdjeca camedošao up with
90
307706
4440
kako se ne biste zamarali čitanjem. Bit je u tome
da je pet pitanja koja su djeca smislila
05:28
were actuallyzapravo the basisosnova of scienceznanost publicationobjavljivanje the last fivepet to 15 yearsgodina. Right?
91
312146
4618
bilo temelj znanstvene publikacije
posljednjih pet do petnaest godina.
05:32
So they were askingtraži questionspitanja that were significantznačajan
92
316764
2660
Postavljali su pitanja koja su bila značajna
05:35
to expertstručnjak scientistsznanstvenici.
93
319424
2130
znanstvenim stručnjacima.
05:37
Now here, I want to sharePodjeli the stagefaza with someonenetko quitedosta specialposeban. Right?
94
321554
4134
Želio bih podijeliti pozornicu
s nekim veoma posebnim.
05:41
She was one of the youngmladi people who was involvedumiješan in this studystudija,
95
325688
2612
Ona je bila jedna od mladih ljudi
uključenih u ovo istraživanje
05:44
and she's now one of the youngestnajmlađi publishedObjavljeno scientistsznanstvenici
96
328300
2334
i ona je sada jedna od najmlađih
znanstvenika s objavljenim radom.
05:46
in the worldsvijet. Right? She will now, oncejednom she comesdolazi ontona stagefaza,
97
330634
3883
Ona će sad, kad dođe na pozornicu,
05:50
will be the youngestnajmlađi personosoba to ever speakgovoriti at TEDTED. Right?
98
334517
3698
biti najmlađa osoba koja je ikad govorila na TED-u.
05:54
Now, scienceznanost and askingtraži questionspitanja is about couragehrabrost.
99
338215
2875
Znanost i postavljanje pitanja stvar su hrabrosti.
05:56
Now she is the personificationpersonifikacija of couragehrabrost, because she's
100
341090
3200
Ona je utjelovljenje hrabrosti
06:00
going to standstajati up here and talk to you all.
101
344290
1387
jer će stati ovdje i govoriti svima vama.
06:01
So AmyAmy, would you please come up? (ApplausePljesak)
102
345677
5254
Amy, hoćeš li, molim te, doći gore? (Pljesak)
06:06
(ApplausePljesak)
103
350931
7185
(Pljesak)
06:14
So Amy'sAmy going to help me tell the storypriča of what we call
104
358116
2519
Amy će mi pomoći ispričati priču o
06:16
the BlackawtonBlackawton BeesPčele ProjectProjekt, and first she's going to tell you
105
360635
2666
Projektu blackawtonskih pčela, a prvo će vam reći
06:19
the questionpitanje that they camedošao up with. So go aheadnaprijed, AmyAmy.
106
363301
2545
koje su pitanje smislili. Izvoli, Amy.
06:21
AmyAmy O'TooleO'Toole: Thank you, BeauBeau. We thought
107
365846
1719
Amy O'Toole: Hvala, Beau. Mislili smo
06:23
that it was easylako to see the linkveza betweenizmeđu humansljudi and apesmajmuni
108
367565
3401
kako je lako vidjeti vezu između ljudi i majmuna
06:26
in the way that we think, because we look alikeslično.
109
370966
3024
po načinu na koji mislimo, jer izgledamo slično.
06:29
But we wonderedpitala if there's a possiblemoguće linkveza
110
373990
2689
Ali mi smo se zapitali postoji li veza
06:32
with other animalsživotinje. It'dTo bi be amazingnevjerojatan if humansljudi and beespčele
111
376679
4704
s drugim životinjama.
Bilo bi odlično kad bi ljudi i pčele
06:37
thought similarsličan, sinceod they seemčiniti se so differentdrugačiji from us.
112
381383
4113
razmišljali slično, s obzirom na to
da su tako različite od nas.
06:41
So we askedpitao if humansljudi and beespčele mightmoć solveriješiti
113
385496
3053
Pitali smo mogu li ljudi i pčele rješavati
06:44
complexkompleks problemsproblemi in the sameisti way.
114
388549
2407
složene probleme na isti način.
06:46
Really, we wanted to know if beespčele can alsotakođer adaptprilagoditi
115
390956
3287
Stvarno, htjeli smo znati mogu li se i pčele prilagoditi
06:50
themselvesse to newnovi situationssituacije usingkoristeći previouslyprethodno learnednaučeno rulespravila
116
394243
3707
novim situacijama koristeći ranije naučena pravila
06:53
and conditionsUvjeti. So what if beespčele can think like us?
117
397950
4214
i stanja. Što ako pčele mogu misliti poput nas?
06:58
Well, it'dto bi be amazingnevjerojatan, sinceod we're talkingkoji govori about an insectinsekt
118
402164
2552
To bi bilo odlično, budući da govorimo o kukcu
07:00
with only one millionmilijuna brainmozak cellsStanice.
119
404716
2525
sa samo jednim milijunom moždanih stanica.
07:03
But it actuallyzapravo makesmarke a lot of senseosjećaj they should,
120
407241
2142
Ali to da bi trebale tako razmišljati
zapravo ima puno smisla,
07:05
because beespčele, like us, can recognizeprepoznati a good flowercvijet
121
409383
3277
zato što pčele, kao mi, mogu prepoznati dobar cvijet
07:08
regardlessbez obzira na of the time of day, the lightsvjetlo, the weathervrijeme,
122
412660
3613
neovisno o dobu dana, svjetlu, vremenu
07:12
or from any anglekut they approachpristup it from. (ApplausePljesak)
123
416273
5742
ili o kutu iz kojeg mu pristupaju. (Pljesak)
07:17
BLBL: So the nextSljedeći stepkorak was to designdizajn an experimenteksperiment,
124
422015
3782
BL: Sljedeći korak bio je osmisliti pokus
07:21
whichkoji is a gameigra. So the kidsdjeca wentotišao off and they designedkonstruiran
125
425797
3302
koji je igra. Djeca su krenula i osmislila
07:24
this experimenteksperiment, and so -- well, gameigra -- and so,
126
429099
3301
taj pokus, odnosno igru.
07:28
AmyAmy, can you tell us what the gameigra was,
127
432400
1466
Amy, možeš li nam reći kakva je bila igra
07:29
and the puzzlepuzzle that you setset the beespčele?
128
433866
2143
i zagonetka koju ste pripremili pčelama?
07:31
AOAO: The puzzlepuzzle we camedošao up with was an if-thenAko-onda rulepravilo.
129
436009
3023
AO: Zagonetka koju smo smislili
bila je po pravilu ako-onda.
07:34
We askedpitao the beespčele to learnnaučiti not just to go to a certainsiguran colorboja,
130
439032
3645
Tražili smo od pčela da nauče
ne samo da odlaze određenoj boji,
07:38
but to a certainsiguran colorboja flowercvijet only
131
442677
2668
već i samo cvijetu određene boje
07:41
when it's in a certainsiguran patternuzorak.
132
445345
1632
kad je u određenom uzorku.
07:42
They were only rewardednagrađeni if they wentotišao to the yellowžuta boja flowerscvijeće
133
446977
3259
Bile su nagrađene samo
ako su odlazile žutim cvjetovima
07:46
if the yellowžuta boja flowerscvijeće were surroundedokružen by the blueplava,
134
450236
3060
koji su okruženi plavima
07:49
or if the blueplava flowerscvijeće were surroundedokružen by the yellowžuta boja.
135
453296
3268
ili ako su plavi cvjetovi bili okruženi žutima.
07:52
Now there's a numberbroj of differentdrugačiji rulespravila the beespčele can learnnaučiti
136
456564
2585
Postoji više različitih pravila koja pčele mogu naučiti
07:55
to solveriješiti this puzzlepuzzle. The interestingzanimljiv questionpitanje is, whichkoji?
137
459149
3425
kako bi riješile zagonetku. Zanimljivo pitanje jest: Koja?
07:58
What was really excitinguzbudljiv about this projectprojekt was we,
138
462574
2780
Bilo je zaista uzbudljivo što mi i Beau
08:01
and BeauBeau, had no ideaideja whetherda li it would work.
139
465354
2343
nismo imali pojma hoće li projekt uspjeti.
08:03
It was completelypotpuno newnovi, and no one had doneučinio it before,
140
467697
2454
To je bilo potpuno novo
i nitko to nije prije učinio,
08:06
includinguključujući adultsodrasli. (LaughterSmijeh)
141
470151
3723
uključujući i odrasle. (Smijeh)
08:09
BLBL: IncludingUključujući the teachersučitelji, and that was really hardteško for the teachersučitelji.
142
473874
3464
BL: Uključujući i učitelje, a to im je teško palo.
08:13
It's easylako for a scientistnaučnik to go in and not have a cluetrag what he's doing,
143
477338
2904
Lako je znanstveniku ući u nešto
i nemati pojma što radi,
08:16
because that's what we do in the lablaboratorija, but for a teacheručitelj, nastavnik, profesor
144
480242
2544
jer mi to radimo u laboratorijima, ali da učitelj
08:18
not to know what's going to happendogoditi se at the endkraj of the day --
145
482786
1625
ne zna što će se dogoditi na kraju dana...
08:20
so much of the creditKreditna goeside to DaveDave StrudwickStrudwick, who was
146
484411
2599
Mnogo zasluga ide Daveu Strudwicku
08:22
the collaboratorsuradnik on this projectprojekt. Okay?
147
487010
2209
koji je bio suradnik na ovom projektu.
08:25
So I'm not going to go throughkroz the wholečitav detailsdetalji of the studystudija
148
489219
2732
Ja sada neću proći sve detalje istraživanja
08:27
because actuallyzapravo you can readčitati about it, but the nextSljedeći stepkorak
149
491951
2638
zato što to možete i pročitati, ali sljedeći korak
08:30
is observationzapažanje. So here are some of the studentsstudenti
150
494589
3645
jest opažanje. Ovdje nekoliko učenika opaža.
08:34
doing the observationszapažanja. They're recordingsnimanje the datapodaci
151
498234
2768
Bilježe podatke o tome
08:36
of where the beespčele flyletjeti.
152
501002
5044
kamo pčele lete.
08:41
(VideoVideo) DaveDave StrudwickStrudwick: So what we're going to do —StudentUčenik: 5C.
153
506046
2023
(Video) Dave Strudwick: Ono što ćemo učiniti --
Učenik: 5C.
08:43
DaveDave StrudwickStrudwick: Is she still going up here?StudentUčenik: Yeah.
154
508069
3990
Dave Strudwick: Ide li još uvijek
tamo gore? Učenik: Da.
08:47
DaveDave StrudwickStrudwick: So you keep trackstaza of eachsvaki.StudentUčenik: HenryHenry, can you help me here?
155
512059
3597
Dave Strudwick: Znači, prati svaku.
Učenik: Henry, možeš mi pomoći?
08:51
BLBL: "Can you help me, HenryHenry?" What good scientistnaučnik sayskaže that, right?
156
515656
2904
BL: "Možeš li mi pomoći, Henry?"
Koji će dobar znanstvenik to reći?
08:54
StudentUčenik: There's two up there.
157
518560
4710
Učenik: Ovdje su dvije.
08:59
And threetri in here.
158
523270
2874
I ovdje tri.
09:02
BLBL: Right? So we'veimamo got our observationszapažanja. We'veMoramo got our datapodaci.
159
526144
2275
BL: Dakle, imamo svoja opažanja.
Imamo svoje podatke.
09:04
They do the simplejednostavan mathematicsmatematika, averagingu prosjeku, etcitd., etcitd.
160
528419
3773
Oni rade jednostavnu matematiku, prosjek, itd., itd.
09:08
And now we want to sharePodjeli. That's the nextSljedeći stepkorak.
161
532192
1931
A sad to želimo podijeliti s drugima. To je sljedeći korak.
09:10
So we're going to writepisati this up and try to submitpodnijeti this
162
534123
1608
Zapisat ćemo to sve
i pokušati predati na objavljivanje.
09:11
for publicationobjavljivanje. Right? So we have to writepisati it up.
163
535731
2856
Znači, moramo to zapisati.
09:14
So we go, of coursenaravno, to the pubpub. All right? (LaughterSmijeh)
164
538587
4513
I odlazimo, naravno, u kafić. U redu? (Smijeh)
09:19
The one on the left is minerudnik, okay? (LaughterSmijeh)
165
543100
2284
Ovaj lijevo je moj. (Smijeh)
09:21
Now, I tell them, a paperpapir has fourčetiri differentdrugačiji sectionsdijelovi:
166
545384
2086
Kažem im da rad ima četiri različita dijela:
09:23
an introductionUvod, a methodsmetode, a resultsrezultati, a discussionrasprava.
167
547470
2807
uvod, metode, rezultate i raspravu.
09:26
The introductionUvod sayskaže, what's the questionpitanje and why?
168
550277
2604
Uvod govori koje je pitanje i zašto.
09:28
MethodsMetode, what did you do? ResultsRezultati, what was the observationzapažanje?
169
552881
3119
Metode su ono što ste radili.
Rezultati, što je opaženo.
09:31
And the discussionrasprava is, who caresbrige? Right?
170
556000
2143
I rasprava, koga briga. Zar ne?
09:34
That's a scienceznanost paperpapir, basicallyu osnovi. (LaughterSmijeh)
171
558143
2459
To je znanstveni rad, manje-više. (Smijeh)
09:36
So the kidsdjeca give me the wordsriječi, right? I put it into a narrativepripovijest,
172
560602
4529
Djeca su mi dala riječi. Ja sam ih samo složio u tekst,
09:41
whichkoji meanssredstva that this paperpapir is writtennapisan in kidspeakkidspeak.
173
565131
3247
što znači da je rad napisan dječjim govorom.
09:44
It's not writtennapisan by me. It's writtennapisan by AmyAmy
174
568378
2528
Nisam ga ja napisao. Napisala ga je Amy
09:46
and the other studentsstudenti in the classklasa. As a consequenceposljedica,
175
570906
3320
i drugi učenici u razredu. Kao posljedica toga,
09:50
this scienceznanost paperpapir beginspočinje, "OnceJednom uponna a time ... " (LaughterSmijeh)
176
574226
6017
ovaj znanstveni rad počinje ovako:
"Bilo jednom davno…" (Smijeh)
09:56
The resultsrezultati sectionodjeljak, it sayskaže: "TrainingTrening phasefaza, the puzzlepuzzle ... duhduh duhduh duuuuuhhhduuuuuhhh." Right? (LaughterSmijeh)
177
580243
5312
Dio o rezultatima kaže: "Faza treniranja,
zagonetka… tam tam taaaam." (Smijeh)
10:01
And the methodsmetode, it sayskaže, "Then we put the beespčele
178
585555
2196
A kod metoda piše: "Onda smo stavili pčele u
10:03
into the fridgehladnjak (and madenapravljen beepčela piepita)," smileySmješko facelice. Right? (LaughterSmijeh)
179
587751
3317
hladnjak (i napravili pitu od pčela)", smajlić. (Smijeh)
10:06
This is a scienceznanost paperpapir. We're going to try to get it publishedObjavljeno.
180
591068
3833
To je znanstveni rad. Pokušat ćemo ga objaviti.
10:10
So here'sevo the titletitula pagestranica. We have a numberbroj of authorsautori there.
181
594901
2834
Evo naslovne stranice. Imamo više autora.
10:13
All the onesone in boldodvažan are eightosam to 10 yearsgodina oldstar.
182
597735
2851
Svi masno otisnuti imaju od 8 do 10 godina.
10:16
The first authorAutor is BlackawtonBlackawton PrimaryPrimarni SchoolŠkola, because
183
600586
2050
Prvi je autor Osnovna škola Blackawton,
10:18
if it were ever referencedupućuje, it would be "BlackawtonBlackawton etet alal,"
184
602636
3246
pa ako se ikad bude citiralo,
bit će navedeno kao "Blackawton et al.",
10:21
and not one individualpojedinac. So we submitpodnijeti it to a publicjavnost accesspristup journalčasopis,
185
605882
3057
a ne kao pojedinac. Rad smo
predali javno dostupnom časopisu
10:24
and it sayskaže this. It said manymnogi things, but it said this.
186
608939
3332
i rekli su nam ovo. Rekli su nam mnogo toga, ali i ovo.
10:28
"I'm afraiduplašen the paperpapir failsne our initialpočetni qualitykvaliteta controlkontrolirati checksprovjerava in severalnekoliko differentdrugačiji waysnačine." (LaughterSmijeh)
187
612271
3919
"Bojim se da rad ne prolazi našu inicijalnu
kontrolu kvalitete iz nekoliko razloga." (Smijeh)
10:32
In other wordsriječi, it startspočinje off "oncejednom uponna a time,"
188
616190
2560
Drugim riječima, počinje s "Bilo jednom davno",
10:34
the figuresfigure are in crayonkrejon, etcitd. (LaughterSmijeh)
189
618750
2526
brojevi su napisani bojicama, itd. (Smijeh)
10:37
So we said, we'lldobro get it reviewedpregledani. So I sentposlao it to DaleDale PurvesPurves,
190
621276
4353
Rekli smo da ćemo ga dati na recenziju
pa sam ga poslao Daleu Purvesu
10:41
who is at the NationalNacionalne AcademyAkademija of ScienceZnanost, one of the leadingvodeći neuroscientistsNeuroznanstvenici in the worldsvijet,
191
625629
3533
koji radi za Nacionalnu akademiju znanosti,
jedan je od vodećih neuroznanstvenika u svijetu,
10:45
and he sayskaže, "This is the mostnajviše originalizvornik scienceznanost paperpapir I have ever readčitati" — (LaughterSmijeh) —
192
629162
3449
i on je rekao: "Ovo je najoriginalniji znanstveni rad
koji sam ikad pročitao" -- (Smijeh) --
10:48
"and it certainlysigurno deserveszaslužuje wideširok exposureizloženost."
193
632611
2097
"i zasigurno zaslužuje široku eksponiranost."
10:50
LarryLarry MaloneyMaloney, expertstručnjak in visionvizija, sayskaže, "The paperpapir is magnificentveličanstven.
194
634708
4271
Larry Maloney, stručnjak za vid,
kaže: "Rad je fantastičan.
10:54
The work would be publishableobjavljivo if doneučinio by adultsodrasli."
195
638979
3366
Mogao bi se objaviti da su ga radili odrasli."
10:58
So what did we do? We sendposlati it back to the editorurednik.
196
642345
1979
I što smo učinili? Poslali smo ga natrag uredniku.
11:00
They say no.
197
644324
1589
Rekao je ne.
11:01
So we askedpitao LarryLarry and NatalieNatalie HempelHempel to writepisati
198
645913
2454
Pa smo pitali Larryja i Natalie Hempel da
11:04
a commentarykomentar situatingsituating the findingsnalaza for scientistsznanstvenici, right,
199
648367
4007
napišu komentar, približe zaključke znanstvenicima
11:08
puttingstavljanje in the referencesreference, and we submitpodnijeti it to BiologyBiologija LettersSlova.
200
652374
4128
i ubace reference, pa smo ga
poslali časopisu Biology Letters.
11:12
And there, it was reviewedpregledani by fivepet independentsamostalan refereesSuci,
201
656502
3327
Ondje ga je pregledalo petero nezavisnih sudaca
11:15
and it was publishedObjavljeno. Okay? (ApplausePljesak)
202
659829
4421
i objavljen je. OK? (Pljesak)
11:20
(ApplausePljesak)
203
664250
6000
(Pljesak)
11:26
It tookuzeo fourčetiri monthsmjeseci to do the scienceznanost,
204
670250
3021
Trebalo je četiri mjeseca da obavimo znanstveni dio,
11:29
two yearsgodina to get it publishedObjavljeno. (LaughterSmijeh)
205
673271
3228
a dvije godine da to objavimo. (Smijeh)
11:32
TypicalTipičan scienceznanost, actuallyzapravo, right? So this makesmarke AmyAmy and
206
676499
4835
Tipično za znanost, zapravo, zar ne? Tako su Amy
11:37
her friendsprijatelji the youngestnajmlađi publishedObjavljeno scientistsznanstvenici in the worldsvijet.
207
681334
2433
i njezini prijatelji postali najmlađi znanstvenici
s objavljenim radom na svijetu.
11:39
What was the feedbackpovratna veza like?
208
683767
2016
Kakva je bila povratna reakcija?
11:41
Well, it was publishedObjavljeno two daysdana before ChristmasBožić,
209
685783
2885
Pa, rad je objavljen dva dana prije Božića,
11:44
downloadedpreuzeto 30,000 timesputa in the first day, right?
210
688668
4003
preuzet je 30.000 puta prvog dana.
11:48
It was the Editors'Posao urednika' ChoiceIzbor in ScienceZnanost, whichkoji is a topvrh scienceznanost magazinečasopis.
211
692671
4040
Bio je Izbor urednika u Scienceu,
vrhunskom znanstvenom časopisu.
11:52
It's foreverzauvijek freelyslobodno accessibledostupan by BiologyBiologija LettersSlova.
212
696711
2542
Zauvijek je besplatno dostupan
preko Biology Lettersa.
11:55
It's the only paperpapir that will ever be freelyslobodno accessibledostupan by this journalčasopis.
213
699253
3680
To je jedini rad koji će ikad biti
besplatno dostupan preko tog časopisa.
11:58
Last yeargodina, it was the second-mostdruga downloadedpreuzeto paperpapir
214
702933
2699
Prošle godine bio je drugi najpreuzimaniji rad
12:01
by BiologyBiologija LettersSlova, and the feedbackpovratna veza from not just scientistsznanstvenici
215
705632
4104
Biology Lettersa, a povratne informacije
ne samo od znanstvenika i učitelja
12:05
and teachersučitelji but the publicjavnost as well.
216
709736
2548
već i od javnosti --
12:08
And I'll just readčitati one.
217
712284
1772
pročitat ću samo jednu.
12:09
"I have readčitati 'Blackawton' Blackawton Bees'Pčela recentlynedavno. I don't have
218
714056
2490
"Nedavno sam pročitao 'Blackawtonske pčele'.
12:12
wordsriječi to explainobjasniti exactlytočno how I am feelingosjećaj right now.
219
716546
2313
Nema riječi kojima bih dočarao
kako se trenutno osjećam.
12:14
What you guys have doneučinio is realstvaran, truepravi and amazingnevjerojatan.
220
718859
2479
To što ste vi napravili stvarno je, istinito i fantastično.
12:17
CuriosityZnatiželja, interestinteres, innocencenevinost and zealžar are the mostnajviše basicosnovni
221
721338
3109
Znatiželja, zanimanje, nevinost i žar najosnovnije su
12:20
and mostnajviše importantvažno things to do scienceznanost.
222
724447
1724
i najvažnije stvari za bavljenje znanošću.
12:22
Who elsedrugo can have these qualitiesosobine more than childrendjeca?
223
726171
2478
Tko drugi može imati te kvalitete više nego djeca?
12:24
Please congratulateČestitam your children'sdječji teamtim from my sidestrana."
224
728649
3541
Molim vas, čestitajte svojem dječjem timu u moje ime."
12:28
So I'd like to concludezaključiti with a physicalfizička metaphormetafora.
225
732190
3383
Želio bih zaključiti s tjelesnom metaforom.
12:31
Can I do it on you? (LaughterSmijeh)
226
735573
2968
Mogu li to učiniti na tebi? (Smijeh)
12:34
Oh yeah, yeah, yeah, come on. Yeah yeah. Okay.
227
738541
3093
Da, da, da, hajde. Da, da. U redu.
12:37
Now, scienceznanost is about takinguzimanje risksrizici, so this is an incrediblenevjerojatan riskrizik, right? (LaughterSmijeh)
228
741634
5177
U znanosti treba riskirati,
a ovo je nevjerojatan rizik, zar ne? (Smijeh)
12:42
For me, not for him. Right? Because we'veimamo only doneučinio this oncejednom before. (LaughterSmijeh)
229
746811
6098
Za mene, ne za njega. Zato što smo ovo
do sad učinili samo jednom. (Smijeh)
12:48
And you like technologytehnologija, right?
230
752909
1576
Ti voliš tehnologiju, zar ne?
12:50
ShimonŠimon SchockenSchocken: Right, but I like myselfsebe.
231
754485
2176
Shimon Schocken: Točno, ali volim i sebe.
12:52
BLBL: This is the epitomesadrzaj of technologytehnologija. Right. Okay.
232
756661
2951
BL: Ovo je savršen primjer tehnologije.
12:55
Now ... (LaughterSmijeh)
233
759612
3608
Sada... (Smijeh)
12:59
Okay. (LaughterSmijeh)
234
763220
2880
U redu. (Smijeh)
13:02
Now, we're going to do a little demonstrationdemonstracija, right?
235
766100
4084
Sad ćemo imati malu demonstraciju, može?
13:06
You have to closeblizu your eyesoči, and you have to pointtočka
236
770184
4019
Moraš zatvoriti oči i uprijeti prstom
13:10
where you hearčuti me clappingpljeskanje. All right?
237
774203
3157
u mjesto gdje me čuješ kako plješćem. U redu?
13:13
(ClappingPljeskanje)
238
777360
4398
(Pljeskanje)
13:17
(ClappingPljeskanje)
239
781758
3144
(Pljeskanje)
13:20
Okay, how about if everyonesvatko over there shoutsviče. One, two, threetri?
240
784902
2903
Kako bi bilo da svi tamo viknu? Jedan, dva, tri.
13:23
AudiencePublika: (ShoutsViče)
241
787805
2901
Publika: (Vikanje)
13:26
(LaughterSmijeh)
242
790706
4446
(Smijeh)
13:31
(ShoutsViče) (LaughterSmijeh)
243
795152
3171
(Vikanje) (Smijeh)
13:34
BrilliantBriljantan. Now, openotvoren your eyesoči. We'llMi ćemo do it one more time.
244
798323
3641
Izvrsno. Otvorite oči. Učinit ćemo ovo još jednom.
13:37
EveryoneSvi over there shoutvikati. (ShoutsViče)
245
801964
2802
Svi tamo viknite. (Vikanje)
13:40
Where'sGdje je the soundzvuk comingdolazak from? (LaughterSmijeh) (ApplausePljesak)
246
804766
5932
Odakle dolazi zvuk? (Smijeh) (Pljesak)
13:46
Thank you very much. (ApplausePljesak)
247
810698
4230
Puno hvala. (Pljesak)
13:50
What's the pointtočka? The pointtočka is what scienceznanost does for us.
248
814928
3713
U čemu je stvar? Stvar je
u onome što znanost čini za nas.
13:54
Right? We normallynormalno walkhodati throughkroz life respondingreagirati,
249
818641
2406
Obično idemo kroz život odgovarajući,
13:56
but if we ever want to do anything differentdrugačiji, we have to
250
821047
2212
ali ako ikad želimo učiniti nešto drukčije,
13:59
stepkorak into uncertaintynesigurnost. When he openedotvori his eyesoči,
251
823259
2689
moramo zakoračiti u nesigurnost. Kad je otvorio oči,
14:01
he was ableu stanju to see the worldsvijet in a newnovi way.
252
825948
2382
mogao je vidjeti svijet na nov način.
14:04
That's what scienceznanost offersponude us. It offersponude the possibilitymogućnost
253
828330
3168
To je ono što nam znanost nudi. Nudi nam mogućnost
14:07
to stepkorak on uncertaintynesigurnost throughkroz the processpostupak of playigrati, right?
254
831498
4016
da zakoračimo u nesigurnost kroz proces igre.
14:11
Now, truepravi scienceznanost educationobrazovanje I think should be about
255
835514
3024
Istinsko znanstveno obrazovanje trebalo bi
14:14
givingdavanje people a voiceglas and enablingomogućujući to expressizraziti that voiceglas,
256
838538
3399
dati ljudima glas i omogućiti im da izraze taj glas
14:17
so I've askedpitao AmyAmy to be the last voiceglas in this shortkratak storypriča.
257
841937
4369
pa sam pitao Amy da bude
posljednji glas u ovoj kratkoj priči.
14:22
So, AmyAmy?
258
846306
3105
Amy?
14:25
AOAO: This projectprojekt was really excitinguzbudljiv for me,
259
849411
2553
AO: Ovaj projekt bio mi je zbilja uzbudljiv
14:27
because it broughtdonio the processpostupak of discoveryotkriće to life,
260
851964
2671
jer je oživio proces otkrivanja
14:30
and it showedpokazala me that anyonebilo tko, and I mean anyonebilo tko,
261
854635
2911
i pokazao mi da svatko, stvarno svatko,
14:33
has the potentialpotencijal to discoverotkriti something newnovi,
262
857546
2753
ima potencijal otkriti nešto novo,
14:36
and that a smallmali questionpitanje can leaddovesti into a bigvelika discoveryotkriće.
263
860299
4072
i da malo pitanje može dovesti do velikog otkrića.
14:40
ChangingPromjena the way a personosoba thinksmisli about something
264
864371
2652
Promjena načina na koji osoba razmišlja o nečemu
14:42
can be easylako or hardteško. It all dependsovisi on the way the personosoba
265
867023
3712
može biti laka ili teška. Sve ovisi o onome što
14:46
feelsosjeća about changepromijeniti.
266
870735
1488
osoba misli o toj promjeni.
14:48
But changingmijenjanje the way I thought about scienceznanost was
267
872223
2452
Ali mijenjanje načina na koji
sam ja razmišljala o znanosti
14:50
surprisinglyiznenađujuče easylako. OnceJednom we playedigrao the gamesigre
268
874675
2275
bilo je iznenađujuće lako. Kad smo počeli igrati igre
14:52
and then startedpočeo to think about the puzzlepuzzle,
269
876950
2418
i razmišljati o zagonetki,
14:55
I then realizedshvatio that scienceznanost isn't just a boringdosadan subjectpredmet,
270
879368
3857
tad sam shvatila da znanost
nije samo dosadan predmet
14:59
and that anyonebilo tko can discoverotkriti something newnovi.
271
883225
3194
te da svatko može otkriti nešto novo.
15:02
You just need an opportunityprilika. My opportunityprilika camedošao
272
886419
3200
Samo trebate priliku. Moja prilika došla je
15:05
in the formoblik of BeauBeau, and the BlackawtonBlackawton BeePčela ProjectProjekt.
273
889619
2636
u obliku Beaua i Projekta blackawtonskih pčela.
15:08
Thank you.BLBL: Thank you very much. (ApplausePljesak)
274
892255
4361
Hvala.
BL: Puno hvala. (Pljesak)
15:12
(ApplausePljesak)
275
896616
7747
(Pljesak)
Translated by Senzos Osijek
Reviewed by Suzana Barić

▲Back to top

ABOUT THE SPEAKERS
Beau Lotto - Neuroscientist, Artist
Beau Lotto is founder of Lottolab, a hybrid art studio and science lab. With glowing, interactive sculpture -- and old-fashioned peer-reviewed research--he's illuminating the mysteries of the brain's visual system.

Why you should listen

"Let there be perception," was evolution's proclamation, and so it was that all creatures, from honeybees to humans, came to see the world not as it is, but as was most useful. This uncomfortable place--where what an organism's brain sees diverges from what is actually out there--is what Beau Lotto and his team at Lottolab are exploring through their dazzling art-sci experiments and public illusions. Their Bee Matrix installation, for example, places a live bee in a transparent enclosure where gallerygoers may watch it seek nectar in a virtual meadow of luminous Plexiglas flowers. (Bees, Lotto will tell you, see colors much like we humans do.) The data captured isn't just discarded, either: it's put to good use in probing scientific papers, and sometimes in more exhibits.

At their home in London’s Science Museum, the lab holds "synesthetic workshops" where kids and adults make abstract paintings that computers interpret into music, and they host regular Lates--evenings of science, music and "mass experiments." Lotto is passionate about involving people from all walks of life in research on perception--both as subjects and as fellow researchers. One such program, called "i,scientist," in fact led to the publication of the first ever peer-reviewed scientific paper written by schoolchildren ("Blackawton Bees," December 2010). It starts, "Once upon a time ..."

These and Lotto's other conjurings are slowly, charmingly bending the science of perception--and our perceptions of what science can be.

More profile about the speaker
Beau Lotto | Speaker | TED.com
Amy O'Toole - Student
Amy O'Toole is a 12-year-old student who helped run a science experiment inspired by Beau Lotto's participative science approach. At age 10 she became one of the youngest people ever to publish a peer-reviewed science paper.

Why you should listen

Amy O'Toole is a 12-year-old student with a peer-reviewed scientific publication under her belt. She took part in a participative science program led by Beau Lotto , called "i, scientist," which inspired a science experiment by a group of 26 primary school students in Blackawton, Devon, UK. O'Toole was never interested in science before this project, but now intends to study the human mind and body. The project led to the publication of the first ever peer-reviewed scientific paper written by schoolchildren ("Blackawton Bees," Royal Society's Biology Letters, December 2010). It starts: "Once upon a time ... ."

More profile about the speaker
Amy O'Toole | Speaker | TED.com